points by bitmasher9 1 day ago | 0 comments
Usage is not going down. Take a look at their published revenue, it has a nice hockey stick shape.
I’m not making a bigger argument other than I disagree with that one datapoint you mentioned.
[–] jjtheblunt 1 day ago
usage may shift to models run locally, albeit trained by the frontier labs, increasingly over time, though.
[–] bix6 1 day ago
A floppy hockey stick.
Revenue growth q2 to q3 was significantly lower percentage wise than q1 to q2 and they swung back to net loss.
[–] bennettnate5 1 day ago
Yeah, the hockey stick is flipped in the wrong direction if you're looking at the past 4 months, plateauing after steady gains.
[–] cmiles8 1 day ago
[–] burnerRhodov3 1 day ago
[–] cmiles8 1 day ago
In the “but they’ll slow down training and so will become more profitable” thinking is in big trouble given the pace of open models. They’ll then be even less competitive with free options and so even less reason to buy from Anthropic.
[–] burnerRhodov3 17 hours ago
[–] surgical_fire 1 day ago
If you discount my expenses I am actually swimming in cash too.
It is absolutely moronic to discount the value of developing the thing from the profitability of the thing. Models to depreciate with time.
[–] burnerRhodov3 17 hours ago
The real question is "Are frontier training costs growing faster than the productive lifetime value of the GPU infrastructure used to create those models?" Which is a hard question to answer and is something we'll find out it early 2030.
[–] bigstrat2003 1 day ago
[–] cmiles8 1 day ago
In nearly all cases these metrics just say “if you ignore all the reasons why we’re horribly unprofitable, we’re profitable.” WeWork’s “community adjusted EBITDA” was a textbook example of this.