I created documentation over Claude Code's Codebase, which explains
- Its pipeline
- How it works
- How it handles Context
- How it handles Memory
& More
Read it here - https://t.co/GngrSvWAmh
Instead of downloading and unzipping the whole codebase, here’s a detailed, structured view of every file and folder so you can explore it like a product, not a zip dump:
https://t.co/3qpml5mGfa
The next version of Paperclip AI https://t.co/Fct4vKe9tz is going to have middle management, Zoom meetings, and the employees will commute to work #AI#AIAgents#LLM#FutureOfWork
It's over. Karpathy just open-sourced an autonomous AI researcher that runs 100 experiments while you sleep.
You don't write the training code anymore.
You write a prompt that tells an AI agent how to think about research.
The agent edits the code, trains a small language model for exactly five minutes, checks the score, keeps or discards the result, and loops. All night. No human in the loop.
That fixed five-minute clock is the quiet genius. No matter what the agent changes, the network size, the learning rate, the entire architecture, every run gets compared on equal footing. This turns open-ended research into a game with a clear score:
- 12 experiments per hour, ~100 overnight
- Validation loss measures how well the model predicts unseen text
- Lower score wins, everything else is fair game
The agent touches one Python file containing the full training recipe. You never open it. Instead, you program a markdown file that shapes the agent's research strategy.
Your job becomes programming the programmer, and this unlocks a strange new loop:
1. Agents run real experiments without supervision
2. Prompt quality becomes the bottleneck, not researcher hours
3. Results auto-optimize for your specific hardware
4. Anyone with one GPU can run a research lab overnight
The best AI labs won't just have the most compute.
They'll have the best instructions for agents who never sleep, never forget a failed experiment, and never stop iterating.
Autonomous cars have a gigantic moat of bureaucracy to overcome. Most other jobs don't. The "autonomous cars" argument is somehow still used in 2026 as proof AI won't replace jobs, and it's just as wrong today as it was in 2016. #AI#AGI#FutureOfWork#Automation#AIJobs
The age of perfectionism is dead, and that's not necessarily a bad thing. Code was always ephemeral, now with AI coding, it's getting old in days instead of years.
#AI#Coding#AIcoding#SoftwareDevelopment#DevLife
Multiplayer games in the age of AI is like competing in athletics using snail mail.
“Dear honest competitors, I have just ran 100 meters in 9 seconds. Guess I’m the winner, Regards” #AI#gaming
https://t.co/PTlBx4Fbqz