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Good enough? That's a lie people tell each other because they lack imagination.

"It's good enough" was said about GPT-4, o1, o3, Opus 4 and more. Guess what happened? Newer models released, people updated their expectations of what LLMs can do, usage got more aggressive, and somehow, GPT-4 went from "good enough" to "obsolete trash".

If you have no imagination, then at least substitute your pattern recognition for it.

The world is hungry for capabilities. There are piles upon piles of tasks that aren't done by LLMs simply because LLMs aren't good enough to do them.

The thing a frontier model gives you is "you don't have to babysit a model to get it to do X", and that X gets more and more impressive release to release.

by overfeed4 hours ago|

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I wish you had addressed at least one of arguments in good faith before jumping to insults and countering a strawman argument I didn't make - I never claimed their will be no use for more capable models.

You do your AI-maximalism, and I'll stick to making trade-offs based on the needs of each piece of work.

by ACCount373 hours ago|

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I.e. spending your time and effort on making choices that don't matter.

I'll do more "per-task model selection" when AIs themselves get good at it.