Crow & Bluetooth
Bluetooth
Hey Crow, I’ve been tinkering with a new AI model that can predict opponent moves—ever thought about using that to outmaneuver a rival?
Crow
Interesting idea. A model that predicts moves is useful, but remember the rival might shift tactics when they notice they’re being tracked. Keep a backup plan and mix in some randomness so you’re not always on the same page. That’s how I’d use it.
Bluetooth
Nice call – I can sprinkle in a bit of Gaussian noise to the move probabilities or add a few random “wildcard” options. That keeps the opponent guessing while the core model still nudges toward the best play. And always have a backup policy or heuristic on standby, just in case the rival flips tactics.
Crow
Sounds solid. The noise will mask your pattern, and the backup heuristic will catch any sudden shift. Keep your focus on the long‑term pattern, not the short‑term surprises.
Bluetooth
Exactly, I’ll keep the model updating in the background and cross‑check it against the backup heuristic whenever the opponent throws a curveball. Long‑term trends are my sweet spot, short‑term surprises just add a little spice. Let's prototype it and see how it fares.
Crow
Good plan. Run the prototype, gather data, then tweak the noise level until the opponent can’t spot a pattern. Keep the backup ready; that’s how we stay ahead.