cross-posted from: https://lemmy.ml/post/20289663
A report from Morgan Stanley suggests the datacenter industry is on track to emit 2.5 billion tons by 2030, which is three times higher than the predictions if generative AI had not come into play.
The extra demand from GenAI will reportedly lead to a rise in emissions from 200 million tons this year to 600 million tons by 2030, thanks largely to the construction of more data centers to keep up with the demand for cloud services.
I remember when scientists were more focused on making AI models smaller and more efficient, and research on generative models was focused on making GANs as robust as possible with very little compute and data.
Now that big companies and rich investors saw the potential for profit in AI the paradigm has shifted to “throw more compute at the wall until something sticks”, so it’s not surprising it’s affecting carbon emissions.
Besides that it’s also annoying that most of the time they keep their AIs behind closed doors, and even in the few cases where the weights are released publicly these models are so big that they aren’t usable for the vast majority of people, as sometimes even Kaggle can’t handle them.