one_old_coder comments on First patient in live AI-assisted sight-saving brain surgery: The first use of AI to support a neurosurgeon in real time during live surgery protected the sight of a man having a brain tumour removed

[–] one_old_coder@piefed.social 39 points 2 months ago (11 children)

it has been exposed to a breadth of surgical examples

So... machine learning, and a misleading article.

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[–] floquant@lemmy.dbzer0.com 37 points 2 months ago (1 child)

It is AI but not a GPT/LLM model. I also hate the current usage of the word.

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[–] isVeryLoud@lemmy.ca 7 points 2 months ago

I was gonna ask, "what kind of AI"

We really need to stop using the catch-all term AI, because it's designed to let OpenAI and Anthropic take credit for everything ML and NN-related, and then even some.

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[–] pulsewidth@lemmy.world 3 points 2 months ago

Likely multi-tech system, could even be part expert system AI as they're often used in the medical field. They haven't really explained much about the underlying tech they're using here, except that it was trained on expert data.

Whereas, I think if they could sell this exclusively as a LLM success story it would be mentioned by acronym in the release several times to gain media buzz for the research/publication.

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[+] obelisk_complex@piefed.ca -7 points 2 months ago* (last edited 2 months ago) (6 children)

[deleted]

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[–] TheFogan@programming.dev 14 points 2 months ago (1 child)

The point is, they are using the functional specialized machine learning systems, as a way to justify building thousand of data centers to build LLMs.

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[–] gastroglizzy@piefed.social 4 points 2 months ago* (last edited 2 months ago) (1 child)

What exactly do YOU think LLMs are?

Machine Learning is a kind of AI. LLMs are but one kind of Machine Learning Model. All LLMs are Machine Learning models, but not all Machine Learning models are LLMs. LLMs are one kind of AI, but not all AI is an LLM.

They're different words for a reason. If they were all the same thing, we wouldn't give them different names. It's completely possible and understandable that someone would find one acceptable but not the other.

Sources:
https://en.wikipedia.org/wiki/Machine_learning#
https://en.wikipedia.org/wiki/Large_language_model

There's nothing quite so uniquely irritating as someone who holds a strong opinion on something about which they know very little.

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[–] PurpleFanatic 1 point 2 months ago (1 child)

But did you double check what it generated about the sources? These LLMs are vastly prone to lying about things. Which is why I feel like they’re nearly completely useless.

If I have to treat everything it says as a lie, especially if it won’t source or substantiate its claims, then what good is it? If I have to manually verify everything, I may as well look it up myself.