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https://en.wikipedia.org/wiki/Jevons_paradox

AI gets cheaper, people use it everywhere. Google searches, for example. Now we want to crack math problems and spend weeks with unreleased models.

If you used GPT-2, it'd be incredibly cheap. You basically can't use it for anything and it's simple to serve.

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You mean if you used a modern LLM of GPT-2-level quality. Vanilla transformers like GPT 2 are ridiculously inefficient in comparison.
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The cost per fixed level of intelligence is dropping, but we're also getting dramatically more intelligent models.
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Because models are only getting better at a rate of 10% per year, people always want the best quality possible. You can get SotA performance from a year ago for a fraction of the cost, but why would you use Opus 4.5 when you can use Opus 5.5?
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Reddit is full of people complaining how they burn their 200$ sub in half an hour by starting ten Max sub agents. That’s to say, many people just don’t know what they’re doing.
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Because it's increasingly useful and the thing you are substituting (human time) is much more expensive.
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Apart from what others said about using more intelligent models instead of cheaper ones, token usage is also increasing a lot. Classic Jevons paradox
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At least for me the Claude plans seem like an incredible deal and I never hit my limit.
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