[lostdog]

The emissions of ML are not a special category. It's like caring about the emissions of addition vs subtraction, but ignoring every other math operation.

Training is infrequent, and everyone involved cares about making training more efficient and faster.

If you care about emissions, then tax, penalize, and regulate emissions. Everyone doing ML will then look at what's costly, and adjust how they use ML models to fit their budget.

Frankly, ML is the best and most efficient way to solve many important problems. For some problems, it's the only technique that works. Trying to limit ML as though it's a special source of emissions is one of the most counterproductive lines of thinking I've ever come across.