this post was submitted on 21 Oct 2024
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[–] [email protected] 17 points 1 day ago

AI companies specializing in spreading bullshit all across the internet have a bright future however

[–] [email protected] 14 points 1 day ago (2 children)

So, I have clients that are actively using AI on a daily basis and LOVE it. It is however a very narrow subset. Also, I’m pretty sure that a LARGE amount of Dollars are currently being spent on AI generated political articles.

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[–] [email protected] 76 points 2 days ago* (last edited 2 days ago) (1 children)

As a major locally-hosted AI proponent, aka a kind of AI fan, absolutely. I'd wager it's even worse than crypto, and I hate crypto.

What I'm kinda hoping happens is that bitnet takes off in the next few months/years, and that running a very smart model on a phone or desktop takes milliwatts... Who's gonna buy into Sam Altman $7 trillion cloud scheme to burn the Earth when anyone can run models offline on their phones, instead of hitting APIs running on multi-kilowatt servers?

And ironically it may be a Chinese company like Alibaba that pops the bubble, lol.

[–] [email protected] 27 points 2 days ago (4 children)

If bitnet takes off, that’s very good news for everyone.

The problem isn’t AI, it’s AI that’s so intensive to host that only corporations with big datacenters can do it.

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[–] [email protected] 1 points 1 day ago

It's a lead bubble

[–] [email protected] 33 points 2 days ago (17 children)

10 to 30? Yeah I think it might be a lot longer than that.

Somehow everyone keeps glossing over the fact that you have to have enormous amounts of highly curated data to feed the trainer in order to develop a model.

Curating data for general purposes is incredibly difficult. The big medical research universities have been working on it for at least a decade, and the tools they have developed, while cool, are only useful as tools too a doctor that has learned how to use them. They can speed diagnostics up, they can improve patient outcome. But they cannot replace anything in the medical setting.

The AI we have is like fancy signal processing at best

[–] [email protected] 16 points 2 days ago (1 children)

Not an expert so I might be wrong, but as far as I understand it, those specialised tools you describe are not even AI. It is all machine learning. Maybe to the end user it doesn't matter, but people have this idea of an intelligent machine when its more like brute force information feeding into a model system.

[–] [email protected] 24 points 2 days ago (7 children)

Don't say AI when you mean AGI.

By definition AI (artificial intelligence) is any algorithm by which a computer system automatically adapts to and learns from its input. That definition also covers conventional algorithms that aren't even based on neural nets. Machine learning is a subset of that.

AGI (artifical general intelligence) is the thing you see in movies, people project into their LLM responses and what's driving this bubble. It is the final goal, and means a system being able to perform everything a human can on at least human level. Pretty much all the actual experts agree we're a far shot from such a system.

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