Si solo pudieras ver UNA clase de negocios en toda tu vida…
que sea esta.
41 minutos de Peter Thiel en Stanford que destrozan cualquier curso de miles de dólares.
Olvídate de los consejos reciclados que repiten todos los “gurús”.
Aquí Thiel habla sin filtros y sin anestesia:
→ Cómo construir un monopolio desde cero
→ Por qué competir es la forma más rápida de matar tu empresa
→ Qué hicieron realmente Google, PayPal y Facebook para dominar sus mercados
He leído libros enteros de estrategia que no concentran ni la mitad del valor que dan los primeros 15 minutos de esta charla.
Y lo mejor: es completamente gratis.
No importa si estás creando una startup, escalando un negocio o solo quieres pensar como los que realmente ganan…
Después de verla vas a mirar cualquier empresa con otros ojos.
Guárdala.
Vas a volver a ella más de una vez.
Anthropic just dropped 1-hour workshop on loop engineering: 1 spec → the loop → 200 features from 0% to 100%:
• 10% → 5:31 - Building memory for agentic loops
• 30% → 8:22 - Four files for each Loop: features.json, standards.md, progress.md, https://t.co/5NAMoW2mlS
• 55% → 11:02 - The Loop: check environment → run tests → pick feature → build → test → commit
• 80% → 13:06 - one feature per loop. try everything at once and context dies mid-build
• 100% → 33:03 - MVP in 1 hour, every next loop under 30 minutes
most people build an agent that finishes a task -Anthropic ships agentic loops that can run for days without you.
watch it today - then read the full loop engineering playbook below ↓
🚨 Google has launched a free 2-hour course to learn Graph Engineering from scratch.
It starts with building your first Agent, then Loops, followed by Graphs and fully integrated Multi-Agent systems.
Don't settle for building just one Agent… learn how to build a complete ecosystem.
Watch the full course .
Sam Altman (CEO of OpenAI):
"You no longer need to write prompts."
In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine.
It's a talk he gave to Stanford students. A friend sent me the recording last night.
After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.
Watch it in full and then read the guide I leave below on how to create a system that prompts itself.
Follow @AnishJaitwar for more
Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture, which 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.
Don't waste 2 years learning to build self-improving AI agents.
Stanford just dropped a 3 hour course on building AI agents from scratch.
• 00:00 - self-improving AI agent basics
• 1:07:24 - multi-step reasoning in AI agents
• 2:22:04 - AI agents learning from feedback
Anthropic pays $750,000/year to AI engineers who master this exact knowledge of building AI agents.
Bookmark this & watch, no matter what. It’ll be the most productive start for your week. Then read article below.
Free 3-hour course from an ex-Google engineer. AI agents, graph engineering, harness, agent loops. Covers more than most $500 paid courses.
This is the exact playbook to learn how to actually build and monetize AI agents. Don't miss your shot, save it now.
• 0:00 - Design an AI agent system from scratch
• 7:38 - When your agent should hand off to a human
• 19:27 - RAG and vector databases explained simply
• 52:38 - Deploy your AI agent to Google Cloud
• 1:25:57 - Turn AI agents into a paid business via WhatsApp
• 1:33:00 - Turn conversations into real leads automatically
• 2:24:01 - Loop engineering vs graphs, the real difference
• 2:33:08 - Build your own multi-tool agent graph
Save this video, because it's the only one that can actually take you to your $2,000+ profit.
🚨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.
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
Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch.
This 2-hour Stanford lecture gives you the exact pipeline LLM engineers get paid $750K/year for.
Data + architecture + scaling laws + post-training.
Bookmark it & watch today.
She built 100+ agents for Anthropic and made $1.3M - and in 60 minutes leaked everything she knows at Stanford:
02:07 - her first agent for Anthropic brought her $1.3M
08:34 - agents replace a team of 50 engineers worth $200k a month
19:47 - one agent did overnight what the company planned for 5 years
after watching I launched my first agent - $7k in the first week and zero employees needed.
Save & watch - the article below is step by step how to build your first agent like hers.
It's so petty that Claude still refuses to look for skills in ~/.agents/skills. Every time I hit this, I deduct 5 goodwill points from the Anthropic account.
Don't waste 2 years learning to build LLMs like Claude & ChatGPT.
Stanford just dropped a 2 hour 34 min course on how to build LLMs from scratch.
• 00:00 - LLM tokenization
• 25:44 - how LLMs decode user prompts
• 35:40 - training pipeline of LLMs
• 1:16:47 - LLM architecture from scratch
Anthropic pays $750,000/year to engineers who understand this exact knowledge of LLMs.
Bookmark this & give 2 hours today, no matter what. Then read the article below.
If you’re a hardcore software engineer and want to build the everything app, please join us by sending your best work to [email protected].
We don’t care where you went to school or even whether you went to school or what “big name” company you worked at.
Just show us your code.