A perceived shift from AI convergence to more varied approaches
A user says AI development feels more varied after a couple of years of convergence, particularly in the types of AI, training, data and focus.
TLDR
A user sees AI approaches diverging after a couple of years of convergence. They describe it as a slight shift beyond a focus on pure scale toward scaling different things.
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