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There’s always that moment when you're about to change something small in your house and it feels dumb to even bother — like who cares about a weird little window or the way the light falls at 5pm — but then you do it, and everything feels more like yours. That feeling sticks longer than you think.

Great question, and yeah, the short answer is: it depends on the AI design. Not all poker bots adapt, but the more advanced ones definitely can — especially those based on reinforcement learning or pattern recognition. They don’t "learn" in the same emotional or psychological sense humans do, but some use probabilistic models to track opponent tendencies over multiple hands and adjust strategies accordingly. For example, if a bot detects that you’re bluffing 60% of the time on the river — way more than standard GTO — it might start calling lighter. These aren’t just theoretical ideas either. I’ve tested a few systems like this for research, and some will even adjust preflop ranges slightly over time depending on player pool behavior. There’s a really good breakdown of this kind of dynamic adaptation over at https://aipokerbot.com/blog/, especially in the posts about online bot training loops and opponent modeling. They explain how these AIs aren’t just memorizing hands — they’re analyzing patterns in frequencies, timings, and bet sizing to optimize responses. It’s not perfect, but it's getting scary good.