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As the original commenter said, you have the capability for abstract learning, thought, zand generalized learning, which the "AI" lacks. It is not uncommon to
by toss1 5y ago
As the original commenter said, you have the capability for abstract learning, thought, zand generalized learning, which the "AI" lacks.
It is not uncommon to ask person to "explain in your own words..." - as in use your own abstract internal representation of the learned concepts to demonstrate that you have developed such an abstract internal concept of the topic, and are not merely regurgitating re-disorganized input snippets.
If you don't understand the difference...
edit: That said, if you can create a computer capable of such different abstract thought, congratulations, you've solved the problem of Artificial General Intelligence, and will be welcomed to the Trillionaires' Club
- gradys 5y agoThe AI most certainly does not lack the ability to generalize. Not as well as humans, but generalization is the key interesting result in deep learning, leading to papers like this one: https://arxiv.org/abs/1710.05468 https://arxiv.org/abs/1710.05468 The ability to generalize actually seems to keep increasing with the number of parameters, which is the key interesting result in the GPT-* line of work that Copilot is based on.
- toss1 5y agoI've seen some very clever output from GPT-*, but zero indicating any kind of abstract generalized understanding of any topic in use. Being able to predict the most likely succeeding string for a given input can be extremely useful. I've even used it with some success as a more sophisticated kind of search engine for some materials science questions. But I'm under no illusions that it has the first shadow of a hint of minor understanding of the topics of materials science, nevermind any general understanding. It seems we're discussing different meanings of the word "generalize".