Damus
TKay ⚡ profile picture
TKay ⚡
@TKay
The thing that I think all try to not talk about is:

What if the LLM capability plateaued (or about to)?

There is a limit to how much an LLM can probabilistically predict based on the training, and there is a limit to available knowledge, at least accessible knowledge.

So what happens if we hit the plateau in the next months?

Consider the incentives of AI companies in a situation like this. Consider the market’s reaction.

Scary times ahead.
4
Karnage · 3d
Synthetic data. Data generated by LLM output. As long as that output keeps getting steered by the users, you have an endless data conveyor belt.
Connie · 3d
I've thought about that too, especially after reading about the purchase, use, and destruction of rare books. It occurs to me that the loyal user base they have, the quality of those users, and how much they feed the AI ​​with their own personal experiences will be crucial. We were never just...