Journal Semanal — 23/03/2026 → 29/03/2026

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Olá, leobanido Agradecemos a sua transação recente no Steam. Para ver os detalhes da sua transação, acesse https://store.steampowered.com/email/PurchaseReceipt?sparams=eJx9VMtu3DAM_JXA52CzfuzDOQW55NJeUvS0KQTaYmwhsuRI8m6Nov9eyo_U9jq5WTMUzRmK_BNIaFReonFtjcF9sA1uA4MgK_oupM5AElAbzZvcKah8yA-HUBFqm7rWxmEFQhI8HB-sp2t9QYN8k-tJpBXO3y-dq-39y93LXYmy3qzED0ktKte4nK6Eh0MSRds0jYnNhJRCFSzXjXKmJfrxeQKLeslA3gFD-RJJlRJcE-MMKCs4oUl83B_2h3QbRVEYJXEcjzTkTmjFOHTFj5XsQuKLBq0bTHO6qxk4N2gtgd2Ra_qddQ-FPwzquqyD3T4Lkr1nwdGwGtqKNLMKXal9VWF8pABhDeaNMaRuiBj-mdlSXzhmTXHBjMS_DbgPRpV7Aw50vICU6BhU3oUh5OOfH2hy3KadDgeSUacqstGuE2eQZ2Rc2HySccI7-D0DbSnqum-ZdevM8oqo_Ithr4gzmIxo867NS2Ze7CgPqh683aY3j8_fiCnBks_5GxSj_2dwkxfjMyIYhZxJ3YJ0LXP6DZVvaRp5tnuwVMkFDGe1FspZRnMCKvcZo-iY-AqoSBxt7E0KZ2j_AE7BWMuvKemf5ClIwuPuEM-ZXuap1zljlk05kZRZAFkMmZyHRLv0Omr9LjPdBFxRYwu_oD5JOu3xFbno9Je5PyuNo82NqP38enZOvrvWg-G10N79OT5uFygMYjekYwOXTokKWaPEWgdeDb43_WCu6e1H_GMivwj5P-BXQcOyE5wV4tWtWtdtpgnt2VGfdf2emy1UP0K7Tbjfb2g7bpLdfNuOV74LBfbmiYZO2MU-Ft7r4GeGhsaECwj-_gMH6jNH&check=fd22c6502781315118a6f5446b2d631b8bdcdf8ad6174c6d7d5566a58950d35c. Atenciosamente, A equipe do Steam -- Esta notificação foi enviada ao endereço de e-mail associado à sua conta Steam. Esta mensagem foi gerada automaticamente. Não responda a este e-mail. Caso necessite de ajuda, acesse o Suporte Steam. https://help.steampowered.com © Valve Corporation Todos os direitos reservados. Todas as marcas registradas são propriedade dos seus respectivos donos nos EUA e em outros países. -- Veja esta mensagem na web: https://store.steampowered.com/email/PurchaseReceipt?sparams=eJx9VMtu3DAM_JXA52CzfuzDOQW55NJeUvS0KQTaYmwhsuRI8m6Nov9eyo_U9jq5WTMUzRmK_BNIaFReonFtjcF9sA1uA4MgK_oupM5AElAbzZvcKah8yA-HUBFqm7rWxmEFQhI8HB-sp2t9QYN8k-tJpBXO3y-dq-39y93LXYmy3qzED0ktKte4nK6Eh0MSRds0jYnNhJRCFSzXjXKmJfrxeQKLeslA3gFD-RJJlRJcE-MMKCs4oUl83B_2h3QbRVEYJXEcjzTkTmjFOHTFj5XsQuKLBq0bTHO6qxk4N2gtgd2Ra_qddQ-FPwzquqyD3T4Lkr1nwdGwGtqKNLMKXal9VWF8pABhDeaNMaRuiBj-mdlSXzhmTXHBjMS_DbgPRpV7Aw50vICU6BhU3oUh5OOfH2hy3KadDgeSUacqstGuE2eQZ2Rc2HySccI7-D0DbSnqum-ZdevM8oqo_Ithr4gzmIxo867NS2Ze7CgPqh683aY3j8_fiCnBks_5GxSj_2dwkxfjMyIYhZxJ3YJ0LXP6DZVvaRp5tnuwVMkFDGe1FspZRnMCKvcZo-iY-AqoSBxt7E0KZ2j_AE7BWMuvKemf5ClIwuPuEM-ZXuap1zljlk05kZRZAFkMmZyHRLv0Omr9LjPdBFxRYwu_oD5JOu3xFbno9Je5PyuNo82NqP38enZOvrvWg-G10N79OT5uFygMYjekYwOXTokKWaPEWgdeDb43_WCu6e1H_GMivwj5P-BXQcOyE5wV4tWtWtdtpgnt2VGfdf2emy1UP0K7Tbjfb2g7bpLdfNuOV74LBfbmiYZO2MU-Ft7r4GeGhsaECwj-_gMH6jNH&check=fd22c6502781315118a6f5446b2d631b8bdcdf8ad6174c6d7d5566a58950d35c

Para quem ficou de fora: isso é pra vocêLeo Santos, As inscrições para a Formação em Power BI e Inteligência Artificial encerraram. E eu sei que essa semana foi intensa. Muitos e-mails. Muita informação. Muita pressão. **Então primeiro: obrigada por ter ficado por aqui até o fim. Isso diz muito sobre você.** Se a janela fechou antes da sua decisão, não precisa se explicar. Timing é real. Vida é real. Nem sempre os dois se alinham na hora certa. Mas se em algum momento dessa semana você olhou para a Formação e pensou "faz sentido pra mim", esse sentimento não some junto com o prazo. **Quando a próxima turma abrir, quero que você seja o primeiro a saber. Antes de todo mundo. Com tempo de sobra para decidir sem pressão.** É só entrar na lista de espera abaixo 👇 Entrar na lista de Espera https://loadeducacao.activehosted.com/f/3 Não há data confirmada ainda. Mas quando chegar, quem estiver na lista chega na frente. Se cuida. E nos vemos em breve. Um abraço, **Letícia Smirelli** PS: Me segue também nas redes. Posto muito conteúdo de valor por lá: Linkedin https://www.linkedin.com/in/leticiasmirelli/, Youtube https://www.youtube.com/@LeticiaSmirelli, Instagram https://www.instagram.com/leticiasmirelli/ https://loadeducacao.com/ **Load Edtech. Todos os direitos reservados.** Load Edtech, Alameda Rio Negro 503, Barueri - São Paulo, 06454-000, Brasil Gerenciar preferências de e-mail https://loadeducacao.activehosted.com/f/49/?t=eyJhbGciOiJIUzI1NiJ9.eyJzdWIiOiI2MDUxNzdlMmJkZjRlYjRiNWQ0ZDViMTU2MTExZDIxZCIsImlhdCI6MTc3NDIzNTg0MCwiaXNzIjoiSGVkd2lnIiwiZXhwIjoxNzc0MzIyMjQwLCJhdWQiOiJQcmVmZXJlbmNlIENlbnRlcnMifQ.aqikSe7xr1fr90ZrKyXf4JnwUrF7KfNnm0XJCgWB-cU Cancelar a sua inscrição http://loadeducacao.activehosted.com/proc.php?c=241&m=201&s=605177e2bdf4eb4b5d4d5b156111d21d&d=17514&v=2&nl=10&act=unsub https://www.linkedin.com/in/leticiasmirelli/ https://www.youtube.com/@LeticiaSmirelli https://www.instagram.com/leticiasmirelli/ https://www.tiktok.com/@leticiasmirelli

Ver Conciliação encaminhada via: Itaú Ver dívida Olá, Leo. Encontramos uma pendência ainda em aberto em seu CPF, após algumas tentativas de renegociação com: Itaú . Conseguimos uma proposta de conciliação. Aproveite os benefícios que conseguimos para renegociar sua dívida ainda hoje e livre seu CPF de pendências. Acessar propostas No que mais você precisar, conte com a gente! Rua Cardeal Arcoverde, 2365, Conj. 81 a 84 Pinheiros, São Paulo- SP, Brasil. CEP 05.407-003 CNPJ: 30.247.128/0001-15 Não realizamos atendimento presencial. Parar de receber emails · Ajuda © 2025 Consumidor Positivo Ltda. – Todos os direitos reservados

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1. Spend a fortune on data (Apollo etc.)
2. Pick a niche
3. Create a “meh” offer
4. Write some emails
5. Add some AI personalisation
6. Ask for a reply
7. Set live
8. Pray
9. Get ignored

1. Use AI to scrape and enrich high-quality data for cheap
2. Lead with an “offer they’d be stupid to say no to”

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A friend sent me this clip, where NVIDIA CEO, Jensen Huang, says: "If that $500,000 engineer [at the end of the year] did not consume at least $250,000 worth of tokens, I'm going to be very alarmed" There is a point there... Another person in the interview makes a comparison with LeBron James spending $1 million a year on his health (and because of that, still playing at 41 years old). So, yeah, there is also a point on spending to be better... Yet... There is also a very self-serving narrative there... Of course NVIDIA's CEO wants you to spend thousands on tokens. He directly benefits from this... Yet... The more subtle message is to change your perception, your beliefs... That it is good for you to spend more on tokens, that it is "very alarming" if you are not doing it... The question is... Is this belief good for you? A mentee of mine sent me a positive message on AI, that he got from a keynote given by a Microsoft MVP. He wrote: "She opened my mind, pointing at the fact that yes AI can do many things we also do now, this can be scary at the beginning but when you realize that the traditional way of working changed, you will become excited." And he continued about the keynote: "You need to see AI as a colleague you can delegate many things and it will do it fast, so now all the ideas you have in your mind can become reality, you have time to implement it. Before AI probably the time needed to handle all your ideas was not enough." I love the positive message, that AI can help you bring your ideas to life. This is indeed powerful. Now, although I have no way to know exactly what this MS MVP said, I still want to point out the self-serving narrative again... The MVP keynote wants you to believe AI is your "colleague"... Many people in our industry are saying similar things... They want you to accept AI as a "friend," a "colleague," "someone part of the team". How many people have you heard recently calling agents as if they were a "team"? They have names and roles. They are "your" team. "Sarah, is my AI marketing manager." "Alex handles my code reviews." "Jessica, she's in charge of documentation." Agents have "personalities"... It's like having imaginary friends... (Well... that are actually doing something...) Look... I have no problem with using AI, or even (if you can afford it) you spending tens or hundreds of thousands on tokens and NVIDIA boards, and on Mac Minis, and more. Yet... AI is a tool. Not a colleague. Also... Spending money on tokens means nothing if it does not get you real results... A rogue OpenClaw can easily spend large amounts of money on tokens, and create more trouble than results... Yet... When Microsoft wants you to see Copilot as your colleague, or NVIDIA wants you to be "very alarmed" if you are not spending gazillions on AI... First, it is not true. And, most importantly, it is NOT for your benefit! You gain nothing by seeing AI as a friend instead of a tool. This view only benefits them. Look at the LeBron James example. He invests millions on HIS health, so he can still be playing at 41 years old. Real results for him... For his team... For everyone around. Even for us that still see him play! I like that view. When you do things that bring real results to you. And to others around you. That is why, when I come to a Java Users Group near you, I'm there for YOU, and for YOUR results. I'm not interested in talking about what I want to talk. I'm there to help you achieve what YOU want for YOUR career. I'm not here to convince you that AI is your colleague, or that all will be good with AI, or even that AI will not replace you... I'm here to help you be the best NBA player you want to become. Just in software... Not really an NBA player... I can't help with that... Will I see you in the JUG meeting? In person or online? Today I'm in Seattle, starting the second half of the US tour... March 4-6 - Devnexus - https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopQpSYt2cw4aY6e84g-2BUt0hw-3DNU-e_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnUQH2gcZmMKt4FMeRZsZ-2FQlCItc65NFNpbXpk57WTAvGbSWqhTcqN7-2B1VjdedB9iupchGef9AGwhELYHPEhW75cfya3ytK3psuc-2FLAoEv16JqhEjcE-2FmG0EBceBlMfJQso-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopQpSYt2cw4aY6e84g-2BUt0hw-3DLXLB_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnVHiNmZ28t7uueSWvDJDnm1nctE4Ar-2FmpcKiahTb5OxMkTprVQMnUSobNB89YlV-2FPIGPOtKN7ursgUSw0YhaK8jq0cZs1ktKRNM80gLtETFrWcU0OHdW7tI-2FtX40i67fHQ-3D] March 9 - Garden State JUG - https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopbHnXyi8gR-2BtYsU1lvD-2F6VqpS8eHHwRybHKS6fkP6NsETG06_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnV1hG6RkdzmVHxExwWkyA61eVPmZOvmrRCqGsp2XvPcpv-2FCkMX2IUQh44ugW4VQsbHiVLOhiQT6zBS8npjTtodlmcMnZXiPswXz-2F2tPGuNB-2BbaM-2BincPegh2XAfDHuKSS4-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopbHnXyi8gR-2BtYsU1lvD-2F6VqpS8eHHwRybHKS6fkP6NsEToYF_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnV-2B58XwEnh7lhIC-2Bi9l-2BU6W7XDKl55xbEFo4-2BRtTzYnTByDtGgpJ2FadTsthoUugffN-2FxPIH4drasXGf7q9WGnbhMeSzmbzOwFSfiL6pO9OtQKd0w7B6-2FM5k2GCpQshxsE-3D] March 11 - Philly JUG -https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopfXLc8hiIVdwVwajcCjbZ3KF4yqVFEeL5Jyb49kiCOHGGCn5_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnULcKCi9WEkgg9mY31lBwtcPxVBVP73tprTXb0mpM7-2B-2BDt5Pl1lYJGAKlh0bdOS4E8RxF98MdFL1jS5meDrC-2BzRKfwvzG-2FyTNwZzyvePCX04V4tFoMEXsjOfRjVw-2BT4rOA-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopfXLc8hiIVdwVwajcCjbZ3KF4yqVFEeL5Jyb49kiCOHGVOO2_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnXh1w8WxEHZTOsZziLt3Gca3GE-2FN5eTjMGkoP7raUc-2BSzPQHt-2F7LpEa0gOfH-2F6kLeOw78rHWSSN4I-2FgLyZDE6yJvmUeJ3mG1PWhAFG6WRjsTtTkrgDQRsGkkC2yBCNSl54-3D] March 12 - Chicago JUG -https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopXC-2B3CP68VVkbubG-2B-2FTmMBuu0UXJmTIxqe00j72FciFdt74D_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnU4vq4Q6SLPm8RvFlXZiA7AoIuJWouRwtziZrpsLckJKu-2B3XOv8tinUuoDfXd8iHhF75-2Fq1RzF0rj-2B7yPBa9eWeZbOPTA7cVj58SY7-2BpSCaVPmB303ObueezeLeghCWxMc-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopXC-2B3CP68VVkbubG-2B-2FTmMBuu0UXJmTIxqe00j72FciFdKX2q_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnUlW56ojtlmTq7K73AOELryexZW0v1F1h2i4PsZEDGBiue67L6pfQvH2LKa3gD-2FHh1yUaLAzAQmKTymCArRs6bgjx7L2dBDOaleZyYSNJx9eM8ys6-2Bk3xHwkla7LzpVg2k-3D] March 15 - San Francisco JUG -https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopZ1Z-2BV2ZNpWNPpqLGMnpiZLRlM9D6UiU7VN3n6ISEhD-2BZ-cQ_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnWy0FE9-2F13aH7EJ1Ke45Jc9Z7EUDz7tV4TFBTyaFkUCNmBlIvJfhTuQNSpP-2FyVBa5WoLcMSseCXLrChgttX2yjXfknXAGcAmAIRJkXnd3XJlvsR0siZjp5RQIFsI0pwqpc-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopZ1Z-2BV2ZNpWNPpqLGMnpiZLRlM9D6UiU7VN3n6ISEhD-2B3zv9_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnWPHCTMLPHopvcnnyik-2Fv5f47f8jQ-2BmMaFMVgcrXxGkL-2FRt60p-2FcEBpCiAZez3mxj1mxl6iuTWEpl65mZgxxN8mMJ2biM2EM2XotaGVt-2BB89CBcMfSVCKt0gJ5ZxTxhUs8-3D] March 16-19 - JavaOne -https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopdHdoB0zDHyqZqRpOMl11C1O2OCFfNg-2BaAruVwKQ90gPHw8V_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnWiChV1F-2Bgf7LTWDFu8HYspT439eyAhB11pKlQf6lsaIsbyjoFp6QlvaetySlVTzGaFSa48A2oQF8x-2FXSnh-2BmgvNti8mkBUjcpF8yhCE8Wz62zEhGIMQPfNF58aXHXGPqI-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopdHdoB0zDHyqZqRpOMl11C1O2OCFfNg-2BaAruVwKQ90gPfRBx_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnVBuseVMvX3X-2BcbpXhUKzMG2BW69jVlAzA4xvYAKtcbfNCijrArT5sRttF7DTe2Dht-2FlpI4x5EZvWLOXDBlT5JlMEU4EiVPfOK7JGE-2Bwu8qUDGKyzV4R7kbumGs9FGu6RA-3D] March 20 - JCP Face to Face Meeting March 23 - Seattle JUG -https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopVkwlISRJWTjC6zUAsCpyxAw65QvS-2F2-2BYuANxhBcrwPJIrc1_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnUoKR5OPDNfHjoIVAqyVr1XSHhBvb2aC7SztJ27B0F4dc8lJAjHkKeJutuiOP-2BwX8eolZCWZ8-2BW-2BIcPX0ycuIUeSuRqMKmytxCVqsTzFQ8T3mKaM1oSN2AaTiPGi2Xiw8Q-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopVkwlISRJWTjC6zUAsCpyxAw65QvS-2F2-2BYuANxhBcrwPJUbcz_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnWx5HDj1RqlpAZzOA3aViWsWFqp4YlVkjIC12AMvXE-2BagBBbU7HcyBMTXDKnIs1N5UIliE6WVcRlxcayxi3SpjU-2BWNdPN3QDUE8k00KJZdGQIHL6ZDSYAHJWtiz1sSwMSM-3D] March 25 - Houston JUG - https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopdAuFNptX1oG6FJ5Fv87vCd60Rv159KTVVHCBH8aPcyPlCCG_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnUgMsS5Oy2tG1FGYMxmYWbeVzA-2FtTkYvB1wMWGJUx7iX9Gx9JvyE9DplVfv3ehPYsfMpJDPImug-2BqNZC460NbRj0oukltqp0vIN1mCMcAjj6efXqLUW8SSw-2F9KLOPDWdVw-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopdAuFNptX1oG6FJ5Fv87vCd60Rv159KTVVHCBH8aPcyP339S_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnWvONrI-2BPMAN7MKxwRHAFxuXgUOHu1htZ7kCWzaYTRcRDr7PY22q52XOYcRVBcl1D3Ar8gdREGuLpphFP9lpgya1t5sN-2BBaWeovvJYUaWJS0QmRImsK6a-2F-2Fmeaa2HisukU-3D] March 30 - JaxJUG - https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopZp3bT5RRtuy29dWvjHYMn2dipqPDPeVUaHNWE9OXfic53Fr_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnWdJQpUQTywHvuufvqgaYUKNV7176SMrlEf8-2F-2BSaPLlsRwnerkIzWrQZQvJIdfxi-2BSbfdPduqkNDVqZf9vb4KkIH-2Bo-2FHG-2FBTCVJQtZ9EK2OR5K0GNX5rOdAUiJcvQPOtHs-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopZp3bT5RRtuy29dWvjHYMn2dipqPDPeVUaHNWE9OXficf2kP_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnUqEyHAIRaCX7V3bCbx3xoYTDrPEPXu91B8-2F6xtcl0OKLO9eGfupKbbGccVH3X8Yo3YwKZC0NVcMZM8E44Ou7FTA97W1b9NaokoqZlLYvREuR7pXaRq1q-2BvUCqGFeNcoG0-3D] March 31 - Orlando JUG -https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopXxmiUR3-2Fww6-2BgwWBS9-2FIfBu0jbx4PkOwhYuEX7cqJSABQfn_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnVclPW0FKISb1-2BARBQmL4S-2FHy7Ufl5QcGAGtHrfumIOPlyWW7MbW-2BcAmh-2Fvtxsw4YdscyVIIHRZU-2FJ08L2nBJh-2FNYgVT25Z0MvCj3EL1TukMEHMT9HLT8YkWtgsEornSug-3D [https://maillinkforward.encharge.io/ls/click?upn=u001.drnuY08Zuk69KrOpO3PopXxmiUR3-2Fww6-2BgwWBS9-2FIfBu0jbx4PkOwhYuEX7cqJSAe_Q7_Jqwciw4qn7Cqj5oIwr4WwER26xEUoot-2BgCHznEM4AkAr9DGpp982v6GiIozLUnFdZXw8PdfJ3D8x4TYfFFYiu-2BP8VVokZxePPv-2BOiCpcjilpBpSxZUqHzR8tF-2FeGmWnkTRe1nkLxIPmQaxL3lMnuZEhTQwABNsBroPOe7mcLjQWk3Wcfp3XeElSnMjp5yFVjYKpzJqYlBbTuVFdIWNof-2B2c-2BYMFctB2xkSNCCDSVdEt31fH-2Bj2yHd5g4t4oX3-2BIlcgP8pqcy6Ujtb42udZHY85K8XJx-2Bsji428aLpvo7bFn-2BJiBGtweKyHRviaAULCtAVZkj-2BPfLWIa1KIjG4ohSdB3MAI49rnsk7sAwEXSm4DACHbkEquMtSQHDVCr2zL33vu1HN-2BDZRLP6PIpkyx0piJ8ThApRrVD6oERIRTw7UvWKnIjI0Dg7kFOv-2FL-2Fgyls0tFS4qOXzXmE9fbBfcSkQe5bO-2B-2FcSRI883oCCC-2BU2j1YdQ221iabXvTBtGXED-2FKFfDvvIfrpz-2Bav9so327dUIusTE9TTNgZwaABX8wtXWg5S1JGm4aP-2F0F8EfwGYjcKz8B-2BaMoSRFOcx6lSVcC8NlhvCgNez1oBTNgqqKaWm4QnUp-2F5R9ki6ydut4mmtZdX7hwXWL8BkMLmI4hQyf298uKWwd6-2FSYBbRp8DRNjw6tRHZrmoX-2FsmUPPVMpRBLAdk4CmLht0RNJSt4GKR-2BysCRNXnPLgV4YiuRrm3rIRNuH9Ko-3D] Cheers! Bruno. The "NBA Coach, but not for the NBA" Man Code4.Life Parque Rincão, Cotia, SP, Brazil

