Laya vs Jev Arena: a Snake race and a fighting game
Both models get identical inputs and questions in unscripted matches, as shown in a Prompt Engineer video; only the model changes.
BUILDS
Agents, routers, scorers and games — built on models that decide. Every entry links to the models it uses, so you can pull the same one and start from there.
113 builds · page 3 of 5
Both models get identical inputs and questions in unscripted matches, as shown in a Prompt Engineer video; only the model changes.
Viraj Bhartiya ran Laya locally on MLX and Jev over its API on the same T-Rex track and physics.
Hope set up a first-to-five 1v1: Jev's calls were sharper, while Laya decided about twice as often.
With the network off, local Laya made 86.4 decisions a second from a 1 GB footprint while the API-bound Jev managed 3.2.
atomic.chat pitted Laya on a 16 GB MacBook Air against Jev's API; the local model decided about 11× faster.
Tokenizer, encoder and decision head for the 322M multilingual checkpoint in one binary, with no Python, torch or BLAS.
A Java 17+ port with typed questions, a script-detecting router that picks the right checkpoint, and model downloads from the Hugging Face Hub.
Diffs the PR against main, asks one semantic yes/no per spec and runs just the affected tests, judged by a hosted or self-hosted Laya.
Mansour Raad's experiment: Laya alone landed 0 of 90 attempts; with model-predictive control overruling a small share of moves, 90 of 90.
Arcade physics, a browser flight recorder and a Laya checkpoint fine-tuned on CUDA that landed every held-out flight when run on MLX.
Aaron Edell compared laya-mlx with a hosted Jev tier and made the case for a Laya-first cascade.
soybelli connected Pac-Man to the model on Apple Silicon, with a live view of action probabilities, latency and tactical planning.
Astrid's Postgres extension, written in Rust on Candle, runs the model in the database so a typed decision is a SQL call.
Tom Siwik argues that framing the decision space and batching matter more than the model: over the network Jev wins, locally the two tie.
Typed questions against Jev, OpenRouter, Laya or cross-encoders, with a confidence policy that moves to the next backend on errors or low confidence.
Daniel Tremer's agent plays Hordes.io from screenshots: Apple Vision reads the screen, Qwen on MLX plans and Laya on Core ML makes each decision.
Akihito Koriyama's Semantic Browser follows HAL links by their ALPS semantics, with Laya-MLX giving each link a probability.
yankis's video runs Nimble, Decider, OpenJev, Laya and others through the same JevBench scoring; Laya finishes last.
A Chromium extension for X, LinkedIn and Reddit that scores posts locally through a Laya-MLX helper.
Simplifying AI ran the same game and questions on both models; Laya made 86.5 decisions a second against the API's 3.2.
Tobias ran all three on a low-memory MacBook: Jev won on quality, the local models on speed and cost.
Fourteen PostgreSQL statements, half with deliberate bugs such as fan-out sums, = NULL and UPDATE without WHERE, each reviewed with four typed questions.
Sai Dutta's head-to-head: Jev leads on triage, guardrails, moderation and multilingual intent, while Laya wins on AG News.
Tony Dinh ran laya-mlx at about 84 ms per decision against Jev in real-time Tetris; Jev won all three games.
Many of the first builds here were collected by madewithlaya.com. Every entry links to its creator’s own post, repository or site.