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And a roommate of Richard Stallman at one point, AFAIR.

  the easiest way to mismanage a technology is to misunderstand it
Indeed.

His idea of attaching provenance to source of information used in models is a good one, and one that already has rumblings of legal weight behind it (see the various articles about copyright claims in response to GPT/Copilot).

I worry a bit that his argument is too centred on digital information creation. Though I suppose that's the novelty of the most recent pieces of technology called AI - they affect information workers, people who already use a computer interface for some large percentage of their work. Still, the topic of /physical work/ : fieldwork, factorywork, servicework, seems one or more steps removed from LLMs. The management of that work may be affected, but the work itself has already (it seems to me) gone through its first computer-revolution shock.

Edit: I'll add that the whole article has a 90s-Wired feel to it, which is refreshing to see. There's been something of a slowdown in tech-revolutions for the past decade, and it's not original to say that we may be at the start of a new one.



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