介绍比Jev快50倍，在你设备上跑的laya-mlx! 只在你的设备上占用最高1G内存 Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统 我将其移植到MLX,并且做了一些性能优化! 视频中就是这个模型在我的本地M3Max上玩贪吃蛇 这个模型能够以每秒决策60次的速度玩贪吃蛇！ https://t.co/31KGUiNunb https://t.co/5kAXnrrdUA↗

The life of a button... 🔊 https://t.co/o3noStCn1A↗

what if copy/paste was smart? powered by @typesafeai jev it feels like every computer interaction will get rewritten https://t.co/64jnA0p1Cr↗

Running Jev to see how fast it can remove negative comments from chat https://t.co/sGtnvflCaO↗

I reverse-engineered Instinct's memory. Here's exactly how it works Instinct has taken the world by storm over the last two weeks - it's one of the best imessage assistants I've used. as with every product, I decided to reverse-engineer Instinct's memory to find out exactly how…↗

Introducing a new way FIND (⌘F) with @typesafeai Jev. Find what you mean, not what just matches. Super fast and near real-time. Made it 100% open-source chrome extension. https://t.co/kLJzqiFltz↗

@jamesm If you ask your mom "is the sky blue" she says "yes" immediately, that's jev. If you ask your dad "why is the sky blue" he talks for ten minutes, that's an LLM.↗

Calling it now: the trend of putting control flow in markdown for agents (skills, prompts, etc) is going to look *really* silly in a couple months↗

Quite an interesting turn in LLM diversity, if the market starts looking for specialized models that are optimized and branded for different use cases. Should be very good for the market and open more room for non-frontier neolabs!↗

@burcs first make it. then make it great.↗

The best way to learn something is to build with it! I built Jev Explained with 4 examples that show what Jev is, how its primitives work, and how to use them in practice Clone the repo, open Claude Code or Codex, and ask it to create a new example using the existing codebase …↗

jev-explained: Jev Explained↗