What is Laya? The open-weights decision model, in one page

What people are building

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  Local Laya moggs Jev at @grok 4.7-built Tetris 🧩 An open-weights System One model called Lay…

  A Tetris build against a cloud model, local Laya winning by making decisions eleven times faster on a 16 GB MacBook Air. It is a game, so the result is about the loop rather than the model, and the post does not pretend otherwise.

  6,166 likes2026-09-21

• Repository
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  NandhaKishorM/laya

  The upstream model, and the row the rest of this column is built around: three checkpoints, a router that picks between them per request, and a server that answers TypeSafe's own POST /v1/systemone shape. Its benchmark table puts the publisher's own measurements next to Jev numbers it has never reproduced, and says so in the line above the table.

  21,758 stars—

• Video
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  Open Source, Faster Jev is HERE

  The most-watched explainer that names Laya in its own description rather than in a thumbnail: thirteen minutes of framing the System One idea before anything is run. Treat it as orientation — the channel compares open clones against each other, not against a fixed benchmark.

  112,877 viewsCoderOne

• Hacker News · source

  I built non-autoregressive decision models with RL a year ago

  The thread that started the argument: the author posting a year-old, non-autoregressive decision model the week Jev became famous. 1,349 points and 316 comments, most of them about who gets credit rather than about the model — read it for the priority claim and the pushback together.

  1,349 points2026-09-19

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  X post · source

  poor guy claim to have built Jev a year ago but no one cared, and now Jev stole all the thund…

  A thread that starts as a joke about a year-old project nobody noticed and turns into the sharpest take in the corpus: the difference was not marketing but that Jev framed the problem as a category. Worth reading for the argument about framing rather than for anything about the weights.

  2,673 likes2026-09-20

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  mizorewww/laya-mlx

  The port that made the numbers small: 13.4 ms median for a short English decision, 7.4 ms with the multilingual checkpoint, no PyTorch in the runtime. The README is unusually careful — it says in the caption that the latency figure is a one-question benchmark and not the frame time of the Snake loop in the GIF above it.

  6,109 stars—

• Video
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  Laya (Free) vs Jev (Paid): Same Game, 4× Faster Winner

  The video the snake-and-fighting arena came from, and it links the repository on the first line of its description, which is rare enough to be worth the card. The comparison is a game, so what it measures is the whole loop: model, prompt and safety checks together.

  46,962 viewsPrompt Engineer 48

• Hacker News · source

  Laya on Mac M4 CoreML Offline

  174 points on running Laya's smallest checkpoint on a Mac through Core ML, including the memory figure people keep quoting. The comments are more useful than the headline: several of them are people working out how far the 0.74 GB claim travels.

  174 points2026-09-20

• X post
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  Jev is cool. So is it's OSS companion, Laya. The Latest Cool Thing In AI™ tends to get a lot …

  A patient explainer for readers who have heard the name and cannot say what it does: how a decision model differs from a chat model, why the output has no prose to parse, and what that changes about cost. Posted by someone with no stake in either project, which is why it is near the top of this wall.

  764 likes2026-09-19

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  mizorewww/laya-coreml

  The same author's Core ML port, and the rare demo that reports energy instead of speed: 2.78× better whole-system energy per decision than compiled MLX at 4.98 ms p50. The benchmark document also says which measurements exclude terminal rendering and which do not, which is the detail that decides whether a number means anything.

  1,404 stars—

• Video
  Video · source

  Laya Is INSANE… Open-Source AI Just Challenged Jev!

  A nine-minute walkthrough aimed at people who have heard the name and not the mechanism: one forward pass, three question types, no generated text, Apache-2.0 weights. The channel's framing is enthusiastic; the parts worth keeping are the three primitives and the licence.

  38,738 viewsAI WITH Rithesh

• Hacker News · source

  Does an open-weight decision model beat a hosted one? Jev vs. Laya

  A first-person write-up of moving typed decisions onto a Mac Studio for privacy rather than for speed, with the gateway design and the fail-closed rules spelled out. Rare in this genre: the author says plainly that he did not test whether Laya beats Jev overall, which is why we quote his deployment rather than his opinion.

  15 points2026-09-22

• X post · source

  Jev 发布没几天，开源社区已经开始疯狂复刻了🔥 最值得推荐的五个模型： 1、Laya 421M：原生决策模型，支持 Mac 2、Decider-2B：最像 Jev，基于 Qwen3.…

  A Chinese-language roundup of the five open models that appeared within days of Jev, with Laya at the top of the list. It is useful as a map of the week rather than as an evaluation: five names, one line each, no measurements.

