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Comment Re:What's old is new again (Score 1) 41

That wasn't *all* I said, but it is apparently as far as you read. But let's stay there for now. You apparently disagree with this, whnich means that you think that LLMs are the only kind of AI that there is, and that language models can be trained to do things like design rocket engines.

Comment Re:What's old is new again (Score 5, Informative) 41

Here's where the summary goes wrong:

Artificial intelligence is one type of technology that has begun to provide some of these necessary breakthroughs.

Artificial Intelligence is in fact many kinds of technologies. People conflate LLMs with the whole thing because its the first kind of AI that an average person with no technical knowledge could use after a fashion.

But nobody is going to design a new rocket engine in ChatGPT. They're going to use some other kind of AI that work on problems on processes that the average person can't even conceive of -- like design optimization where there are potentially hundreds of parameters to tweak. Some of the underlying technology may have similarities -- like "neural nets" , which are just collections of mathematical matrices that encoded likelihoods underneath, not realistic models of biological neural systems. It shouldn't be surprising that a collection of matrices containing parameters describing weighted relations between features should have a wide variety of applications. That's just math; it's just sexier to call it "AI".

Comment Re: Won't work (Score 1) 47

Google's idea at the time was to use their pull to improve content on the internet, and they started issuing SEO guidelines. They regularly update the guidelines to match whatever they think will be better for the internet, and the SEO consultants follow it like a flock.

It's not entirely wrong, if you have two articles, the longer one is more likely to have more information. As a metric it's easily gamed, and they need to stay on top of that somehow but didn't.

Comment Re:Wrong question. (Score 1) 185

Bill Gates, Steve Jobs, Dylan Field, Evan Williams, Gabe Newell, Jay Koum, Larry Fucking Ellison, Zuck, Michael Dell, and Travis Kalanick are all dropouts to name just a few.

None of those people made advancements at the fundamental level. They all paid someone (or stole from someone) who had a college degree to do the advancements.

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