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Okay then provide a link to a Dropbox PDF or official documentation “demonstrating” the premise is “untrue” please. Or admit you’re blinded by faith. Or financially interested in the public believing in a hypothetical like your second sentence.

In short, citation needed or shens bruh.

If you're claiming "AI inference is sold at a loss", it's on you to prove it.

All we have actual evidence of is: some users use enough AI that the subscription is sold at a loss to them (up to degenerate cases: usage maxed out at all times), if billed by API metrics, while some other users are, by the same metrics, profitable (down to degenerate cases: a forgotten subscription with $20 a month and 0 usage).

We don't know how API prices relate to costs - we only have estimates. And we certainly don't know how much inference does an average subscription user spend.

If you have some sort of information that would decisively prove that the aggregate is "AI company N is losing money on subscriptions", then, show it.

Or is it you who's blinded by faith? Like some sort of AI bubble cultist? The bubble is real, you just have to believe in it?

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