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CommunityCookbooks & Demos71 starsVerified 2026-09-22

Laya vs Jev

A side-by-side T-Rex game where local Laya runs on Apple Silicon through MLX and hosted Jev uses the TypeSafe API, showing choices, latency, survival streaks, and crash replays on one course.

Category
Cookbooks & Demos
Published by
Community
Author
virajbhartiya
Added
2026-09-22
Tagscommunitypythongamesdemoopen-modelsapple-silicon

Highlights

  • A deterministic physics planner labels the moves and the models choose between them; safety checks can override unsafe or stale picks.
  • Assisted scores measure the combined system rather than model skill, and --unassisted disables the safety shields for comparison.
  • Both players finished two published assisted rounds without deaths; ties favor fewer live interventions when distances are equal.
  • Includes staged courses, live latency charts, decision feedback, slow-motion crash replays, and 1080p 30 FPS JSONL replay export.
  • Requires an Apple Silicon Mac, Python 3.11+, uv, downloaded model weights, and a TypeSafe key for Jev.

Quickstart

bash
uv sync --extra demo --extra trex --extra dev
uv run --extra demo hf download aac6fef/laya-multilingual-mlx --local-dir models/hub/laya-multilingual-mlx
cp .env.example .env
uv run --extra trex laya-trex --round-seconds 0 --env-file .env

Watch out

Apache-2.0 with attribution in NOTICE, and Chromium game assets under BSD-3-Clause. Needs an Apple Silicon Mac with Python 3.11+ and uv; weights download separately and Jev calls use your API account.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

Vercel's fx safety reviewer, 18x faster

We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.

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@fazxes

We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice

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