In this case, sure, but there are many models you’d a run locally with a decent gou that can produce similar if not better results.

The shipping industry emits a billion tons of CO₂e per year. Training a model emits… maybe a thousand? An impact that could be offset by reducing Chinese imports by 0.0001%. Or arbitrarily limited by strong-arming the very few companies involved. DeepSeek knocked off a few orders of magnitude and R1 seems to work, as well as any of these things work.

Now, it is a problem locally, where datacenters double power and water use for any given county. Anything like a tiny sliver of the global shipping industry becomes noticeable when it’s concentrated in one building within range of a commute.

But local models can’t be worse than playing a video game. And if remote models use ten times more, it’s only as bad as a round of DOTA.

This is true, but to be fair we’ve been pushing that accelerator long before AI was even close to a thing. It’s a problem, but it’s hardly the only one that we could stop doing… and we won’t stop any of them, based on history so far.

Please tell me who lost their job because of this clip? What fucking food is this 30 second video clip taking out of whose mouth?