▲ | ToucanLoucan 5 days ago | ||||||||||||||||||||||
So is OpenAI capable of not making a new model at some point? They've been training the next model continuously as long as they've existed AFAIK. Our software house spends a lot on R&D sure, but we're still incredibly profitable all the same. If OpenAI is in a position where they effectively have to stop iterating the product to be profitable, I wouldn't call that a very good place to be when you're on the verge of having several hundred billion in debt. | |||||||||||||||||||||||
▲ | dcre 5 days ago | parent | next [-] | ||||||||||||||||||||||
I think at that point there is strong financial pressure to figure out how to continuously evolve models instead of changing new ones, for example by building models out of smaller modules that can be trained individually and swapped out. Jeff Dean and Noam Shazeer talked about that a bit in their interview with Dwarkesh: https://www.dwarkesh.com/p/jeff-dean-and-noam-shazeer | |||||||||||||||||||||||
▲ | DenisM 5 days ago | parent | prev [-] | ||||||||||||||||||||||
There’s still untapped value in deeper integrations. They might hit a jackpot of exponentially increasing value from network effects caused by tight integration with e.g. disjoint business processes. We know that businesses with tight network effects can grow to about 2 trillion in valuation. | |||||||||||||||||||||||
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