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re: substituting with cheaper models. I think some people here are oblivious to how much of Anthropic and OpenAI’s usage is artificial. Take this one example o
by reticulates 14d ago
re: substituting with cheaper models. I think some people here are oblivious to how much of Anthropic and OpenAI’s usage is artificial.
Take this one example of a user with 15 Codex subscriptions ($3k) generating $60k in API-equivalent usage per month: https://hraness.com/writing/my-girlfriend-asked-me-why-i-have https://hraness.com/writing/my-girlfriend-asked-me-why-i-hav...
“there’s a once in a lifetime discount happening at the OpenAI Intelligence Depot, and I brought 15 shopping carts.”
We have to understand current usage with this behavior in mind, there are tens of thousands of people just like this author who are intentionally generating as much usage as possible on their subsidized plans because they feel compelled by some need to get free intelligence.
The only reason these expensive models are generating so much usage is because they are so heavily subsidized. Pragmatic users will shift to cheaper models which will hurt per token revenue, yes, but huge volumes of usage is going to just disappear because there isn’t the demand when it isn’t being subsidized. Less revenue per token and less tokens.
https://tokscale.ai/leaderboard https://tokscale.ai/leaderboard a small sample of just 2k users have generated over $100m of API-equivalent usage while paying closer to just $1m.
https://aicharts.io/gpt-subsidy https://aicharts.io/gpt-subsidy
- retr0rocket 14d ago[dead]
- piker 14d agoIt goes a layer up, too. Harvey (legal AI) recently tweeted that a single user query cost that firm 26k USD. This, while they have thousands of users and reportedly whole law firms paying zero. That difference is being subsidized by billions of VC dollars.
- toomuchtodo 14d agoA bit of a collective action problem, but if everyone leverages this services as hard as they can without cost concern, better capital decisions will eventually be made. Like the Federal Reserve draining the M2 money supply, AI users must drain the capital supply of subsidized tokens. This pulls forward the future of "Does this tech have value at actual unsubsidized costs?" If it does, tremendous, if it doesn't, also a reasonable outcome to the grand experiment. The current pain comes from the valley of uncertainty we find ourselves in at the moment. > That difference is being subsidized by billions of VC dollars. "History never repeats itself, but it rhymes." -- Twain Doordash and Pizza Arbitrage - https://news.ycombinator.com/item?id=23216852 https://news.ycombinator.com/item?id=23216852 - May 2020 (514 comments) > I cut this deal with my neighborhood Italian restaurant! I texted the owner about being miffed they hadn’t told me they were on DoorDash. He replied. They aren’t. We compared pricing, and found the prices advertised are way off from what the restaurant charges. So I placed a $5,000 order to the neighbourhood homeless shelter. DoorDash paid him over $20,000, and I get free pasta for the rest of the year. (My neighbours have also partaken.) Glad to know it’s scaling. SoftBank has assembled a unique concentration of stupidity for itself.
- piker 14d agoYes, there are good examples of this working, anti-competitive as it may be. What if, in the DoorDash example, the pizza shop was itself venture backed and selling pizza at a loss to win customers and using this 20k revenue as a basis to raise money?
- tjoff 14d agoWhy do everyone assume they are subsidized? When we seemingly have no idea what it costs? Maybe average subscription is breaking even and token spend is pretty much pure profit? Case in point, claude code seems hell bent on increasing usage at all cost. Which makes sense in the growing phase (get people hooked) but it does not make sense given the hardware shortage. So, which is it?
- reticulates 14d agoAnthropic admitted last year to losing money on inference, it had negative margins. The margins have improved and are now positive but there’s still a significant cost. If plans aren’t being subsidized it would mean that the margin on inference is ~99%+ which would mean OpenAI and Anthropic should be wildly profitable but both are still losing money. So, it’s mathematically impossible that they’re not subsidizing plans. The most widely accepted estimates (though I disagree with them) are that Anthropic’s margin on API inference is ~70% from which people extrapolate what their token usage would cost via the API and compare that to what their plan costs. https://newsletter.semianalysis.com/p/anthropic-3q26-profit-over-1b-the https://newsletter.semianalysis.com/p/anthropic-3q26-profit-... (edit: better link https://newsletter.semianalysis.com/p/anthropic-growth-and-bedrock-mix https://newsletter.semianalysis.com/p/anthropic-growth-and-b...) re: increasing usage with resets, it’s because they’ve overblown usage and need to show that usage is growing ahead of the IPO. They’re increasing usage on fixed price plans without increasing the cost, the only plausible explanation is they have unused capacity. If they were capacity constrained then the last thing they would do is give away more usage for free.
- pwthornton 14d agoThe last I saw with Claude was that the plans are subsidized somewhere around 10x. The usage of Claude and similar products (for people not paying the actual API token costs) would be lot less if they were paying 10x more per account/seat. A lot of people are using Claude and ChatGPT for all kinds of minor things at work, and they probably wouldn't be if they were paying the true cost of the product. And this is all the while their work product is suffering because AI is not a great fit for a lot of use cases.
- leesec 14d agotheyre not being subsidized, and no ones using tokens just because.