Not for nothing but the vast majority of people doing the kind of work that’s done on TV & Film just-so-happen to be geographically co-located for some reason.
It’s possibly worth noting that both activities require humans and even fully operational end-to-end supply chains of rare-earth minerals and semiconductor fabrication. Among many, many other things involved.
I just don’t think we can freely discount that it takes heavy industrial equipment and people and transport vehicles to move and process the raw materials to make LLM/AI tech possible, and that the … excitement has driven those activities to precipitous heights. And then of course transporting refined materials, fabricating end products, transporting those, building and deploying new machines in new data centers around the world, massively increasing global energy demand and spiking it way beyond household use in locales where these new data centers are deployed. And so on and so forth.
I suspect that we will find out someday that maybe LLMs really are more efficient, possibly even somehow “carbon negative” if you amortize it across a long enough timespan—but also that the data will show, for this window of time, that it was egregiously bad across a full spectrum of metrics.
It’s possibly worth noting that both activities require humans and even fully operational end-to-end supply chains of rare-earth minerals and semiconductor fabrication. Among many, many other things involved.
I just don’t think we can freely discount that it takes heavy industrial equipment and people and transport vehicles to move and process the raw materials to make LLM/AI tech possible, and that the … excitement has driven those activities to precipitous heights. And then of course transporting refined materials, fabricating end products, transporting those, building and deploying new machines in new data centers around the world, massively increasing global energy demand and spiking it way beyond household use in locales where these new data centers are deployed. And so on and so forth.
I suspect that we will find out someday that maybe LLMs really are more efficient, possibly even somehow “carbon negative” if you amortize it across a long enough timespan—but also that the data will show, for this window of time, that it was egregiously bad across a full spectrum of metrics.