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Comment Re:Do not be a follower (Score 1) 27

The post at the top of the thread was about "AI". The following posts were about AI. Don't be blinded by the current hype into thinking that;s the whole picture. Just because other developments get less press doesn't mean they aren't happening and aren't important. In the field of biochem, most AI is *related* to LLMs, but is significantly different.

Comment Re:Does anyone care? (Score 1) 27

Yes. I went to check out buying an Apple recently, after an appointment with my ophthalmologist. I wanted a computer that would run reasonably with voice control, as the ads suggested was possible. I decided not to, or at least to wait another year.

Now I have no idea how many people are affected this way, but that is a sign that the deficiencies have caused at least *some* damage to Apple.

Comment Re:This is how it should be (Score 1) 14

My guess is phones and silicon will improve to make 4b on mobile by 2030. If not then those requests will get forwarded to xyz cloud service. I can see a world where 7-12b cloud models are ad supported free tier and you either pay or self host 70-600b yourself. I expect processing requirements to drop by half due to whatever breakthrough comes next and then there's a long tail of improvement after that. Token verification was a major improvement.

Comment Re:Outrage Fatigue is also a factor (Score 1) 167

Yep I login to some of these sites and I see 3-4 tangentally-related things that are clearly algorithm rage-bait, designed to drive user interaction. I'm so tired of this. I login for 10-15 minutes a handful of times a week to check in on friends and family for updates, and then promptly uninstall the app.

Comment Re:But who will train the AI? (Score 1) 68

Probably in 3-10 years there will be a handful of open, legally copyright free training sets anyone can use to train their own ~600b class model with whatever architecture is current state of the art. Researchers are already putting together 7b training sets like this. And LLMs can use tools like search now so they won't always need the most up to date news or info - they can use tools for that instead. Most of finance is analysis of documents, which LLMs have been excellent at for a while now.

Comment Re:Chickens come home to roost (Score 1) 83

Sorry, but this isn't evidence about the quality of the graduates. If they're just out of school you can't tell whether they're good or bad. I trained an astrologer to be a good programmer in less than a year. (Well, he soon moved into management, but he was capable.) HR hired a different astrologer, who was skilled at C. More skilled in the techniques than I was. But he was in love with macros, and used them everywhere, so nobody else could understand his code. It was the second one that had a high SAT score.

Comment Re:Irony at its finest (Score 1) 62

You're confusing "intelligence" with "goals". That's like confusing theorems with axioms. You can challenge the theorems. Say, for instance, the the proof is invalid. You can't challenge axioms (within the system). And you can't challenge the goals of the AI. You can challenge the plans it has to achieve them.

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