Yeah, it’d be more interesting to see this done with, for instance, an RTS. Something where smarter decisions can beat out faster gameplay some percentage of the time. Obviously high APM is important in an RTS, but in this Street Fighter example, I’m pretty sure a 5 year old who only knows how to Hadouken spam would beat any of these LLMs from what we’re seeing here; it’s not so much about how good their decision-making is, but just about which ones execute the most moves that have a chance to connect.
New flash: Fast twitch games go to players with the fastest twitch.
Yeah, it’d be more interesting to see this done with, for instance, an RTS. Something where smarter decisions can beat out faster gameplay some percentage of the time. Obviously high APM is important in an RTS, but in this Street Fighter example, I’m pretty sure a 5 year old who only knows how to Hadouken spam would beat any of these LLMs from what we’re seeing here; it’s not so much about how good their decision-making is, but just about which ones execute the most moves that have a chance to connect.
LLMs don’t make decisions or understand things at all, they just regurgitate text in a human like manner.
I say this as someone who sees a lot of potential in the technology, though, but like this, or like most people are claiming we can use them.
What does a Large Language Model have to do with Street Fighter anyway? Random button presses might even score better.
As someone who sucks at fighting games, no, not really. :D