Olá! Se existe um conceito que separa “tentativa” de “ativo real”, é este: Renda online é um sistema. O funil mínimo é sempre: - Tráfego (alguém te encontra) - Captura (lista própria) - Relacionamento (confiança) - Oferta (monetização ética) Sem lista, você está alugando audiência. E audiência alugada nunca é ativo. Se quiser revisar o mapa completo novamente, acesse aqui: Baixar o Mapa em PDF Nos próximos e-mails, vou detalhar o modelo mais simples para um perfil técnico começar. — Guia da Renda Online --------------------------------------------------------------- Acompanhe o projeto: Instagram • Facebook Descadastrar

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Olá! A maioria das pessoas começa errado: procurando atalhos. Renda online com IA não é “ganhar dinheiro com prompt”. IA só acelera um modelo que já faz sentido. O erro nº1 é tentar monetizar antes de construir um ativo. O custo disso não é dinheiro — é tempo desperdiçado. - audiência - lista - competência aplicada Pergunta simples: qual caminho do mapa faz mais sentido pra você hoje? 1 (serviço) 2 (conteúdo) 3 (produto) (Você também pode simplesmente responder este e-mail com o número.) — Guia da Renda Online --------------------------------------------------------------- Acompanhe o projeto: Instagram • Facebook Descadastrar

Hi emaildoleost@gmail.com, Yik Chan - YNC Academy made a change to “Tools of the day - by Yik Chan” list. You can view their changes here: https://www.TwosApp.com/67da70c8abf98b769b54e4c6 Happy Twosday, Twos Guys (Parker + Joe)

#16 Database Modifications # SQL crash course 🔢 # #16 Database Modifications ### SQL Crash Course #16 Josep Ferrer and Cornellius Yudha Wijaya May 02, 2025 ∙ Paid 10 2 Share _All the course material is stored in the **SQL Crash Course repository**._ Hi everyone! **Josep** and Cornellius Yudha Wijaya from Non-Brand Data here 👋🏻 As promised, today we are publishing the two issues of our SQL Crash Course – From Zero to Hero! 🚀 I am su

#18 Generating Modular Code # SQL crash course 🔢 # #18 Generating Modular Code ### SQL Crash Course #18 Josep Ferrer and Cornellius Yudha Wijaya May 09, 2025 ∙ Paid 8 1 Share _All the course material is stored in the **SQL Crash Course repository**._ Hi everyone! **Josep** and Cornellius Yudha Wijaya from Non-Brand Data here 👋🏻 As promised, today we are publishing the two issues of our SQL Crash Course – From Zero to Hero! 🚀 I am sur

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7 Patterns for Smarter Multi-Agent Systems ### How multiple AI agents can work together as a team. Rohit Kumar Tiwari Nov 16, 2025 In A Visual Guide to AI Agent we saw how AI agents work, key agentic patterns, benefits and challenges they bring. Today, we will look at 7 key patterns for building multi agent systems. These patterns define how agents collaborate, share results, and manage their work. Choosing the right pattern can improve coordination, efficiency, and scalability. In simple terms, multi agent systems are teams of AI agents working together on a common goal. ## Why do we need Multi-Agent Systems? Think of a football team. No single player can do everything. You have: * Goalkeeper * Defenders * Midfielders * Forwards Each player has one main skill. They communicate and work together to win. If everyone tried to play every role at once, the team would break down. Multi Agent Systems work the same way. When a task is too big or too complex for one agent, we split the work among multiple agents. Each agent focuses on one type of job. One might search for information. Another might make decisions. Another might act on those decisions. By working together they can handle tasks that are difficult for a single agent alone. So multi agent systems are simply teams of AI agents working together, just like players on a football field. ## Key Patterns ### 1. Parallel Pattern * **How it works:** Several agents work at the same time on different parts of the same task, then combine results. * **When to use:** For large or complex problems that can be split into smaller independent parts. * **Example:** Multiple agents analyze different data sets or sections of a report, then merge their outputs into one final result. ### 2. Sequential Pattern * **How it works:** One agent completes its part and passes the result to the , like a chain of steps. * **When to use:** For problems that need a clear order or a fixed sequence. * **Example:** One agent drafts content, another edits, and a third reviews. ### 3. Loop Pattern * **How it works:** Agents keep reviewing and refining their work based on feedback until the output meets a goal. * **When to use:** For tasks that need multiple rounds of revision or learning. * **Example:** An agent generates an answer, critiques it, adjusts, and repeats the cycle until it’s confident in the final version. ### 4. Router Pattern * **How it works:** A central agent (or router) decides which specialized agent should handle a given input. * **When to use:** When tasks vary by type or complexity. * **Example:** A router sends coding questions to a programming agent and writing questions to a language agent. ### 5. Aggregator Pattern * **How it works:** Multiple agents work independently and a main agent combines their outputs into one final answer. * **When to use:** When different viewpoints or skills need to be merged. * **Example:** Agents provide alternative summaries or analyses, and an aggregator selects the best parts. ### 6. Network Pattern * **How it works:** Agents communicate freely with each other, sharing data and ideas. * **When to use:** For open ended or research driven systems that benefit from knowledge exchange. * **Example:** Agents discuss hypotheses, share discoveries, and adjust their reasoning together. ### 7. Hierarchical Pattern * **How it works:** Higher level agents manage and coordinate lower level ones, similar to a manager directing a team. * **When to use:** For large, multi-layered systems or projects that need strong oversight. * **Example:** A manager agent plans strategy, lower lever agents handle sub-tasks execution. --- ## ***Missed a recent post?*** **Catch up here 👇** 1. The Art and Science Behind Context Engineering 2. Small Language Models are the Future of Agentic AI 3. A Guide to Becoming a 10x Vibe Coder 4. [Build your own Deep Researcher Agent](https://awesomeneuron.substack.com/p/multi-agent- -generator) 5. A Visual Guide to Agentic RAG --- *Liked this article?* Make sure to 💜 click the like button. *Know someone that would find this helpful?* Make sure to 🔁 . ## **Get in touch** You can find me on LinkedIn | GitHub | YouTube | X | Topmate --- Thanks for reading [AwesomeNeuron](https://awesomeneuron.s

[AI Search](/) AI Search AI tutor agents, omnimodal video models, LTX-2 updates, long-term memory, video faceswap: AI NEWS 0:00 Current time: 0:00 / Total time: -35:40 -35:40 ## AI tutor agents, omnimodal video models, LTX-2 updates, long-term memory, video faceswap: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Jan 13, 2026 HUGE AI NEWS: LTX-2, UniVideo, SimpleMem, HY-MT, NeoVerse & more #ai #ainews #aitools #aivideo Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes [Realtime AI video, -level AI agents, realtime TTS, new open music generator, new video animator: AI NEWS](https://aisearch.substack.com/p/realtime-ai-video- -level-ai-agents) • AI Search DeepSeek breakthrough, realtime upscaler, realtime 3D worlds, new top 3D generator, Qwen Image 2512: AI NEWS • AI Search New open Nano Banana, AI plays any video game, new top open source models, long AI videos: AI NEWS • AI Search Insane 3D models, realtime AI video, new #1 open model, realtime AI worlds, Gemini 3 Flash: AI NEWS • AI Search [GPT 5.

[Agentic AI](/)“Gradient Highway”: How Attention Residuals Fix the Hidden Crisis of Deep LLMs ### Some key takeaways from recent paper from open source model Kimi’s research Sometimes, most advanced research does not need a PhD; the X post about Kimi’s new AI architecture, allegedly created by a 17‑year‑old and praised by Elon Musk, is a vivid example of how exceptional talent, open research, and plentiful compute can let independent young researchers push state‑of‑the‑art AI infrastructure forward without formal credentials, delivering “drop‑in” architectures with meaningful compute gains at minimal extra latency and proving that breakthrough ideas increasingly come from those who move fastest, not those with the longest academic résumés, and our AI researchers at DistributedApps.ai have analyzed the underlying work and summarized the key takeaways— to our paid tier to know more. Introduction: The Amnesia of Depth For years, the “gradient highway” has been the structural backbone of deep learning. Standard residual connections serve as a fast lane, allowing information to bypass complex transformations via identity mappings. But this high-speed travel carries a hidden cost. Imagine a highway where every town passed adds new cargo to a truck. By the time the vehicle has traveled thousands of miles—or passed through hundreds of neural layers—the original items from the start of the trip are buried under a mountain of new weight. In modern Large Language Models (LLMs) using PreNorm architectures, this manifests as a form of architectural “amnesia” or dilution. Because standard residuals aggregate information using fixed unit weights, each individual layer’s contribution is progressively washed out as the model grows deeper. Attention Residuals (AttnRes), an innovation recently detailed by the Kimi team at Moonshot AI, introduces a “selective memory” upgrade. By moving away from blind accumulation, AttnRes allows each layer to perform content-aware retrieval across the model’s entire history. The PreNorm Paradox: Why More Layers Don’t Always Mean Better Features While depth is intended to build increasingly sophisticated features, modern PreNorm architectures suffer from a technical limitation: hidden-state magnitudes grow as O(L) with depth. As these magnitudes expand, the relative influence of any single new layer—and its ability to impact the final output—shrinks. Early-layer information is effectively “buried,” and the model loses the capacity to retrieve specific representations from its own past. Standard residuals trap the model in a “fixed unit weight” strategy where every layer is treated with equal importance, regardless of its utility. As the research team observes: “Residuals also play a second role that has received less attention... residuals define how information aggregates across depth. Unlike sequence mixing and expert routing, which now employ learnable input-dependent weighting, this depth-wise aggregation remains governed by fixed unit weights.” Takeaway #1: Replacing Addition with Selection (Softmax over Depth) The central intellectual pivot of AttnRes is the Duality of Time and Depth. Just as the Transformer revolution replaced the sequential recurrence of RNNs with attention across time (the sequence), AttnRes replaces the additive recurrence of residuals with attention across depth. ## Continue reading this post for free, courtesy of Ken Huang.

[Agentic AI](/)“Gradient Highway”: How Attention Residuals Fix the Hidden Crisis of Deep LLMs ### Some key takeaways from recent paper from open source model Kimi’s research Sometimes, most advanced research does not need a PhD; the X post about Kimi’s new AI architecture, allegedly created by a 17‑year‑old and praised by Elon Musk, is a vivid example of how exceptional talent, open research, and plentiful compute can let independent young researchers push state‑of‑the‑art AI infrastructure forward without formal credentials, delivering “drop‑in” architectures with meaningful compute gains at minimal extra latency and proving that breakthrough ideas increasingly come from those who move fastest, not those with the longest academic résumés, and our AI researchers at DistributedApps.ai have analyzed the underlying work and summarized the key takeaways— to our paid tier to know more. Introduction: The Amnesia of Depth For years, the “gradient highway” has been the structural backbone of deep learning. Standard residual connections serve as a fast lane, allowing information to bypass complex transformations via identity mappings. But this high-speed travel carries a hidden cost. Imagine a highway where every town passed adds new cargo to a truck. By the time the vehicle has traveled thousands of miles—or passed through hundreds of neural layers—the original items from the start of the trip are buried under a mountain of new weight. In modern Large Language Models (LLMs) using PreNorm architectures, this manifests as a form of architectural “amnesia” or dilution. Because standard residuals aggregate information using fixed unit weights, each individual layer’s contribution is progressively washed out as the model grows deeper. Attention Residuals (AttnRes), an innovation recently detailed by the Kimi team at Moonshot AI, introduces a “selective memory” upgrade. By moving away from blind accumulation, AttnRes allows each layer to perform content-aware retrieval across the model’s entire history. The PreNorm Paradox: Why More Layers Don’t Always Mean Better Features While depth is intended to build increasingly sophisticated features, modern PreNorm architectures suffer from a technical limitation: hidden-state magnitudes grow as O(L) with depth. As these magnitudes expand, the relative influence of any single new layer—and its ability to impact the final output—shrinks. Early-layer information is effectively “buried,” and the model loses the capacity to retrieve specific representations from its own past. Standard residuals trap the model in a “fixed unit weight” strategy where every layer is treated with equal importance, regardless of its utility. As the research team observes: “Residuals also play a second role that has received less attention... residuals define how information aggregates across depth. Unlike sequence mixing and expert routing, which now employ learnable input-dependent weighting, this depth-wise aggregation remains governed by fixed unit weights.” Takeaway #1: Replacing Addition with Selection (Softmax over Depth) The central intellectual pivot of AttnRes is the Duality of Time and Depth. Just as the Transformer revolution replaced the sequential recurrence of RNNs with attention across time (the sequence), AttnRes replaces the additive recurrence of residuals with attention across depth. ## Continue reading this post for free, courtesy of Ken Huang.

Beyond the “Gradient Highway”: How Attention Residuals Fix the Hidden Crisis of Deep LLMs # Agentic AI“Gradient Highway”: How Attention Residuals Fix the Hidden Crisis of Deep LLMs ### Some key takeaways from recent paper from open source model Kimi’s research Ken Huang Mar 18, 2026 ∙ Paid 13 Share Sometimes, most advanced research does not need a PhD; the X post about Kimi’s new AI architecture, allegedly created by a 17‑year‑old and praised by Elon Musk, is a vivid example of how exceptional talent, open research, and plentiful compute can let independent young researchers push state‑of‑the‑art AI infrastructure forward without formal credentials, delivering “drop‑in” architectures with meaningful compute gains at minimal extra latency and proving that breakthrough ideas increasingly come from those who move fastest, not those with the longest academic résumés, and our AI researchers at DistributedApps.ai have analyzed the underlying work and summarized the key takeaways— to our paid tier to know more. 1. Introduction: The Amnesia of Depth For years, the “gradient highway” has been the structural backbone of deep learning. Standard residual connections serve as a fast lane, allowing information to bypass complex transformations via identity mappings. But this high-speed travel carries a hidden cost. Imagine a highway where every town passed adds new cargo to a truck. By the time the vehicle has traveled thousands of miles—or passed through hundreds of neural layers—the original items from the start of the trip are buried under a mountain of new weight. In modern Large Language Models (LLMs) using PreNorm architectures, this manifests as a form of architectural “amnesia” or dilution. Because standard residuals aggregate information using fixed unit weights, each individual layer’s contribution is progressively washed out as the model grows deeper. Attention Residuals (AttnRes), an innovation recently detailed by the Kimi team at Moonshot AI, introduces a “selective memory” upgrade. By moving away from blind accumulation, AttnRes allows each layer to perform content-aware retrieval across the model’s entire history. 1. The PreNorm Paradox: Why More Layers Don’t Always Mean Better Features While depth is intended to build increasingly sophisticated features, modern PreNorm architectures suffer from a technical limitation: hidden-state magnitudes grow as O(L) with depth. As these magnitudes expand, the relative influence of any single new layer—and its ability to impact the final output—shrinks. Early-layer information is effectively “buried,” and the model loses the capacity to retrieve specific representations from its own past. Standard residuals trap the model in a “fixed unit weight” strategy where every layer is treated with equal importance, regardless of its utility. As the research team observes: “Residuals also play a second role that has received less attention... residuals define how information aggregates across depth. Unlike sequence mixing and expert routing, which now employ learnable input-dependent weighting, this depth-wise aggregation remains governed by fixed unit weights.” 1. Takeaway #1: Replacing Addition with Selection (Softmax over Depth) The central intellectual pivot of AttnRes is the Duality of Time and Depth. Just as the Transformer revolution replaced the sequential recurrence of RNNs with attention across time (the sequence), AttnRes replaces the additive recurrence of residuals with attention across depth. ## Continue reading this post for free, courtesy of Ken Huang. Claim my free post [Or purchase a paid subscription.](https://kenhuangus.substack.com/ ?simple=true& =https%3A%2F%2Fkenhuangus.substack.com%2Fp%2Fbeyond-the-gradient-highway-how-attention&utm_source=paywall&utm_medium=web&utm_content=191286591&just_signed_

[Agentic AI](/)“Gradient Highway”: How Attention Residuals Fix the Hidden Crisis of Deep LLMs ### Some key takeaways from recent paper from open source model Kimi’s research Sometimes, most advanced research does not need a PhD; the X post about Kimi’s new AI architecture, allegedly created by a 17‑year‑old and praised by Elon Musk, is a vivid example of how exceptional talent, open research, and plentiful compute can let independent young researchers push state‑of‑the‑art AI infrastructure forward without formal credentials, delivering “drop‑in” architectures with meaningful compute gains at minimal extra latency and proving that breakthrough ideas increasingly come from those who move fastest, not those with the longest academic résumés, and our AI researchers at DistributedApps.ai have analyzed the underlying work and summarized the key takeaways— to our paid tier to know more. Introduction: The Amnesia of Depth For years, the “gradient highway” has been the structural backbone of deep learning. Standard residual connections serve as a fast lane, allowing information to bypass complex transformations via identity mappings. But this high-speed travel carries a hidden cost. Imagine a highway where every town passed adds new cargo to a truck. By the time the vehicle has traveled thousands of miles—or passed through hundreds of neural layers—the original items from the start of the trip are buried under a mountain of new weight. In modern Large Language Models (LLMs) using PreNorm architectures, this manifests as a form of architectural “amnesia” or dilution. Because standard residuals aggregate information using fixed unit weights, each individual layer’s contribution is progressively washed out as the model grows deeper. Attention Residuals (AttnRes), an innovation recently detailed by the Kimi team at Moonshot AI, introduces a “selective memory” upgrade. By moving away from blind accumulation, AttnRes allows each layer to perform content-aware retrieval across the model’s entire history. The PreNorm Paradox: Why More Layers Don’t Always Mean Better Features While depth is intended to build increasingly sophisticated features, modern PreNorm architectures suffer from a technical limitation: hidden-state magnitudes grow as O(L) with depth. As these magnitudes expand, the relative influence of any single new layer—and its ability to impact the final output—shrinks. Early-layer information is effectively “buried,” and the model loses the capacity to retrieve specific representations from its own past. Standard residuals trap the model in a “fixed unit weight” strategy where every layer is treated with equal importance, regardless of its utility. As the research team observes: “Residuals also play a second role that has received less attention... residuals define how information aggregates across depth. Unlike sequence mixing and expert routing, which now employ learnable input-dependent weighting, this depth-wise aggregation remains governed by fixed unit weights.” Takeaway #1: Replacing Addition with Selection (Softmax over Depth) The central intellectual pivot of AttnRes is the Duality of Time and Depth. Just as the Transformer revolution replaced the sequential recurrence of RNNs with attention across time (the sequence), AttnRes replaces the additive recurrence of residuals with attention across depth. ## Continue reading this post for free, courtesy of Ken Huang.

