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The "induction" that machine learning algorithms do also isn't the same as the induction that humans preform. We induce new concepts from experience (data) -- T
by ibeckermayer 7y ago
The "induction" that machine learning algorithms do also isn't the same as the induction that humans preform. We induce new concepts from experience (data) -- The description itself assumes consciousness in both "concepts" and "experience".
Thinking of computers as getting more "intelligent" like humans is a category error -- computers are dumb matter configured in an intelligent way by actual intelligence (humans) to preform certain tasks for us. We get better at telling them how to preform certain tasks (software), but there's no reason to think we're moving along some continuum of intelligence towards us.
- visarga 7y ago> We induce new concepts from experience (data) That's the premise of deep learning - inducing high level concepts from experience, without manual feature engineering. DL models are good at induction, what they can't handle is generalisation (being accurate outside of distribution). And self driving has a long tail, that's why it's so hard.