@FaceDeer@fedia.io
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FaceDeer

@FaceDeer@fedia.io

Basically a deer with a human face. Despite probably being some sort of magical nature spirit, his interests are primarily in technology and politics and science fiction.

Spent many years on Reddit and then some time on kbin.social.

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FaceDeer,
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Important to note that the initial form of this treatment is to trigger the growth of teeth that failed to grow in the first place, at least last I read about it. An important first step, but for now it may be dependent on there being an existing "tooth bud" down in the jaw to get going.

I suspect that in the long run we'll need to figure out how to implant a new tooth bud, probably made using the patient's stem cells, to grow replacements for teeth that have been lost later in life.

FaceDeer,
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And let's not pretend that the US isn't a two-party system.

Don't let the perfect be the enemy of the good. Your choices are Trump or Biden.

Reminder: The DMV uses photos for facial recognition

This is half a decade old news, but I only found this out myself after it accidentally came up in conversation at the DMV. The worker would not have informed me if it hadn’t come into conversation. Every DMV photo in the United States is being used for AI facial recognition, and nobody has talked about it for years. This is...

FaceDeer,
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Only those who don't care about privacy and use Windows.

So most people, then.

FaceDeer,
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No significant blockchains use GPUs any more. As for AI training, that produces AIs. It's not wasteful.

FaceDeer,
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Ah, some interesting technology news. Let's read about what new developments are being made-

Oh, wait, Elon Musk is involved. I hate technology! Emerald mines and cave rescue submarines!

FaceDeer,
@FaceDeer@fedia.io avatar

I use AIs for a variety of productive purposes. You may not, and that's fine, but that's just you. You can't dismiss anything that you personally don't have a use for as "wasteful."

FaceDeer,
@FaceDeer@fedia.io avatar

Like what's the problem being solved here?

Training AIs.

FaceDeer,
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Ah yes, the wrong kind of technology.

If it's a "hype cycle" I guess it'll be going away aaaaaany day now.

FaceDeer,
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Okay, so? NFTs aren't AI, and they don't use proof-of-work any more for that matter.

FaceDeer,
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I wasn't. I pointed out that no significant blockchains used GPUs (especially not Ethereum, the main NFT-supporting blockchain, which has transitioned to proof-of-stake instead of proof-of-work). That puts them outside the question of "wastefulness" altogether, and irrelevant to the subject at hand.

FaceDeer,
@FaceDeer@fedia.io avatar

I have no idea what point you're trying to make here. The comment I responded to said:

We really need to tax energy used by GPU-burning projects differently. AI training, blockchain, whatever. Such a wasteful endeavour.

And I pointed out that blockchain doesn't use GPUs any more. NFTs weren't even mentioned specifically. Then the thread went further into discussing AI specifically, not even blockchain at that point, and you jumped in to say "people still use nfts". It was almost a non-sequitur.

I'm not saying anything about NFTs. You don't need to jump in and "defend" them.

FaceDeer,
@FaceDeer@fedia.io avatar

But NFTs aren't wasteful. They're run on a proof-of-stake blockchain, no big computing power is used to back them. Your point about NFTs is false, I didn't mention NFTs in the first place, I don't see the relevance of any of this.

FaceDeer,
@FaceDeer@fedia.io avatar

What exactly are they "wasting?" Ethereum switched to proof-of-stake on 15 September 2022. If you are still criticizing NFTs for their environmental impact you're a year and a half out of date.

FaceDeer,
@FaceDeer@fedia.io avatar

You didn't answer the question. What exactly are they wasting? And what does this have to do with AI at this point, anyway? You jumped in with this NFT thing and I still fail to see the relevance.

FaceDeer,
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The ones I found most amusing were the "I was hoping this was for real but it's just a gag product" ones. If you really believe this stuff works, wouldn't a "gag product" still work just as well?

FaceDeer,
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Oh no, they accommodated our desires and removed the requirement that we hated. The bastards.

FaceDeer,
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Joke's on you, Sun. We can just leave. Or maybe even fix you.

(So many doomer "we'll kill ourselves first" responses in this thread. How science of everyone.)

FaceDeer,
@FaceDeer@fedia.io avatar

You're talking like we're gonna be building a Dyson sphere (or swarm) in the next 20 years?

Hardly. We have plenty of time for that, there's no rush.

Or colonize outer planets? It's science fiction...at least for next few 100 years.

Again, a few hundred years is nothing. The sun won't become problematic for a few hundred million years.

We can't rely on a deus ex machina save.

Things like Dyson swarms and star lifting are not "deus ex machina", they're scientifically rigorous proposals.

if we aren't strong enough for that, I don't think we're getting anywhere near K-II.

Getting to K-II means not needing the planet we evolved to live on.

ChatGPT Answers Programming Questions Incorrectly 52% of the Time: Study (gizmodo.com)

The research from Purdue University, first spotted by news outlet Futurism, was presented earlier this month at the Computer-Human Interaction Conference in Hawaii and looked at 517 programming questions on Stack Overflow that were then fed to ChatGPT....

FaceDeer,
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No, they're useful because they produce useful machine code.

FaceDeer,
@FaceDeer@fedia.io avatar

It's useful because it does the stuff we want it to do.

You're focusing on a very high level philosophical meaning of "usefulness." I'm focusing on what actually does what I need it to do.

FaceDeer,
@FaceDeer@fedia.io avatar

So if something isn't perfect it's not "useful?"

I use LLMs when programming. Despite their imperfection they save me an enormous amount of time. I can confidently confirm that LLMs are useful from personal direct experience.

FaceDeer,
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And humans aren't?

FaceDeer,
@FaceDeer@fedia.io avatar

It's not, actually. Hallucinations are things that effectively "come out of nowhere", information that was not in the training material or the provided context. In this case Google Overview is presenting information that is indeed in the provided context. These aren't hallucinations, the AI is doing what it's being told to do. The problem is that Google isn't doing a good job of providing it with the right information to summarize.

My suspicion is that since Google is using this AI for all search results it's had to cut back the resources it's providing to each individual call, which means it's only being given a small amount of context to work from. Bing Chat does a much better job, but it's drawing from many more search results and is given the opportunity to say a lot more about them.

FaceDeer,
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They licensed Reddit to do what they want with it by agreeing to Reddit's ToS.

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