D'Lesmes

Data Science Engineer | AI Developer | ML Engineer | Data Scientist | Energy Market Analyst | Entrepreneur | Industrial Engineer

[Carlos Santana @DotCSV]

🚨 ¡OFICIAL E HISTÓRICO! 🚨

OPENAI DECLARA HABER RESUELTO UNO DE LOS PROBLEMAS DEL MILENIO -NAVIER STOKES-, UNO DE LOS PROBLEMAS MÁS IMPORTANTES EN LA FRONTERA DE LAS MATEMÁTICAS

[Mahax @Mahaximus_]

Head of Claude Code, Boris Cherny:

"You're not supposed to write code anymore. You're supposed to build a graph that writes itself."

In 30 minutes he breaks down how engineers at Anthropic build graphs that write the code, catch the bugs, and ships.

Most engineers build agents, almost none of them wire those agents into something that runs without them

Watch it, then read the full guide on graph engineering below.

[Lunar @LunarResearcher]

Google just released the best free 1-hour course on Graph Engineering

From one agent to a full system that can run 24/7:

0% → 00:00 - understand what graphs actually are
25% → 09:16 - build your first AI agent
50% → 21:15 - learn how graph engineering works
75% → 41:03 - put graph engineering into practice
100% → 52:21 - build self-improving graphs

Free, and probably the best thing on Graph Engineering I've come across

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

[Lunar @LunarResearcher]

https://t.co/X1bBruM26X

[Kyrox @kyr0stack]

Sam Altman (CEO of OpenAI):

"You don't need to write prompts anymore. You need loops and graphs that write them for you."

In 77 minutes he explains how to use LLMs better than almost anyone does

Prompts → Agents → Loops → Graphs

skip a layer and it comes back as a failure you blame on the model

by the time you find it the week is already gone

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

watch it today, then save the full graph engineering guide below ↓

[Mahax @Mahaximus_]

Google just released the best 1-hour course on Graph Engineering: from single agent to a full 24/7 system

00:00 - What Graphs are
09:16 - Build an agent
21:15 - Graph engineering explained
41:03 - Graph engineering practice
52:21 - Self improving Graphs

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

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

[Ichigo @iiiichigo_chan]

Andrew Ng just released a free 2-hour course on complete Harness Engineering

How to go from one prompt to a reliable system of agents that can run, test, and improve themselves:

09:14 - Build your first agent from scratch
33:11 - Master agent loops
1:02:46 - Turn loops into reliable workflows
1:30:15 - Build agents that improve their own work
1:49:05 - Run the complete system without supervision

Model → Harness → Reliable Software

Most agent tutorials stop once the model can call a tool

This one shows you how to build the infrastructure around it within the first 20 minutes

Most people are still prompting one agent at a time

Andrew Ng is already teaching the layer above:

Harnesses that give agents context, tools, tests, and feedback

Watch this brilliant course and build the harness

Then read the full architecture below ↓

[Diego Duque @diegoduque21]

Informe @GOYNBogota muestra grandes avances:

✅ Disminución tasa de desempleo joven: 17,1% a 13,6%
✅ Disminución jóvenes que no estudian ni trabajan 304K a 266k
📍 Más informalidad y brechas en migrantes y discapacidad.

@DistritoJoven_ Reforzaremos para seguir avanzando.

[Kyrox @kyr0stack]

Andrej Karpathy spent 8 years at OpenAI and Tesla

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

Agents → Loops → Harness → Graphs

People spend $15k on bootcamps that teach less than this

You probably don't have 2 hours right now

Don't let it vanish from your feed

Watch it, then read the graph engineering guide below

[D'Lesmes @Diallero]

@DrAryan93917 @Mirjalolfl @suni_code GenAI*

[rari @0xwhrrari]

Anthropic hired this engineer at $250K-$750K a year because he knows how to build harnesses for multi-agent systems

In this 15-minute workshop, he shows exactly how to build one from scratch

AI → Agents → Harness → Loops → Graphs

step 1 → start with the Claude Agent SDK - the harness handles loops, context, and sandboxing

step 2 → separate the brain from the hands - reasoning in one place, tools in a sandbox, 60% faster to first token

step 3 → run it server-side and log every step - close your laptop and it keeps running, crashes resume from the log

step 4 → make failure cheap - retry dead sandboxes and replay lost context instead of starting over

step 5 → turn yesterday's logs into new memory and skills - the harness wakes up smarter

Anthropic calls this "dreaming"

Most people spend weeks building this by hand

You don't have to

Bookmark and watch it

Then read the full harness engineering guide below ↓

[Carlos Santana @DotCSV]

🔴 ¡¡OPENAI ANUNCIA GPT-6!!

