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What do you think of the current wave of agents spawning off - given that reasoning still needs a lot of grounding?

With the probabilistic models at hands, adding reasoning and planning in some sense falls back to traditional software and system design. Do you see any plausible breakthroughs in this area with agent frameworks?

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I'm actually working on this area. I don't see any clear breakthroughs yet, but this is a very exciting area.

There is a lot that is not clearly understood about some of the emergent-style abilities of these models or where growth by scaling will hit a limit.

So looking into reasoning, what they can and can't do, and what tools/designs, can provide benefits has great potential to inform the next generation of models.

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