[AI by Hand ✍️](/)### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 15, 2026 ∙ Paid Binary cross entropy (BCE) loss measures how well a model’s predicted probability ŷ aligns with a target probability value y. Most often, the model outputs a probability, and the BCE loss quantifies the discrepancy between that prediction and the target. When the predicted probability closely matches the target value, the loss is small. When it deviates significantly, the loss becomes large. ## Calculation Let’s unpack the formula. We begin with the model’s predicted probability, ŷ . We take the logarithm of ŷ , then multiply it by the target value y. This measures how well the model supports the positive outcome. Because this is a binary setting, the other outcome is implied. If the model predicts ŷ for the positive outcome, then the probability of the negative outcome is (1 - ŷ). We take the logarithm of (1 - ŷ), and multiply it by (1 - ŷ). This measures how well the model supports the negative outcome. , we add these two weighted log terms together. Finally, we take the negative of that sum. The result is the binary cross entropy loss. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [Already a paid subscriber?

[AI by Hand ✍️](/)### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 15, 2026 ∙ Paid Binary cross entropy (BCE) loss measures how well a model’s predicted probability ŷ aligns with a target probability value y. Most often, the model outputs a probability, and the BCE loss quantifies the discrepancy between that prediction and the target. When the predicted probability closely matches the target value, the loss is small. When it deviates significantly, the loss becomes large. ## Calculation Let’s unpack the formula. We begin with the model’s predicted probability, ŷ . We take the logarithm of ŷ , then multiply it by the target value y. This measures how well the model supports the positive outcome. Because this is a binary setting, the other outcome is implied. If the model predicts ŷ for the positive outcome, then the probability of the negative outcome is (1 - ŷ). We take the logarithm of (1 - ŷ), and multiply it by (1 - ŷ). This measures how well the model supports the negative outcome. , we add these two weighted log terms together. Finally, we take the negative of that sum. The result is the binary cross entropy loss. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [Already a paid subscriber?

[AI by Hand ✍️](/)### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 15, 2026 ∙ Paid Binary cross entropy (BCE) loss measures how well a model’s predicted probability ŷ aligns with a target probability value y. Most often, the model outputs a probability, and the BCE loss quantifies the discrepancy between that prediction and the target. When the predicted probability closely matches the target value, the loss is small. When it deviates significantly, the loss becomes large. ## Calculation Let’s unpack the formula. We begin with the model’s predicted probability, ŷ . We take the logarithm of ŷ , then multiply it by the target value y. This measures how well the model supports the positive outcome. Because this is a binary setting, the other outcome is implied. If the model predicts ŷ for the positive outcome, then the probability of the negative outcome is (1 - ŷ). We take the logarithm of (1 - ŷ), and multiply it by (1 - ŷ). This measures how well the model supports the negative outcome. , we add these two weighted log terms together. Finally, we take the negative of that sum. The result is the binary cross entropy loss. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [Already a paid subscriber?

Binary Cross Entropy Loss - by Prof. Tom Yeh # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 15, 2026 ∙ Paid Share Binary cross entropy (BCE) loss measures how well a model’s predicted probability ŷ aligns with a target probability value y. Most often, the model outputs a probability, and the BCE loss quantifies the discrepancy between that prediction and the target. When the predicted probability closely matches the target value, the loss is small. When it deviates significantly, the loss becomes large. ## Calculation Let’s unpack the formula. We begin with the model’s predicted probability, ŷ . We take the logarithm of ŷ , then multiply it by the target value y. This measures how well the model supports the positive outcome. Because this is a binary setting, the other outcome is implied. If the model predicts ŷ for the positive outcome, then the probability of the negative outcome is (1 - ŷ). We take the logarithm of (1 - ŷ), and multiply it by (1 - ŷ). This measures how well the model supports the negative outcome. , we add these two weighted log terms together. Finally, we take the negative of that sum. The result is the binary cross entropy loss. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fbinary-cross-entropy-loss&utm_source=paywall&utm_medium=web&utm_content=188041432) [A

Direct relationships are the way out of this TikTok mess

Direct relationships are the way out of this TikTok mess

ELU (Exponential Linear Unit) - by Prof. Tom Yeh # AI by Hand ✍️(Exponential Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 18, 2026 ∙ Paid Share ELU (Exponential Linear Unit) introduces a smooth exponential curve in the negative region to create a gradual transition at zero. Instead of an abrupt change in slope, the function bends smoothly into negative values, producing continuous derivatives and more stable gradient flow. This smoother behavior can improve convergence and lead to more stable learning dynamics in deep neural networks. ELU is designed to address a limitation of LeakyReLU: there is still a sharp kink at x = 0, creating a discontinuity in the derivative. ELU solves this by replacing the linear negative slope with a smooth exponential curve. ELU behaves like ReLU in the positive region, passing positive inputs through unchanged. But in ReLU, a neuron can become “dead” in the negative region because the gradient is zero, meaning it receives no signal to update. Like LeakyReLU, ELU keeps the negative region alive by providing small, nonzero gradients. This allows a “dead” neuron to slowly recover, rather than remaining permanently silent. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Felu-exponential-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188382241) [A

ELU (Exponential Linear Unit) - by Prof. Tom Yeh # AI by Hand ✍️(Exponential Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 18, 2026 ∙ Paid Share ELU (Exponential Linear Unit) introduces a smooth exponential curve in the negative region to create a gradual transition at zero. Instead of an abrupt change in slope, the function bends smoothly into negative values, producing continuous derivatives and more stable gradient flow. This smoother behavior can improve convergence and lead to more stable learning dynamics in deep neural networks. ELU is designed to address a limitation of LeakyReLU: there is still a sharp kink at x = 0, creating a discontinuity in the derivative. ELU solves this by replacing the linear negative slope with a smooth exponential curve. ELU behaves like ReLU in the positive region, passing positive inputs through unchanged. But in ReLU, a neuron can become “dead” in the negative region because the gradient is zero, meaning it receives no signal to update. Like LeakyReLU, ELU keeps the negative region alive by providing small, nonzero gradients. This allows a “dead” neuron to slowly recover, rather than remaining permanently silent. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Felu-exponential-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188382241) [A

ELU (Exponential Linear Unit) - by Prof. Tom Yeh # AI by Hand ✍️(Exponential Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 18, 2026 ∙ Paid Share ELU (Exponential Linear Unit) introduces a smooth exponential curve in the negative region to create a gradual transition at zero. Instead of an abrupt change in slope, the function bends smoothly into negative values, producing continuous derivatives and more stable gradient flow. This smoother behavior can improve convergence and lead to more stable learning dynamics in deep neural networks. ELU is designed to address a limitation of LeakyReLU: there is still a sharp kink at x = 0, creating a discontinuity in the derivative. ELU solves this by replacing the linear negative slope with a smooth exponential curve. ELU behaves like ReLU in the positive region, passing positive inputs through unchanged. But in ReLU, a neuron can become “dead” in the negative region because the gradient is zero, meaning it receives no signal to update. Like LeakyReLU, ELU keeps the negative region alive by providing small, nonzero gradients. This allows a “dead” neuron to slowly recover, rather than remaining permanently silent. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Felu-exponential-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188382241) [A

ELU (Exponential Linear Unit) - by Prof. Tom Yeh # AI by Hand ✍️(Exponential Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 18, 2026 ∙ Paid Share ELU (Exponential Linear Unit) introduces a smooth exponential curve in the negative region to create a gradual transition at zero. Instead of an abrupt change in slope, the function bends smoothly into negative values, producing continuous derivatives and more stable gradient flow. This smoother behavior can improve convergence and lead to more stable learning dynamics in deep neural networks. ELU is designed to address a limitation of LeakyReLU: there is still a sharp kink at x = 0, creating a discontinuity in the derivative. ELU solves this by replacing the linear negative slope with a smooth exponential curve. ELU behaves like ReLU in the positive region, passing positive inputs through unchanged. But in ReLU, a neuron can become “dead” in the negative region because the gradient is zero, meaning it receives no signal to update. Like LeakyReLU, ELU keeps the negative region alive by providing small, nonzero gradients. This allows a “dead” neuron to slowly recover, rather than remaining permanently silent. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Felu-exponential-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188382241) [A

Entropy - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Mar 01, 2026 ∙ Paid 3 Share Entropy measures the inherent uncertainty (surprise) of a probability distribution. If one outcome is guaranteed—for example, B occurs with probability 1—there is no uncertainty at all, so entropy is zero. If B is almost certain but not guaranteed, there is still a small amount of uncertainty, so entropy is low. If there are two likely outcomes with comparable probabilities, uncertainty increases and entropy is high. Finally, when all possible outcomes are equally likely, uncertainty is maximized, and entropy reaches its highest value for that set of outcomes. Entropy increases as uncertainty spreads across more possible outcomes. For example, if there are 5 possible outcomes (A–E) and all are equally likely, the entropy is about 1.73. If we expand the space to 9 equally likely outcomes (A–I), there are now more possibilities to distinguish among, so entropy increases to around 2.20. In general, when all outcomes are equally likely—a uniform distribution—entropy reaches its maximum for that fixed number of outcomes. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fentropy&utm_source=paywall&utm_medium=web&utm_content=189563240) [A

Entropy - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Mar 01, 2026 ∙ Paid 3 Share Entropy measures the inherent uncertainty (surprise) of a probability distribution. If one outcome is guaranteed—for example, B occurs with probability 1—there is no uncertainty at all, so entropy is zero. If B is almost certain but not guaranteed, there is still a small amount of uncertainty, so entropy is low. If there are two likely outcomes with comparable probabilities, uncertainty increases and entropy is high. Finally, when all possible outcomes are equally likely, uncertainty is maximized, and entropy reaches its highest value for that set of outcomes. Entropy increases as uncertainty spreads across more possible outcomes. For example, if there are 5 possible outcomes (A–E) and all are equally likely, the entropy is about 1.73. If we expand the space to 9 equally likely outcomes (A–I), there are now more possibilities to distinguish among, so entropy increases to around 2.20. In general, when all outcomes are equally likely—a uniform distribution—entropy reaches its maximum for that fixed number of outcomes. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fentropy&utm_source=paywall&utm_medium=web&utm_content=189563240) [A

Entropy - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Mar 01, 2026 ∙ Paid 3 Share Entropy measures the inherent uncertainty (surprise) of a probability distribution. If one outcome is guaranteed—for example, B occurs with probability 1—there is no uncertainty at all, so entropy is zero. If B is almost certain but not guaranteed, there is still a small amount of uncertainty, so entropy is low. If there are two likely outcomes with comparable probabilities, uncertainty increases and entropy is high. Finally, when all possible outcomes are equally likely, uncertainty is maximized, and entropy reaches its highest value for that set of outcomes. Entropy increases as uncertainty spreads across more possible outcomes. For example, if there are 5 possible outcomes (A–E) and all are equally likely, the entropy is about 1.73. If we expand the space to 9 equally likely outcomes (A–I), there are now more possibilities to distinguish among, so entropy increases to around 2.20. In general, when all outcomes are equally likely—a uniform distribution—entropy reaches its maximum for that fixed number of outcomes. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fentropy&utm_source=paywall&utm_medium=web&utm_content=189563240) [A

Entropy - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Mar 01, 2026 ∙ Paid 3 Share Entropy measures the inherent uncertainty (surprise) of a probability distribution. If one outcome is guaranteed—for example, B occurs with probability 1—there is no uncertainty at all, so entropy is zero. If B is almost certain but not guaranteed, there is still a small amount of uncertainty, so entropy is low. If there are two likely outcomes with comparable probabilities, uncertainty increases and entropy is high. Finally, when all possible outcomes are equally likely, uncertainty is maximized, and entropy reaches its highest value for that set of outcomes. Entropy increases as uncertainty spreads across more possible outcomes. For example, if there are 5 possible outcomes (A–E) and all are equally likely, the entropy is about 1.73. If we expand the space to 9 equally likely outcomes (A–I), there are now more possibilities to distinguish among, so entropy increases to around 2.20. In general, when all outcomes are equally likely—a uniform distribution—entropy reaches its maximum for that fixed number of outcomes. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fentropy&utm_source=paywall&utm_medium=web&utm_content=189563240) [A

Essential AI Math #11 to #15 - by Prof. Tom Yeh # AI by Hand ✍️#11 to #15 Prof. Tom Yeh Feb 18, 2026 ∙ Paid Share Dear AI by Hand Academy Members, Here is another mini-batch of new _Essential AI Math Blueprints_. I’ve taught these ideas many times over the years, scattered across different lectures, but I’m now com… ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fessential-ai-math-11-to-15&utm_source=paywall&utm_medium=web&utm_content=188341176) [Already a paid subscriber? **

Essential AI Math #11 to #15 - by Prof. Tom Yeh # AI by Hand ✍️#11 to #15 Prof. Tom Yeh Feb 18, 2026 ∙ Paid Share Dear AI by Hand Academy Members, Here is another mini-batch of new _Essential AI Math Blueprints_. I’ve taught these ideas many times over the years, scattered across different lectures, but I’m now com… ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fessential-ai-math-11-to-15&utm_source=paywall&utm_medium=web&utm_content=188341176) [Already a paid subscriber? **

Essential AI Math #11 to #15 - by Prof. Tom Yeh # AI by Hand ✍️#11 to #15 Prof. Tom Yeh Feb 18, 2026 ∙ Paid Share Dear AI by Hand Academy Members, Here is another mini-batch of new _Essential AI Math Blueprints_. I’ve taught these ideas many times over the years, scattered across different lectures, but I’m now com… ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fessential-ai-math-11-to-15&utm_source=paywall&utm_medium=web&utm_content=188341176) [Already a paid subscriber? **

Essential AI Math #11 to #15 - by Prof. Tom Yeh # AI by Hand ✍️#11 to #15 Prof. Tom Yeh Feb 18, 2026 ∙ Paid Share Dear AI by Hand Academy Members, Here is another mini-batch of new _Essential AI Math Blueprints_. I’ve taught these ideas many times over the years, scattered across different lectures, but I’m now com… ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fessential-ai-math-11-to-15&utm_source=paywall&utm_medium=web&utm_content=188341176) [Already a paid subscriber? **

Essential AI Math #16 to #20 - by Prof. Tom Yeh # AI by Hand ✍️#16 to #20 Prof. Tom Yeh Feb 23, 2026 ∙ Paid 4 Share Dear Academy Members, I’m glad that I finally reached #20 for the new _Essential AI Math Blueprints_ series 🎉 After reaching this milestone, I’m confident the series is on its way to becoming one of the… ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fessential-ai-math-16-to-20&utm_source=paywa

Essential AI Math #16 to #20 - by Prof. Tom Yeh # AI by Hand ✍️#16 to #20 Prof. Tom Yeh Feb 23, 2026 ∙ Paid 4 Share Dear Academy Members, I’m glad that I finally reached #20 for the new _Essential AI Math Blueprints_ series 🎉 After reaching this milestone, I’m confident the series is on its way to becoming one of the… ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fessential-ai-math-16-to-20&utm_source=paywa

Essential AI Math #16 to #20 - by Prof. Tom Yeh # AI by Hand ✍️#16 to #20 Prof. Tom Yeh Feb 23, 2026 ∙ Paid 4 Share Dear Academy Members, I’m glad that I finally reached #20 for the new _Essential AI Math Blueprints_ series 🎉 After reaching this milestone, I’m confident the series is on its way to becoming one of the… ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fessential-ai-math-16-to-20&utm_source=paywa

Essential AI Math #16 to #20 - by Prof. Tom Yeh # AI by Hand ✍️#16 to #20 Prof. Tom Yeh Feb 23, 2026 ∙ Paid 4 Share Dear Academy Members, I’m glad that I finally reached #20 for the new _Essential AI Math Blueprints_ series 🎉 After reaching this milestone, I’m confident the series is on its way to becoming one of the… ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fessential-ai-math-16-to-20&utm_source=paywa

First Assignment: Vibe Code Your Own Vacation. # [The Production Gap](

Fixed Mindset vs Groth Mindset - by Josep Ferrer # Josep's Notes 🚀### Notes #9 - Why a Growth Mindset Will Take You Further Than Talent Ever Could Josep Ferrer May 13, 2025 ∙ Paid 10 1 1 Share **Hey everyone! 👋🏼** Josep here, back with your weekly bite of career insights and encouragement ✨ Last week, we explored **how**_**soft skills**_**like emotional intelligence are becoming the new superpowers in an automated world.** #### Why Soft Skills Are the New Hard Skills [Josep Ferrer · May 6, 2025 Read full story](https://www.databites.tech/p/why-soft-skills-are-the-new-hard) This week, we go deeper. 🌀 **Beneath every skill—technical or human—lies the mindset that fuels it.** ## This post is for paid subscribers [ ](https://www.databites.tech/ ?s

