| ▲ | chrismarlow9 5 hours ago | ||||||||||||||||||||||||||||||||||
I don't remember where I heard this, but one of my favorite criticisms of the current AI situation is that it's wrong simply because of the size and energy required compared to the human brain. The idea is that there's still some element missing thats fundamental, and that the way we train them now is part of the solution, but not all of it. I think finding the extra missing element is going to take an entirely different approach that will also solve the sizing and resource issue. The kickers is that if they do achieve (and solve) AGI in this way all the giant data centers would be mostly useless. | |||||||||||||||||||||||||||||||||||
| ▲ | frabcus 4 hours ago | parent | next [-] | ||||||||||||||||||||||||||||||||||
Yes, the very explicit plan of both OpenAI and Anthropic is to use the not particularly efficient LLMs to automate their own AI engineering. That seems to be going well - on coding front and model tuning front so far. They have more planned. And then use those to find fundamentally better new architectures for AI - that perhaps are as efficient as the human brain. It might not work, but I didn't think it'd solve maths problems... So it might work. And if it happens, they'd use the data centres to run millions of instances of it. It's scary, TBH. | |||||||||||||||||||||||||||||||||||
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| ▲ | nater5000 4 hours ago | parent | prev | next [-] | ||||||||||||||||||||||||||||||||||
I mean, the plan is to use these models to find and solve those gaps. That's kind of the whole pitch of these companies: they spend a TON of money upfront setting up this infrastructure, but each iteration yields a system capable of making the next iteration even better. >The kickers is that if they do achieve (and solve) AGI in this way all the giant data centers would be mostly useless. Perhaps. But only at that point, not leading up to that point. It's kind of like setting up scaffolding to build something. You spend all of that time and money to build something just to tear it down in the end. But the point is that it's simply a cost to be able to build the actual thing you're building. If these companies are able to achieve the results they're looking for, none of the investors involved are going to care that the datacenters and infrastructure they spent so much money. | |||||||||||||||||||||||||||||||||||
| ▲ | scrollaway 4 hours ago | parent | prev [-] | ||||||||||||||||||||||||||||||||||
If we manage to get to AGI and it looks, works and behaves like a human brain... I mean, cool, but that's a very useless AGI compared to the incredible stuff we have access to today. The HN crowd I'm sure will still be unhappy calling it AGI because "it's not AGI unless its speech comes from the cerebral cortex region of the brain, otherwise it's just sparkling emoji" or something. | |||||||||||||||||||||||||||||||||||
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