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There are lots of problems for which algorithms (with no data/learning required) are trivially superhuman, in the sense that they perform tasks no human could h
by okintheory 3y ago
There are lots of problems for which algorithms (with no data/learning required) are trivially superhuman, in the sense that they perform tasks no human could hope to do. AlphaFold is not 'only' an algorithm, as it also needs data to perform well. But this doesn't seem like a satisfactory reason to call AlphaFold "ASI" and not apply this term to your run-of-the-mill mixed-integer-program-solver for some difficult scheduling problem.
- nojvek 3y agoI believe AlphaZero and MuZero would fit that definition. Other than a system allowing play, they become superhuman purely through self play. A benchmark for any AGI system is how fast it can learn from sparse unlabeled data and generalize.
- mitthrowaway2 3y agoNot that long ago, protein folding prediction was thought to be a good example of a task that humans are good at and computers bad at. https://kotaku.com/humans-triumph-over-machines-in-protein-folding-game-fo-5605576 https://kotaku.com/humans-triumph-over-machines-in-protein-f...
- trashtester 3y agoThese are cases of AI being super intelligent in narrow fields. For now, they're not AGI, but I do expect these abilities to be possible to integrate into generic, multimodal AGI's within our lifetime, and maybe this decade.