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barsoap

barsoap@lemm.ee
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Speaking of, Scovilles should generally be listed on packaging, also, when you buy raw chillis, some approximate number of what you can expect. At least for stuff over what 500 or so.

Their tamest ones have ~9000, that’s 3x red Sriracha meanwhile there’s other products on the shelves where “extra hot” means 2000 SCU no wonder people are calling poison hotlines.

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Won’t last for long because deflation is built into bitcoin and every sane state matches monetary supply to economical output to keep prices stable. El Salvador isn’t doing that anyway, though, otherwise using USD, or getting many tax payments in bitcoin, the thing being about as liquid as asphalt, so it doesn’t really change much.

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That’s already the nvidia approach, upscaling runs on the tensor cores.

And no it’s not something magical it’s just matrix math. AI workloads are lots of convolutions on gigantic, low-precision, floating point matrices. Low-precision because neural networks are robust against random perturbation and more rounding is exactly that, random perturbations, there’s no point in spending electricity and heat on high precision if it doesn’t make the output any better.

The kicker? Those tensor cores are less complicated than ordinary GPU cores. For general-purpose hardware and that also includes consumer-grade GPUs it’s way more sensible to make sure the ALUs can deal with 8-bit floats and leave everything else the same. That stuff is going to be standard by the next generation of even potatoes: Every SoC with an included GPU has enough oomph to sensibly run reasonable inference loads. And with “reasonable” I mean actually quite big, as far as I’m aware e.g. firefox’s inbuilt translation runs on the CPU, the models are small enough.

Nvidia OTOH is very much in the market for AI accelerators and figured it could corner the upscaling market and sell another new generation of cards by making their software rely on those cores even though it could run on the other cores. As AMD demonstrated, their stuff also runs on nvidia hardware.

What’s actually special sauce in that area are the RT cores, that is, accelerators for ray casting though BSP trees. That’s indeed specialised hardware but those things are nowhere near fast enough to compute enough rays for even remotely tolerable outputs which is where all that upscaling/denoising comes into play.

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Sounds like an expert system then (just judging by the age) which was AI before the whole machine learning craze, in any case you need to take the same kind of care when integrating them into whatever real-world structures there are.

Medicine used them with quite some success problem being they take a long time to develop because humans need to input expert knowledge, and then they get outdated quite quickly.

Back to the system though: 35 questions is not enough for these kinds of questions. And that’s not an issue of number of questions, but things like body language and tone of voice not being included.

so it’s probably just some points assigned for the answers and maybe some simple arithmetic.

Why yes, that’s all that machine learning is, a bunch of statistics :)

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The way to use these kinds of systems is to have the judge came to an independent decision, then, after that’s keyed in, the AI spits out theirs and whichever predicts more danger is then acted on.

Relatedly, the way you have an AI select people and companies to get spot-checked by tax investigators is not to show investigators the AI scores, but mix in AI suspicions among a stream of randomly selected people.

Relatedly, the way you have AI involved in medical diagnoses is not to tell the human doctor results, but suggest additional tests to be made. The “have you ruled out lupus” approach.

And from what I’ve heard the medical profession actually got that right from the very beginning. They know what priming and bias is. Law enforcement? I fear we’ll have to ELI5 them the basics for the next five hundred years.

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European police is very much armed. Also the UK has armed units even if your usual beat cop is limited to pepper spray and a baton or whatnot.

Elsewhere police regularly carry pistols, but are also trained in how to not use them. In my state there’s even an assault rifle (actual one) in every police car. Decades pass without anyone getting shot.

I think it’s a blend, in my example the police would bring them into custody, and then trained people work with them after that working out what happened and working with the justice department.

Nope. Police is not trained to deal with e.g. a psychotic person seeing zombies, if they try to take them into custody they’re only going to make things worse. It’s fine if police are first to the scene, but they should be trained enough to a) recognise that the person is psychotic, not actually threatening anyone b) call for backup from the people in white coats with haloperidol shots and c) shoo away bystanders. Perimeter duty. Yes, after 2 1/2 years training you’re on perimeter duty get used to it that’s your job.

The US approach to a paranoid schizophrenic scared shitless seems to be to make it worse by laying siege and throwing flashbangs.

There are many things that police aren’t needed at, like domestic issues, but there are plenty we do need them at too.

That’s probably the bulk of what beat cops are doing over here, short of investigating noise complaints on behest of the municipality and documenting traffic accidents, car thefts, maybe a break-in, whatever. Which is also why they always, and I mean always, come in male/female pairs.

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If you can’t see how that’s a (small) puzzle piece of a long-term strategy then I can’t help you either.

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GDPR etc. are the tip of the iceberg when it comes to EU regulations. Plenty of them apply to stuff where the EU is world-leading, also very far-reaching ones. Compared to REACH, GDPR is quite low-impact indeed.

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Stipend. Dividend. Stimulus. Welfare. The dole.

Allowance. Patronage. Sponsorship. Trust fund payout.

From all the – granted, limited – data we have UBI is an absolute win, mostly because it allows people to make long-term plans and investments. People living paycheck to paycheck might be easy to exploit, but they’re also not very economically productive. And, no, despite all that neolib propaganda exploiting people to bolster stock market valuation has never led to macroeconomical productivity. The increases we had were despite the exploitation, not because of it.

Contrast with microcredit, which has a spotty at best track record. And that’s before loan sharks got into the business.

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“Uncontacted”, in this instance, is more like “They’re talking to other indigenous folks in the vicinity once every couple of years and it is generally known that they want to be left alone so Peru doesn’t insist on issuing everyone ID cards and considers them sovereign regarding criminal law and stuff”.

They’re already resistant against the usual bugs and as far as illegal loggers, poachers etc. are concerned: Those don’t give a rat’s arse about whether a tribe wants to be left alone or not. Or whether whoever they come across is indigenous or not.

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