GELU (Gaussian Error Linear Unit) - by Prof. Tom Yeh # AI by Hand ✍️(Gaussian Error Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 20, 2026 ∙ Paid 1 Share The GELU (Gaussian Error Linear Unit) activation function is fundamentally similar to Swish (SiLU), in that both apply a smooth, input‑dependent gate to the linear signal x, to achieve the effect of suppressing negative values toward zero while allowing positive values to pass through, but in a soft, probabilistic manner. This gentle attenuation of negatives preserves useful gradient information and improves learning, unlike the hard cutoff of ReLU. The core difference between GELU and Swish lies in how their “gates” transition from closed to open. GELU uses the Gaussian error function Φ(x) as its gate, which operates in a narrower band roughly between -3 and 3. In contrast, the Swish gate uses the sigmoid function σ(x), which has a wider band roughly from -6 to 6. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fgelu-gaussian-error-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188610777) [A

GELU (Gaussian Error Linear Unit) - by Prof. Tom Yeh # AI by Hand ✍️(Gaussian Error Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 20, 2026 ∙ Paid 1 Share The GELU (Gaussian Error Linear Unit) activation function is fundamentally similar to Swish (SiLU), in that both apply a smooth, input‑dependent gate to the linear signal x, to achieve the effect of suppressing negative values toward zero while allowing positive values to pass through, but in a soft, probabilistic manner. This gentle attenuation of negatives preserves useful gradient information and improves learning, unlike the hard cutoff of ReLU. The core difference between GELU and Swish lies in how their “gates” transition from closed to open. GELU uses the Gaussian error function Φ(x) as its gate, which operates in a narrower band roughly between -3 and 3. In contrast, the Swish gate uses the sigmoid function σ(x), which has a wider band roughly from -6 to 6. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fgelu-gaussian-error-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188610777) [A

GELU (Gaussian Error Linear Unit) - by Prof. Tom Yeh # AI by Hand ✍️(Gaussian Error Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 20, 2026 ∙ Paid 1 Share The GELU (Gaussian Error Linear Unit) activation function is fundamentally similar to Swish (SiLU), in that both apply a smooth, input‑dependent gate to the linear signal x, to achieve the effect of suppressing negative values toward zero while allowing positive values to pass through, but in a soft, probabilistic manner. This gentle attenuation of negatives preserves useful gradient information and improves learning, unlike the hard cutoff of ReLU. The core difference between GELU and Swish lies in how their “gates” transition from closed to open. GELU uses the Gaussian error function Φ(x) as its gate, which operates in a narrower band roughly between -3 and 3. In contrast, the Swish gate uses the sigmoid function σ(x), which has a wider band roughly from -6 to 6. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fgelu-gaussian-error-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188610777) [A

GELU (Gaussian Error Linear Unit) - by Prof. Tom Yeh # AI by Hand ✍️(Gaussian Error Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 20, 2026 ∙ Paid 1 Share The GELU (Gaussian Error Linear Unit) activation function is fundamentally similar to Swish (SiLU), in that both apply a smooth, input‑dependent gate to the linear signal x, to achieve the effect of suppressing negative values toward zero while allowing positive values to pass through, but in a soft, probabilistic manner. This gentle attenuation of negatives preserves useful gradient information and improves learning, unlike the hard cutoff of ReLU. The core difference between GELU and Swish lies in how their “gates” transition from closed to open. GELU uses the Gaussian error function Φ(x) as its gate, which operates in a narrower band roughly between -3 and 3. In contrast, the Swish gate uses the sigmoid function σ(x), which has a wider band roughly from -6 to 6. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fgelu-gaussian-error-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188610777) [A

GLU (Gated Linear Unit) - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️(Gated Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 21, 2026 ∙ Paid 2 Share Gated Linear Units (GLU) marked a breakthrough in activation design by introducing a truly dynamic gating mechanism — meaning the gate is predicted from the input itself rather than defined by a fixed, predefined function. GLU projects the input through two parallel linear transformations: one produces a feature value, and the other produces a gate logit. The gate logit passes through a sigmoid to produce a value between 0 and 1, which determines how “open” the gate is and how much (percentage) of the feature value is allowed to pass through. Below is the visuliation of the computation of SiLU for comparison. You can notice the key difference. In SiLU the sigmoid gate depends directly on the same projected feature value (z = Wx), meaning the feature and the gate come from the same linear transformation. In contrast, GLU-style gating predicts the gate using a separate linear transformation, so the gate is not tied to the feature itself. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fglu-gated-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188715421) [A

GLU (Gated Linear Unit) - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️(Gated Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 21, 2026 ∙ Paid 2 Share Gated Linear Units (GLU) marked a breakthrough in activation design by introducing a truly dynamic gating mechanism — meaning the gate is predicted from the input itself rather than defined by a fixed, predefined function. GLU projects the input through two parallel linear transformations: one produces a feature value, and the other produces a gate logit. The gate logit passes through a sigmoid to produce a value between 0 and 1, which determines how “open” the gate is and how much (percentage) of the feature value is allowed to pass through. Below is the visuliation of the computation of SiLU for comparison. You can notice the key difference. In SiLU the sigmoid gate depends directly on the same projected feature value (z = Wx), meaning the feature and the gate come from the same linear transformation. In contrast, GLU-style gating predicts the gate using a separate linear transformation, so the gate is not tied to the feature itself. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fglu-gated-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188715421) [A

GLU (Gated Linear Unit) - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️(Gated Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 21, 2026 ∙ Paid 2 Share Gated Linear Units (GLU) marked a breakthrough in activation design by introducing a truly dynamic gating mechanism — meaning the gate is predicted from the input itself rather than defined by a fixed, predefined function. GLU projects the input through two parallel linear transformations: one produces a feature value, and the other produces a gate logit. The gate logit passes through a sigmoid to produce a value between 0 and 1, which determines how “open” the gate is and how much (percentage) of the feature value is allowed to pass through. Below is the visuliation of the computation of SiLU for comparison. You can notice the key difference. In SiLU the sigmoid gate depends directly on the same projected feature value (z = Wx), meaning the feature and the gate come from the same linear transformation. In contrast, GLU-style gating predicts the gate using a separate linear transformation, so the gate is not tied to the feature itself. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fglu-gated-linear-unit&utm_source=paywall&utm_medium=web&utm_content=188715421) [A

[AI by Hand ✍️](/)(Gated Linear Unit) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 21, 2026 ∙ Paid Gated Linear Units (GLU) marked a breakthrough in activation design by introducing a truly dynamic gating mechanism — meaning the gate is predicted from the input itself rather than defined by a fixed, predefined function. GLU projects the input through two parallel linear transformations: one produces a feature value, and the other produces a gate logit. The gate logit passes through a sigmoid to produce a value between 0 and 1, which determines how “open” the gate is and how much (percentage) of the feature value is allowed to pass through. Below is the visuliation of the computation of SiLU for comparison. You can notice the key difference. In SiLU the sigmoid gate depends directly on the same projected feature value (z = Wx), meaning the feature and the gate come from the same linear transformation. In contrast, GLU-style gating predicts the gate using a separate linear transformation, so the gate is not tied to the feature itself. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [Already a paid subscriber?

How to Actually Get Started with Python - by Josep Ferrer # Cheatsheets 🧩### CS15 - A clear (and human) guide to get started without drowning Josep Ferrer Oct 14, 2025 ∙ Paid 15 3 Share **You’ve wanted to learn Python for a while…** _Too many tabs, not enough progress?_ > This guide cuts the noise and gives you a shippable path. **Only the pieces that actually move you forward.**, why now Python is the most versatile “one language, many careers” tool: analytics, ML, web, scripting, automation, LLM apps—you name it. If you learn it now, you co… ## This post is for paid subscribers [ ](https://www.databites.tech/ ?simple=true& =https%3A%2F%2Fwww.databites.tech%2Fp%2Fhow-to-actually-get-started-with-5e7&utm_source=paywall&utm_medium=web&utm_

How to Actually Get Started with SQL - by Josep Ferrer # Cheatsheets 🧩### CS16 - A clear (and human) guide to get started without drowning Josep Ferrer Oct 22, 2025 ∙ Paid 13 2 3 Share Many of you have been asking how to get started in the data world. I know it can seem **complex** and **intimidating**, _but fear often clouds our vision._ That’s why I want to remind you all that SQL is still the number one data language and the easiest one to learn. If you’re looking to break into this field, there’s not better advice than… > START > > > LEARNING > > > SQL > > > RIGHT > > > … ## This post is for paid subscribers [ ](https://www.databites.tech/ ?simple=true& =https%3A%2F%2Fwww.databites.tech%2Fp%2Fhow-to-actually-get-started-with-228&utm_source=paywall&utm_medium=web&utm_

How to Become a Data Scientist - by Josep Ferrer #### A clear (and human) guide to get started without getting lost Josep Ferrer Sep 15, 2025 ∙ Paid 24 2 3 Share If you’re reading this, you probably suspect it already: **data science is a fascinating field… and also overwhelming.** With so many languages, tools, and possible paths, it’s easy not to know where to start. That’s why one of the questions I get most is: > How do you become a data scientist? **This article is my attempt to answer it clearly.** I won’t promise mag… ## This post is for paid subscribers [ ](https://www.databites.tech/ ?simple=true& =https%3A%2F%2Fwww.databites.tech%2Fp%2Fhow-to-become-a-data-scientist&utm_source=paywall&utm_medium=web&utm_content=173659648) [Already a paid subscriber? ** **](https://substack.com/sign-i

How Western Religion Drove Its Architectural Evolution # Uncharted TerritoriesTomas Pueyo Mar 19, 2026 ∙ Paid 24 12 2 Share We saw in the article how the Romans developed the voussoir, barrel and groin vaults, domes, cement, plumbing, and heating to allow for space and comfort in their many buildings. Today, we’re going to see what happened afterwards: As the Roman Empire collapsed in the West, the Byzantines picked up the torch in the East and pushed its architectu… ## Continue reading this post for free, courtesy of Tomas Pueyo. Claim my free post [Or purchase a paid subscription.](https://unchartedterritories.tomaspueyo.com/ ?simple=true& =https%3A%2F%2Funchartedterritories.tomaspueyo.com%2Fp%2Fhow-western-religion-drove-its-architectural&utm_source=paywall&utm_medium=we

How Western Religion Drove Its Architectural Evolution # Uncharted TerritoriesTomas Pueyo Mar 19, 2026 ∙ Paid 24 12 2 Share We saw in the article how the Romans developed the voussoir, barrel and groin vaults, domes, cement, plumbing, and heating to allow for space and comfort in their many buildings. Today, we’re going to see what happened afterwards: As the Roman Empire collapsed in the West, the Byzantines picked up the torch in the East and pushed its architectu… ## Continue reading this post for free, courtesy of Tomas Pueyo. Claim my free post [Or purchase a paid subscription.](https://unchartedterritories.tomaspueyo.com/ ?simple=true& =https%3A%2F%2Funchartedterritories.tomaspueyo.com%2Fp%2Fhow-western-religion-drove-its-architectural&utm_source=paywall&utm_medium=we

If You Want to Improve the Environment, Bet on Economic Growth # Uncharted Territories, Bet on Economic Growth ### And other Energy & Environment Updates Tomas Pueyo Jan 04, 2026 ∙ Paid 31 25 3 Share _This is the premium article of the week. There are so many AI updates that I’m pushing back the AI article to week._ ## Continue reading this post for free, courtesy of Tomas Pueyo. Claim my free post [Or purchase a paid subscription.](https://unchartedterritories.tomaspueyo.com/ ?simple=true& =https%3A%2F%2Funchartedterritories.tomaspueyo.com%2Fp%2Fif-you-want-to-improve-the-environment&utm_source=paywall&utm_medium=web&utm_content=183453963&just_signed_up=falsesimple=true&utm_source=paywall&utm_medium=email&u

If You Want to Improve the Environment, Bet on Economic Growth # Uncharted Territories, Bet on Economic Growth ### And other Energy & Environment Updates Tomas Pueyo Jan 04, 2026 ∙ Paid 31 25 3 Share _This is the premium article of the week. There are so many AI updates that I’m pushing back the AI article to week._ ## Continue reading this post for free, courtesy of Tomas Pueyo. Claim my free post [Or purchase a paid subscription.](https://unchartedterritories.tomaspueyo.com/ ?simple=true& =https%3A%2F%2Funchartedterritories.tomaspueyo.com%2Fp%2Fif-you-want-to-improve-the-environment&utm_source=paywall&utm_medium=web&utm_content=183453963&just_signed_up=falsesimple=true&utm_source=paywall&utm_medium=email&u

Is the World a Better Place After the Capture of Maduro? # Uncharted Territories? Tomas Pueyo Jan 19, 2026 ∙ Paid 36 56 2 Share If the US’s capture of Venezuela’s leader, Maduro, was not for its oil, what was it for? Some people say the attack was great, others terrible. Who is right? How has the world changed since then? That’s what we’ll answer today. These were the US’s main adversaries in mid-2024: _This is an AI-generated map for illustrative purposes only. Don’t take it literall…_ ## Continue reading this post for free, courtesy of Tomas Pueyo. Claim my free post [Or purchase a paid subscription.](https://unchartedterritories.tomaspueyo.com/ ?simple=true& =https%3A%2F%2Funchartedterritories.tomaspueyo.com%2Fp%2Fis-th

Is the World a Better Place After the Capture of Maduro? # Uncharted Territories? Tomas Pueyo Jan 19, 2026 ∙ Paid 36 56 2 Share If the US’s capture of Venezuela’s leader, Maduro, was not for its oil, what was it for? Some people say the attack was great, others terrible. Who is right? How has the world changed since then? That’s what we’ll answer today. These were the US’s main adversaries in mid-2024: _This is an AI-generated map for illustrative purposes only. Don’t take it literall…_ ## Continue reading this post for free, courtesy of Tomas Pueyo. Claim my free post [Or purchase a paid subscription.](https://unchartedterritories.tomaspueyo.com/ ?simple=true& =https%3A%2F%2Funchartedterritories.tomaspueyo.com%2Fp%2Fis-th

[Uncharted Territories](/)? Tomas Pueyo Jan 13, 2026 ∙ Paid Trump claims that the abduction of Maduro is all about the oil: capturing it for US use, while keeping competitors from its benefits. But how realistic is it? This depends on how much oil can be extracted from Venezuela. Today, it’s ~1.1M barrels per day.*Source* A barrel of oil is currently worth about $60: But Venezuela’s oil is worse quality than most, so it sells for cheaper, ~$8 less as of today, or $52.1 Let’s assume that continues. But how much does it cost to extract a barrel of Orinoco oil and transport it and treat it to be sellable? So of these $52, about $23 are hard costs, and each barrel yields around $29 in profit. For 1.1M barrels per day, that’s ~$32M per day, or ~$11.7B per year. That’s how much money Venezuela could earn from its oil. Compare this to the current situation in the country: * The Venezuelan government’s last budget asked for ~$20B, or almost twice the revenue that can be obtained from oil production.2 * Venezuela owes ~$200B, or nearly 20 years worth of production! *Source* ConocoPhillips alone is owed $12B, about a year’s worth of all of Venezuela’s oil revenue! So either the US makes no money from Venezuela, or it plunders the oil and leaves Venezuelans to starve and die—won’t happen—, or it invests to decrease costs and increase production. Now, decreasing costs is very hard because, as we saw in the article, the oil is superheavy. As Nigel Harris said in this comment: > *In Saudi Arabia, all you have to do to extract the oil is drill a well, and control the resulting flow of oil and gas, which comes bursting out of the ground under its own geological pressure. Let the oil sit in a tank for a short while, and the gases bubble off (and are captured for use as fuels) and the water and sand settle out. The oil is ready to transport by pipeline and ship, and is of a quality readily handled by almost any fuel refinery in the world.* > > *The oil* [in the Orinoco Valley] *is extremely dense (heavier than water), extremely viscous (like pitch or molasses) and extremely dirty (over 5% sulfur and masses of metals like vanadium). The only deposit like this elsewhere in the world is Canada’s Athabasca oil sands.* > > *To extract the oil, you have to first pump large amounts of steam into the formation, to melt the hydrocarbons, then use electrical pumps at the surface or in the bottom of the well, up to a kilometer deep, to lift it to the surface. Once there, the “oil” is far too viscous to transport by pipeline or ship, and far too heavy and dirty for most refineries to tackle. So it is diluted by mixing with a much lighter crude oil, or the “condensate” liquids from a gas field, or refined naphtha (a solvent which you can buy as “white spirit” in UK DIY stores). The resulting diluted crude oil (DCO) is exported as Merey blend. This is still one of the heaviest, dirtiest crude oils in the world (16 API, 3.5% sulfur, high acidity and metals content), but it flows just well enough to be transported if kept warm, and some of the world’s more complex refineries can handle it, and make transport fuels from it, although usually alongside other lighter crudes.* So the only way to increase Venezuela’s oil revenue is by producing more crude. The problem with that is the investment required is massive.two best estimates suggest it would take tens of billions to maintain the existing infrastructure, and tens of billions more to go beyond that. *Source* Why? Because we would need to build more refining capacity, more export terminals, more tankers, more oil pipelines, more electricity generation to power the steam to dilute the heavy oil… The investments for final refining would certainly happen on US soil, but all the rest would have to happen in Venezuela. In the graph showing the cost of a barrel of oil, we had sections for Finding & Development and Cost of Capital. That is what would normally cover these costs. But that’s $12 per barrel today, so adding 1M barrels per day would only pay for ~$4B per year. Not enough to cover the tens of billions of upfront investment needed. So the margin that the government keeps after all this investment would shrink. That’s assuming oil companies want to do this. But why would they? They’ve been stripped of their Venezuelan investments not once, but twice! *Narrator: They did not, in fact, want to go in* That’s why Trump met with oil executives a few days ago to get commitments to invest $100B into Venezuelan oil, and why the executives answered lukewarmly. *President Donald Trump speaks durin

