But also, resellers only need to make an overall profit including kickbacks from the companies purchasing token history for distillation.
But also, resellers only need to make an overall profit including kickbacks from the companies purchasing token history for distillation.
I suspect it's closer to the sub price and anthropic is just milking their API users, but that's something you'd only know from the inside
YC has advised startups in the past that it's easier to sell a single $100k customer than 100 $1k customers.
It would also be relatively surprising to learn that i.e. the Chinese providers are OOMs better at inference than OAI/Anthropic (like their prices would imply if they were in a perfectly competitive market).
DeepSeek's price hike is mostly driven by increased demand, for example. It's not about losses so much as they don't have enough infrastructure and need to reduce demand somehow.
https://www.dbresearch.com/PROD/IE-PROD/PDFVIEWER.calias?pdf...
People have been talking about late capitalism in the west for a century. The Chinese state would argue that we cannot be in late capitalism because we're actually in the first stage of socialism, and the people would wonder how we got to late capitalism when they never got to experience early or middle capitalism. But really the only thing we know that definitively does not work is implenting Marxism and Marxism-Leninism and Maoism and its offshoots as doctrine. Whether that means that the default is a prescriptive version of capitalism is, well, open to debate, and probably too simplistic.
Like the 10th Rule of Acquisition says, greed is eternal. Structures and behaviors that flow down from this tend to be the same everywhere.
Given their past history and current geopolitics, I'd be willing to bet this is more likely than not.
But the API price is likely simply regular supply and demand, charging as much as the market will pay. Corporations are dropping insane amounts because it's still peanuts for many industries. Software has just been ridiculously cheap before AI. So high prices are still low for companies if it eases some bottlenecks.
Define cost: Is it only the inference cost to the provider, or do you also consider training costs as well?
If it's the latter, how would you estimate the number of total tokens that will be sold for the current model (so that we can calculate marginal cost)?
There is no “real cost” other than the cost actually charged.
How so?
Didn’t see it, but it’s obvious in retrospect. Thanks!
this is all it is. it's not complicated.