I’d rather believe it’s sloppy thinking, but yeah, the incentives are not conducive to honesty.
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Yes. Three years ago I wanted to run some of the missing controls on the ImageNet results, based on my theory that it’s mostly texture recognition… but getting the funding for the gpu-years didn’t seem likely.
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Replying to @Meaningness @Aelkus and
In 2015 I thought about approaching VCs to see if they’d fund an adversarial AI lab that would try to show it doesn’t really work. If they are throwing billions at it, they might pay $10m for a reality check. Guessed they’d probably rather not know, and sell on to greater fools.
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My theory of Google’s D-Wave purchase was that they knew it’s total bullshit but it gives a halo of “this company is doing amazing cutting edge research,” which makes it easier to hire engineers to write CRUD screens.
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Now that you mention this, their “we use DL for EVERYTHING” story may just have the same motivation. Although in this case I suspect they are at least partly self-deluded.
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