We’ve recently published an opinion piece in the Communications of the ACM, where we ask machine learning researchers and engineers to consistently report their compute usage.

If this norm was widely adopted, it would allow us to better discern to what degree improvements in AI have been driven by scale rather than novel algorithms, it would help forecast the emergence of novel AI capabilities and it would provide a tangible lever around which external and internal regulation could be developed.

To facilitate the estimation and reporting of compute usage, we have prepared an interactive calculator that you can find in our report Estimating Training Compute of Deep Learning Models.

You can read the opinion piece here.