Percy: I think what's fascinating about these models is if you ask these narrative models to go do something for you in the real world, they don't have a first class sense of what actions are and what affordances are on your computer. How do we train a foundation model of all of the actions that people take on a computer? And once you have that, you have this incredibly powerful base for being able to turn natural language into any sort of arbitrary complexity thing that you would then do on your machine. David: The default path that we're on is increasing scale and increasing data. But the question becomes how do we pull forward the future faster?

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