Comment by pixl97
20 hours ago
>They had to burn millions of dollars to solve a single problem
I'd like to adjust that to "They had to burn a lot of energy (create a lot of entropy) to solve a single problem. As we go into the super-intelligence age the current paradigm of money as humans understand it may break at some point. For example to a paperclip-maximizer money at best is a short term instrumental goal, hard power of matter conversion machines is what it wants and once it has those money no longer has purpose.
I'd wager a fair chunk of my money that money breaks OpenAI before OpenAI breaks money.
OpenAI != AI.
If you were in 1999 you'd be saying pets.com = internet.
I think this leads to an interesting question. What happens when the money runs out?
Right now, a lot of money is going to train new models. And we need to train new models because they get gated by their training data. And models are only as useful as their training data.
So let's say the money stops.
Do we stop training models? Do we train them slowly? Do we accept the then current models as the limit?
2 replies →
yeah yeah yeah. I agree that AI is and will be a very useful tool, it's just not going to be worth $30T like OpenAI/Anthropic are pretending.