[82lsju]

The AI CEO (any of them) is motivated to say things like "50% of white collar jobs will be eliminated by AI" because that is the whole value proposition for AI. AI companies aren't making money on people making their own little Ghibli style images, they make money if other business buy their stuff so they can fire their workers or hire less of them.

Maybe the CEO's are right, and I certainly believe there will be some job impacts. But I also think there is a lot of self-serving hype in the AI space too.

AI's are bad at math because they are language models, not computational models. It's just using prediction based on the words you enter, not actually doing any math.

AI is weird because it's good at things computers aren't supposed to be good at, and bad at things they are supposed to be good at.

I wonder about when will the hyperscalers generate enough revenue to justify the capital expenditures (each spending ~$100 billion/year) they are making in "AI data centers", and what will the be the useful life of the servers in those datacenters.....

https://www.srgresearch.com/articles/hyp...r-capacity

[82lsju]

The AI CEO (any of them) is motivated to say things like "50% of white collar jobs will be eliminated by AI" because that is the whole value proposition for AI. AI companies aren't making money on people making their own little Ghibli style images, they make money if other business buy their stuff so they can fire their workers or hire less of them.

Maybe the CEO's are right, and I certainly believe there will be some job impacts. But I also think there is a lot of self-serving hype in the AI space too.

AI's are bad at math because they are language models, not computational models. It's just using prediction based on the words you enter, not actually doing any math.

AI is weird because it's good at things computers aren't supposed to be good at, and bad at things they are supposed to be good at.

I wonder about when will the hyperscalers generate enough revenue to justify the capital expenditures (each spending ~$100 billion/year) they are making in "AI data centers", and what will the be the useful life of the servers in those datacenters.....

https://www.srgresearch.com/articles/hyp...r-capacity