Is inference really profitable? Maybe in and of itself, but these companies use so many accounting tricks that it's hard to tell. Every new model requires huge R&D and capital expenditures, which have to be amortized over the lifespan of the product, which isn't infinite since these companies rely on constant expansion to stay in the hype cycle. Could Open AI turn a profit if it stuck to selling it's current models and cut its R&D and capital spending to something similar to a normal company? Or does it require the constant promise of a super product to keep the hype cycle going?
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That might be the official definition, but I don't know that it's broken out in practice. I included the prison population because when I was looking at the DoL's county by county maps, I noticed that Forest County, PA had a male labor force participation rate of only 8.2%. Being familiar with the area, I knew that the state prison at Marienville skews all of the demographic statistics, as it contains 2300 people in a county that only has about 6900 total. By contrast, Cameron County is similarly small and mostly forested, with no large population centers and no industry, and it has a male workforce participation rate of 81%, and no prison. I don't know if the prison population affects the numbers on a national scale, but given the local breakdown it seemed like I should take that into consideration.
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