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The classifiers Anthropic puts in front of Fable are too zealous

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Re: The classifiers Anthropic puts in front of Fable are too zealous

#201

The story here is that proprietary AI sucks and you shouldn't use it.

all useful models are proprietary.

the most useful frontier models maybe. but you cant say deepseek or glm is useless. thats not even a debate.

Re: The classifiers Anthropic puts in front of Fable are too zealous

#202
post #8

I have only really used Fable as a final pass on something. A "Take a look at everything we did so far, and make sure we didn't forget something" kind of review prompt. But it is a huge waste of money for most coding tasks. Opus is still overkill most of the time, too.

I have used Fable to the full extend of the 20x subscription's weekly limit, for all development tasks on my iOS project. It was working better than Opus for me. It more often implemented features well on the first try, where Opus needs a few rounds of improvements to reach a passable result. I am not sure why it would be a waste of money "for most coding tasks", and how you could conclude so with any confidence when…

Forgive my poor phrasing. I used Fable for quite a lot in the time I have had access to it. I mean to say that the only actual utility I have found for it was the final review process.

I can confidently say that Opus is the most powerful model I need 99% of the time. Fable might be marginally more capable than Opus for just about anything you might throw at it, but those gains aren't worth the cost for me.

Re: The classifiers Anthropic puts in front of Fable are too zealous

#203
post #201

Earlier quoted context omitted.

all useful models are proprietary.

the most useful frontier models maybe. but you cant say deepseek or glm is useless. thats not even a debate.

Those are still both proprietary. Open weights != open-source
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