First of all, Alex 'Sandy' Pentland is somebody with a lot of bonafides in the sector.
Anyway, Pentland talks about large language models as a way to “bring together all of the correlational structure in a large database.” That’s a good way of describing it, I think, and promotes the core ideas that he mentions later.
Merging things in a natural way, he suggests, brings forth a new interface that's going to be central to our AI applications. Anyway, he makes an interesting analogy: from bookkeeping to AI effects on different demographics, suggesting that companies will have to keep very detailed records of what they're doing with AI.Where large language models are easy to load and use, he says, the big question is where the data comes from.
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