Local Laya beats cloud Jev at Tetris

The port announcement: Laya on MLX, under 1 GB RAM, choosing the snake’s next move 60 times a second on a local M3 Max.

Viraj Bhartiya wired both models into the Chrome T-Rex game: Laya local on MLX, Jev over the API, same track and physics, side-by-side latency. Code in virajbhartiya/laya-vs-jev.

Tony Dinh ran laya-mlx on a MacBook against Jev in real-time Tetris. Laya decided far faster but stacked itself to the ceiling; Jev won every round.

Validated Core ML ports of all Laya checkpoints. One short multilingual decision in 4.98 ms P50 on M3 Max with ANE FP16, at 2.78x better energy per decision than MLX FP16.