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  1. Embed this notice
    Nathan Schneider (ntnsndr@social.coop)'s status on Monday, 15-Jun-2026 05:29:15 JST Nathan Schneider Nathan Schneider

    Students and academics especially, I'd love your feedback on this proposal: "an inference cooperative for academic AI" https://nathanschneider.info/2026/06/an-inference-cooperative-for-academic-ai/

    In conversation about 3 days ago from social.coop permalink

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    1. https://social-coop-media.ams3.cdn.digitaloceanspaces.com/media_attachments/files/116/750/348/912/728/033/original/07d5c44f1e1a3a81.png
    2. Domain not in remote thumbnail source whitelist: nathanschneider.info
      An inference cooperative for academic AI
      from Nathan
    • Embed this notice
      Nathan Schneider (ntnsndr@social.coop)'s status on Monday, 15-Jun-2026 14:21:51 JST Nathan Schneider Nathan Schneider
      in reply to
      • Bo Waggoner

      @bwag thanks for your interest! Happy to chat more.

      I would think of the co-op as basically just a particular legal container for yet another edtech provider, though in the end one designed to be more accountable to university needs. And since LLM access is basically a commodity, I think it is a relatively easy cross-campus collaboration.

      In conversation about 3 days ago permalink
    • Embed this notice
      Bo Waggoner (bwag@mathstodon.xyz)'s status on Monday, 15-Jun-2026 14:21:52 JST Bo Waggoner Bo Waggoner
      in reply to

      @ntnsndr
      Sounds fantastic. I'd love to chat about this! I wonder if there are historical precedents from other times when compute was very expensive and time-shared (1970s and earlier)?

      Organizationally, the co-op structure sounds challenging to me in modern academia. As a collaboration between a bunch of different departments, it sounds great. But as a collaboration between different university administrations/bureaucracies, managed from the top of each university, it's hard to visualize. It's simpler to picture a nonprofit that sells the service to universities...

      It sounds like it needs a lot of new software (which can then be open sourced, great). Doubt that vLLM + Open WebUI can cut it alone. The problem that stands out to me is load-balancing and fairness across organizations. (Maybe mitigate that by joining universities with different academic calendars and in very different time zones, so that peak usages don't coincide...) Individuals probably need usage limits that make sense, so there's within-university governance too.

      In conversation about 3 days ago permalink
    • Embed this notice
      Dan Connolly (dckc@social.coop)'s status on Monday, 15-Jun-2026 21:06:50 JST Dan Connolly Dan Connolly
      in reply to

      @ntnsndr re open models... I hope you can stay ahead of regulatory capture: https://www.warman.life/blog/2026-04-27-the-moat-or-the-commons/

      In conversation about 3 days ago permalink

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      1. No result found on File_thumbnail lookup.
        The Moat or the Commons — Warman Notes
        American capital financed AI on the assumption it would be the next great monopoly. Open-weight models are commoditizing the capability that monopoly was supposed to protect. The collision between the two now defines the direction of the U.S. AI industry — and the country.
    • Embed this notice
      Nathan Schneider (ntnsndr@social.coop)'s status on Tuesday, 16-Jun-2026 06:12:22 JST Nathan Schneider Nathan Schneider
      in reply to
      • Dan Connolly

      @dckc You're right, that's definitely a risk. The whole model could be rendered illegal by a deft move from the dominant "labs."

      In conversation about 2 days ago permalink
    • Embed this notice
      Dan Connolly (dckc@social.coop)'s status on Tuesday, 16-Jun-2026 06:29:18 JST Dan Connolly Dan Connolly
      in reply to

      @ntnsndr model :)

      I see what you did there

      In conversation about 2 days ago permalink

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