Submitted by timscarfe t3_yq06d5 in MachineLearning
geneing t1_ivplj76 wrote
Reply to comment by Nameless1995 in [D] What does it mean for an AI to understand? (Chinese Room Argument) - MLST Video by timscarfe
The new machine learning based translators don't really have a set of rules. They essentially learn probabilities of different word combinations. (e.g. https://ai.googleblog.com/2019/10/exploring-massively-multilingual.html), which we could argue should count as "understanding" (since Searle didn't define it clearly).
Nameless1995 t1_ivpnf6f wrote
> They essentially learn probabilities of different word combinations.
These isn't dichotomous with having a set of rules. The rules operate at a deeper (less interpretable level -- some may say "subsymbolic") compared to GOFAI. The whole setup of model+gradient descent correspond to having some update rules (based on partial differentations and such). In practice they aren't fully continuous either (though in theory they are) because of floating point approximations and underlying digitization.
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