Why the rise of open source AI isn’t hurting Anthropic … yet
Open-source models’ success isn’t coming at the expense of frontier labs. Instead, they each seem to capture two phases of the same life-cycle.
BAIR Blog·
... government of the people, by the people, for the people ... The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1, and some providers are pushing costs below $0.10. Across benchmarks, inference prices have fallen between 9x and 900x per year, with a median decline near 50x. Even frontier models are getting dramatically cheaper each generation, with open-source models following closely behind. And crucially, even if “Nobel-Prize-winning genius-level” intelligence isn’t here yet, the intelligence that suffices for the vast majority of knowledge work is here today, and getting cheaper by the month. At this rate, we are soon entering the era of virtually free intelligence—the kind that is more than enough for everyday knowledge work. Aditya G. Parameswaran—an Associate Professor of EECS and co-director of the EPIC Data Lab at UC Berkeley—together with his collaborators. It is part landscape survey an
Read full articleOpen-source models’ success isn’t coming at the expense of frontier labs. Instead, they each seem to capture two phases of the same life-cycle.
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