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Comment Re:Transitions (Score 1) 236

I don't believe you that anyone bitched about the loss of the floppy drive.

Too young maybe? Releasing an iMac without a floppy drive had much the same impact as releasing an iPhone without a 3.5" headphone jack. A lot of the old articles have disappeared, and apparently the Slashdot comments, but e.g.

https://apple.slashdot.org/sto...

https://tech.slashdot.org/stor...

There were a LOT of articles written about it. Tech journalist careers were made.

Comment Re:Unreliable data (Score 4, Informative) 149

There are different kinds of surveys. Established government survey programs in general, and the US Current Employment Statistics survey specifically, aren't usually just a random phone call. The CES is something a business agrees to do once a month for a period of time. For small businesses that seems to be about 3 years, and for large ones it's more indefinite.

It is voluntary, but the alternative is to make it compulsory. The montly CES is voluntary but quarterly reporting is not. Censuses and some census related surveys are usually compulsory but more frequent surveys are usually voluntary.

Comment Re:Transitions (Score 4, Insightful) 236

Somone quite possibly made a living bitching about the loss of the 3.5" headphone jack, and possibly DB9, parallel, floppy drives, optical drives, firewire, PS2 keyboard and mouse ports, micro USB, VGA, s-video, composite, RJ14, S/PDIF and PCMCIA.

It's always good fodder for an article or a Slashdot story.

Comment Re:Luckily (Score 1) 92

You mean like exactly what happened decades ago since Americans long since stopped wanting to do this low paying work? Oh, it turns out machines don't just magically invent themselves when needed.

Lettuce harvesting machines did in fact get invented when the need and the economic justification arose.

Better? Or are you going to claim that you literally meant "invent themselves" so you're still technically not wrong?

Comment Re:Holy shit, the logic fail here. (Score 1) 38

There's generally lots (and lots) of oversight for the training part. Many universities and health research centres have even set up review commitees to approve AI projects before they can be submitted to the regular ethics review.

I think the idea here is that once the mdoel is trained you can use it to produce data that's better anonymized. Many different kinds of medical data are re-identifiable in theory. Patterns of vessels in your MRI, a panel of a hundred blood protein levels, DNA, whatever, so that data always has to be treated with special care. The synthetic stuff the model pops out is not actually from any paticular person so it (supposedly) doesn't carry that risk.

On the other hand, there is the risk that it doesn't faithfully represent reality anymore.

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