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Stanford economist and former Acemoglu colleague who projects substantially greater AI productivity gains and is described as the main scholar showing potential AI job losses.
No evidence-backed relationships are recorded.
A new cost analysis puts OpenAI's frontier model at half Anthropic's price per benchmark task. The retry and cleanup arithmetic behind that number is less settled than the price sheet.
Reality
A July 13 statement of eighty-eight words has collected close to 2,000 signatures and 17 Nobel laureates. The measurement work it implies has not been done inside a single company.
Reality
The MIT economist told Fortune that AI is neither a stochastic parrot nor a guaranteed win, and that adoption evidence outside coding is thin. Both halves bear on how you size spending.
Reality