Some report burning through their whole monthly "AI credit" allotment in a single day.
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Coder Henri Kinnunen writes that they only burned 161 credits in a “productive day” of using Claude 5.3-Codex through Copilot
Fingers crossed.Mark my words: they will raise the price again soon enough.
I have a feeling they are still losing money, and even these new prices are just easing users into paying the real cost of AI.The million (billion? trillion???) dollar question is how much does it actually cost to run these models. I think companies like Anthropic and OpenAI earn a big profit on customers who pay per token. I'm looking forward to their IPOs so that I can see how their finances really look like.
No, totally backwards! The actual content of a text message is tens of kilobytes, and it ought to be ~free relative to voice-quality audio. It was always ridiculous to get charged by the text--I suspect the tower-to-phone handshake traffic was higher bandwidth.This reminds me of the pricing scheme of SMS/text messaging in the nascent cell-phone days.
The technology used for SMS/ text messaging is completely differently, and prices can be reduced. I can not see how pricing can be reduced for complex LLM usage. Can you explain how cost can be lowered using actual examples with sources?This reminds me of the pricing scheme of SMS/text messaging in the nascent cell-phone days.
It varies, even to the cost per token, since different companies have different methods of energy generation and costs associated with just keeping the lights on, people employed and plans moving forward.The million (billion? trillion???) dollar question is how much does it actually cost to run these models. I think companies like Anthropic and OpenAI earn a big profit on customers who pay per token. I'm looking forward to their IPOs so that I can see how their finances really look like.
I was going to say the same thing. If I recall correctly, the sms system (at least originally) piggy backed on top of already existing technology, and it cost telecoms practically nothing to implement it. Charging to use it was a pure cash grab.No, totally backwards! The actual content of a text message is tens of kilobytes, and it ought to be ~free relative to voice-quality audio. It was always ridiculous to get charged by the text--I suspect the tower-to-phone handshake traffic was higher bandwidth.
This is more like, "It's one question to the slipbot, Michael. What could it cost, ten dollars?" and the answer might be yep.
ExxonMobil disagrees, as do China Coal, Royal Dutch Shell, Aramco, Chevron, Peabody, Santos...God forbid people realize the cost of the thing they've been using. This was, of course, inevitable.
The difference between Uber and these "GenAI" companies is that, unless they can "lock in" the end user, the end user will just leave for another provider. Another problem is that LLMs do not scale from a cost perspective; the more complex the model, the more it cost to use. The last problem is that it's unknown how much money it costs for the service before the quarry is run, and unpredictability is the bane to a business.Workers will be replaced by AI, businesses will adopt it and it will become essential for their processes, and then the price will increase dramatically until it’s almost/just as expensive as it used to be when meatbags did the work. Except now all that money is being siphoned into a handful of megacorporations instead of going to countless millions of workers in the form of salaries.
This was always the plan. Like Uber burning VC cash to subsidise rides until the taxi industry died, then jacking up the prices to reach profitability.
My fear is that this will result in a government bailout of AI companies.Will this lead to a cascade that finally “corrects” the speculative bubble?
I have no sympathy for the billionaire techbro crowd, but I do worry for the many people whose 401k accounts are likely wrapped up in one way or another with the private debt market that has been leveraged into the Ai bubble. When the bubble pops (and it needs to), many people who aren’t billionaire techbro types will see pain.
It depends on who is in charge after November. If it's the Republicans, I can see a bailout happening. If it's the Democrats, no way. Silicone Valley put all their eggs in the Republican basket, and it's going to come back to bite them.My fear is that this will result in a government bailout of AI companies.