Comment by deadbabe
4 hours ago
It’s amazing how people with AI are discovering classic techniques for balancing games (i.e. Monte Carlo methods, genetic algorithms…), but somehow implementing them way less efficiently, and without mathematical rigor, basically just having an LLM do the work of deterministic math functions.
You're being presumptuous, I explicitly was explicitly thinking of a GA when I set this up, and how is it inefficient when the AI reduces the number of non-viable policies (and thus the number of wasted simulations) by multiple orders of magnitude compared to randomized policy generation?
…what makes you think people are implementing them less efficiently? I’d be inclined to agree with you but your reply reeks of “no true Scotsman” strawman arguments that it’s hard to take it seriously.
There's a lot of information in this world. It's fun stumbling on that information sometimes. For me personally, it makes learning much easier and gradual, than reading about something from a book or LLM answers.
Someone hasn't seen xkcd 1053 recently enough