El nuevo modelo GPT-6 Astra ya está aquí, con un salto en capacidades MUY sorprendente!

Os iré desglosando y analizando todos los detalles en este hilo 👇🧵

¡deja tu RT para apoyar!

[yash.jsx @yashmp2004]

Believe me :)

The only teachers you need in 2026

[Lunar @LunarResearcher]

Andrew Ng just released a 2-hour course on full Graph Engineering.

How to go from one prompt to 100 agents that loop, improve themselves, and run without you:

0% → 09:14 - build your first AI agent
25% → 33:11 - run agents with loop engineering
50% → 1:02:46 - turn agent loops into graphs
75% → 1:30:15 - build agents that rewrite themselves
100% → 1:49:05 - run the entire graph system without you

Most people are still building one agent and calling it done.

Andrew Ng is already teaching what comes next:

Prompt → Agents → Loops → Graphs → Self-Improving Systems

Single agents are the old workflow.

Systems that improve and run without you are the next one.

This 2-hour course is worth more than most $500 agent engineering courses.

Bookmark it and watch before everyone starts catching up.

Then read how to run 1,000 agents from one prompt below ↓

[Lunar @LunarResearcher]

Anthropic hired this engineer at $250K-$750K/year because he knows how to build knowledge graphs for multi-agent systems

In this 15-minute workshop, he shows exactly how to build one with loops from scratch

step 1 → start with the Claude Agent SDK - loop, context, and sandbox are already handled

step 2 → separate the brain from the hands - reasoning in one place, tools in a sandbox, ~60% faster to first token

step 3 → run it server-side and log every step - close your laptop and it keeps running, crashes resume from the log

step 4 → make failure cheap - retry dead sandboxes and replay lost context instead of starting from scratch

step 5 → turn yesterday's logs into new memory and skills - it wakes up smarter

Anthropic calls this "dreaming"

Most people spend weeks building this by hand

You don't have to

Watch it, bookmark it, then read the full graph guide below ↓

[Sam Altman @sama]

this is a critically important moment for cyber defense with AI; there is not much time to act.

we are happy if you want to work with us or any of our competitors or partners, but please take this moment seriously.

only an urgent and intense collective response will work.

[Freddy Vega @freddier]

PLATZICONF
AUG 29

10:00 am 🇨🇴 🇵🇪 🇪🇨 🇵🇦
9:00 am 🇲🇽 🇬🇹 🇸🇻 🇨🇷 🇭🇳 🇳🇮
11:00 am 🇨🇱 🇧🇴 🇩🇴 🇻🇪 🇨🇺
12:00 pm 🇦🇷 🇺🇾 🇵🇾
17H 🇪🇸
8:00 am 🇺🇸 PT

[CopyRebeldia @CopyRebeldia]

Así se ve un sueldo de 750.000 dólares al año: un tipo en camiseta blanca, un pizarrón y 2 horas y media.

Stanford, CS336. Percy Liang construye un LLM desde cero. Lo que hay debajo de Claude y ChatGPT, y arranca por la parte que todos saltan: el modelo no lee tu texto, lee números.

Anthropic paga ese sueldo a los ingenieros que entienden esa capa.

Lo único que cobra Stanford son 2 horas y media de tu atención.

[Cory House @housecor]

Roles are collapsing.

If you're a "Software Engineer" today, you may be a "Product Engineer" soon - with many more responsibilities.

So:
- Learn design/UX/QA/PM skills.
- Focus more on the user, and less on the syntax.

Image via Gartner.

[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