Why does it matter?
A 125-fold compute increase would keep scaling pressure high through the end of the decade.
Direct quote
Forecasts suggest that the computational power used to train the largest AI models could grow 125-fold by 2030 without hitting hard limits in energy, chips, or data.
International AI Safety Report