Laya is an open-source non-autoregressive decision model released by a developer in March 2025 through an arXiv paper, Hugging Face weights and an open dataset, with sub-35ms inference across 100+ languages. Recent coverage compares it with Jev from TypeSafe AI: one developer says his model was rebranded a breakthrough, while a ViZDoom benchmark tested Laya, Jev, finetuned ModernCE and finetuned Qwen3.5-4B, where Qwen3.5-4B averaged 3.63 kills and Jev survived 5.63s.
Four AI Models Tested on Doom Control BenchmarkAn experiment let Jev, Laya, finetuned ModernCE and finetuned Qwen3.5-4B play ViZDoom autonomously, comparing kills, survival time and latency. Finetuned Qwen3.5-4B averaged 3.63 kills, the best, while Jev survived 5.63s on average with p95 latency near 200ms. No model received Doom-specific training.
Developer Says His Non-Autoregressive Decision Model Was Rebranded a BreakthroughA developer says he released an RL-based non-autoregressive decision model, Laya, back in March 2025 via an arXiv paper, Hugging Face weights, and an open dataset—sub-35ms inference across 100+ languages. He criticizes frontier lab TypeSafe AI, founded by a former OpenAI member, for launching a similar product, Jev, in September 2026 as a brand-new breakthrough without papers, open weights, or training data.
Open-source model Laya outperforms Jev benchmarksA Reddit poster released Laya, a 421M‑parameter open‑source model trained on a single RTX 6000 Pro, claiming it surpasses Jev benchmarks; the author published a Hugging Face demo and GitHub repo for testing and reproduction.
The A.I. Daily