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.<p>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".<p>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.
The future for whom? The general public? Not a chance, no way, not unless it's able to run on a phone (anywhere from 20-40% of internet users, world-wide, are phone-only).<p>For companies? I think that's a lot more plausible, as that's mostly just a question of money - is it cheaper to run <i>and administrate</i> our own models, or outsource that?<p>For technically inclined users? I think that's unlikely unless they're able to operate on relatively cheap hardware while still being just as good as the hosted models. And by that I don't mean "a mac studio," that's far more money than I think is reasonable. A single RTX 5080, maybe, once memory prices start to drop.
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 <a href="https://www.youtube.com/@DataScienceatHome" rel="nofollow">https://www.youtube.com/@DataScienceatHome</a><p>Stay tuned ;)
It won't. Laya is a finetuned version of Google's BeRT model, which is almost 10 years old right now.<p>If BeRT had any potential to disrupt the datacenter buildout, it already would have.