GPT for could have like a much better memory and certainly people are, you know, working on all sorts of like schemes for that. Some of the most interesting stuff I've seen recently has been kind of creating a layer of like synthetic memory that sits on top of raw observational memory. And none of those problems can be rescued by any of these fixes, right, like they're just orthogonal problems. But it does seem to me like this GPT for with those weaknesses kind of patch would be roughly at that college under grad level.

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