rbrus
@rbrus · Sep 22
Tests whether the open Laya model on Apple's MLX can stand in for a paid judge, scoring model outputs locally with typed answers.

ConvAI Innovations· Released Sep 18
Open-source (Apache 2.0) non-autoregressive System 1 decision engine from ConvAI Innovations. It returns typed choice, score and yes/no answers with calibrated probabilities in one forward pass of about 33 ms, across 100+ languages, as an open-weights counterpart to TypeSafe AI's closed Jev.
rbrus
@rbrus · Sep 22
Tests whether the open Laya model on Apple's MLX can stand in for a paid judge, scoring model outputs locally with typed answers.

glukicov
@glukicov · Sep 20
Two LLM routers behind one endpoint compared on 180 labelled requests: Laya picks small, medium or powerful in one forward pass versus a GPT-5 nano reasoning router. Local and free for the Laya side.

yibie
@yibie · Sep 20
Independent Jev-vs-Laya measurements plus a local-first cascade: Laya decides first, high-confidence answers execute, low-confidence ones escalate to Jev. Reported as matching Jev's accuracy at lower cost.

Tobias Wupperfeld
@tobiaswup · Sep 21
Tobias built his own Snake benchmark and ran the Jev API against Laya-MLX and Kev-4B on a low-RAM MacBook. Honest take: Jev wins on quality, locals win on speed.
yankis
@yankis0x · Sep 21
Yankis's video runs Nimble, Decider, OpenJev, Laya and more through the same JevBench scoring. Laya gets the final 3:41.
aryanbhujade
@aryanbhujade · Sep 22
Speak commands to drive a browser on Apple silicon, with a local Laya decision model checking each result before the next action.

biplovgautam
@biplovgautam · Sep 22
A studio for fine-tuning Laya typed-decision models locally, with checks that prove the tuned model beats the baseline before you ship it.

allenporter
@allenporter · Sep 20
Allen Porter's native Assist conversation agent scores intents and entities in one Laya pass, runs device commands locally and escalates open-ended queries to a fallback LLM.

Shantanu Goel
@shantanugoel · Sep 20
Shantanu Goel trained Laya for ~24 hours to play FreeDoom E1M1 from text-only perception. Jev played well zero-shot; the Laya base model did not. Honest negative result.
dhruvmehra
@dhruvmehra · Sep 22
Six classifiers over SST-2, AG News and more, reporting accuracy, macro-F1, ECE, p50/p95 latency, throughput and cost side by side. Laya runs locally on MPS or CPU.

TTUX | تیتاکس (AmirTaha سابق)
@TTUX_tech · Sep 21
AmirTaha wrote a Snake game that feeds fruit, head and border positions to a local Laya model and takes the next direction from it. Persian post, code in AmirTahaMim/LayaSnakeGame.

xuancuongdoo
@xuancuongdoo · Sep 23
A browser agent that lets Laya choose among indexed on-page actions locally, completing a Google Flights search demo in about 6.5 seconds.

F0Rextasy
@F0Rextasy · Sep 21
An MCP server and skill that gives the oh-my-pi coding agent typed decisions from a local Laya model in milliseconds and with zero LLM tokens.

antonellof
@antonellof · Sep 24
Paper-trades Binance crypto and S&P 500 stocks with Laya MLX, with a live dashboard, backtests, a prompt lab and walk-forward tests, all on a Mac.

Hope
@hope_rythmn · Sep 21
Hope put both models in a 1v1 Doom deathmatch, first to five kills. Jev's calls were sharper and needed a third of the corrections; Laya decided twice as often.
ZLHAOOO
@ZLHAOOO · Sep 25
Chinese fine-tuned Laya weights for MLX that score message routing, urgency, priority and retrieval keywords in one forward pass of about 27 ms.

cv
@cv · Sep 20
Unmodified Laya weights, real NES emulation via Stable Retro, text observations from RAM, model-driven jumping. 27.5 s of game time at 16.79 ms median inference.

chneau
@chneau · Sep 20
Dockerized FastAPI service bundling all three checkpoints behind a language router, with timing-safe API keys, OpenAPI docs, triage and moderation presets and bulk inference.

Anton Lobach
@AntLobach · Sep 21
Anton Lobach ported the Laya System 1 engine to Jolt, a Clojure implementation on Chez Scheme. Code in jlt-commons/lev.
nico-c-hublo
@nico-c-hublo · Sep 23
A Pi coding-agent extension that uses a local Laya or remote Jev decision model to judge task difficulty and switch to a cheaper or stronger LLM.

pilotspace
@pilotspace · Sep 23
Combines tree-sitter, BM25 and a Laya re-ranker, delivered through hooks and MCP, so Claude Code pulls the most relevant code first.

neko233-com
@neko233-com · Sep 21
One process serves the model API and an admin UI; agents call decide over MCP, HTTP or CLI and take top.id as the action. Windows service installer included.