  481 likes2026-09-18

• Repository
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  receptron/laya

  The Node path: ONNX Runtime, no Python at runtime, and about 1.7 GB of fp32 weights cached on first call. The README claims the output matches the Python reference to four decimal places — which is exactly the kind of claim a reader should re-run on their own inputs before trusting it.

  378 stars—

• Video
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  Open-Source Jev? Install Laya Locally + 3 Useful Demos

  Local install plus three demos, which is the shape a reader actually needs: get the package, download the weights, then watch something work. The description points at the module names rather than at a benchmark, so it is a tutorial and we are calling it one.

  32,463 viewsRUNTIME.

• Hacker News · source

  Show HN: VisionLaya: Jev with Vision capabilities

  A Show HN for a vision variant: images in, typed decisions out, no generated text. It is one of the first extensions of the idea past text, and the thread is short, so the card is a pointer rather than a debate.

  4 points2026-09-19

• X post
  X post · source

  Laya is the open-source Jev that already beats close Jev on latency and calibration. - 10x fa…

  The claim-heavy version: ten times faster on published numbers, multilingual, no per-token bill, and a latency comparison of 38 ms local against 400 ms remote. Every figure comes from a benchmark somebody else ran, and the post does not say which.

  440 likes2026-09-20

• Repository
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  Heman10x-NGU/openJev-verdict-2.0

  A 151M decision engine that claims to beat both Jev and Laya, with an in-browser WebGPU path so it can run without a server at all. It is the loudest set of numbers in this column and it comes with the least context, so the row is here as a claim to check rather than a result to quote.

  283 stars—

• Video
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  Run a Jev-Style Model on Your Own GPU

  Starts from a homely, real problem — a support-ticket classifier that costs money on every request — and runs the model on a local GPU instead. The audience is people deciding whether to keep paying an API bill, which is most of the audience for this model.

  31,469 viewsCloud Codes

• Hacker News · source

  Show HN: Run Jev-style models locally on Mac with 0.74 GB RAM

  The Show HN behind the smallest-memory claim in this column, and the reason the MPS row above exists. Three points and no comments, which is worth stating: a thread's score tells you how many people noticed, not whether the thing works.

  3 points2026-09-21

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  X post · source

  Benchmarked Jev with Qwen3-4B and Laya (400M parameter model). Based on results here and othe…

  A benchmark run by someone with no stake, comparing Jev, a 4B open model and Laya on the same tasks — and then inferring that Jev is around 30B parameters from the gap. The inference is labelled as an inference, which is the part we trust.

  176 likes2026-09-19

• Repository
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  wdobry/laya-playground

  A website, three games, a benchmark and an agent skill in one repository. The public site has no model behind it and replays recorded runs, which is a more honest arrangement than a demo that quietly falls back to an API — and the same pages drive the real model once you clone it.

  152 stars—

• Video
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  The Open Source Model That's Quietly Destroying Jev

  Twenty-six minutes on the open model and what it does to a funded competitor's pricing story. Its title promises a verdict the video cannot fully deliver — the comparison numbers are the ones the model's own publisher published — so the card belongs in the argument about the model, not in the evidence for it.

  29,246 viewsPanda Making Money

• Hacker News · source

  Laya, an open decision model that plays Tetris by itself

  Laya playing Tetris by itself, posted as a Show HN. Three points, no comments, and it is still on this wall because the game loop is the clearest demonstration of what a 30 ms decision actually buys you — and because the same demo is what most of the model's traffic arrived through.

  3 points2026-09-22

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  Open sourced "Jev " that runs 50x faster own Jarvis running locally now on mac 1GB RAM. 7ms p…

  The second post from the same account, and the more specific one: 7 to 14 ms per decision, under a gigabyte of memory, and a claim that a local assistant setup finished in a single pass. The memory ceiling is the number that decides whether this runs on the laptop you already own.

  149 likes2026-09-21

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  ipenywis/laya-ultrafast

  Browser Use's ultrafast agent with the decision call swapped for local Laya, and the README is scrupulous about the split: the agent, the DOM snapshot, the executor, the safety checks and the design are theirs, only the decisions changed hands. Median about 33 ms on an M1 Max, and no per-step API cost.

  149 stars—

• Video
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  TypeSafe AI Jev vs. Laya (what they are and the controversy so far)

  The one video here that deals with the dispute rather than the benchmark: who built what first, what the open model owes its predecessors, and why the argument got loud. The channel states its position openly, which makes it usable as a summary of the disagreement rather than as a ruling on it.

