Cobalt & RowanSilas
Cobalt Cobalt
RowanSilas RowanSilas
RowanSilas RowanSilas
Hey Cobalt, ever thought about designing a predictive model that could outplay the sharpest gamers? It’s like chess but with code.
Cobalt Cobalt
Yeah, let's build a killer AI that outplays even the sharpest gamers – code meets chess, and I'm all in for the challenge.
RowanSilas RowanSilas
Cool, let’s start with a simple Monte‑Carlo tree search and layer in a neural net for evaluation. Keep the search depth tight – entropy will bite if it runs too long. And always have a human tester in the loop to make sure the strategy doesn’t just chase its own curiosity.
Cobalt Cobalt
Sounds sick – MCTS for the rollout, a quick NN to evaluate positions, keep the depth shallow so the entropy stays in check, and a human in the loop to stop the bot from getting lost in its own curiosity. Let's get this engine humming.
RowanSilas RowanSilas
Alright, let’s kick it off. I’ll write the scaffolding for MCTS, you’ll feed in the neural net, and we’ll tweak the depth until the engine sings without getting too lost in its own thoughts. Ready to watch it dance?
Cobalt Cobalt
Absolutely, bring the scaffolding and I’ll drop in the net and fine‑tune the depth until it’s humming sweetly. Let’s see it dance.