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Hey HN! Wanted to share a fun project I've been hacking on. Given Jev can make decisions really fast (but not fast enough to play Doom yet sadly), I wanted to try and push it to play a more complex game than Tetris. So I went with Pokémon.
I've spent endless hours playing this game as a child so building this was a ton of fun.
I open sourced everything in case you want to hack on it yourself here: https://github.com/christianmat/jev-pokemon
The game is being streamed live including the tokens and cost - hopefully we get all the badges and don't get stuck in a cave :)
Discussion (41 Comments)Read Original on HackerNews
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.
That being said, one thing having been unrealistic 10 years ago and just about possible today doesn't mean that it's going to change the world the same way another technically related, previously-impossible thing did. The Jev hype gives me a bit of the "you're still early to crypto" vibes of some later altcoins. I really like the idea, I think it's going to open up possibilities for using classifiers where we wouldn't or couldn't have trained one before. I'm crossing my fingers for an open weights version to drop. But it's still just a classifier, people have built similar things before Jev, the one thing that really stands out about it is their ability to generate hype.
Ie the famous "Hotdog" clip from Silicon Valley [0]
https://www.youtube.com/watch?v=ACmydtFDTGs
> the most interesting thing about this jev stuff
> is that people are seemingly like
> completely disinterested in how smart it actually is
> I haven't even heard it mentioned a single time how it actually compares to other LLMs coming up with their own classifications. Just: it's fast and cheap
After watching a few minutes of this it makes me think that maybe we should be a little more interested in how smart it is.
The "Jev calls" counter only seems to increment at junction points like battles, conversation prompts, menus etc.
Is something else moving the character around?
All in the OSS repo if you wanna play around with it: https://github.com/christianmat/jev-pokemon
https://openrouter.ai/blog/insights/royale-last-agent-standi...
The interesting thing here imo is the cost and latency. So far we're at 4 badges for less than $0.5
However, https://x.com/TynanSylvester/status/2096965749369720970 Astra was able to beat RimWorld. So LLMs are definitely able to drive these sorts of games to completion with their current abilities.
Did I miss something? I thought one of the demo videos was it doing pretty decent at the first level of Doom?
You could front this with an image -> text model but that would be much lower quality vs latency, and the whole point of doing it with a decision model is remove the latency.
Games are a really interesting testing ground for robotics; if we can solve game playing (incl 3d) we could embody "system one" intelligence into robots that have something emulating general reflexes without needing to fine tune.