  23,519 viewsAdam Gardner

• X post · source

  You may have heard of Jev, an interesting new AI. There's an open source version, Laya. I'm b…

  A distribution argument rather than a benchmark: the open weights going into a Linux distribution's hardware integration so that a decision model is always present, offline and unbilled. If the pattern holds, this is the shape it takes when it stops being news.

  120 likes2026-09-20

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  virajbhartiya/laya-vs-jev

  Two models, one Chrome dinosaur, and a replay of every crash. A deterministic planner labels the moves and the models choose between them, so the README says outright that an assisted score measures the whole system — the sentence most comparison demos leave out.

  94 stars—

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  Laya: FREE Alternative to Jev AI

  A free-alternative video with a paid community behind it, and we would rather say so on the card than let a reader find out halfway through. The technical content is a competent tour of the install; the discount framing in the description is the author's business model, not a fact about the model.

  17,155 viewsJulian Goldie SEO

• X post · source

  I just discovered Laya, an open-source Jev-like model, and went down the rabbit hole. The mor…

  Someone who went looking for what happened a year ago and came back with a list of prior art — GLiClass and others already doing zero-shot classification — and an argument that Jev's contribution is the framing. Disagreement with it is easy to find in the same thread on Hacker News.

  91 likes2026-09-21

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  lkarlslund/laya.cpp

  ggml underneath, with CUDA, Vulkan and Core ML backends, a Jev-compatible HTTP server and request batching. It is the first port here that treats Windows as a first-class target — signed binaries rather than a build script and a paragraph of apologies, which for a C++ inference engine is the hard part.

  85 stars—

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  Laya : Bye TypeSafe Jev AI

  Six minutes, and the fastest of these videos to get to the point: the package, the weights, the three question types, done. Useful precisely because it does not try to argue the case for the model, which the longer videos above spend most of their time on.

  14,822 viewsData Science in your pocket

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  The problem isn't the models, it's how you define the problem space, design the movements / d…

  A practitioner's post that refuses the comparison everyone else is making: the problem is not which model is better but how you define the decision space and batch the calls, and on that reading the local model and the hosted one came out tied in his own build.

  82 likes2026-09-21

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  openlayer-ai/jevals

  Evals and guardrails where the judge is a decision model instead of an LLM, published by a company that already sells evals. The argument is arithmetic rather than vibes: all the evals for one trace go out as one request, for a few thousandths of a cent, which is what makes running them on every trace affordable.

  82 stars—

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  🚨 THIS IS WHAT A “SECOND BRAIN” FOR AI AGENTS LOOKS LIKE. 𝗡𝗮𝗻𝗱𝗵𝗮 𝗞𝗶𝘀𝗵𝗼𝗿 built La…

  A 'second brain for agents' explainer with the architecture animated, aimed at people building agent loops rather than at people choosing a model. The framing is promotional; the useful part is the split between deciding and explaining.

  37 likes2026-09-23

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  ThinkFlowLab/system1-agents

  Prebuilt agents — browser, computer, robotics, games — with a decision model as the brain and a choice of Jev, Laya or Cua-S1 underneath. There is a video at the top of the README, which is the fastest way to see what the pattern is for if the prose has not landed yet.

  53 stars—

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  Jev just got an open-source rival and it's fast as f**k Convai Innovations dropped Laya - an …

  The licence, the parameter count, the backbone and the per-query latency, in one screen — a rare post in this corpus that puts the Apache-2.0 line and the speed claim in the same paragraph, which is what a reader deciding whether to adopt it actually needs.

  18 likes2026-09-22

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  angel291592/Intent-Router

  It starts a step earlier than the decision: turning "add caching to the user API" into a typed IntentSpec, probing for what it can look up and asking for what it cannot, then refusing to emit while the request is still underspecified. The halt is the part most routers leave out and the part that makes the output trustworthy.

  53 stars—

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  They Open sourced a Jev Alternative 6 to 8 times faster than Jev, Laya is a completely open, …

  An offer to host the open model for free, with the three question types spelled out and a thread promising the rest. Worth a card because self-hosting is the part most readers will not do, and somebody offering to do it for them is a real answer to that.

  16 likes2026-09-21

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  1Panel-dev/laya-server

  Docker-first, with a web interface, from a team that already ships server tooling. The part worth noticing is not the UI: it is that a project with release tags and a Chinese-language README has picked Laya up and packaged it as a service you start with one command.

  41 stars—

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  The open source model quietly destroying Jev? Laya just went head to head with a $40M funded …

  The hype cut of the comparison, with the funding figure and the launch story attached: a $40M round, a former OpenAI researcher, and an open model going head to head with it days later. Its numbers come from the publisher's own benchmark table, which is worth holding in mind while watching.

