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Let us know when you have Qwen vs Qwen comparison stats. As long as there's not a regression, that'd be awesome.
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4% is within the margin of error anyways for pass@1, so I think pass@k > 1 is gonna be the better indicator of any movement (still need to calibrate the optimal k to re-test). 10 seems too tolerant even though that tends to be the next tranche I reach for.
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Depends on where you sit on the binomial curve. At p=0.04 for n=250 4% points would not be within margin of error.
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>> We have an internal eval that measures performance on tasks for a handful of embedded systems repos for our mmWave radios

Okay but the parent said real-world usage, presumably meaning coding tasks.

We have a whole bunch of complex evals that Haiku 4.5 passes. That doesn't mean it is a good model for coding.

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They literally stated in their first sentence that it was coding tasks.
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Yes, these are coding tasks in the embedded systems domain (I mentioned Rust and C).
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How much does it score though? 0% would be 4% less if Opus was at 4%. Unless you mean relative fraction not percentage points - but people usually mean percentage points in such situations.
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0% is not 4% less than 4%, that would be 3.84%.

0% is 4 percentage points (pp) less than 4%.

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