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In your blog you say:

> deep learning doesn't allow models to generalize properly to out-of-distribution data—and that is precisely what we need to build artificial general intelligence.

I think even (or especially) people like Altman accept this as a fact. I do. Hassabis has been saying this for years.

The foundational models are just a foundation. Now start building the AGI superstructure.

And this is also where most of the still human intellectual energy is now.



You lost me at the end there.

These statistical models don’t generalize well to out of distribution data. If you accept that as a fact, then you must accept that these statistical models are not the path to AGI.




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