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laya-vs-jev

Laya vs Jev: local MLX and hosted AI decisions playing T-Rex side by side, with live metrics and replay recording

115 ★ on GitHub

What it is

Two AI decision models play Chrome's T-Rex game side by side: Laya runs locally on Apple Silicon through MLX, while Jev uses TypeSafe's hosted API. Watch their choices, response times, survival streaks, and crash replays on a shared obstacle course.

What the README says it does

  • choice: probabilities over named options.
  • score: probabilities over ordered rubric levels and their expected score.
  • noul: P(true) for a proposition.

From the project’s README.

Getting started

From the README:

pip install laya-mlx

Where the decision sits

laya-vs-jev calls the hosted decision API rather than running its own weights. That keeps the project small and means its behaviour moves whenever the vendor ships a new model version. It also means an API key and a network round trip sit in the path of every decision.

Models it references: Jev, laya-typed-decisions, laya-mlx, laya-multilingual-mlx, laya-multilingual, laya-typed-decisions-mlx, laya-typed-decisions, laya.

How active it is

Created 2026-09-21, last pushed 2026-09-21, 115 stars and 12 forks when we read it on 2026-11-02. Everything in this category is weeks old at most, so a stale push date means something different here than it would on a mature project. Check the repository before you depend on it.

Find out what your data actually supports

We turn your historical decisions into a frozen test set, then tell you which model, which threshold, and how much of it you can safely automate.