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Comment Re:Not going to happen anytime soon (Score 1) 124

It's too easy and they refuse to change.

It's not just "easy". Fax is as secure as the phone network we pretend is secure, so if you act on a fax which appears to come from a specific phone number then you have some level of legal protection from liability. If you use a website or email then you are only as protected from liability as your identity verification system.

My monthly bank payments are electronic, but a few don't have bank account destinations, so it gets done via the bank's paper check service.

If I need to deposit a check, I take a photo of it with my cellphone using the bank's app and it gets processed just fine. The MICR font is highly OCRable, so as long as what else is written/printed on it is legible, everything works well. Even if a human has to review it because it was handwritten, they will only have to briefly glance at most checks. The only thing I actually write checks for any more is my rent. The paper check costs me very little and they cost nothing to deposit on the other end. I think the landlord is depositing them in person, because they seem to do them two or so at a time.

Comment Re:I still write about 15 checks a year... (Score 1) 124

E.g. Create a system to digitally scan a shared thing describing a transfer, but instead of using a standard QR code, keep using cheques.

You appear to have not read anything above your comment. I can't do a QR code by hand. I need a printer to produce one. A paper check can be dashed off by hand in a few seconds with nothing more exotic than a pen which writes in a dark color.

Or Adopt a system that finally eliminates the use of unsecured magnetic stripes on credit cards, but then keep the completely unsecure signature for verification.

We haven't even eliminated magstrips. We still have them around for backup. An attacker can disable a chip reader by making a special card that applies epoxy to the contacts when it's inserted, which you can do with e.g. a dremel, forcing subsequent users to fall back to the strip.

It's like a competition to see how close they can get to a good idea while still fucking up the implementation.

That's the US for you. Electoral college, scotus with no term limits, yada yada.

Comment Re: Huh? (Score 0) 198

He's just being a typical American MORE BIGGER FASTER tool. I drive an 08 Versa with a 1.8l with 122hp and I have absolutely no problem being one of the fastest people on the road, because even a slow ass car by modern standards can do all the things. I never have trouble getting up to speed on a ramp or whatever.

Comment Re:Way too early, way too primitive (Score 1) 61

The current "AI" is a predictive engine.

And *you* are a predictive engine as well; prediction is where the error metric for learning comes from. (I removed the word "search" from both because neither work by "search". Neither you nor LLMs are databases)

It looks at something and analyzes what it thinks the result should be.

And that's not AI why?

AI is, and has always been, the field of tasks that are traditionally hard for computers but easy for humans. There is no question that these are a massive leap forward in AI, as it has always been defined.

Comment Re:And if we keep up with that AI bullshit we (Score 1) 61

It is absolutely crazy that we are all very very soon going to lose access to electricity

Calm down. Total AI power consumption (all forms of AL, both training and inference) for 2025 will be in the ballpark of 50-60TWh. Video gaming consumes about 350TWh/year, and growing. The world consumes ~25000 TWh/yr in electricity. And electricity is only 1/5th of global energy consumption.

AI datacentres are certainly a big deal to the local grid where they're located - in the same way that any major industry is a big deal where it's located. But "big at a local scale" is not the same thing as "big at a global scale." Just across the fjord from me there's an aluminum smelter that uses half a gigawatt of power. Such is industry.

Comment Re:Sure (Score 4, Informative) 61

Most of these new AI tools have gained their new levels of performance by incorporating Transformers in some form or another, in part or in whole. Transformers is the backend of LLMs.

Even in cases where Transformers isn't used these days, often it's imitated. For example, the top leaderboards in vision models are a mix of ViTs (Vision Transformers) and hybrids (CNN + transformers), but there are still some "pure CNNs" that are high up. But the best performing "pure CNNs" these days use techniques modeled after what Transformers is doing, e.g. filtering data with an equivalent of attention and the like.

The simple fact is that what enabled LLMs is enabling most of this other stuff too.

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