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Comment Re:Fear of irrelavancy (Score 1) 166

Except for trivial cases I don't think that is really true yet.

I agree in general, but not with this strong phrasing. I've let AI build a good amount of non-trivial code. But my consistent experience is that it works best when guided by an experienced coder who can correct it, and when implementing well-known algorithms rather than coming up with novel solutions.

Example: I let it write up a quadtree implementation in a language for which there was no ready solution online. It took 2-3 correcting prompts to get a good result. I could've done it myself but it would've likely taken a few hours to get it all right instead of the half or so hour it took with AI. The important part for me was that there's nothing unknown in how to implement a quadtree. All the AI needs to do is take the 100s of existing implementations and translate them into a different language.

Comment Re:Fear of irrelavancy (Score 1) 166

so some coders are becoming modern day Luddites

True but too simplified. The Luddites had an entirely different motivation: The fact that factories now employed women and children at very low rates meant that the men lost their status in the family as bread winners and head of household. That was a major social disruption, which we don't have with AI.

I'd compare it more to teamsters or wagoners when cars became common. Your job is threatened by a different way of doing the same thing, a way to which your skills don't cleanly transition. Some choose to pick up the new tech, some want the old ways to persist.

In the end, coachmen became chauffeurs, because rich people prefer to be driven around oder driving themselves, no matter if it's a horse or an engine doing the pulling. But much fewer teamsters and wagoners became truck drivers.

Comment Re:UK police false positives on facial recognition (Score 2) 86

Thanks, that is very interesting. But something smells fishy.

1. 1 false positive from "over 641,533 faces" seems too good to be true. Very few systems of any kind are that good, and facial recognition? I don't buy it. And that's an oddly specific number to be "over". It does not pass the smell test.

2. "Shows no bias" is similarly too good to be true and doesn't pass the smell test. Didn't Apple have some problem in the last year or two with trying to spiff up faces, where black skin didn't work as well? "No bias" is not credible.

3. "Zero unlawful arrests" is weasel words. Just because an arrest has conformed to various legal standards, such as having a warrant, being cautioned, not beaten up, etc, does not make it a proper arrest. Lots of people are acquitted at trial after having been lawfully arrested.

4. The rate has not changed. Well, yes, it must have, if this is the false positive rate, since it presumably once upon a time had 0 false positives and now has 1, and the denominator has been increasing all this time unless the first 641,533 faces were all recognized in the first day.

5. The only credible answer. There may well be no national false positive rate.

But it's an interesting response. Thanks.

Comment Re:Yeah what you want is irrelevant (Score 1) 86

I don't know what she's been doing. But from the fact that it took 40 years to track her down, and that only because a non-cop found her, I'd say the evidence is strong I know what she *hasn't* been doing -- terrorism, or training terrorists.

Seriously, if she's been living for 40 years training terrorists who haven't done anything to draw attention to themselves or her, she's either been running a false flag terrorist school with the government's connivance, or she hasn't been running a terrorism school.

If society wants to punish her for what she did 40 years ago, fine. But stop pretending the police took a dangerous terrorist off the streets.

Comment Re:A 67 year old woman living in hiding (Score 1) 86

Might DOES make right; that's how government works. One definition is a monopoly on "legal" violence within their territory, although they aren't very good at it, considering how many riots there were in 2020 and the two autonomous zones where city governments surrendered their monopoly for a spell.

Comment Insufficient and misleading data (Score 3, Insightful) 86

If you want to make the case that government should use facial recognition, you'll need some real data.

* One success ... how many false positives -- how many people were wrongly tagged? How many false negatives -- how many times was this woman seen but not tagged? Was she a hermit and this was her first public appearance in 40 years?

* How recent were the pictures of her which were the basis of her being tagged? Do you really want us to believe the only success story you have is based on artificially aging her photograph by 40 years?

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