They probably will. Given how fast GPT 5 is, it feels like all the models are very small.
Maybe to service more users they're thinking they'll shrink the models and have reasoning close the gap... of course, that only really works for verifiable tasks.
And I've seen the claims of a "universal verifier", but that feels like the Philosopher's Stone of AI. Everyone who's tried it has shown limited carryover between verifiable tasks (like code) to tasks with subjective preference.
-
To clarify also: I don't think this is nefarious. I think as you serve more users, you need to at least try to reign in the unit economics.
Even OpenAI can only afford to burn so many dollars per user per week once they're trying to serve a billion users a week. At some point there isn't even enough money to be raised to keep up with costs.
Maybe to service more users they're thinking they'll shrink the models and have reasoning close the gap... of course, that only really works for verifiable tasks.
And I've seen the claims of a "universal verifier", but that feels like the Philosopher's Stone of AI. Everyone who's tried it has shown limited carryover between verifiable tasks (like code) to tasks with subjective preference.
-
To clarify also: I don't think this is nefarious. I think as you serve more users, you need to at least try to reign in the unit economics.
Even OpenAI can only afford to burn so many dollars per user per week once they're trying to serve a billion users a week. At some point there isn't even enough money to be raised to keep up with costs.