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！ github.com/mizorewww/laya-ml…

Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.

Agent x Loop It should have been obvious 3 years ago to that putting an LLm in a loop was the endgame. I’m surprised y’all weren’t already thinking about ai coding like this Your job is not to guide a coding agent It’s to surf on the back of a bucking bronco demon alien that’s smarter than you and can work in 1000x parallel That’s an entirely different task from writing clear linear tickets or product descriptions for small features You don’t tell an agent to pick up a hammer and assemble a chair with a detailed design spec. It already knows to do that. Your new job is building onboarding documents, design direction & high level cultural values (aka decision frameworks) for a furniture factory, distribution center & business Then you simply hire Ai workers on loop to do the thing It’s very similar to the way fast food restaurants have standardized and documented practices to teach dumb unmotivated and non-sober high schoolers how to run a fully working restaurant, at the scale of millions Except instead of producing burgers or chairs you produce code & outcomes via software

new open ai model coming soon, how do i know 5.4 is starting to feel ever so slightly useless