Comment by Workaccount2
10 days ago
If they stop getting returns in intelligence, they will switch to returns in efficiency and focus on integration, with new models being trained for new data cutoffs if nothing else. Even today there is at least a 5-10 year integration/adoption period if everything halts tomorrow.
There is no reality in which LLMs go away (shy of being replaced).
> If they stop getting returns in intelligence, they will switch to returns in efficiency
I don't think we can assume that people producing what appear to be addictive services are going to do that, especially when they seem to be addicted themselves.
Is adding new data to a model a full retraining from scratch? Or can it be added on top of an existing model?
If it costs $10B to add 1 year of data to an existing model, every year, that doesn’t sound too good.
They probably are getting a bonanza of intelligence from people using them.