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this post was submitted on 09 Feb 2024
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They're calling everything "AI" nowadays... this sort of learning algorithm is old as fuck, here's a 8yo example. The main differences between both situations is 1) some sensor(s) being used to "tell" the algorithm about the board state, and 2) the barebones robotic arms messing with the board.
Exactly. Not to mention, why the fuck is it a surprise that a computer twisting the knobs “at superhuman speed” would be better at this game than humans. Like, no shit. We can’t compute how the degrees at which we’re turning the knobs affects the speed of the ball, can’t store that information for next time, and find the best way not making the same mistakes twice. Because…we’re human. We don’t have that finely tuned ability…because we’re not machines.
So…this isn’t “AI” despite the robot hands they put in the thumbnail and no shit a dedicated computer could master this game. I’m surprised it took six hours.
Additionally, this shit is really easy to compute. It's all Newtonian physics, and there are only two relevant equations here, both simple: d = at²/2 + vt and a = g*sin(θ). It's really easy for a computer to reach those formulas, cancelling the advantage that humans would have (insight and actual knowledge of the system).
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here's a 8yo example
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