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The $13.5B net loss doesn't mean they are in trouble, it's a lot of accounting losses. Actual cash burn in H1 2025 was $2.5B. With ~$17.5B on hand (based on last funding), that’s about 3.5 years of runway at current pace.


Deprecation only gets worse for them as they build-out, not better.


It gets worse until we hit the ceiling on what current tech is capable of.

Then they can stop burning cash on enormous training runs and have a shot at becoming profitable.


This makes sense, but what happens when they stop burning cash on training runs and any of their competitors releases a better model that raises the ceiling?

They will have to train one that is comparable (or better), or the word will spread and users will move to the better model.


They survive through inertia and “new model novelty”.

The minute they lose that (not just them, the whole sector), they’re toast.

I suspect they know this too, hence Sam-Altman admitting it’s a bubble so that he can try to ride it down without blowing up.




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