YOU CAN NOW TURN ANY PAPER INTO RUNNING CODE 🤯
You can do it by simply swapping arxiv for autoarxiv in the URL
That sends the paper to an AI agent that reads the abstract, clones the linked GitHub repo, and works through the painful parts of reproduction:
→ Broken file paths
→ Dependency rot
→ Unrealistic hardware requirements
It then builds a minimal reproduction, scales the model down, and runs it on a single GPU to test whether the paper’s headline claims actually hold up.
How cool is that?!
You can follow everything live: training progress, loss curves, metrics, and logs.
At the end, you get a clear signal on whether the minimal run works, alongside an estimate of the compute needed for a full replication.
A great, useful way to validate research before committing to an expensive run :)
video credit → @askalphaxiv
Video