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I suppose they don't because they want to be respected, and the LLM companies that got big think they are past needing to have respect for the people who's jobs and ways of living they want to automate. We saw that in how the leading AI company for this kinda of pure reasoning and advanced logic (OpenAI by a mile) treated reporting when they made those 10 recent discoveries in mathematics, they didn't bother crediting the work their models generated a proof by building upon, the headline was just all about their models and how great they are.

You could make it a state capitalist society with theoretical public ownership and this disrespect towards people won't go away. Like LeGuin - a famous non-anarchist - pointed out in the dispossessed simply liberating the social relations and saying you have no rulers is not enough to build a society without unjustified power, and what power even is or isn't justified will rarely be an easy matter.

I don't know you can build this technology otherwise that is without coercion, with consent, the people that want it have convinced themselves it's too important to try to justify to anyone else why they need it, I think you could eventually do it. But for us at the very start of the development of what became this systems we went into it with a handful of admittedly brilliant people so convinced they have a right to reshape the world they didn't care if anyone else agreed to this, they would have been bad anarresti. If you wanted to build it in a fair way it might be another generation or more before the project would be complete, you would have to first convince people this is something that should be built in the first place, not just that you can build it in a safe way.



> You could make it a state capitalist society with theoretical public ownership and this disrespect towards people won't go away

this is essentially the PRC in the 21st century post-Deng* - there's probably a cultural difference at play here too given how embedded the CCP is within academic and business institutions, how kinship tends to be extended on a filial level leading to larger networks. mobilizing a large group of subject-matter experts for post-training annotation (eg - https://ojs.aaai.org/index.php/AAAI/article/view/29907) seems to be fairly simple as an ask but, like you said, it doesn't matter ultimately with their largest firms like DeepSeek utilizing automated RL to skip that whole step and this type of training isn't the norm

I sometimes wonder if the problem with the PRC's sinking back to exploitative labor standards would happen in a vacuum. if you weren't surrounded by adversarial nation states with leaders looking to squeeze every advantage, would you, yourself, resort to the race-to-the-bottom of profit sharing?

a much better SF visionary than I would be able to write a story about a very slow growing AI project* trained for specialized use, and how this was the norm and everyone was happy because it was happening at a reasonable pace relative to hardware capabilities (presumably also reduced to avoid all of the slave labor inside of the rare earth trade). I think it's the capitalism side of things that says 'we should be everything at the fastest speed for everyone' that we get things like Claude and ChatGPT which necessitate outsized, disproportionate resources that doesn't allow hardware efficiencies to catch up and mitigate the worst of the externalized costs

*realistically it's maybe more accurate to say post-Jiang given the extent of opening up Chinese labor markets but Deng's trajectory steered the way

*Ted Chiang's Lifecycle of Software Objects does this a bit but it's more of a social commentary on the capitalist abandonment of the functional for the shiny than it is a sharp political critique of the pace of modernization and its effects on people and the environment




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