Machine learning already includes 'adversarial machine learning', FWIW. https://en.wikipedia.org/wiki/Adversarial_machine_learning …
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Yes; not what I had in mind. That’s a powerful technique, but not an adversarial research program.
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ML is the new Blockchain
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Yeah, SV is desperate to find something to do that’s more interesting than SaaS Rails CRUD apps.
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have you seen "neural networks are essentially polynomial regression"? https://arxiv.org/abs/1806.06850
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That’s a bit of a tautology, no? Any function can be approximated by a (sufficiently high-order) polynomial. This tells us nothing about how interesting the function is.
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And let's spend that FIRST, and see results before we choose to spend the rest.
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basic research in AI is essentially math and as such should be extremely capital efficient... $20 billion per year seems a bit excessive
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I wonder if Charles Schumer has holdings in AWS
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Bad take; the CS research community has no idea why ML works as currently deployed, in spite of many years of effort: https://windowsontheory.org/2019/11/15/puzzles-of-modern-machine-learning/ … Also, ML works amazing for many definitions of "work". Of course, that doesn't justify current hype that it will work for everything.
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