curl-6 said:
The legal stuff and others works done by AI are plagued with errors though because LLMs hallucinate and can't differentiate true from false data.
Given the flipside is deepfake revenge/child porn, rampant misinformation, a pretense for suits to lay off workers, slop infesting every corner of the internet, scams, environmental destruction, prices for RAM and stuff going through the roof, a bubble that threatens to crash the economy and more, I'd say the bad still far outweighs any good.
|
It's amusing that people keep repeating this since they have no idea how much water is used by typical agricultural and industrial processes. A large datacenter consumes roughly as much water as the beef used by six burger joints, and golf courses in the US consume around 25x more of it than all datacenters combined. Not to mention the runoff from a datacenter is warmer water... the runoff from a blue jeans factory will literally kill you.
As for errors, retrieval-augmented generation has by large reduced the rate of hallucinations in the past year or so. Even for offline mode, the hallucination rate changes considerably across models. They can actually learn to distinguish between what is encoded in their weights and what is not, though no one besides maybe Anthropic is paying much mind to solving it in reinforcement learning.
CosmicSex said:
Sure but at what cost. I'm serious. This needs 2 5090 cards. Its starting to feel like they are going to use Instagram filters to push $6000 cards. The practice of generating value by forcing the AI generated look onto games and pretending this is what people seek.
|
The algorithmic cost for deep learning techniques drops massively year on year. It'll probably be running on most (50-series?) consumer cards by the time it launches. At least one would hope so, Nvidia probably isn't stupid enough to release it for just a single very expensive, supply-constrained card.