Leonardo Juárez 🦁

Founder & CEO, Trok (used trucks marketplace). Founder, DaftonMedia (Marketing Agency). “To dream the impossible dream”

[chuplung @choopyplug1]

Google DeepMind VP of Research:

"we taught the model to train itself. no human code. no human knowledge. 80% of GitHub is already machine generated. human data ran out"

it creates its own challenges and judges its own answers. models now improve without us. the loop is closed

"we built an entire industry assuming writing code was the hard part. it's now free"

in one year nobody will read code. models generate it. no one looks at it

save this. then read the full article below

[reira @reiraxbt]

Andrej Karpathy spent 8 years at OpenAI and Tesla

Last week, he put everything he knows into one free 2-hour lecture

People pay $15k for bootcamps that teach half of this

You probably don't have 2 hours right now

Don't let this get lost in your feed

Watch it, then read the guide below and build your first loop

[roman @Nozelcode]

GitHub acaba de solucionar el mayor problema del vibe coding.

Acaban de lanzar Spec Kit y en poco tiempo ya tiene +126K estrellas.

¿La idea?

En vez de tirar prompts vagos y rezar para que el agente no rompa tu proyecto…

Spec Kit obliga a la IA a crear una especificación estructurada ANTES de tocar código.

La IA primero entiende lo que quieres construir, pregunta lo que falta, organiza el proyecto y después empieza a programar.

Eso significa menos tiempo arreglando errores absurdos, menos código inconsistente y resultados mucho más predecibles cuando trabajas con agentes.

El flujo es simple:

/constitution → reglas y estándares
/specify → qué quieres construir
/clarify → dudas antes de empezar
/plan → arquitectura y stack
/tasks → tareas ordenadas
/implement → ejecución

Compatible con Claude Code, Cursor, Copilot, Codex, Gemini CLI y +25 agentes.

95K estrellas.
8K forks.
Open source.
Publicado por GitHub.

Enlace al repositorio👇

[Fiction @0xF1ction]

Google CEO Sergey Brin:

"You don't need to write prompts anymore"

In 40 minutes the Google CEO explains why he came out of retirement for AI - and what he thinks is coming next.

It's a rare look at how the person who built Google actually uses AI today.

Watch it, then read the guide below on building agents that work while you sleep.

[Elon Musk @elonmusk]

That was 10 years ago

Imagine 10 years from now

[Mahax @Mahaximus_]

Andrew Ng just dropped a 2-hour course on Graph Engineering: from Loops to full automation

9:14 - Your first agent
33:11 - Loop engineering
1:02:46 - Graph engineering
1:30:15 - Agents that rewrite themselves
1:49:05 - Full graph system

Free, the best thing on graph engineering I've come across

Watch it, then build your first graph with the guide below

[Lunar @LunarResearcher]

Andrej Karpathy just explained the 5 shifts turning LLMs into agentic systems.

00:00 - Memory turns chat into personal AI
06:41 - Multimodal AI reads the world
16:58 - Thinking models solve harder tasks
24:51 - Search makes LLMs live
30:58 - Tools turn LLMs into workers

Most people are still treating LLMs like chatbots.

Karpathy is showing the full stack:

Memory → Vision → Reasoning → Search → Tools

Prompting is the old workflow.

Agentic systems are the new one.

This 40-minute talk is worth more than most paid AI agent courses.

Bookmark and watch it before everyone catches up.

Then read how to turn LLMs into self-improving agent loops below

[Anatoli Kopadze @AnatoliKopadze]

OpenAI CEO, Sam Altman:

"You don't need to write prompts anymore."

In 38 minutes, he explains how to use LLMs better than 99% of people do.

This is the whole difference between using AI and having AI work for you.

Watch it, then read the guide below on how to build a system that prompts itself.

[Roan @RohOnChain]

Don't waste 2 years learning to become an AI agentic engineer in 2026.

Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.

1 hour course. Free:

• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems

I watched it last night.

Halfway through, I realized I could get into Anthropic in weeks, not years.

Bookmark now. Watch it. Then build your own AI agent with the guide below.

[Lumen @lumenxbt]

Ten million people have watched an MIT professor accidentally destroy the executive coaching industry.

He filmed the lecture once in January 2018 and died eighteen months later.

Executive coaches charge fifteen thousand dollars a session to teach a third of what he covered in one hour for free.

His name was Patrick Winston. He ran the MIT Artificial Intelligence Laboratory from 1972 to 1997 and wrote the AI textbook every computer science major in the world read for thirty years.

Every January for four decades, he gave a lecture called "How to Speak."

His entire framework fits on a napkin.

Do not read. Be in the image. Keep images simple. Eliminate clutter. Start with an empathetic connection. End with a punch line the audience can repeat over dinner. Never open with a joke. Never end with "thank you."

That last rule alone has probably cost the executive coaching industry a hundred million dollars.

"Your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas. In that order."

That is the actual opening line of the lecture. Winston believed it strongly enough to spend fifty years teaching computer scientists how to talk.

Founders spend $80,000 on an MBA and then hire a communications coach to teach them the same material Winston filmed once for free. Engineers write brilliant code and lose promotions to teammates who watched this lecture on the train.

The lecture is free on MIT OpenCourseWare. The textbook is free on his page.

Winston died in 2019. Almost none of the ten million viewers have actually implemented the four rules on the napkin.

The napkin is free. The willingness to actually use it in your next meeting is the entire edge.

[Alok Kumar @Alokkumarzz]

Stop relying on short videos to learn how to make money
Ray Dalio explains wealth creation in 42 minutes
More solid than most content

[Elon Musk @elonmusk]

Consistent with the simulation hypothesis.

Like a video game, objects are randomly generated, with positional certainty only when observed.

[lynk @lynk0x]

I never give up - Elon Musk.

[Elon Musk @elonmusk]

Make our Sun sentient to understand the Universe and extend the light of consciousness to the stars

[Elon Musk @elonmusk]

Good interview

[Pravita Panday @pravita_pandey]

A man spends 50 years teaching at MIT.

He knows his time is running out.

So he records one last lecture — everything he knows, distilled into a single hour.

He died 5 months later.

This is that lecture.

The most important hour you'll watch this week. 👇
Bookmark it for later

[Radha Tripathi @Radha_AI]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Rohit @heyrohitai]

🚨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now!

[Elon Musk @elonmusk]

Interview with SpaceX CFO

[Rohit @heyrohitai]

INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.

This 1 hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years.

Bookmark it and give it an hour, no matter what.