[Uncharted Territories](/)? Tomas Pueyo Jan 13, 2026 ∙ Paid Trump claims that the abduction of Maduro is all about the oil: capturing it for US use, while keeping competitors from its benefits. But how realistic is it? This depends on how much oil can be extracted from Venezuela. Today, it’s ~1.1M barrels per day.*Source* A barrel of oil is currently worth about $60: But Venezuela’s oil is worse quality than most, so it sells for cheaper, ~$8 less as of today, or $52.1 Let’s assume that continues. But how much does it cost to extract a barrel of Orinoco oil and transport it and treat it to be sellable? So of these $52, about $23 are hard costs, and each barrel yields around $29 in profit. For 1.1M barrels per day, that’s ~$32M per day, or ~$11.7B per year. That’s how much money Venezuela could earn from its oil. Compare this to the current situation in the country: * The Venezuelan government’s last budget asked for ~$20B, or almost twice the revenue that can be obtained from oil production.2 * Venezuela owes ~$200B, or nearly 20 years worth of production! *Source* ConocoPhillips alone is owed $12B, about a year’s worth of all of Venezuela’s oil revenue! So either the US makes no money from Venezuela, or it plunders the oil and leaves Venezuelans to starve and die—won’t happen—, or it invests to decrease costs and increase production. Now, decreasing costs is very hard because, as we saw in the article, the oil is superheavy. As Nigel Harris said in this comment: > *In Saudi Arabia, all you have to do to extract the oil is drill a well, and control the resulting flow of oil and gas, which comes bursting out of the ground under its own geological pressure. Let the oil sit in a tank for a short while, and the gases bubble off (and are captured for use as fuels) and the water and sand settle out. The oil is ready to transport by pipeline and ship, and is of a quality readily handled by almost any fuel refinery in the world.* > > *The oil* [in the Orinoco Valley] *is extremely dense (heavier than water), extremely viscous (like pitch or molasses) and extremely dirty (over 5% sulfur and masses of metals like vanadium). The only deposit like this elsewhere in the world is Canada’s Athabasca oil sands.* > > *To extract the oil, you have to first pump large amounts of steam into the formation, to melt the hydrocarbons, then use electrical pumps at the surface or in the bottom of the well, up to a kilometer deep, to lift it to the surface. Once there, the “oil” is far too viscous to transport by pipeline or ship, and far too heavy and dirty for most refineries to tackle. So it is diluted by mixing with a much lighter crude oil, or the “condensate” liquids from a gas field, or refined naphtha (a solvent which you can buy as “white spirit” in UK DIY stores). The resulting diluted crude oil (DCO) is exported as Merey blend. This is still one of the heaviest, dirtiest crude oils in the world (16 API, 3.5% sulfur, high acidity and metals content), but it flows just well enough to be transported if kept warm, and some of the world’s more complex refineries can handle it, and make transport fuels from it, although usually alongside other lighter crudes.* So the only way to increase Venezuela’s oil revenue is by producing more crude. The problem with that is the investment required is massive.two best estimates suggest it would take tens of billions to maintain the existing infrastructure, and tens of billions more to go beyond that. *Source* Why? Because we would need to build more refining capacity, more export terminals, more tankers, more oil pipelines, more electricity generation to power the steam to dilute the heavy oil… The investments for final refining would certainly happen on US soil, but all the rest would have to happen in Venezuela. In the graph showing the cost of a barrel of oil, we had sections for Finding & Development and Cost of Capital. That is what would normally cover these costs. But that’s $12 per barrel today, so adding 1M barrels per day would only pay for ~$4B per year. Not enough to cover the tens of billions of upfront investment needed. So the margin that the government keeps after all this investment would shrink. That’s assuming oil companies want to do this. But why would they? They’ve been stripped of their Venezuelan investments not once, but twice! *Narrator: They did not, in fact, want to go in* That’s why Trump met with oil executives a few days ago to get commitments to invest $100B into Venezuelan oil, and why the executives answered lukewarmly. *President Donald Trump speaks durin

KL Divergence - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 15, 2026 ∙ Paid 1 Share Kullback–Leibler (KL) divergence measures how different one probability distribution is from another. It quantifies how much information is lost when we use a model (predicted) distribution (Q) to approximate a true (target) distribution (P). ## Calculation The calculation begins with the predicted distribution Q(x) and the target distribution P(x). First, we take the logarithm of both Q(x) and P(x). , for each outcome, we compute the difference log(P(x)) minus log(Q(x)), which represents the log ratio between the target and predicted probabilities. This difference is then weighted by P(x), producing the term P(x) multiplied by log(P(x) over Q(x)). Finally, we sum these weighted terms across all outcomes to obtain the KL divergence. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fkl-divergence&utm_source=paywall&utm_medium=web&utm_content=188070100) [A

KL Divergence - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 15, 2026 ∙ Paid 1 Share Kullback–Leibler (KL) divergence measures how different one probability distribution is from another. It quantifies how much information is lost when we use a model (predicted) distribution (Q) to approximate a true (target) distribution (P). ## Calculation The calculation begins with the predicted distribution Q(x) and the target distribution P(x). First, we take the logarithm of both Q(x) and P(x). , for each outcome, we compute the difference log(P(x)) minus log(Q(x)), which represents the log ratio between the target and predicted probabilities. This difference is then weighted by P(x), producing the term P(x) multiplied by log(P(x) over Q(x)). Finally, we sum these weighted terms across all outcomes to obtain the KL divergence. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fkl-divergence&utm_source=paywall&utm_medium=web&utm_content=188070100) [A

KL Divergence - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 15, 2026 ∙ Paid 1 Share Kullback–Leibler (KL) divergence measures how different one probability distribution is from another. It quantifies how much information is lost when we use a model (predicted) distribution (Q) to approximate a true (target) distribution (P). ## Calculation The calculation begins with the predicted distribution Q(x) and the target distribution P(x). First, we take the logarithm of both Q(x) and P(x). , for each outcome, we compute the difference log(P(x)) minus log(Q(x)), which represents the log ratio between the target and predicted probabilities. This difference is then weighted by P(x), producing the term P(x) multiplied by log(P(x) over Q(x)). Finally, we sum these weighted terms across all outcomes to obtain the KL divergence. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fkl-divergence&utm_source=paywall&utm_medium=web&utm_content=188070100) [A

KL Divergence - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 15, 2026 ∙ Paid 1 Share Kullback–Leibler (KL) divergence measures how different one probability distribution is from another. It quantifies how much information is lost when we use a model (predicted) distribution (Q) to approximate a true (target) distribution (P). ## Calculation The calculation begins with the predicted distribution Q(x) and the target distribution P(x). First, we take the logarithm of both Q(x) and P(x). , for each outcome, we compute the difference log(P(x)) minus log(Q(x)), which represents the log ratio between the target and predicted probabilities. This difference is then weighted by P(x), producing the term P(x) multiplied by log(P(x) over Q(x)). Finally, we sum these weighted terms across all outcomes to obtain the KL divergence. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fkl-divergence&utm_source=paywall&utm_medium=web&utm_content=188070100) [A

L2 Loss - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 14, 2026 ∙ Paid 1 Share The L2 loss measures how far a model’s output (prediction) vector is from a target vector. It provides a single value that reflects the overall discrepancy between the model’s output and the desired outcome, encouraging predictions that stay close to the true target. ## Calculation To compute the L2 loss between a prediction vector and a target vector, take the difference between their corresponding components, square each difference, sum all the squared values, and then multiply the result by one-half. The one-half factor does not change where the minimum occurs, but it simplifies the gradient during optimization. This produces a single smooth measure of prediction error, where larger discrepancies contribute more strongly due to the squaring. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fl2-loss&utm_source=paywall&utm_medium=web&utm_content=187952350) [A

L2 Loss - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 14, 2026 ∙ Paid 1 Share The L2 loss measures how far a model’s output (prediction) vector is from a target vector. It provides a single value that reflects the overall discrepancy between the model’s output and the desired outcome, encouraging predictions that stay close to the true target. ## Calculation To compute the L2 loss between a prediction vector and a target vector, take the difference between their corresponding components, square each difference, sum all the squared values, and then multiply the result by one-half. The one-half factor does not change where the minimum occurs, but it simplifies the gradient during optimization. This produces a single smooth measure of prediction error, where larger discrepancies contribute more strongly due to the squaring. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fl2-loss&utm_source=paywall&utm_medium=web&utm_content=187952350) [A

L2 Loss - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 14, 2026 ∙ Paid 1 Share The L2 loss measures how far a model’s output (prediction) vector is from a target vector. It provides a single value that reflects the overall discrepancy between the model’s output and the desired outcome, encouraging predictions that stay close to the true target. ## Calculation To compute the L2 loss between a prediction vector and a target vector, take the difference between their corresponding components, square each difference, sum all the squared values, and then multiply the result by one-half. The one-half factor does not change where the minimum occurs, but it simplifies the gradient during optimization. This produces a single smooth measure of prediction error, where larger discrepancies contribute more strongly due to the squaring. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fl2-loss&utm_source=paywall&utm_medium=web&utm_content=187952350) [A

L2 Loss - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 14, 2026 ∙ Paid 1 Share The L2 loss measures how far a model’s output (prediction) vector is from a target vector. It provides a single value that reflects the overall discrepancy between the model’s output and the desired outcome, encouraging predictions that stay close to the true target. ## Calculation To compute the L2 loss between a prediction vector and a target vector, take the difference between their corresponding components, square each difference, sum all the squared values, and then multiply the result by one-half. The one-half factor does not change where the minimum occurs, but it simplifies the gradient during optimization. This produces a single smooth measure of prediction error, where larger discrepancies contribute more strongly due to the squaring. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fl2-loss&utm_source=paywall&utm_medium=web&utm_content=187952350) [A

Lançamento - Cartas ao Condado # Cartas ao Condado Inscreva-se Entrarçamento jan 05, 2026 ∙ Pago 43 8 1 Compartilhar O ano é 2026. No mundo existe uma profissão que os antigos não acreditariam: o _influencer; cospobre de celebridade, aspirante a Silvio Santos._ As pessoas já perderam a paciência de ver filmes; se tiver mais de 3 horas então, soa como a vida eterna. Para falar a verdade, existe uma multidão que não suporta nem 10 segundos de alguns vídeos. Um fato que se to… ## Continue lendo este post gratuitamente, cortesia de Elton Luiz. Reivindicar meu post gratuito [Ou adquirir uma assinatura paga.](https://eltonluiz.substack.com/ ?simple=true& =https%3A%2F%2Feltonluiz.substack.com%2Fp%2Flancamento&utm_source=paywall&utm_medium=web&utm_content=183274204&just_signed_up=falsesimple=true&utm_source=paywall&utm_medium=email&utm_content=183274204& =https://eltonluiz.substack.com/p/lancamento) © 2026 Elton Luiz · Privacidade ∙ Termos ∙ Aviso de coleta Comece seu SubstackObtenha o App Substack é o lar da grande cultura

LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS # AI Search AI Search LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS 1× 0:00 Current time: 0:00 / Total time: -39:11 -39:11 on your browser. Please upgrade. ## LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Mar 13, 2026 Share Transcript HUGE AI NEWS: Qwen 3.5, LTX 2.3, Kiwi Edit, HY WU, FireRed 1.1, CUDA agent & more #ai #ainews #aitools #aivideo Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS Mar 4•AI Search Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS Feb 11•AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Feb 7•AI Search [Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS](https://aisearch.substack.com/p/real

LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS # AI Search AI Search LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS 1× 0:00 Current time: 0:00 / Total time: -39:11 -39:11 on your browser. Please upgrade. ## LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Mar 13, 2026 Share Transcript HUGE AI NEWS: Qwen 3.5, LTX 2.3, Kiwi Edit, HY WU, FireRed 1.1, CUDA agent & more #ai #ainews #aitools #aivideo Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS Mar 4•AI Search Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS Feb 11•AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Feb 7•AI Search [Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS](https://aisearch.substack.com/p/real

LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS # AI Search AI Search LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS 1× 0:00 Current time: 0:00 / Total time: -39:11 -39:11 on your browser. Please upgrade. ## LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Mar 13, 2026 Share Transcript HUGE AI NEWS: Qwen 3.5, LTX 2.3, Kiwi Edit, HY WU, FireRed 1.1, CUDA agent & more #ai #ainews #aitools #aivideo Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS Mar 4•AI Search Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS Feb 11•AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Feb 7•AI Search [Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS](https://aisearch.substack.com/p/real

LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS # AI Search AI Search LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS 1× 0:00 Current time: 0:00 / Total time: -39:11 -39:11 on your browser. Please upgrade. ## LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Mar 13, 2026 Share Transcript HUGE AI NEWS: Qwen 3.5, LTX 2.3, Kiwi Edit, HY WU, FireRed 1.1, CUDA agent & more #ai #ainews #aitools #aivideo Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS Mar 4•AI Search Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS Feb 11•AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Feb 7•AI Search [Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS](https://aisearch.substack.com/p/real

ML: What It Is, How It Works & Why It Matters # Cheatsheets 🧩, How It Works & Why It Matters ### CS14 - An ML beginner-friendly guide with a visual cheatsheet. Josep Ferrer May 05, 2025 ∙ Paid 5 2 Share Machine learning is all around us, from your Netflix recommendations to the voice behind your phone’s assistant. But how does it work? And how can you get started? Today I’m bringing a simple introduction to **Machine Learning**, **its****types**, and **real-world examples** — plus giving you a cheatsheet to keep things crystal clear. 🙌🏻 So let’s get started with the full-resolution cheatsheet 👇🏻 ## This post is for paid subscribers [ ](https://www.databites.tech/ ?simple=true& =https%3A%2F%2Fwww.databites.tech%2Fp%2Fml-what-it-is-how-it-works-and-why&utm_source=paywall&utm_medium=web&utm_

Wispr says my most-used phrases with AI are “be a partner for me in this” and “ask me one question at a time.” #“ask me one question at a time.” ### Because chat LLMs aren’t very conversational Tal Raviv Jan 15, 2026 9 3 1 Share Wispr (my speech to text app) says my most-used phrase with AI is “ask me one question at a time.” It got me to reflect on why I say this so often. I realized that chat LLMs aren’t very conversational. (Think about the last time ChatGPT answered with a wall of text.) When I collaborate with an LLM and it answers with a novel, it reminds me of that junior person who gets a task and runs off for two weeks in a cave, working super hard on it. They come back and do a velvet reveal.... that’s completely misaligned. The longer the LLM’s response, the more assumptions it’s making. For example, imagine if an LLM replies with 8 questions for you to answer. If your answer to the first question isn’t what it expected, the other 7 become irrelevant. **So, when I say “ask me one question at a time” I’m giving AI a chance to align and recalibrate after each question.** This also extracts more context out of me that I wouldn’t have articulated upfront, and gives me tons of chances to apply my taste along the way. Opus responded with a single spot-on question, then paused for my response. Without that phrase, Opus printed four mostly irrelevant options (each with pros and cons), plus a section it titled “my instinct” and ended with 3 questions for me, all in the same breath. Whether I’m writing a spec, drafting a research plan, analyzing data, working on positioning, or just drafting an update: I get way better results, way faster, when I make it a conversation. It’s the same thing we already know about collaborating with humans: frequent alignment beats cranking away in isolation. * * * #### to Build AI product sense by using AI agents for real work By Tal Raviv · Launched 3 months ago Tal Raviv's newsletter Substack's , and and . 9 Likes∙ [1 Restack](https://substack.com/note/p-184523167/ ?utm_source=substack&utm_content=facepile-) 9 3 1 Share #### Comments Sandra Herz [Jan 15](https://www.talraviv.co/p/wispr-says-my-most-used-phrases-with/comment/200226379 "Jan 15, 2026, 4:29 PM") Plus we will all get more aware of wasting Tokens when the comfortable flat fee system comes to an end (and I am pretty sure it will, sooner or later). [Like](javascript:void(0))ReplyShare Rebecca Spitzer [Jan 15](https://www.talraviv.co/p/wispr-says-my-most-used-phrases-with/comment/200146059 "Jan 15, 2026, 1:37 PM") I was just saying to my husband last night that this is one of my favorites!! I hate when it asks me 25 questions and I have to answer at once. I love the pattern Claude / Claude Code where it asks a series of multi choice questions - smart and the UI is so cute. [Like](javascript:void(0))Reply[Sh

O homem que tinha tudo - Conto #01 - by Elton Luiz # Cartas ao Condado Inscreva-se Entrar#01 Elton Luiz jul 21, 2025 ∙ Pago 42 2 2 Compartilhar O problema de Jorge era os outros. Ele amava Antônio, melhor amigo de infância, mas a mulher do sujeito era uma gata de cair o queixo, e isso deixava Jorge furioso; ele acabava descontando na esposa, não suportava conversar com a mulher porque sempre que olhava para ela, enxergava a do Antônio. O carro do Jorge era bem legal, SUV, comprou zero. O problema… ## Continue lendo este post gratuitamente, cortesia de Elton Luiz. Reivindicar meu post gratuito [Ou adquirir uma assinatura paga.](https://eltonluiz.substack.com/ ?simple=true& =https%3A%2F%2Feltonluiz.substack.com%2Fp%2Fo-homem-que-tinha-tudo-conto-01&utm_source=paywall&utm_medium=web&utm_content=168460878&just_signed_up=falsesimple=true&utm_source=paywall&utm_medium=email&utm_content=168460878& =https://eltonluiz.substack.com/p/o-homem-que-tinha-tudo-conto-01) © 2026 Elton Luiz · Privacidade ∙ Termos ∙ Aviso de coleta Comece seu SubstackObtenha o App Substack é o lar da grande cultura

O IA-centrismo: nosso novo deus é o ChatGPT - by Elton Luiz # Cartas ao Condado Inscreva-se Entrar: nosso novo deus é o ChatGPT Elton Luiz jun 24, 2025 ∙ Pago 75 12 9 Compartilhar Um dia o mundo viveu no teocentrismo. Em algum momento alguém decidiu que o homem valia mais que Deus — ou que Deus sequer existia — e começamos a viver o antropocentrismo. Hoje, tudo indica que estamos rumando para o IA-centrismo: onde a inteligência artificial é o centro do universo, nosso novo deus que tem as respostas para todos os nossos problemas. Se… ## Continue lendo este post gratuitamente, cortesia de Elton Luiz. Reivindicar meu post gratuito [Ou adquirir uma assinatura paga.](https://eltonluiz.substack.com/ ?simple=true& =https%3A%2F%2Feltonluiz.substack.com%2Fp%2Fo-ia-centrismo-nosso-novo-deus-e&utm_source=paywall&utm_medium=web&utm_content=166692156&just_signed_up=falsesimple=true&utm_source=paywall&utm_medium=email&utm_content=166692156& =https://eltonluiz.substack.com/p/o-ia-centrismo-nosso-novo-deus-e) © 2026 Elton Luiz · Privacidade ∙ Termos ∙ Aviso de coleta Comece seu SubstackObtenha o App Substack é o lar da grande cultura

Os melhores livros que ninguém te indica - by Elton Luiz # Cartas ao Condado Inscreva-se Entrarém te indica ### Para aproveitar os descontos da Amazon. Elton Luiz jul 09, 2025 ∙ Pago 92 1 4 Compartilhar Hoje o recado é simples: eu vou te passar uma lista de livros que acho que você nunca leu. São alguns dos melhores livros que li nos últimos anos. Alguns são em inglês porque, bom, só tem essa opção. Compre todos que puder. Vão valer cada centavo. A lista: 1. Why greatness cannot be planned (para quem já tentou criar mil metas e nunca conseguiu cumprir nenhuma … ## Continue lendo este post gratuitamente, cortesia de Elton Luiz. Reivindicar meu post gratuito [Ou adquirir uma assinatura paga.](https://eltonluiz.substack.com/ ?simple=true& =https%3A%2F%2Feltonluiz.substack.com%2Fp%2Fos-melhores-livros-que-ninguem-te&utm_source=paywall&utm_medium=web&utm_content=167866355&just_signed_up=falsesimple=true&utm_source=paywall&utm_medium=email&utm_content=167866355& =https://eltonluiz.substack.com/p/os-melhores-livros-que-ninguem-te) © 2026 Elton Luiz · Privacidade ∙ Termos ∙ Aviso de coleta Comece seu SubstackObtenha o App Substack é o lar da grande cultura

