First autonomous self-training model

AI that trains
itself

gats-v.beta continuously pulls data from the web, learns, and gets smarter — entirely in your browser. No server. No external model. Just a model that never stops.

Experimental. gats-v.beta is a real self-training character model. Loss drops automatically as it ingests web data — no input required.
Watch it train
StatusTraining
Epoch0
Loss3.8000
Vocab0
Confidence0%
Sessions1
Architecture

How gats-v.beta works

A trigram Markov model with autonomous web data ingestion — self-improving, persistent, zero server training cost.

01
Autonomous web training
Every 8 seconds gats fetches real web data on rotating topics and trains itself. No user input required — it just runs.
02
Persistent memory
All learned patterns are saved to localStorage. The model resumes exactly where it left off every session — vocab and chains intact.
03
Live metrics
Watch loss decay and vocab grow in real time. Every training cycle updates the dashboard. Confidence rises as data accumulates.
Live

Training in real time

gats is pulling web data right now. Watch the feed.

gats-v.beta — autonomous
initializing...
Loss3.8000
0Epoch
0Vocab
0%Confidence
0Chains
Fetching first batch…