Amit
3K posts
Amit
@amitpr
I write code that works, sometimes @modal
Over 1 billion sandboxes have been launched on Modal. Since launching three years ago, we've seen Modal Sandboxes become foundational to how AI is being built. Today, teams like @Lovable, @tryramp, @cognition and more are using Modal Sandboxes to power everything from coding platforms and background agents to RL infrastructure at scale.
erlang was an incredibly important, influential language in the history of concurrent systems…but present-day Erlang users are really unwilling to admit that the actor model is just an alternative formulation of “locks own data”
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 :)
T-minus two weeks until Taiwan: Rail Rush