[Uncharted Territories](/)### And petrostates are not ready for it Tomas Pueyo Feb 03, 2026 Renewable electricity is so cheap that it’s taking over the world. It will replace most fossil fuels: in power generation, car propulsion, heating… When it does, the budgets of dozens of countries will be destroyed because they mostly rely on oil and gas production today. What will happen to these countries? To global geopolitics? This is what we’ll explore in this series, starting by asking ourselves: When will oil sales start shrinking?: First, the expansion of coal in the 19th Century drove the Industrial Revolution. Then, the expansion of oil and gas in the 20th fueled the world’s wealth explosion. Everybody won, but the suppliers of oil and gas won an outsized return. The USSR was only viable as long as oil prices were high. Today, Russia’s war in Ukraine is financed by Russian gas. Many countries are dead without oil and gas income, as their entire governments’ budgets depend on these resources: So what happens if fossil fuel incomes crater? That’s entirely possible. The share of all world energy coming from fossil fuels is shrinking: And this shrinking is accelerating because of electricity. The world is electrifying, and that will accelerate: Unfortunately for fossil fuel countries—and fortunately for the world’s climate—renewable energy will completely take over electricity generation. *The share of electricity generation from wind and solar was 13.5% in 2023, 15% in 2024, and 18% in 2025. This trend is* accelerating! *Source.* The fact that solar generation in particular is accelerating can be seen through the installed base of solar capacity: This exponential is fueled by the virtuous cycle of production and costs: Indeed, solar costs keep shrinking: That’s just for solar panels, but overall solar electricity generation costs are also shrinking and will continue to do so. The Sun only shines during the day, but batteries bring sunshine to the night, and their cost is shrinking too. Which is why battery installations are exploding too. *Source* It doesn’t take a genius to connect the dots: 1. Solar is already the cheapest source of electricity, and its costs keep shrinking. Together with batteries, their combined cost will keep getting cheaper vs alternatives. 2. Installed capacity will continue soaring globally to cover demand. What we’re seeing in China will happen everywhere. 3. This will further accelerate electrification: Everybody wants cheap energy! Electric vehicles will replace internal combustion engines (ICE) faster, electric heat pumps will replace gas-fueled heaters, electric arc furnaces will replace combustion ones… 4. As electricity eats up global energy consumption, via solar and batteries, the demand for oil & gas will plummet. 5. The countries whose economies and government budgets depend on oil & gas… What happens to them? Well, it depends on *when* all of this happens.? This is no easy calculation. Dozens of organizations project demand for oil and gas in the coming decades, but this is the type of stupid mistake they make: And conversely, for coal: Why are these forecasts so flawed? I think one reason is vested interests: For example, of course OPEC forecasts see an increase in oil demand by 2045 Its existence depends on it. The other reason is that people assume the world will continue with business as usual. They don’t realize that, in energy, transitions can be extremely fast. ### Fast Transitions Look at transportation: Here’s industrial heating: Here’s lighting: Electricity went from less than 5% electric to over 90% in less than 20 years! At the beginning, new technologies take some time to figure out, but once they’re ready, uptake can be vertiginous. Solar, wind, and batteries seem to be on that path. If we assume that’s indeed the case, how will oil demand change in the coming decades? ### 1. Total Energy Demand Energy demand has been quite stable for decades. Let’s assume it continues. *Here we’re assuming energy consumption will continue the same path as in the last 6 decades. Is that fair? On one side, population growth has already started declining, so GDP growth will decelerate, and that will shrink energy demand. We’re also becoming more efficient. However, AI is also arriving, which will dramatically increase electricity demand. All in all, I think it’s a fair bet that energy will continue growing as it has.* ### 2. Electrification Here’s where we face a much harder problem. It’s clear to me that electrification will start accelerating due to cheaper electricity prices from renewables, which will prop up electric vehicles (EVs), heat pumps, electric arc furnaces, and other electrification technologies. How do you model this? > *The future is already here, it’s just not evenly distributed.*—William Gibson *Via this* According to this, China’s consumption of O&G will shrink by 40% by 2050 and 60% by 2060. I personally think that the transition will be much faster, because of solar. ### 3. The Solar Revolution If you just project the growth of the last few years into the future, you get this: The amount of solar capacity that China is installing is so massive that, if the annual growth continues, solar electricity would surpass the current trend of all electricity generation within 10 years! Of course that’s impossible, so what would happen instead is that: 1. This would accelerate electrification. That’s why China is a leader in solar panels, batteries, and EVs: The three technologies go hand in hand. 2. Primary energy would also grow faster, given such cheap electricity prices. 3. China will flood the world market with these electric devices. 4. Solar capacity growth will have to slow down in the coming years. For that, we should be seeing exponential growth for China’s solar generation, electricity generation, EVs, heat pumps… Is that what we see? Yes for solar. Yes for electricity (although of course its growth must look less aggressive because solar is still just a tiny part). To put this in context: > *In 2024, the total installed electricity capacity of the planet—every coal, gas, hydro, and nuclear plant and all of the renewables—was about 10 TW. The Chinese solar supply chain can now pump out 1 TW of panels every year.*—Source Let me repeat that: China can produce every year solar capacity equivalent to 10% of all electricity in the world today! This is why China (and India) have cut emissions from electricity generation for the first time in decades. What about cars? Yes for electric vehicles. For the first time, sales of EVs have surpassed those of ICE. What about heat pumps? *Annual sales of heat pumps (in millions of units) around the world* It’s less true for heat pumps, although I’d assume these would take longer to penetrate the market, because: * Electricity wasn’t so cheap in the past * The real estate market crashed in 2020-21 * Once a heating system is installed, it requires huge savings in energy to be retrofitted, and electricity prices are not quite there yet (but will be). I think what’s clear is this: By 2050, the share of China’s primary energy coming from O&G will be tiny. And if you think this is just China… Exponentials everywhere! Look at these lines and try to project them into the future. No, actually, let me do that for you: For the last few years, after a great start, EV sales didn’t look so good in Europe, but now it’s finally true: There are more EV sales than ICE. I think the slowdown in EV sales is because of a series of one-off issues: * Richer customers bought Teslas fast, but Elon Musk’s politicization slowed that down * EV fiscal support has shrunk, making them more expensive to buy for citizens * The charging infrastructure isn’t quite there yet * Europeans can’t yet feel the reduction in electricity prices from solar * Car makers focused on premium models (which competed against Tesla), when the true market was in cheap EVs like those of China’s BYD But it’s not just China and the rich world. Medium income and poor countries are seeing similar trends. The Pakistani story is especially interesting: In a country where electricity is expensive and unreliable, people have flocked to solar so quickly that it has gone from less than 1% of electricity generation to more than 10% in 5 years! The more cheap electricity there is, the more EVs people buy. *Source* In Turkey, sales of EVs and hybrids2 are soaring so much that, even in a growing overall car market, gasoline and diesel cars are shrinking. Look at Indonesia! *Dots are actuals, the red line is the estimate. Indonesia is on path to go from 20% of car sales as EVs to 80% in less than two years! Other countries that will transition in less than 10 years include Singapore, Denmark, Uruguay, Thailand, Malaysia, Albania, Poland, Turkey, Brazil, Norway, Belgium, Finland, Sweden, Chile, Luxembourg, China, Portugal, and the Netherlands. That’s as of today. I believe many more countries will qualify: They’re laggards to start, but will accelerate as the entire world starts buying EVs. Source.* This will happen across the world, especially in places where electricity from the grid is expensive and unreliable but the Sun shines a lot, like Africa.3 It might take a bit longer there, because poor countries don’t buy new cars (only second-hand ones), and the EV car market is not old enough yet,4 but it will happen within a decade. All these trends are the reason why so many models predicting O&G demand are off: * They try to figure out primary energy and electricity from past trends * Except you can’t do that because renewables are coming in like a bullet train in a china shop. They will upend everything, drive prices to the bottom, and with that electricity consumption will grow faster than in the past. * This will drive a massive electrification of the world, which will increase overall energy consumption, but it will shrink the share of that coming from O&G. What if you just take the share of all energy coming from renewables, and assume it continues accelerating at the same pace as in the last 20 years, what would fossil fuel energy look like in that case? Share According to this, fossil fuels would peak by the early 2030s: * The first to crash would be coal, and later it’d be followed by oil & gas. * Gas remains stable for the longest * Peak oil seems to happen in the early 2030s., society has been dreaming of Net Zero: A world where all governments get together to limit their own emissions. It turns out the naiveté of rich countries was exposed by poor countries when they said: “*No way we’re remaining poor.”* But what we’re saying here is that something akin to that is going to happen. Not because governments can agree—they can’t agree on anything—but because the economics of new tech overwhelmed politics. What it means is we can take the Net Zero modeling exercises and use them as a proxy for what might happen. BP has a good one: *This model shows how carbon emissions were going to peak in the coming years regardless, and shrink from hereon. The question is whether it will be a little or a lot, and my model suggests it’s closer to the blue line than the green.* The shrinking would be due to renewables and batteries (“power” below), industry (both electricity and heat, which can be achieved through heat pumps and electric arcs), and transportation (EVs): So it doesn’t look like we’re far off., wind, batteries, and EVs keep going as they have been, peak oil will come soon, and by 2050, demand for oil and gas will have shrunk considerably. It’s the dusk of the age of fossil fuels. This will be great for the environment! But the consequences for geopolitics are up in the air. What will happen then to countries like Russia, Venezuela, or Saudi Arabia? Will their economies crater? Will this reorganize global geopolitics? That’s what we’re going to explore in the articles. 1 *Just to give you an example: This OPEC study projects the demand for oil & gas (O&G) to increase from now to 2045. Why? It assumes:* * *An optimistic increase in global population* * *That electrification won’t go as fast as China suggests—notably OPEC assumes that in poor countries, people will buy lots of cars with internal combustion engines (ICE)!* * *That oil & gas electricity generation will barely budge!* * *That electric heat pumps won’t take over the heating market!* *Of course, OPEC has a vested interest in O&G demand increasing, so we can’t blame them. But everybody has vested interests, making it really hard to estimate when it will peak and shrink.* 2

[Uncharted Territories](/)### And petrostates are not ready for it Tomas Pueyo Feb 03, 2026 Renewable electricity is so cheap that it’s taking over the world. It will replace most fossil fuels: in power generation, car propulsion, heating… When it does, the budgets of dozens of countries will be destroyed because they mostly rely on oil and gas production today. What will happen to these countries? To global geopolitics? This is what we’ll explore in this series, starting by asking ourselves: When will oil sales start shrinking?: First, the expansion of coal in the 19th Century drove the Industrial Revolution. Then, the expansion of oil and gas in the 20th fueled the world’s wealth explosion. Everybody won, but the suppliers of oil and gas won an outsized return. The USSR was only viable as long as oil prices were high. Today, Russia’s war in Ukraine is financed by Russian gas. Many countries are dead without oil and gas income, as their entire governments’ budgets depend on these resources: So what happens if fossil fuel incomes crater? That’s entirely possible. The share of all world energy coming from fossil fuels is shrinking: And this shrinking is accelerating because of electricity. The world is electrifying, and that will accelerate: Unfortunately for fossil fuel countries—and fortunately for the world’s climate—renewable energy will completely take over electricity generation. *The share of electricity generation from wind and solar was 13.5% in 2023, 15% in 2024, and 18% in 2025. This trend is* accelerating! *Source.* The fact that solar generation in particular is accelerating can be seen through the installed base of solar capacity: This exponential is fueled by the virtuous cycle of production and costs: Indeed, solar costs keep shrinking: That’s just for solar panels, but overall solar electricity generation costs are also shrinking and will continue to do so. The Sun only shines during the day, but batteries bring sunshine to the night, and their cost is shrinking too. Which is why battery installations are exploding too. *Source* It doesn’t take a genius to connect the dots: 1. Solar is already the cheapest source of electricity, and its costs keep shrinking. Together with batteries, their combined cost will keep getting cheaper vs alternatives. 2. Installed capacity will continue soaring globally to cover demand. What we’re seeing in China will happen everywhere. 3. This will further accelerate electrification: Everybody wants cheap energy! Electric vehicles will replace internal combustion engines (ICE) faster, electric heat pumps will replace gas-fueled heaters, electric arc furnaces will replace combustion ones… 4. As electricity eats up global energy consumption, via solar and batteries, the demand for oil & gas will plummet. 5. The countries whose economies and government budgets depend on oil & gas… What happens to them? Well, it depends on *when* all of this happens.? This is no easy calculation. Dozens of organizations project demand for oil and gas in the coming decades, but this is the type of stupid mistake they make: And conversely, for coal: Why are these forecasts so flawed? I think one reason is vested interests: For example, of course OPEC forecasts see an increase in oil demand by 2045 Its existence depends on it. The other reason is that people assume the world will continue with business as usual. They don’t realize that, in energy, transitions can be extremely fast. ### Fast Transitions Look at transportation: Here’s industrial heating: Here’s lighting: Electricity went from less than 5% electric to over 90% in less than 20 years! At the beginning, new technologies take some time to figure out, but once they’re ready, uptake can be vertiginous. Solar, wind, and batteries seem to be on that path. If we assume that’s indeed the case, how will oil demand change in the coming decades? ### 1. Total Energy Demand Energy demand has been quite stable for decades. Let’s assume it continues. *Here we’re assuming energy consumption will continue the same path as in the last 6 decades. Is that fair? On one side, population growth has already started declining, so GDP growth will decelerate, and that will shrink energy demand. We’re also becoming more efficient. However, AI is also arriving, which will dramatically increase electricity demand. All in all, I think it’s a fair bet that energy will continue growing as it has.* ### 2. Electrification Here’s where we face a much harder problem. It’s clear to me that electrification will start accelerating due to cheaper electricity prices from renewables, which will prop up electric vehicles (EVs), heat pumps, electric arc furnaces, and other electrification technologies. How do you model this? > *The future is already here, it’s just not evenly distributed.*—William Gibson *Via this* According to this, China’s consumption of O&G will shrink by 40% by 2050 and 60% by 2060. I personally think that the transition will be much faster, because of solar. ### 3. The Solar Revolution If you just project the growth of the last few years into the future, you get this: The amount of solar capacity that China is installing is so massive that, if the annual growth continues, solar electricity would surpass the current trend of all electricity generation within 10 years! Of course that’s impossible, so what would happen instead is that: 1. This would accelerate electrification. That’s why China is a leader in solar panels, batteries, and EVs: The three technologies go hand in hand. 2. Primary energy would also grow faster, given such cheap electricity prices. 3. China will flood the world market with these electric devices. 4. Solar capacity growth will have to slow down in the coming years. For that, we should be seeing exponential growth for China’s solar generation, electricity generation, EVs, heat pumps… Is that what we see? Yes for solar. Yes for electricity (although of course its growth must look less aggressive because solar is still just a tiny part). To put this in context: > *In 2024, the total installed electricity capacity of the planet—every coal, gas, hydro, and nuclear plant and all of the renewables—was about 10 TW. The Chinese solar supply chain can now pump out 1 TW of panels every year.*—Source Let me repeat that: China can produce every year solar capacity equivalent to 10% of all electricity in the world today! This is why China (and India) have cut emissions from electricity generation for the first time in decades. What about cars? Yes for electric vehicles. For the first time, sales of EVs have surpassed those of ICE. What about heat pumps? *Annual sales of heat pumps (in millions of units) around the world* It’s less true for heat pumps, although I’d assume these would take longer to penetrate the market, because: * Electricity wasn’t so cheap in the past * The real estate market crashed in 2020-21 * Once a heating system is installed, it requires huge savings in energy to be retrofitted, and electricity prices are not quite there yet (but will be). I think what’s clear is this: By 2050, the share of China’s primary energy coming from O&G will be tiny. And if you think this is just China… Exponentials everywhere! Look at these lines and try to project them into the future. No, actually, let me do that for you: For the last few years, after a great start, EV sales didn’t look so good in Europe, but now it’s finally true: There are more EV sales than ICE. I think the slowdown in EV sales is because of a series of one-off issues: * Richer customers bought Teslas fast, but Elon Musk’s politicization slowed that down * EV fiscal support has shrunk, making them more expensive to buy for citizens * The charging infrastructure isn’t quite there yet * Europeans can’t yet feel the reduction in electricity prices from solar * Car makers focused on premium models (which competed against Tesla), when the true market was in cheap EVs like those of China’s BYD But it’s not just China and the rich world. Medium income and poor countries are seeing similar trends. The Pakistani story is especially interesting: In a country where electricity is expensive and unreliable, people have flocked to solar so quickly that it has gone from less than 1% of electricity generation to more than 10% in 5 years! The more cheap electricity there is, the more EVs people buy. *Source* In Turkey, sales of EVs and hybrids2 are soaring so much that, even in a growing overall car market, gasoline and diesel cars are shrinking. Look at Indonesia! *Dots are actuals, the red line is the estimate. Indonesia is on path to go from 20% of car sales as EVs to 80% in less than two years! Other countries that will transition in less than 10 years include Singapore, Denmark, Uruguay, Thailand, Malaysia, Albania, Poland, Turkey, Brazil, Norway, Belgium, Finland, Sweden, Chile, Luxembourg, China, Portugal, and the Netherlands. That’s as of today. I believe many more countries will qualify: They’re laggards to start, but will accelerate as the entire world starts buying EVs. Source.* This will happen across the world, especially in places where electricity from the grid is expensive and unreliable but the Sun shines a lot, like Africa.3 It might take a bit longer there, because poor countries don’t buy new cars (only second-hand ones), and the EV car market is not old enough yet,4 but it will happen within a decade. All these trends are the reason why so many models predicting O&G demand are off: * They try to figure out primary energy and electricity from past trends * Except you can’t do that because renewables are coming in like a bullet train in a china shop. They will upend everything, drive prices to the bottom, and with that electricity consumption will grow faster than in the past. * This will drive a massive electrification of the world, which will increase overall energy consumption, but it will shrink the share of that coming from O&G. What if you just take the share of all energy coming from renewables, and assume it continues accelerating at the same pace as in the last 20 years, what would fossil fuel energy look like in that case? Share According to this, fossil fuels would peak by the early 2030s: * The first to crash would be coal, and later it’d be followed by oil & gas. * Gas remains stable for the longest * Peak oil seems to happen in the early 2030s., society has been dreaming of Net Zero: A world where all governments get together to limit their own emissions. It turns out the naiveté of rich countries was exposed by poor countries when they said: “*No way we’re remaining poor.”* But what we’re saying here is that something akin to that is going to happen. Not because governments can agree—they can’t agree on anything—but because the economics of new tech overwhelmed politics. What it means is we can take the Net Zero modeling exercises and use them as a proxy for what might happen. BP has a good one: *This model shows how carbon emissions were going to peak in the coming years regardless, and shrink from hereon. The question is whether it will be a little or a lot, and my model suggests it’s closer to the blue line than the green.* The shrinking would be due to renewables and batteries (“power” below), industry (both electricity and heat, which can be achieved through heat pumps and electric arcs), and transportation (EVs): So it doesn’t look like we’re far off., wind, batteries, and EVs keep going as they have been, peak oil will come soon, and by 2050, demand for oil and gas will have shrunk considerably. It’s the dusk of the age of fossil fuels. This will be great for the environment! But the consequences for geopolitics are up in the air. What will happen then to countries like Russia, Venezuela, or Saudi Arabia? Will their economies crater? Will this reorganize global geopolitics? That’s what we’re going to explore in the articles. 1 *Just to give you an example: This OPEC study projects the demand for oil & gas (O&G) to increase from now to 2045. Why? It assumes:* * *An optimistic increase in global population* * *That electrification won’t go as fast as China suggests—notably OPEC assumes that in poor countries, people will buy lots of cars with internal combustion engines (ICE)!* * *That oil & gas electricity generation will barely budge!* * *That electric heat pumps won’t take over the heating market!* *Of course, OPEC has a vested interest in O&G demand increasing, so we can’t blame them. But everybody has vested interests, making it really hard to estimate when it will peak and shrink.* 2

