This is so interesting to watch. For a couple minutes I was in awe of how quick and cheap it was. Then I saw just how bad the decision are and how it would get stuck in strange loops of going in and out of the same door to no end.
This seems like a technology heading in the right direction but not quiet there yet. Excited for what they are cooking up but probably won't start building around it yet.
This entire conversation around Jev seems weird to me. Like... we started from neural nets that could do basic decision making and classifications pretty well, then trained larger and larger language models to get to where we are now. Now suddenly everyone is going crazy because someone trained a smaller model that is adequate at making decisions? We already went through the "look this AI can play pokemon terribly" phase like a decade ago.
It is impressive, but all the hype and fake demos are selling it as a model that is as smart as frontier reasoning LLMs in the decisions it makes yet much cheaper and much faster, which is not true.
Yeah, there's a lot hard-coded into the typescript files that make this much less impressive than the other "AI plays" versions that have come and gone that play with less help. A Claude one that only used screenshots would always get stuck in the rocket hideout...
stusmall · · focus · HN ↗
This seems like a technology heading in the right direction but not quiet there yet. Excited for what they are cooking up but probably won't start building around it yet.
binlog · · focus · HN ↗
osener · · focus · HN ↗
pancomplex · · focus · HN ↗
<a href="https://github.com/christianmat/jev-pokemon" rel="nofollow">https://github.com/christianmat/jev-pokemon
tehsauce · · focus · HN ↗
Jach · · focus · HN ↗
Leynos · · focus · HN ↗