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192 posts · best match first · index holds 132,332 posts · last 36 hours · 0.57 s

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  9. @datadictum.bsky.socialBluesky

    In July, I asked Gartner’s John Lovelock how the price crunch would hit the AI infrastructure building program. It’s "the big open question," he said. "But it's not being investigated well or answered incredibly well." www.theregister.com/ai-and-ml/20...

    theregister.com Tech sector pours $1T into AI and sends customers the bill

    Same subjectAI
    Read post · Bluesky
  10. @namhenderson@mas.toMastodon

    #ICYMI "Most of the verdicts above have been pretty negative. I have given these experiments serious effort and a fair bit of technical knowledge. But—and perhaps I am lucky in this—most of my life and livelihood still depends on being human with other humans...I started these experiments as something close to an AI optimist...come out not quite as a pessimist but where a lot of us outside the CEO class have landed...In its present form, this is technology for overlords and those aspiring to become them." nathanschneider.info/2026/08/a… via @ntnsndr

    nathanschneider.info AI, I tried to love you – Writings and rehearsals by Nathan Schneider -

    Same subjectAI
    Read post · Mastodon
  11. @cara.cityBluesky

    yeah I mean that does seem like the realistic outcome of this; the practical uses of AI aren’t getting exponentially better in software, but it is getting drastically more expensive. Chinese companies are offering 95% of the thing for 10% of the cost.

    Same subjectAI
    Read post · Bluesky
  16. @rincewind.runBluesky

    the worry for the frontier companies is they’re stuck between a rock and a hard place either the speed of model development continues and they can charge frontier prices but can’t amortize capex because they have to keep spending on it, or it slows and open source catches up and eats their lunch

    Same subjectAI
    Read post · Bluesky

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