Huh? The frontier model companies aren’t operating at a profit but all the major enterprise tech companies (Google, Microsoft, Salesforce, Amazon, etc) are using huge amounts of AI in the SDLC and beyond and certainly are operating at a profit…
v_krishna
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- v_krishna@lemmy.mltoTechnology@lemmy.world•Western open-weight models still can’t beat China: Chinese open-weight AI models offer high capability at significantly lower costs than U.S. frontier systems.English24·22 days ago
Training these models still requires massive data centers, and using any of them that at all compare to frontier models for inference requires large numbers of GPUs
- v_krishna@lemmy.mltomemes@lemmy.world•70=sixty-ten / 80=four-twenties / 90= four-twenty-tenEnglish10·3 months ago
Dutch tens are all pretty “normal” do you mean Danish? (Danish uses a x20 math for 60 and 80, but then 50, 70, and 90 are 2.5*20, 3.5*20, 4.5*20, except they dropped the “times 20” in the words over time)

I will cry in cost of living but not in weather! (Berkeley, California)
Microsoft and Salesforce both have very positive free cash flow… but in any case that isn’t profit. All 4 of the companies I listed are still very profitable (Alphabet/google being the one “exception” where they are still wildly profitable but down from q3 2024 vs q3 2026). But even in the Alphabet and Amazon cases, they have negative free cash flow because they are investing like crazy in AI. This doesnt mean they aren’t profitable it means they are using their historic performance to make a big bet on the future. This is fundamentally very different from the frontier lab companies who have never been profitable and are staying afloat mostly from cash injection from big tech (Anthropic is an interesting one that may have just turned the corner).
It’s fine to have moral, labor, or environmental objections to “AI” (which is a very stupid name for some specific applications of machine learning) but I would expect Lemmy to have a higher level of discourse around this stuff that is actually rooted in reality.