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I imagine that going forward, the typical approach would be a multi-level LLM, such that there's a relatively small and quick model in front of the user, which can in turn decide to consult an "expert" larger model as part of its "system 2".


Absolutely, that is 100% the way things are going to go. What's going to happen is that eventually there will be an online model directory that a local agent knows how to query to identify other models to call in order to build up an answer. Local agents will be empowered with online learning since it won't be possible to pre-train on the model catalog.


And then at the top of that stack, we’ll have a single, master model controlling everything.

We could call it the Master Control Program.




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