501–510 of 583 posts
The era of subsidised inference is truly ending. The new model multipliers ( https://docs.github.com/en/copilot/reference/copilot-billing... ) seem like a huge leap, though. From 1x to 6x for new-ish GPT and Sonnet models. 27x for Opus... Seems like folks would be better off with OpenRouter instead.
"Plan prices aren’t changing.” Isn't this like saying "The Porsche you rented at $200/mo is now a Honda. But the price hasn't changed!"
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So, silicon valley decides to use their playbook of expand at all costs by burning money to acquire the market (like a carcinoma), and it is the users fault ? Should we be blamed about uber destroying the taxi business, or airbnb the hotel one? Oh sorry, "disrupting". Uber was dirt cheap, now it is the same price as taxis, and the people working for it (the "partners", not employees) have no social benefits. Airbnb w…
Uber and Airbnb are not autonomous robots. If people wouldn't use their services, nothing would happen. They would just go bankrupt. So yeah, I'd say it's entirely people's fault. Because people just wanted to use their services without thinking what they're causing. Customers who think only about themselves and noone else.
This is the role of legislation, educated experts creating policies so that you don't have to do business analysis before making a purchase.
Would I pay 10x the price for tokens and be outcompeted by other companies, hoping that openAI will go out of business ? This is entirely unrealistic.
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So, silicon valley decides to use their playbook of expand at all costs by burning money to acquire the market (like a carcinoma), and it is the users fault ? Should we be blamed about uber destroying the taxi business, or airbnb the hotel one? Oh sorry, "disrupting". Uber was dirt cheap, now it is the same price as taxis, and the people working for it (the "partners", not employees) have no social benefits. Airbnb w…
Uber and Airbnb are not autonomous robots. If people wouldn't use their services, nothing would happen. They would just go bankrupt. So yeah, I'd say it's entirely people's fault. Because people just wanted to use their services without thinking what they're causing. Customers who think only about themselves and noone else.
When was this ever different? And do you expect it to ever change?
I wonder if GitHub (Microsoft) is implicitly betting that enterprise demand is sticky enough to absorb these rates, especially given that Opus 4.6 “fast” was being listed at a 27x multiplier. Maybe they saw enough usage at that price point to conclude the demand is real. Or maybe the strategy is to keep the enterprise customers who can justify it while shedding heavier individual and power-user usage. The interesting…
These companies already lost the spark/innovation years ago. They're just using LLM's as a way to survive. Wonder how long that lasts.
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I guess the new models will still be quantum leaps, but literally: "The smallest possible change in a system"
Yups... Mythos is the smallest possible leap. Not a standard model generation advance, not even a version point advance. Just the smallest possible quanta of a change. We are absolutely hitting a plateau any day now. Any day. Any time. Any second now. Yup. Right now! Surely!
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However, inference costs for entirely good enough models are likely to keep declining in the future. We're probably hitting diminishing returns on model size and training. The new generations aren't quantum leaps anymore, and newer generations of open source models like DeepSeek are likely to start getting good enough. There's going to be a limit to how much they can raise prices, because someone can always build out…
I guess the new models will still be quantum leaps, but literally: "The smallest possible change in a system"