Nvidia CEO Jensen Huang told Lex Fridman in a Monday podcast interview that he believed AGI had been achieved, then seemed to slightly walk back the claim.
So are we.
Your definition of AI also seems off. It’s a field of computer science dealing with seemingly cognitive algorithms. Basically everything that is not rule based programming.
I work in AI production since over ten years. It is absolutely valid and necessary to hate AI, but not to deny technical functionality.
Also the other answer to your comment: of course training a neural network is a form of learning. Wether it is by reinforcement or by training data.
There are many applications of ML since many years before LLMs, it makes no sense to deny that it exists.
The best description I’ve ever heard of LLMs is “a blurry jpeg of the internet”. From the perspective of data compression and retrieval, they’re impressive… but they’re still a blurry jpeg. The image doesn’t change, you can only zoom in on different parts of it and apply extra filters, and there’s nothing you can truly do about the compression artifacts (what we call “hallucinations”). It can’t think, it can’t learn, it just is, and that’s all it will ever be.
LLMs aren’t AI, let alone AGI.
They’re fucking prediction engines with extra functions.
So are we. Your definition of AI also seems off. It’s a field of computer science dealing with seemingly cognitive algorithms. Basically everything that is not rule based programming. I work in AI production since over ten years. It is absolutely valid and necessary to hate AI, but not to deny technical functionality. Also the other answer to your comment: of course training a neural network is a form of learning. Wether it is by reinforcement or by training data. There are many applications of ML since many years before LLMs, it makes no sense to deny that it exists.
It’s an industrial sized prediction engine. And when you apply that to bioscience, it predicts things that saves lives.
The best description I’ve ever heard of LLMs is “a blurry jpeg of the internet”. From the perspective of data compression and retrieval, they’re impressive… but they’re still a blurry jpeg. The image doesn’t change, you can only zoom in on different parts of it and apply extra filters, and there’s nothing you can truly do about the compression artifacts (what we call “hallucinations”). It can’t think, it can’t learn, it just is, and that’s all it will ever be.