📰 IA NEWS
DataBites
2026-03-28T07:17:59-03:00
Por Josep Ferrer
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_
📰 IA NEWS
DataBites
2026-03-28T07:17:59-03:00
Por Josep Ferrer
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_
📰 IA NEWS
DataBites
2026-03-28T07:17:51-03:00
Por Josep Ferrer
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
📰 IA NEWS
DataBites
2026-03-28T07:17:44-03:00
Por Josep Ferrer
📰 IA NEWS
DataBites
2026-03-28T07:17:37-03:00
Por Josep Ferrer
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_
🔬 IA RESEARCH
DataBites
2026-03-28T07:17:29-03:00
Por Josep Ferrer
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
📰 IA NEWS
DataBites
2026-03-28T07:17:22-03:00
Por Josep Ferrer
🔬 IA RESEARCH
DataBites
2026-03-28T07:17:15-03:00
Por Josep Ferrer
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
📰 IA NEWS
DataBites
2026-03-28T07:17:07-03:00
Por Josep Ferrer
📰 IA NEWS
DataBites
2026-03-28T07:17:00-03:00
Por Josep Ferrer
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
📰 IA NEWS
DataBites
2026-03-28T07:16:38-03:00
Por Josep Ferrer
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.
📰 IA NEWS
DataBites
2026-03-28T07:16:22-03:00
Por Josep Ferrer
🔬 IA RESEARCH
DataBites
2026-03-28T07:16:11-03:00
Por Josep Ferrer
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
📰 IA NEWS
DataBites
2026-03-28T07:16:04-03:00
Por Josep Ferrer
📰 IA NEWS
DataBites
2026-03-28T07:15:50-03:00
Por Josep Ferrer
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
🔬 IA RESEARCH
DataBites
2026-03-28T07:15:43-03:00
Por Josep Ferrer
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
📰 IA NEWS
Cartas ao Condado
2026-03-28T07:13:52-03:00
Por Elton Luiz
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
📰 IA NEWS
Cartas ao Condado
2026-03-28T07:13:52-03:00
Por Elton Luiz
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
📰 IA NEWS
Cartas ao Condado
2026-03-28T07:13:51-03:00
Por Elton Luiz
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
📰 IA NEWS
Cartas ao Condado
2026-03-28T07:13:51-03:00
Por Elton Luiz
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
📰 IA NEWS
Cartas ao Condado
2026-03-28T07:13:50-03:00
Por Cartas ao Condado
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
📰 IA NEWS
Cartas ao Condado
2026-03-28T07:13:46-03:00
Por Cartas ao Condado
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
🔬 IA RESEARCH
Build AI product sense by using AI agents for real work
2026-03-28T07:11:19-03:00
Por Tal Raviv
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
🔬 IA RESEARCH
AwesomeNeuron
2026-03-28T07:07:32-03:00
Por Rohit Kumar Tiwari
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
🔬 IA RESEARCH
AI Search
2026-03-28T07:03:58-03:00
Por AI Search
[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.
🔬 IA RESEARCH
AI Search
2026-03-28T07:03:56-03:00
Por AI Search
[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
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:31-03:00
Por Prof. Tom Yeh
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
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:30-03:00
Por Prof. Tom Yeh
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
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:30-03:00
Por Prof. Tom Yeh
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
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:29-03:00
Por Prof. Tom Yeh
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? **
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:29-03:00
Por Prof. Tom Yeh
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
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:28-03:00
Por Prof. Tom Yeh
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
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:28-03:00
Por Prof. Tom Yeh
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
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AI by Hand ✍️
2026-03-28T07:01:28-03:00
Por Prof. Tom Yeh
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
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:27-03:00
Por Prof. Tom Yeh
[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?
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:27-03:00
Por Prof. Tom Yeh
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
📰 IA NEWS
AI by Hand ✍️
2026-03-28T07:01:25-03:00
Por Prof. Tom Yeh
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
🔬 IA RESEARCH
Agentic AI
2026-03-28T07:00:35-03:00
Por 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.