If I understand correctly, the cost of training each next model is the biggest cost - and much of why so much capex has been required. I have also seen it stated that e.g. OpenAI could be profitable right now if they stopped spending on the next model (not sure I'm convinced of that though).
Given that a half (or 80% or whatever) trained model is worthless, there is a threshold for each new model cycle to continue. As soon as the anticipated ROI fails to justify that cost, new model production stops. Dead.
Old models will still be used, but will become more and more out of date, and less and less useful. This will be the end of AI.
(sorry, paraphrasing/developing my comment on an earlier thread)
Given that a half (or 80% or whatever) trained model is worthless, there is a threshold for each new model cycle to continue. As soon as the anticipated ROI fails to justify that cost, new model production stops. Dead.
Old models will still be used, but will become more and more out of date, and less and less useful. This will be the end of AI.
(sorry, paraphrasing/developing my comment on an earlier thread)