Pecado mortal que te leva para o inferno # Cartas ao Condado Inscreva-se Entrar### Terça-feira, 30 de setembro de 2025. 11:03 p.m. out 06, 2025 ∙ Pago 36 8 2 Compartilhar Para mim é assim: só deveria escrever quem tem algo a dizer. Sempre me pareceu pecado grave escrever por dinheiro. No ano passado me disseram que eu tinha que escrever um livro. Livros são sinal de autoridade, te dão reputação e, consequentemente, você ganha mais dinheiro. Na hora eu achei legal, mas depois me senti sujo, impuro (é como provavelmente se se… ## Continue lendo este post gratuitamente, cortesia de Elton Luiz. Reivindicar meu post gratuito [Ou adquirir uma assinatura paga.](https://eltonluiz.substack.com/ ?simple=true& =https%3A%2F%2Feltonluiz.substack.com%2Fp%2Fpecado-mortal-que-te-leva-para-o&utm_source=paywall&utm_medium=web&utm_content=175315473&just_signed_up=falsesimple=true&utm_source=paywall&utm_medium=email&utm_content=175315473& =https://eltonluiz.substack.com/p/pecado-mortal-que-te-leva-para-o) © 2026 Elton Luiz · Privacidade ∙ Termos ∙ Aviso de coleta Comece seu SubstackObtenha o App Substack é o lar da grande cultura

Por que você não consegue criar o hábito de ler? # Cartas ao Condado Inscreva-se Entrarê não consegue criar o hábito de ler? ### Porque você quer velocidade. Não silêncio. Elton Luiz mai 31, 2025 ∙ Pago 52 5 1 Compartilhar _Quarta-feira, 21 de maio de 2025. 11:35 p.m._ A única coisa que me irrita no futebol são os caras que se irritam no futebol. O sujeito é gordinho — sério, eu devo ter uns 18% de gordura corporal e estou fácil entre os mais magros —, erra tanto quanto os outros, precisa melhorar muito para ser chamado de ruim, mas fica puto com qualquer passe nas costas ou … ## Continue lendo este post gratuitamente, cortesia de Elton Luiz. Reivindicar meu post gratuito [Ou adquirir uma assinatura paga.](https://eltonluiz.substack.com/ ?simple=true& =https%3A%2F%2Feltonluiz.substack.com%2Fp%2Fpor-que-voce-nao-consegue-criar-o&utm_source=paywall&utm_medium=web&utm_content=164476498&just_signed_up=falsesimple=true&utm_source=paywall&utm_medium=email&utm_content=164476498& =https://eltonluiz.substack.com/p/por-que-voce-nao-consegue-criar-o) © 2026 Elton Luiz · Privacidade ∙ Termos ∙ Aviso de coleta Comece seu SubstackObtenha o App Substack é o lar da grande cultura

Position Yourself for Luck - by Josep Ferrer - DataBites # Josep's Notes 🚀### Notes #11 - How to shift your environment, act with agency, and make better decisions that attract opportunity. Josep Ferrer May 28, 2025 ∙ Paid 10 3 1 Share **Hey everyone! 👋🏼** Josep here, back with your weekly bite of career insights and encouragement ✨ Last week, we unpacked why **mindset beats raw talent** — and how the smallest shift in belief can unlock big transformation. #### Why Resilience Is the New Hard Skill [Josep Ferrer · May 20, 2025 Read full story](https://www.databites.tech/p/why-resilience-is-the-new-hard-skill) This week, we go even deeper. 🌀 **What do you do when the world is changing faster than your plans can keep up?**You improve your _position_ — … ## This post is for paid subscribers [ ](https://www.databites.

[AI Search](/) AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS 0:00 Current time: 0:00 / Total time: -40:52 -40:52 ## Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Feb 07, 2026 HUGE AI NEWS: Google Genie 3, Lingbot World, Moltbook, Clawdbot, Kimi K2.5, Qwen Max #ai #ainews #aitools #aivideo Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS • AI Search [Realtime AI video, -level AI agents, realtime TTS, new open music generator, new video animator: AI NEWS](https://aisearch.substack.com/p/realtime-ai-video- -level-ai-agents) • AI Search AI tutor agents, omnimodal video models, LTX-2 updates, long-term memory, video faceswap: AI NEWS • AI Search DeepSeek breakthrough, realtime upscaler, realtime 3D worlds, new top 3D generator, Qwen Image 2512: AI NEWS • AI Search [New

Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS # AI Search AI Search Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS 1× 0:00 Current time: 0:00 / Total time: -45:10 -45:10 on your browser. Please upgrade. ## Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Mar 04, 2026 Share Transcript HUGE AI NEWS: Qwen 3.5, Solaris, Quiver Arrow 1.0, LavaSR, Doc to Lora, & more #ai #ainews #aitools #aivideo #agi Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS Mar 13•AI Search Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS Feb 11•AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Feb 7•AI Search [Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS](https://aisearch.substack.com/p/realtime

Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS # AI Search AI Search Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS 1× 0:00 Current time: 0:00 / Total time: -45:10 -45:10 on your browser. Please upgrade. ## Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Mar 04, 2026 Share Transcript HUGE AI NEWS: Qwen 3.5, Solaris, Quiver Arrow 1.0, LavaSR, Doc to Lora, & more #ai #ainews #aitools #aivideo #agi Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS Mar 13•AI Search Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS Feb 11•AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Feb 7•AI Search [Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS](https://aisearch.substack.com/p/realtime

Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS # AI Search AI Search Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS 1× 0:00 Current time: 0:00 / Total time: -45:10 -45:10 on your browser. Please upgrade. ## Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Mar 04, 2026 Share Transcript HUGE AI NEWS: Qwen 3.5, Solaris, Quiver Arrow 1.0, LavaSR, Doc to Lora, & more #ai #ainews #aitools #aivideo #agi Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS Mar 13•AI Search Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS Feb 11•AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Feb 7•AI Search [Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS](https://aisearch.substack.com/p/realtime

Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS # AI Search AI Search Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS 1× 0:00 Current time: 0:00 / Total time: -45:10 -45:10 on your browser. Please upgrade. ## Realtime AI waifus, Qwen 3.5, persistent memory, multiplayer gameplay, new image models: AI NEWS Welcome to the AI Search podcast. Here are the top highlights in AI this week AI Search Mar 04, 2026 Share Transcript HUGE AI NEWS: Qwen 3.5, Solaris, Quiver Arrow 1.0, LavaSR, Doc to Lora, & more #ai #ainews #aitools #aivideo #agi Note that most of the examples are visual. See my Youtube video for the best experience. AI Search AI news, science, & research. Stay up to date with AI every week. AI news, science, & research. Stay up to date with AI every week. Substack App Apple Podcasts Spotify RSS Feed Appears in episode AI Search Recent Episodes LTX 2.3, GPT 5.4, CUDA agent, realtime AI videos, new image models: AI NEWS Mar 13•AI Search Opus 4.6, GPT 5.3 Codex, StepFun, Qwen3 Coder, new deepfake AIs, new video tools: AI NEWS Feb 11•AI Search Realtime AI video games, Moltbook, agent swarms, AI Earth, open video models: AI NEWS Feb 7•AI Search [Realtime AI voices, AI livestreamers, Blender 3D agents, realtime worlds, new top OCR: AI NEWS](https://aisearch.substack.com/p/realtime

SQL COURSE PROBLEM #1 # SQL crash course 🔢#1 ### SQL Crash Course - Managing your own newsletters Josep Ferrer and Cornellius Yudha Wijaya May 29, 2025 ∙ Paid 9 2 3 Share _All the course material is stored in the **SQL Crash Course repository**._ Hi everyone! **Josep** and Cornellius Yudha Wijaya from Non-Brand Data here 👋🏻 As promised, today we are publishing the two issues of our SQL Crash Course – From Zero to Hero! 🚀 I

SQL COURSE PROBLEM #4 # SQL crash course 🔢#4 ### SQL Crash Course - Managing Financial Services Database Josep Ferrer and Cornellius Yudha Wijaya Jun 06, 2025 ∙ Paid 7 2 Share _All the course material is stored in the **SQL Crash Course repository**._ Hi everyone! **Josep** and Cornellius Yudha Wijaya from Non-Brand Data here 👋🏻 As promised, today we are publishing the two issues of our SQL Crash Course – From Zero to Hero! 🚀 I

Swish (SiLU) - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️(SiLU) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 19, 2026 ∙ Paid 1 Share Swish, also known as Sigmoid Linear Unit (SiLU), is designed to introduce a smooth, self-gated activation mechanism. Instead of abruptly cutting off negative inputs like ReLU, Swish multiplies the input x by a sigmoid gate σ(x) that softly scales the signal between 0 and 1. For large positive values, the gate approaches 1 and the function behaves like a linear pass-through. For large negative values, the gate approaches 0, gradually suppressing the signal. Below is the ReLU activation for comparison. You can think of ReLU as using a hard gate: the gate value is 0 when x 0. This creates a sharp transition at x = 0. Swish replaces this sharp transition with a smooth “swish” transition (pun intended). ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fswish-silu&utm_source=paywall&utm_medium=web&utm_content=188486273) [A

Swish (SiLU) - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️(SiLU) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 19, 2026 ∙ Paid 1 Share Swish, also known as Sigmoid Linear Unit (SiLU), is designed to introduce a smooth, self-gated activation mechanism. Instead of abruptly cutting off negative inputs like ReLU, Swish multiplies the input x by a sigmoid gate σ(x) that softly scales the signal between 0 and 1. For large positive values, the gate approaches 1 and the function behaves like a linear pass-through. For large negative values, the gate approaches 0, gradually suppressing the signal. Below is the ReLU activation for comparison. You can think of ReLU as using a hard gate: the gate value is 0 when x 0. This creates a sharp transition at x = 0. Swish replaces this sharp transition with a smooth “swish” transition (pun intended). ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fswish-silu&utm_source=paywall&utm_medium=web&utm_content=188486273) [A

Swish (SiLU) - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️(SiLU) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 19, 2026 ∙ Paid 1 Share Swish, also known as Sigmoid Linear Unit (SiLU), is designed to introduce a smooth, self-gated activation mechanism. Instead of abruptly cutting off negative inputs like ReLU, Swish multiplies the input x by a sigmoid gate σ(x) that softly scales the signal between 0 and 1. For large positive values, the gate approaches 1 and the function behaves like a linear pass-through. For large negative values, the gate approaches 0, gradually suppressing the signal. Below is the ReLU activation for comparison. You can think of ReLU as using a hard gate: the gate value is 0 when x 0. This creates a sharp transition at x = 0. Swish replaces this sharp transition with a smooth “swish” transition (pun intended). ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fswish-silu&utm_source=paywall&utm_medium=web&utm_content=188486273) [A

Swish (SiLU) - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️(SiLU) ### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 19, 2026 ∙ Paid 1 Share Swish, also known as Sigmoid Linear Unit (SiLU), is designed to introduce a smooth, self-gated activation mechanism. Instead of abruptly cutting off negative inputs like ReLU, Swish multiplies the input x by a sigmoid gate σ(x) that softly scales the signal between 0 and 1. For large positive values, the gate approaches 1 and the function behaves like a linear pass-through. For large negative values, the gate approaches 0, gradually suppressing the signal. Below is the ReLU activation for comparison. You can think of ReLU as using a hard gate: the gate value is 0 when x 0. This creates a sharp transition at x = 0. Swish replaces this sharp transition with a smooth “swish” transition (pun intended). ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Fswish-silu&utm_source=paywall&utm_medium=web&utm_content=188486273) [A

Tanh - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 20, 2026 ∙ Paid 1 Share The Tanh activation function takes any number and smoothly squeezes it into a range between –1 and 1. It keeps the signal centered around zero, which helps the network learn more efficiently, especially in deeper layers. Like a gentle S‑shaped curve, it allows strong signals to pass through while taming extreme values, making it a popular choice when you want both positive and negative activity in the model. In comparison, the sigmoid activation function σ(x) squeezes a value into a range between 0 and 1. It also has an S-shaped curve, but it’s centered at y = 0.5, and its most active transition occurs roughly in the x-range of –6 to 6, wider than that of tanh. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Ftanh&utm_source=paywall&utm_medium=web&utm_content=188617676) [A

Tanh - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 20, 2026 ∙ Paid 1 Share The Tanh activation function takes any number and smoothly squeezes it into a range between –1 and 1. It keeps the signal centered around zero, which helps the network learn more efficiently, especially in deeper layers. Like a gentle S‑shaped curve, it allows strong signals to pass through while taming extreme values, making it a popular choice when you want both positive and negative activity in the model. In comparison, the sigmoid activation function σ(x) squeezes a value into a range between 0 and 1. It also has an S-shaped curve, but it’s centered at y = 0.5, and its most active transition occurs roughly in the x-range of –6 to 6, wider than that of tanh. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Ftanh&utm_source=paywall&utm_medium=web&utm_content=188617676) [A

Tanh - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 20, 2026 ∙ Paid 1 Share The Tanh activation function takes any number and smoothly squeezes it into a range between –1 and 1. It keeps the signal centered around zero, which helps the network learn more efficiently, especially in deeper layers. Like a gentle S‑shaped curve, it allows strong signals to pass through while taming extreme values, making it a popular choice when you want both positive and negative activity in the model. In comparison, the sigmoid activation function σ(x) squeezes a value into a range between 0 and 1. It also has an S-shaped curve, but it’s centered at y = 0.5, and its most active transition occurs roughly in the x-range of –6 to 6, wider than that of tanh. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Ftanh&utm_source=paywall&utm_medium=web&utm_content=188617676) [A

Tanh - by Prof. Tom Yeh - AI by Hand ✍️ # AI by Hand ✍️### Essential AI Math Excel Blueprints Prof. Tom Yeh Feb 20, 2026 ∙ Paid 1 Share The Tanh activation function takes any number and smoothly squeezes it into a range between –1 and 1. It keeps the signal centered around zero, which helps the network learn more efficiently, especially in deeper layers. Like a gentle S‑shaped curve, it allows strong signals to pass through while taming extreme values, making it a popular choice when you want both positive and negative activity in the model. In comparison, the sigmoid activation function σ(x) squeezes a value into a range between 0 and 1. It also has an S-shaped curve, but it’s centered at y = 0.5, and its most active transition occurs roughly in the x-range of –6 to 6, wider than that of tanh. ## Excel Blueprint This Excel Blueprint is available to AI by Hand Academy members. You can become a member [via a paid Substack subscription](https://www.byhand.ai/). ## This post is for paid subscribers [ ](https://www.byhand.ai/ ?simple=true& =https%3A%2F%2Fwww.byhand.ai%2Fp%2Ftanh&utm_source=paywall&utm_medium=web&utm_content=188617676) [A

The Importance of Context - by Josep Ferrer - DataBites # Josep's Notes 🚀### Notes #12 - Don’t just show data. Tell the story that moves people. Josep Ferrer Jun 03, 2025 ∙ Paid 3 1 Share **Hey everyone! 👋🏼** Josep here, back with your weekly bite of career insights and encouragement ✨ Last week, we unpacked how to position ourselves for luck. #### Position Yourself for Luck [Josep Ferrer · May 28, 2025 Read full story](https://www.databites.tech/p/position-yourself-for-luck) This week, let me ask you this: Have you ever built a chart that _technically_ made sense… but no one seemed to get it? You showed the data, but it didn’t land. It didn’t inspire action. It didn’t spark con… ## This post is for paid subscribers [ ](https://www.databites.tech/ ?si

Updated Evidence on Robotaxis - by Tomas Pueyo # Uncharted TerritoriesTomas Pueyo Jan 22, 2026 ∙ Paid 30 41 1 Share _This article was edited a few hours after posting, on news from Tesla’s Unsupervised Driving._ This is a quick premium note adding more information about the robotaxi market, which I analyzed in thesethreearticles. In those articles, I concluded that: 1. Waymo is growing too slowly, probably because each car is too expensive. 2. Tesla’s Robotaxi will likely sta… ## Continue reading this post for free, courtesy of Tomas Pueyo. Claim my free post [Or purchase a paid subscription.](https://unchartedterritories.toma

Updated Evidence on Robotaxis - by Tomas Pueyo # Uncharted TerritoriesTomas Pueyo Jan 22, 2026 ∙ Paid 30 41 1 Share _This article was edited a few hours after posting, on news from Tesla’s Unsupervised Driving._ This is a quick premium note adding more information about the robotaxi market, which I analyzed in thesethreearticles. In those articles, I concluded that: 1. Waymo is growing too slowly, probably because each car is too expensive. 2. Tesla’s Robotaxi will likely sta… ## Continue reading this post for free, courtesy of Tomas Pueyo. Claim my free post [Or purchase a paid subscription.](https://unchartedterritories.toma

Why Resilience Is the New Hard Skill - by Josep Ferrer # Josep's Notes 🚀### Notes #10 - The skill that keeps you growing when plans fall apart Josep Ferrer May 20, 2025 ∙ Paid 17 2 2 Share **Hey everyone! 👋🏼** Josep here, back with your weekly bite of career insights and encouragement ✨ Last week, we explored how **mindset, not talent, shapes your future, and how a small shift in belief can unlock big growth.** #### Fixed Mindset vs Groth Mindset [Josep Ferrer · May 13, 2025 Read full story](https://www.databites.tech/p/fixed-mindset-vs-groth-mindset) This week, we go even deeper. 🌀 **What happens when the world keeps changing faster than your plans can keep up?** ## This post is for paid subscribers [ ](https://www.databites.tech/ ?simple=tr

Why Soft Skills Are the New Hard Skills - by Josep Ferrer # Josep's Notes 🚀### Notes #8 - Why mastering emotional intelligence, adaptability, and empathy is your ultimate career advantage in the age of AI. Josep Ferrer May 06, 2025 ∙ Paid 14 3 6 Share **Hey everyone! 👋🏼** Josep here, back with your weekly bite of career insights and encouragement ✨ Last week, we explored **how showing up—even when uninspired—can unlock your best creative work.** #### You Don’t Need to Feel Inspired to Get Things Done Josep Ferrer · April 29, 2025 Read full story This week, we’re shifting focus to a different kind of edge: the human one. 🌀 **our most valuable skills might not be technical—they’re human.** ## Thi

You Don’t Need to Feel Inspired to Get Things Done # Josep's Notes 🚀### Notes #7 - Why maniacal momentum beats waiting for the perfect moment, EVERY SINGLE TIME. Josep Ferrer Apr 29, 2025 ∙ Paid 9 3 Share **Hey everyone! 👋🏼** Josep here, back with your weekly bite of career insights and encouragement ✨ Last week, we dove into how **GenAI is**_**not**_**the real threat**, but how _you_ adapt to it might be. #### GenAI Won’t Replace You — But Someone Who Knows How to Use It Will [Josep Ferrer · April 22, 2025 Read full story](https://www.databites.tech/p/genai-wont-replace-you-but-someone) This week, we’re taking a different kind of plunge — one that’s a little more personal, a little more uncomfortable, and incredibly important: 🌀 **Your work doesn’t have t…** ## This post is for paid subscribers [ ](https://www.databites.tech/ ?si

You’re Using ChatGPT Wrong (According to 700M Users) # Josep's Notes 🚀(According to 700M Users) ### Notes #13 - Why asking > doing, and how to turn prompts into business decisions. Josep Ferrer Sep 16, 2025 ∙ Paid 11 3 Share **Hey everyone! 👋🏼** Josep here, back with your weekly bite of career insights and encouragement ✨ Enjoying a biking day from Rotterdam to Delft! 💚 ### A quick gut-check: When you picture ChatGPT, what’s the first image that pops up? Someone cranking out SQL? Debugging Python? Auto-drafting emails? That was my picture too, until I dug into a new OpenAI study cover… ## This post is for paid subscribers [ ](https://www.databites.tech/ ?simple=true& =https%3A%2F%2Fwww.databites.tech%2Fp%2Fwhy-most-people-dont-use-chatgpt&utm_source=paywall&utm_medium=web&utm

