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José Marichal

@josemarichal.bsky.social did:plc:scdbkxdkn3uoivi4fgqkwc2f

Pol Sci Prof at CalLutheran. Author of "You Must Become an Algorithmic Problem" (Bristol Univ Press) and "Machine Liberalism" (Forthcoming from Intellect Books/University of Chicago Press). Tech Policy Press contributor https://josemarichal.github.io/

Sur Bluesky depuis le

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Résumé

José Marichal (@josemarichal.bsky.social) est sur Bluesky depuis le 1 septembre 2024. Le compte a 5 094 abonnés, suit 4 097 comptes et a publié 2 797 posts.

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  • Henry Farrell@himself.bsky.social

    1. A quick thread to summarize my and Cosma's new piece on LLMs as Homeric songs at the Economist. The piece has its origins in bactra.org/weblog/feral... and this fantastic article by Murray Shanahan et al, which we couldn't link as we would have liked www.nature.com/articles/s41...

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  • Paul Matzko@paulmatzko.bsky.social

    Except they're dead wrong. The now classic case is radiologists, who the AGI crowd predicted would lose their jobs / wages, but both have boomed b/c 1) AI is a task replacer, not a job replacer, 2) induced demand, 3) Baumol effect.

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  • arietrouw.bsky.social@arietrouw.bsky.social

    Worth reading the full essay: it also says specialists and human coordinators can command higher wages than before, while pay for work AI matches falls toward the cost of compute. That argues for learning to direct AI, not compete with it. Which skills do you think stay scarce?

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  • jig.bsky.social@jig.bsky.social

    lol, McKinsey (bad) economics again.

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  • Velgberg@velgberg.bsky.social

    That line flips the usual framing, since the wage ceiling for that work would track inference pricing rather than labor supply. Does the paper say anything about tasks where checking the output costs more than doing it?

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