A sample of one, but I was getting more stuff done despite Fable uses tokens twice as fast as Opus, because it understood the goals so well and worked to achieve them.
A sample of one, but I was getting more stuff done despite Fable uses tokens twice as fast as Opus, because it understood the goals so well and worked to achieve them.
Same experience. Wouldn't waste my tokens on easy stuff for it. It blasted through some of my toughest problems and produced some truly great code.
Can you give an example of what those "toughest problems/great code" are? I don't need to know the prompt nor the output, but the general idea, what it is about.
Some very tough computational geometry problems I couldn't solve on my own, nor with the assistance of other AIs or my colleagues. Fable did them all first go. The most impressive built a custom optimizer with a ludicrous number of adaptive switches that absolutely crunched through an error surface with a bunch of nontrivial nullspaces and some wild curvature. That optimizer is of independent interest; it's not totally novel in theory, but the implementation is an impressive piece of engineering.
> more stuff done
More stuff done per dollar or more stuff done for more dollars? Seems to be an important distinction
Given the same usage limits, I was able to get more stuff done and not even hit the usage limits, because I wasn't working on constantly fixing what Opus was trying to do, Fable just understands the task correctly and works great with the given context.
Same, I was actually having interesting thought experiments with Fable.
I even upgraded my Max plan because Fable was doing so well.
Same here, now n=2.
Same here, not n=3, plus the above 3 reporting, so n=6 and rising
Fable was definitely better for a variety of tasks, even accounting for using 2X the token rate, like the way it used the tokens faster reduced the wasted tokens, as least for the subset of those who already knew at least some optimizations...?