@michael_kove@marclou Indeed. Thats what I thought. But I wonder if he does also have a company in Greece for example because otherwise how would that work?
Anthropic's Andrej Karpathy just released 1-hour Stanford lecture on full AI engineering from scratch:
"You can actually delete everything… Delete everything, keep Graph"
here's his lessons:
10% → LLM: I treat GPT as a general-purpose computer that can be reprogrammed at runtime
30% → Prompt: I give that computer a program written in natural language
50% → Agent: I surround the model with a goal, context, memory, and tools that turn prediction into action
70% → Loop: I separate the inner loop, where the model learns from context, from the outer loop, where training updates its weights
100% → Graph: I organize communication as data-dependent message passing over directed graphs
This 1-hour at Stanford will teach you more about AI than 100 YouTube video guides
“Just chop up everything and throw it into the mix”
watch - bookmark, then read the article below ↓
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
my stack to handle a $1m MRR portfolio:
🤖 Claude Code - where I plan and build
👩💻 Cursor - when I need to get in the code
🧠 Mission Control - to build Loops so agents can work while I sleep
🎬 Revid - every demo, ad and video content
📈 Outrank - SEO + AI search on autopilot
📅 PostSyncer - write once, post everywhere
𝕏 SuperX - grow on X with real data
💳 Stripe or Creem - get paid (Creem if taxes scare you)
🤝 Rewardful or Affonso - affiliates = a sales team you don't hire
📣 X - still the only marketing channel that's free
total cost: less than one junior hire's week
What's stopping you?
🚨 Anthropic just showed a 27-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 the session
For $25 and a single GPU, you can now run 100 experiments overnight without designing any of them.
Karpathy open-sourced autoresearch. 42,000 GitHub stars in a week. Fortune called it "The Karpathy Loop."
Every article about it focused on the ML angle. They all missed the bigger story. The pattern underneath works on anything you can score with a number. Ad copy, cold emails, video scripts, job posts, skill files.
Three files. One the agent edits. One it can never touch. One instruction file from you. Each cycle takes 5 minutes. Score went up? Git commit. Score went down? Git reset. Twelve cycles per hour. A hundred overnight.
Karpathy ran it on code he'd already optimized by hand for months. The agent found 20 improvements he'd missed. 11% faster. Tobi Lutke pointed it at Shopify's Liquid templating engine. 53% faster rendering from 93 automated commits.
I spent two weeks pulling the system apart. Today's guide shows you how to use it on the things you actually make every day. Six use cases, the three-step setup, and the eval mistakes that kill runs before they start.
Full guide: https://t.co/CbJSXRXRKh
I'm not the only one doing this.
- karpathy
best thought leader, best person to learn from imo. Nanochat is the best way to get into training LLMs its the simplest and most digestible source for building your first AI model
- steipete
This guys GitHub is a national treasure, his writing is also very strong. Peekaboo, https://t.co/u0cve9Ukze, openclaw, oracle, just talk to it, etc.. all unique and very useful
- badlogicgames
Mario’s Pi is a staple AI engine and possibly the best, simplest, open source agentic loop to learn from. Despite what people say about his methods, I think he’s going to set some new standards for Open source contribution. Big respect.
- TheAhmadOsman
This man is the GPU king, giveaways and lots of dense educational content around self hosting and home inference. He’s also tight with pretty much all the open weight labs and has them on for interviews regularly
- sudoingX
This is an up and comer who will change the game, he's pushing the limits of what a single gpu can do
- Ex0byt
I can confidently say this man will be fundamental in making local inference on massive models possible.
- alexinexxx
I genuinely feel motivated by her drive. She’s a real hard worker learning about GPU kernel programming. Also good aesthetics
- gospaceport
I would not have gotten into building my own hardware without this man’s hard work. He’s taught me so much about hardware and the economics of this. He also has the most impressive homelabs I’ve ever seen.
- alexocheema
The founder of Exolabs, pioneering Apple hardware inference, he’s also very engaged in the community and a good guy all around. If you are interested in Mac minis and Mac Studios this is your guys.
- nummanali
This guy is so prolific, he’s made tons of CLI tools for managing llm subscription budgets, using Claude code with alternative models etc..
- thdxr
The entire Opencode team is wonderful but Dax specifically is a good writer. More anti-doomer content to sooth your anxieties.
- juliarturc
If you are interested in the science, Julias channel is where it’s at. Almost everything I’ve learned about LLM compression has been from her.
- Teknium
The Nous research & Prime intellect teams are both some of the most hard-working and principled people around. Tough fight in an industry so aggressive.
- victormustar
Head of Product for Huggingface, enabling us all to publish our work.
- louszbd
Head of community at ZAI some of the top LLMs available right now that are open weights. They supercharged the movement
- SkylerMiao7
Making frontier intelligence fit on 10k USD of hardware. Via MiniMax
- crystalsssup
Building the best Open Weight model on the market, and releasing their latest research before their next gen model.
Believe it or not these people are carrying the entire industry and giving us a fighting chance.
I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!
People often call what I've built a "lifestyle business" and mean it as an insult.
Turns out, it's significantly more profitable than most startups, and I still get to eat lunch with my wife every day.
Don't listen to haters. Just build your business.