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Comment What is the definition of "profiteering"? (Score 1) 93

Or "profits beyond reasonable repayment for capital, indicative of monopolistic, or monopsonistic, power over the other trade party".

I think we need to codify what "normal" is, and what should happen otherwise. Winners won't willingly give up their winning lottery ticket unless forced.

It isn't like Micron made any amazing technology leap, or strategic business decision that paid off. No, they're lucky. And those in power have decided that AI companies win.

Comment Should publishers disable known hackable versions? (Score 1) 20

It'd certainly help everyone move to versions that are secure if the insecure versions would turn themselves off. Meaning the creator/publisher would remove approval for easily broken/hacked versions, and after a few warnings would disable/block the broken versions from running at all.

Yes, I'm aware of issues with this pattern, but it still sounds "more secure" than what's typical today (relying on each separate developer to decide to upgrade).

Comment How does using parts of the parameters work? (Score 2) 3

"The 26B Mixture of Experts model activates only 3.8 billion of its 26 billion parameters in inference mode, giving it much higher tokens-per-second than similarly sized models."

Isn't that a 3.8 billion parameter model then? Created from the 26 billion version. Or do they mean it "mostly" sticks to 3.8 billion parameters.

Comment Why aren't recordings marked as "real"? (Score 1) 43

Can't remember who's phone finally did this (OPPO?), but they'd add a hash to recorded images captured with the device. To prove this is what was recorded from the sensors, not a generated or modified data file. Guessing at the firmware level to try to make it harder to fake, and depending on how it was set up you might even be able to confirm which device captured it (would be nice if you had to already know the source ID to compare against a device, with yes/no answers).

Yes, there are issues to iron out before it could be a generally assumed useful tool. But trying to "identify what is real from the beginning" seems like a better solution than "finding what might be fake" (some of the time, after some reputation damage was already done, and sometimes creating false positives marking real images/videos as fake).

Then we could create methods to connect the original source material (for measured/recorded authentication) with any customized versions (cropped, filtered, etc). Maybe even with a numerical estimate for how likely this is a likely starting point for the result file, and how it was created (to recreate it by other people if they don't want to just trust the source).

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