alphawire
6.6K posts
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)
🚨🇺🇸 White House posts a video that explicitly mimics a Call of Duty killstreak. But it is built on real bombing footage from Iran. The post is captioned “Courtesy of the Red, White & Blue.” Interesting... x.com/WhiteHouse/sta…
There is nothing more important than PEACE.
JUSTICE THE AMERICAN WAY. 🇺🇸🔥
“Have you seen the Sydney Sweeney ad?”🗣️