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Was the 2% figure counting all those things? I don't think so. This is changing the grounds of the discussion. Ridiculously so. Do you take me for some zealot who hates tensors or matrices or something? I don't even hate LLMs, though I have huge issues with how data has been gathered. I feel like this discussion is useless.

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Look at Meta’s capital budget and tell me people aren’t using AI. People use Facebook, Instagram, etc. I’d say the same for Google, but with Google Cloud it’s hard to know where the dollars are going and for whom.

Who exactly is the 2% figure? Can’t all be HN people on side projects using Claude code.

A lot of it is training, not inference, right? I really do think the vast majority of use is HN Claude Code, with some lawyers, etc., preparing initial draft emails that they rewrite, sprinkled on top.

As for capex implying high usage, look at xAI's capex and how it turns out most of it is now being rented out to Google, etc. High capex does not imply capex that has already found its customers and margins. Meta is an extraordinarily bad example to use, given the failure of the whole metaverse/VR thing that is now their name, but is completely vestigial.

Have a good afternoon.

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