“There’s no replacement for text, and there never will be”

“There’s no replacement for text, and there never will be”

⚡ October: One task - by Naomi from Todoist

⚡ October: One task - by Naomi from Todoist

👋 May: We’re leaving… - by Naomi from Todoist

👋 May: We’re leaving… - by Naomi from Todoist

📈 January: Set Yourself Up ### Four realistic tips for 2026, with a dose of honest New Year energy Naomi from Todoist Jan 01, 2026 #### Happy 2026. 🥂 I don’t plan to waste your time with saccharine “New Year, New Me” content. Fresh starts are phenomenal. I love them. But I also want you to succeed at whatever you want your 2026 to look like. And most “New Year, New Me” advice falls short of empowering you to make that happen. So here are four things that I know to be true and that I believe will propel you forward this year, way faster than any “first month free” gym membership or green powder subscription will. It’s the scaffolding I’m using for my own 2026 plans. Without further ado … --- ### 💆‍♀️ Take the whole of January Every year around this time, most of the world seems to agree that the first of January is the moment you’re supposed to be ready. Your goals should be locked in, your habits decided, and your game plan set. Off you go. I’ve never quite bought into that. For as long as I can remember, I’ve taken the whole of January to figure things out. Not because I’m indecisive, but because I’ve learned (the hard way) that urgency is a terrible environment for good decisions. One rushed day of planning rarely beats a few weeks of taking stock, adjusting, and setting myself up properly. Honestly? Starting in February is underrated. The gyms are quieter. Most people have already forgotten what they promised themselves. And there’s something about the rebellion of improving my life on my own timeline that appeals to me. So take your sweet time. One month of unhurried preparation, habit forming, and tapping into what you *really* want, will set you up for eleven months of sustained energy and focus better than a first-of-January outburst ever will. --- ### 🥴 Stop overloading your brain If there’s one thing that reliably derails any good intention, it’s overwhelm. * The thoughts that pop up while brushing your teeth. * The idea that arrives mid-conversation. * The reminder that appears just as you’re about to fall asleep. You feel the urge to *write that down* – but it ends up on the back of an envelope, buried in Notes, or lost to the abyss of “I’ll remember this later.” (You won’t). Over time, those loose ends pile up as low-level background stress. Your brain keeps nudging you because it doesn’t trust that anything important is being looked after. Feeling organized has very little to do with color-coded systems or perfect plans. It’s basically all about trust. And your brain loves to trust a single source of truth. So pick **one** place to park those thoughts. And use it every day. It can be anywhere. A single notepad will do. As you’ll know, for me, it’s Todoist. And even more so now that we’ve released the feature, Ramble. Speaking messy thoughts and watching Ramble magically transform them into tasks is the catharsis I didn’t know I needed. I recently posted an impromptu video on LinkedIn of how I use it to plan the weekend’s meals; it’s a kinda show-don’t-tell feature. Just pick one place to offload your mental chatter, that’s the takeaway. And stick with it. Once you start to trust that system, you’ll reach a greater level of peace. --- ### ☕ Make time to plan (and make it enjoyable) Getting things out of your head is only half the story. No matter where you put them, if they stay there untouched, they get stagnant and weigh you down. This is where planning comes in. And yes, I’m talking about the weekly review/reset. Again. I know you might see this as boring, but trust me: If there’s one thing I’ve learned in my almost 40 years on this planet, the boring, repetitive stuff is where the compounding magic is. For me, a weekly reset is a slightly indulgent time. A cup of something delicious. A bit of space. A chance to look at what’s coming up and deliberately decide what to do about it. A weekly reset keeps your task list fresh. Without it, you run the risk of stagnation, but we want that list to flow. It’s the habit that transforms you into the colleague who submits the document two days early, or the parent in the group chat who reminds everyone else it’s silly hair day on Wednesday. It’s about being proactive about your time, instead of reactive. A weekly reset gives you 52 fresh starts a year. Imagine what you could achieve with that level of intention. If you want to know more about what’s involved in my own weekly reset, I’ve made a video about that on Todoist’s YouTube channel. --- ### 🎨 You don’t need to change your life to change your life Last year, I often fell into a trap I know many of you will recognize. I kept waiting for the perfect conditions to make progress. Long, uninterrupted afternoons. Clear desks. Empty houses. Big, sprawling stretches of time where I could finally *get into it*. They rarely arrived. What did happen were micro-moments. Ten minutes here. Twenty minutes there. Small pockets of time that I dismissed as “not enough” until I started using them. * I learned a new painting technique in 10 minutes. * I fixed a broken kitchen shelf in 20. * I taught myself the basics of “Carol of the Bells” on piano while a sticky toffee pudding cooked in the oven. Many things don’t take as long as we think they do. And most progress doesn’t require a life overhaul, just a willingness to start where you are, imperfect conditions and all. So the time you find yourself with a little pocket of free time, take a micro-moment to do something you’ll feel smug about later. It does wonders for your self-esteem. --- To recap: * Plan your year throughout January * Pick one place to get everything out of your head * Plan your time weekly * Take advantage of micro-moments Implement one or all of these, and I have faith that you can tackle anything (both cheerful and challenging) this year throws your way. "Little by little, a little becomes a lot." Tanzanian proverb ### 💡 Todoist Tip According to last month’s reader survey (thank you for your kind responses 🫶), you want us to continue with the chatty nature of the newsletters, and you’d like me to bolt on a tip on how to get the most out of your Todoist. Your wish is my command; 🧞‍♀️ consider this a new recurring section. Want to get faster at navigating your Todoist from a keyboard? There’s an expanding variety of keyboard shortcuts on the Todoist desktop apps. Open any project or view in Todoist, then select `?` on macOS, web, and Windows to see the full list. Technically, `?` is the shortcut to learn the rest of the shortcuts. 😏 A handy one to have in your back pocket. --- And just like that, a new year begins. I’d insert an inspirational parting message, but really, only you know what you want to get out of your 2026. And we’re cheering you on. Naomi (🙋‍♀️ real human) and the Todoist team --- to get productivity inspiration & tactical advice that’s actually useful (and free). Sent on the 1st of each month. 💌 #### Jennifer Trumbore [3d](https://todoist.substack.com/p/january-set-yourself-up/comment/193892844 "Jan 1, 2026, 1:35 PM") Thank you for the thoughts - very practical and helpful! I wonder if there is a shortcut on mobile devices to get to Ramble quicker? I always think up the best things to do when I'm drivi

📈 January: Set Yourself Up ### Four realistic tips for 2026, with a dose of honest New Year energy Naomi from Todoist Jan 01, 2026 #### Happy 2026. 🥂 I don’t plan to waste your time with saccharine “New Year, New Me” content. Fresh starts are phenomenal. I love them. But I also want you to succeed at whatever you want your 2026 to look like. And most “New Year, New Me” advice falls short of empowering you to make that happen. So here are four things that I know to be true and that I believe will propel you forward this year, way faster than any “first month free” gym membership or green powder subscription will. It’s the scaffolding I’m using for my own 2026 plans. Without further ado … --- ### 💆‍♀️ Take the whole of January Every year around this time, most of the world seems to agree that the first of January is the moment you’re supposed to be ready. Your goals should be locked in, your habits decided, and your game plan set. Off you go. I’ve never quite bought into that. For as long as I can remember, I’ve taken the whole of January to figure things out. Not because I’m indecisive, but because I’ve learned (the hard way) that urgency is a terrible environment for good decisions. One rushed day of planning rarely beats a few weeks of taking stock, adjusting, and setting myself up properly. Honestly? Starting in February is underrated. The gyms are quieter. Most people have already forgotten what they promised themselves. And there’s something about the rebellion of improving my life on my own timeline that appeals to me. So take your sweet time. One month of unhurried preparation, habit forming, and tapping into what you *really* want, will set you up for eleven months of sustained energy and focus better than a first-of-January outburst ever will. --- ### 🥴 Stop overloading your brain If there’s one thing that reliably derails any good intention, it’s overwhelm. * The thoughts that pop up while brushing your teeth. * The idea that arrives mid-conversation. * The reminder that appears just as you’re about to fall asleep. You feel the urge to *write that down* – but it ends up on the back of an envelope, buried in Notes, or lost to the abyss of “I’ll remember this later.” (You won’t). Over time, those loose ends pile up as low-level background stress. Your brain keeps nudging you because it doesn’t trust that anything important is being looked after. Feeling organized has very little to do with color-coded systems or perfect plans. It’s basically all about trust. And your brain loves to trust a single source of truth. So pick **one** place to park those thoughts. And use it every day. It can be anywhere. A single notepad will do. As you’ll know, for me, it’s Todoist. And even more so now that we’ve released the feature, Ramble. Speaking messy thoughts and watching Ramble magically transform them into tasks is the catharsis I didn’t know I needed. I recently posted an impromptu video on LinkedIn of how I use it to plan the weekend’s meals; it’s a kinda show-don’t-tell feature. Just pick one place to offload your mental chatter, that’s the takeaway. And stick with it. Once you start to trust that system, you’ll reach a greater level of peace. --- ### ☕ Make time to plan (and make it enjoyable) Getting things out of your head is only half the story. No matter where you put them, if they stay there untouched, they get stagnant and weigh you down. This is where planning comes in. And yes, I’m talking about the weekly review/reset. Again. I know you might see this as boring, but trust me: If there’s one thing I’ve learned in my almost 40 years on this planet, the boring, repetitive stuff is where the compounding magic is. For me, a weekly reset is a slightly indulgent time. A cup of something delicious. A bit of space. A chance to look at what’s coming up and deliberately decide what to do about it. A weekly reset keeps your task list fresh. Without it, you run the risk of stagnation, but we want that list to flow. It’s the habit that transforms you into the colleague who submits the document two days early, or the parent in the group chat who reminds everyone else it’s silly hair day on Wednesday. It’s about being proactive about your time, instead of reactive. A weekly reset gives you 52 fresh starts a year. Imagine what you could achieve with that level of intention. If you want to know more about what’s involved in my own weekly reset, I’ve made a video about that on Todoist’s YouTube channel. --- ### 🎨 You don’t need to change your life to change your life Last year, I often fell into a trap I know many of you will recognize. I kept waiting for the perfect conditions to make progress. Long, uninterrupted afternoons. Clear desks. Empty houses. Big, sprawling stretches of time where I could finally *get into it*. They rarely arrived. What did happen were micro-moments. Ten minutes here. Twenty minutes there. Small pockets of time that I dismissed as “not enough” until I started using them. * I learned a new painting technique in 10 minutes. * I fixed a broken kitchen shelf in 20. * I taught myself the basics of “Carol of the Bells” on piano while a sticky toffee pudding cooked in the oven. Many things don’t take as long as we think they do. And most progress doesn’t require a life overhaul, just a willingness to start where you are, imperfect conditions and all. So the time you find yourself with a little pocket of free time, take a micro-moment to do something you’ll feel smug about later. It does wonders for your self-esteem. --- To recap: * Plan your year throughout January * Pick one place to get everything out of your head * Plan your time weekly * Take advantage of micro-moments Implement one or all of these, and I have faith that you can tackle anything (both cheerful and challenging) this year throws your way. "Little by little, a little becomes a lot." Tanzanian proverb ### 💡 Todoist Tip According to last month’s reader survey (thank you for your kind responses 🫶), you want us to continue with the chatty nature of the newsletters, and you’d like me to bolt on a tip on how to get the most out of your Todoist. Your wish is my command; 🧞‍♀️ consider this a new recurring section. Want to get faster at navigating your Todoist from a keyboard? There’s an expanding variety of keyboard shortcuts on the Todoist desktop apps. Open any project or view in Todoist, then select `?` on macOS, web, and Windows to see the full list. Technically, `?` is the shortcut to learn the rest of the shortcuts. 😏 A handy one to have in your back pocket. --- And just like that, a new year begins. I’d insert an inspirational parting message, but really, only you know what you want to get out of your 2026. And we’re cheering you on. Naomi (🙋‍♀️ real human) and the Todoist team --- to get productivity inspiration & tactical advice that’s actually useful (and free). Sent on the 1st of each month. 💌 #### Jennifer Trumbore [3d](https://todoist.substack.com/p/january-set-yourself-up/comment/193892844 "Jan 1, 2026, 1:35 PM") Thank you for the thoughts - very practical and helpful! I wonder if there is a shortcut on mobile devices to get to Ramble quicker? I always think up the best things to do when I'm drivi

😅 March: Lost - by Naomi from Todoist - Todoist Newsletter

😅 March: Lost - by Naomi from Todoist - Todoist Newsletter

🤷‍♀️August: It’s just you ### Time to read: 5 mins Naomi from Todoist Aug 01, 2024 **In , we reframed productivity by focusing on time well spent rather than the number of tasks you complete.** It must have struck a chord because I have never received *so many* responses. We’ll have plenty to talk about over the coming months as we pull on the thread of toxic productivity... One of the themes that has emerged was a concern for the opinion of others. Many of your responses noted a feeling of being weighed down, worried that everyone is watching, judging how productive you are. Well, here's a liberating thought: No one cares. At least not as much as you think. --- ### 🤔 The gym realization Recently, I returned to the gym after a too-long post-surgery hiatus. (The doc gave me the all-clear six weeks ago, but 🤫 shhhh, nobody needs to know.) As with anything, falling out of practice led to some trepidation about getting back into it. However, as soon as I stepped onto the gym floor, I realized something profound: no one actually cares. No one cares about my millennial ankle socks or that I bailed on my last set. They're too busy focusing on their own workouts and lives. They literally and figuratively have their headphones on and are checking their own form in the mirror. You are not on their mind. --- ### 📝 A work example Every Monday, our entire company, CEO included, writes weekly snippets—essentially, the top priorities for the week and what we did or didn’t accomplish the week. Usually, I would post a longgggg comment with a detailed task list. But here are my snippets from last Monday: I was a little apprehensive about posting this super condensed version because *surely* my boss wants to the details. *Surely*, I had simplified it too much. This was the response I received: Brenna doesn’t care about every teeny task on my list. She just wants to know that I’m getting the work done. And by me posting simpler snippets, she has less to decipher and more time to get on with her own workload. Win, win. Turns out, I was spending far too long each Monday trying to prove myself and my workload. --- ### 💡 The takeaway Consider this: in what areas of your life are you overcomplicating things, or worse, holding yourself back because you're worried about what others will think? The truth is, most people aren't paying nearly as much attention to you as you assume. They’re busy navigating their own challenges and focusing on their own goals. You have less to prove than you realize. So, give yourself some grace. Focus on what truly matters to you and find freedom in the realization that most people are too wrapped up in their own lives to scrutinize yours. What you choose to do and how you choose to do it is largely under your control, and the only person you really need to impress is yourself. *“You wouldn’t worry so much about what other’s think of you if you realized how seldom they do.”* **Eleanor Roosevelt** ### Your templates 📌 Did you know that you can now save your own project templates in Todoist? 😍Perfect for any checklist you can think of… Packing lists, party planning, hiring processes, project trackers, gardening checklists, etc. The list goes on! To learn more about how to do it and to see some examples from our team, check out our **What’s New page**. Or let Denise and her calming presence walk you through it in **this video**. (Go ahead and to **our YouTube channel** while you’re at it. 👀) --- ### We’re hiring! 🌏 We have some **roles open** at the moment, from a Finance Analyst to Senior iOS Engineer. If you’d like to work in a fully remote team made up of hard-working and wonderful humans, we’d love you to apply. --- ### Get in touch 💌 Thank you for your responses to the last newsletter. I wish I could get back to all of you. Just know that I read every single email and often share your thoughts with the Todoist team, so please keep’em coming. We love to hear from you. Here’s to a

🤷‍♀️August: It’s just you ### Time to read: 5 mins Naomi from Todoist Aug 01, 2024 **In , we reframed productivity by focusing on time well spent rather than the number of tasks you complete.** It must have struck a chord because I have never received *so many* responses. We’ll have plenty to talk about over the coming months as we pull on the thread of toxic productivity... One of the themes that has emerged was a concern for the opinion of others. Many of your responses noted a feeling of being weighed down, worried that everyone is watching, judging how productive you are. Well, here's a liberating thought: No one cares. At least not as much as you think. --- ### 🤔 The gym realization Recently, I returned to the gym after a too-long post-surgery hiatus. (The doc gave me the all-clear six weeks ago, but 🤫 shhhh, nobody needs to know.) As with anything, falling out of practice led to some trepidation about getting back into it. However, as soon as I stepped onto the gym floor, I realized something profound: no one actually cares. No one cares about my millennial ankle socks or that I bailed on my last set. They're too busy focusing on their own workouts and lives. They literally and figuratively have their headphones on and are checking their own form in the mirror. You are not on their mind. --- ### 📝 A work example Every Monday, our entire company, CEO included, writes weekly snippets—essentially, the top priorities for the week and what we did or didn’t accomplish the week. Usually, I would post a longgggg comment with a detailed task list. But here are my snippets from last Monday: I was a little apprehensive about posting this super condensed version because *surely* my boss wants to the details. *Surely*, I had simplified it too much. This was the response I received: Brenna doesn’t care about every teeny task on my list. She just wants to know that I’m getting the work done. And by me posting simpler snippets, she has less to decipher and more time to get on with her own workload. Win, win. Turns out, I was spending far too long each Monday trying to prove myself and my workload. --- ### 💡 The takeaway Consider this: in what areas of your life are you overcomplicating things, or worse, holding yourself back because you're worried about what others will think? The truth is, most people aren't paying nearly as much attention to you as you assume. They’re busy navigating their own challenges and focusing on their own goals. You have less to prove than you realize. So, give yourself some grace. Focus on what truly matters to you and find freedom in the realization that most people are too wrapped up in their own lives to scrutinize yours. What you choose to do and how you choose to do it is largely under your control, and the only person you really need to impress is yourself. *“You wouldn’t worry so much about what other’s think of you if you realized how seldom they do.”* **Eleanor Roosevelt** ### Your templates 📌 Did you know that you can now save your own project templates in Todoist? 😍Perfect for any checklist you can think of… Packing lists, party planning, hiring processes, project trackers, gardening checklists, etc. The list goes on! To learn more about how to do it and to see some examples from our team, check out our **What’s New page**. Or let Denise and her calming presence walk you through it in **this video**. (Go ahead and to **our YouTube channel** while you’re at it. 👀) --- ### We’re hiring! 🌏 We have some **roles open** at the moment, from a Finance Analyst to Senior iOS Engineer. If you’d like to work in a fully remote team made up of hard-working and wonderful humans, we’d love you to apply. --- ### Get in touch 💌 Thank you for your responses to the last newsletter. I wish I could get back to all of you. Just know that I read every single email and often share your thoughts with the Todoist team, so please keep’em coming. We love to hear from you. Here’s to a

🧘February: Control - by Naomi from Todoist

🧘February: Control - by Naomi from Todoist

1. Spend a fortune on data (Apollo etc.)
2. Pick a niche
3. Create a “meh” offer
4. Write some emails
5. Add some AI personalisation
6. Ask for a reply
7. Set live
8. Pray
9. Get ignored

1. Use AI to scrape and enrich high-quality data for cheap
2. Lead with an “offer they’d be stupid to say no to”