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Laya (OS Jev) on Mac M4 CoreML Offline (45 decisions per second)

58 points by putna 3 hours ago | 6 comments

frag 2 hours ago

Great job! Did you finetune your own Laya for the snake game or what?

Local LLMs are the future, and one of the reasons I think the data centre furore is just going to end in a market crash.

LLMs that can reliably be used for control problems are the future, and I think classic/deep RL has generally been overlooked for years for a whole host of problems by wider industry because it felt inaccessible. The first thing I thought of when I saw Jev (and then Laya), was "this might move the needle in a really, really interesting way".

Local LLMs that can reliably be used for control problems smash through a lot of barriers I'm interested in, and this intrigues me a lot. Guess I'm about to become a big Laya fan if it can run on this kind of hardware to this performance.

frag 2 hours ago

that's not a local LLM. If it's local, it doesn't matter in this case. Laya is a System 1 "AI", namely works like a classifier, given a state and questions, it shoots probabilities for each. I publish an episode tomorrow about Laya and Typesafe AI on https://www.youtube.com/@DataScienceatHome

Stay tuned ;)

bigyabai 49 minutes ago

It won't. Laya is a finetuned version of Google's BeRT model, which is almost 10 years old right now.

If BeRT had any potential to disrupt the datacenter buildout, it already would have.

tentacleuno 2 hours ago

This looks like a local AI model playing Snake -- is that correct? The article offers no explanation.

ryuuseijin 2 hours ago

The linked github project [1] contains more information.

[1]: https://github.com/mizorewww/laya-coreml

aidiveyt 14 minutes ago

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oezi 2 hours ago

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