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I mean the Zero Data reasoning directly cites previous work on the same principle. That in particular seems like a significant step forwards though - one of the main critiques of current methods is "humans don't learn by ingesting terabytes of common crawl, they learn from experience".

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Of course some works are indeed genuinely good ideas. But sometimes things just don’t work out quite as well. Many nature papers in my field are dead ends applications-wise.

I’m not saying any of those works specifically are, just that research should be approached with a healthy dose of skepticism.

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