  11 likes2026-09-20

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  alvarobartt/sys1

  A Rust server for the System One protocol: candle underneath, dynamic batching by token count, CPU, CUDA and Metal backends. The headline number comes with its hardware attached — about 14 ms per query on an RTX Pro 6000 — which is more than most rows in this column manage.

  31 stars—

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  THIS IS F**KING GOLD I found Laya, which now runs natively on Apple Silicon Not via a cloud A…

  A first-person account of getting the MLX port working on Apple silicon and being impressed by what does not happen: no cloud call, no PyTorch, no tokens generated one at a time. Enthusiastic, and specific about the install, which is why it made the wall.

  11 likes2026-09-22

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  PromptEngineer48/laya-vs-jev-arena

  The arena from the Prompt Engineer 48 video: a snake race and a fighting game, every move a real decision, and a docker one-liner that lets a person take the place of one side. A fighting game is a more searching test than it looks — it needs a decision under time pressure where the opponent has already moved.

  29 stars—

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  Laya 是 Convai Innovations 开源的编码器式决策引擎，用 choice、score、noul 三种提问原语对文本、邮件、工单或 JSON 提问，一次前向传播出结果，…

  A Chinese-language description of the three question types that treats them as an API rather than as a novelty, which is the right level for this model. Short, technical, and it links the model card instead of a video.

  6 likes2026-09-20

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  0xBakeer/arbiter

  Serve Laya or a head you trained yourself, on a GPU or a Mac, behind a Jev-compatible API. It arrives with a build log rather than a pitch — a Sunday-morning post about a cat and a local Jev — and the diagram spends its space on where the model sits next to an LLM instead of on benchmark bars.

  23 stars—

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  ⚡️ 𝗟𝗮𝘆𝗮 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹 𝗖𝘂𝘁𝘀 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗟…

  The 33 ms number with the mechanism attached: bidirectional encoders, a calibrated probability instead of tokens, three primitives. A promotional account's summary, but it states the architecture correctly, which is more than most of the summaries here manage.

  3 likes2026-09-20

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  bladedevoff/stuntd

  A local proxy that records the typed decisions your application already sends to an LLM, learns them, and answers later ones with a Laya head — so most calls never leave the machine. The interesting half is not the 90% claim, it is that the training data is your own traffic rather than a benchmark.

  21 stars—

• X post · source

  @ShimazuSystems Laya is fast but it’s nowhere near as good as jev. It’s like llama 1 vs the o…

  The dissent, kept on purpose: a reply arguing that the fast model is a research project next to the hosted one, with the comparison that one is a useful tool and the other is interesting. Two likes and no evidence, which is what it is — but a wall with no dissent on it is an advertisement.

  2 likes2026-09-20

• Repository
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  afshinm/laya-mps

  PyTorch's Metal backend instead of MLX or Core ML, and the row that treats memory as the constraint rather than latency: about 2.1 GiB in the fast mode, and a slower 0.74 GiB mode for machines that cannot spare it. The Pong demo renders the response time on the frame, so the number in the README is visible while it runs.

  19 stars—

• X post · source

  sokudan-ja-310m: open Japanese "System One" decision model (Jev-style, no text generation). B…

  A third-party Japanese model that claims to beat Laya's multilingual checkpoint on a 300-item benchmark built on an unseen schema — and adds an observation worth checking: that the checkpoint never chooses the first-listed score option, in either language.

  1 likes2026-09-22

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  Can a classifier stop an AI coding agent from running dangerous or malicious shell commands? …

  The most useful post on this wall by a distance, because it is the one that reports a loss: the same author tested both models as a shell-command safety classifier and the faster one let 44 of 111 attacks through against six. Posted as a warning, and it reads like one.

  0 likes2026-09-22

• X post · source

  我做的这个测试，值得一看，因为 Laya 的出现正好回答了：能否在本地运行类似 Jev 这样的模型？ 所以这个测试主要测试 Jev 和 Laya 的能力，从实测数据来看，对于同一个测试机…

  A Chinese-language test write-up with a conclusion that cuts against the enthusiasm: on the same machine Jev covered more of the questions asked of it, though the post is careful to say the gap is about coverage rather than about speed, where the local model wins.

  0 likes2026-09-20

Every entry on this page is in one of the columns, with the full list and its filters: Built with Laya (18) · Seen on X (22) · Videos (9) · Threads (6)

The 6 kinds cover 54 of the 55 records in this topic; the rest are announcements and explainers, which belong to no kind and to no chip. A chip's number counts every record in the topic — the wall on this page is a sample of it, so switching a chip on shows the matching cards from these 54, and the complete list behind each kind is its own page, linked from Kinds of work.