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2 times 3 can sometimes equal 7 with Android's Neural Network API

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Re: 2 times 3 can sometimes equal 7 with Android's Neural Network API

#4
post #3

Well, every tool has it's own range of use cases; doing integer math is not a use case for a guesstimate engine .

Or one can claim that it's entirely obvious when relating that with human beings making mistakes, where not only 2*3 can be 7, millions can die of some obscure disctators whim, without much conacusoly realized the insanity...

Re: 2 times 3 can sometimes equal 7 with Android's Neural Network API

#5
post #3

Well, every tool has it's own range of use cases; doing integer math is not a use case for a guesstimate engine .

Or one can claim that it's entirely obvious when relating that with human beings making mistakes, where not only 2*3 can be 7, millions can die of some obscure disctators whim, without much conacusoly realized the insanity...

Did someone just train a GAN on HN comments?

Re: 2 times 3 can sometimes equal 7 with Android's Neural Network API

#7
Using a neural network for things that have clear cut rules is wrong. When you know the exact rules, implement them as such, instead of bruteforcing a guesstimation. This is also why I'm sceptical of the usr of GPT-3 for all sorts of purposes where accuracy is important. Think of the code generation case. Bugs may be very subtle and may go unnoticed.

Re: 2 times 3 can sometimes equal 7 with Android's Neural Network API

#8

Earlier quoted context omitted.

Or one can claim that it's entirely obvious when relating that with human beings making mistakes, where not only 2*3 can be 7, millions can die of some obscure disctators whim, without much conacusoly realized the insanity...

Did someone just train a GAN on HN comments?

It would be fairly interesting to try, and take votes as feedback. That's what we all do here, anyway...

…Although you can reach a point where you have enough karma not to care and troll a bit/speak more freely, which if you only look at the vote outcome, can net you big in both directions (though there is a lower bound). In the end, it's exactly like an optimization problem, if you're "farming" karma: a lot of safe bets, and a few more risky ones to maybe discover a new class of safe ones.

Reddit is full of safe gamblers who are farmink karma by repeating canned patterns.

Re: 2 times 3 can sometimes equal 7 with Android's Neural Network API

#9
post #7

Using a neural network for things that have clear cut rules is wrong. When you know the exact rules, implement them as such, instead of bruteforcing a guesstimation. This is also why I'm sceptical of the usr of GPT-3 for all sorts of purposes where accuracy is important. Think of the code generation case. Bugs may be very subtle and may go unnoticed.

Code generation only needs to generate code with n bugs where n is less than the number of bugs a human developer generates for it to have usefulness, and maybe some other factor of severity where they are generally less severe than human developers. I think it'll make neat autopilot functionality for developers but not replace the need to have someone look over and understand the code.

Re: 2 times 3 can sometimes equal 7 with Android's Neural Network API

#10
post #7

Using a neural network for things that have clear cut rules is wrong. When you know the exact rules, implement them as such, instead of bruteforcing a guesstimation. This is also why I'm sceptical of the usr of GPT-3 for all sorts of purposes where accuracy is important. Think of the code generation case. Bugs may be very subtle and may go unnoticed.

For code, I could see it being super useful for a beefed up auto-complete. There are many times I find myself searching for things like "how do I do X in Y language" to copy a snippet that I'm sure has been written 10000x times before. I can review the code and verify its correctness by writing tests.
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