WorldTUI: I trained a 360M model to pretend to be a terminal
Source
simedw.com
Author
alphax314
Date
Why it matters
Shows that a 360M model can emulate a stateful environment (vim, tmux, files) by predicting screen diffs, and which tricks helped: self-repair training and parallel row decoding. Useful for anyone building simulated environments for AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → training.
Terms in this piece · Glossary
fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
