a lot, like World scale, amount of data and that has repetitively been done WITHOUT permissions from authors of that data
huge amount of data must be processed and this is done in enormous datacenters that consume radically MORE than traditional ones without GPUs
energy and cooling for those very specific new datacenters that then becomes unavailable to the local community, energy produced that is often rushed and typically more polluting
So I think it is fundamental to distinguish
“AI” as a theoretical researcher field, public research focusing on processing CERN data, weather forecast, genomics, medicine, etc that is indeed a tool that might produce results that helps us all
versus
commercialized for-profit “AI” with GenAI and LLMs as blackboxes mostly used for spam, scan, low quality code, etc.
When one amalgamates one with the other, knowingly or not, they do the marketing for the later.
It’s a VERY specific tool that needs
So I think it is fundamental to distinguish
versus
When one amalgamates one with the other, knowingly or not, they do the marketing for the later.