alt Hacker NewsI doubt that would change the perception. Every model release is followed by accusations of nerfing.
There are several projects that repeat benchmarks on published models. None has ever found significant fluctations
Here's one example https://marginlab.ai/trackers/claude-code/
Fluctuations of a few percentage points are to be expected and should not surprise anyone who knows how LLMs work.
This Twitter analysis of Fable 5 is not that at all. They analyzed their coding sessions and blamed all of the fluctuations on Fable changing. They then compared to ARC-AGI-2 questions as the benchmark for thinking tokens and tried to stir up anger that coding turns don't produce as many thinking tokens as the ARC-AGI-2 problems.
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It would change my perception but only if there were a competent and stringent administration in place. I didn't used to have to wonder if the ground beef I was buying was actually 1lb because there were inspections and repercussions, but stuff is kind of chronically underweight these days.
A properly run OWM enables you to stop wondering if you're being ripped off and that's what AI needs because I think it's incredibly easy to just assume we're being ripped off because these companies are all built on a foundation of wonton theft. (Not that I really care about that — I think all information should be free, but still.)
If you go to https://marginlab.ai/trackers/claude-code-historical-perform... there is a very clear downwards trend in the two weeks before Opus 4.7 release. Then a sudden and dramatic drop seven days before Opus 4.8. And now we seem to have entered another decline in the last ten days, beyond the usual noise of Opus 5 scores
This page has been in 'New model — collecting baseline data. Degradation detection paused.' state for months now. It seems to never say 'degraded'.
If you look at the graphs, the latest benchmarks are showing a pretty significant dip, and they match pretty well with some horrible experiences I've had in recent weeks. You can see token usage steadily going down, matching exactly what the author measured on his own.