What should AI models actually do?

The word of the year so far has been "agentic", and for good reason. Instead of a model relying on having all of the information in the world embued in the parameters, models can now make calls out to either retreive information for context, or perform actions. Despite this, LLMs have gotten larger and larger to attempt to accrue more knowledge and intelligence into the increased number of parameters. What if we were to move in the other direction, and maximally utilize external services for data retreival, and have knowledge fed into context, while the model itself can instead focus on providing the intelligence to put it together.

Where would the line be drawn on how much the model needs to know vs retreive?

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