What Are the Most Surprising Surprises of the Large Language Model?

I think there will be a small handful of like fundamental large models out there that other people build on but right now what happens is, you know, company makes large language model API other people building on top of it. I'm skeptical of all of the startups that are trying to sort of train their own models. And then those, those companies will create a lot of enduring value because they will have like a special version of,. they won't have created the base model but they will have created something they can use just for themselves or share with others and improve over time. So I think there'll be a lot of value created in that middle layer.

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