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If models actually were able to tell you what they know and don’t know, then sure. But instead they just give you an output for any input you give them, whether
by Olreich 6y ago
If models actually were able to tell you what they know and don’t know, then sure. But instead they just give you an output for any input you give them, whether they have a clue or not.
- 0xBABAD00C 6y agoThis is such a simplistic view of a vast and evolving field of scientific research, it's too cartoonish of an argument to even warrant a real response. Which is why the conversation around ML gets negatively selected against actual researchers and practitioners, who get headaches from opinions like the one above.
- memexy 6y agoWhat's wrong with their view. They're right that such models will always give an answer whether it makes sense or not. Has anyone tried asking Bob to solve sudoku? What happens? Does Bob fill in the blank spots according to sudoku rules and is the final solution an actual solution for the given board or does it end up being a random list of numbers?
- imtringued 6y agoHonestly last time I tried to get into machine learning the huge limitations made me lose interest. The idea that we can just pretend that these limitations don't exist is absurd. ML lets us do a lot of very interesting things but it's just a stepping stone. It's something we are stuck with rather than something that we want to keep.