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An easy counterargument is that the frontier models are swallowing all of the attention and money because they currently don't have a constraint of demonstrating that their value exceeds their cost. Take that away and it might turn out that cheaper models that are "good enough" and can be profitable are the more attractive route.
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> they currently don't have a constraint of demonstrating that their value exceeds their cost

There is no loyalty in AI. I can switch to another model at near zero cost. They absolutely do have to demonstrate value. The concept of "good enough" is a misnomer because we're talking about putting these products into the hands of people who need to generate value from them.


They have to demonstrate value absolutely, but you're forgetting about the denominator of cost, and to a large degree so is the industry right now.

To take this argument to an absurd level, if Fable generating a feature cost $100,000 and Sonnet generating the same feature cost $1, it wouldn't be enough that Fable is marginally, significantly, or even dramatically better, because the cost difference is so outsized. For a variety of reasons, the true cost of tokens for frontier models is downplayed at multiple points (whether it's through AI companies running off funding, companies prioritizing AI adoption over AI costs, etc.)

If cost is not an issue at all, the best thing is always preferable regardless of cost. But in most cases, and AI is no exception, eventually cost will be an issue.


Well said, they're competing on marketing rather than merit. Everyone defaults to the frontier instead of exploring more optimal options



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