While I sympathize with the intent of the law, this is a great example of why it's dumb. There's no possible way you could make that ring, in a reasonably ring-sized form factor, with today's manufacturing processes in such a way that an end user could replace it.
If this law pushes back against the idea that it's ok to make endless tech products which are essentially future rubbish as soon as you buy them, then I think that's a good thing. Perhaps products like this just shouldn't exist until we have better ways of dealing with the remains.
The basic gist of it is to give the llm some code to review and have it assign a grade multiple times. How much variance is there in the grade?
Then, prompt the same llm to be a "critical" reviewer with the same code multiple times. How much does that average critical grade change?
A low variance of grades across many generations and a low delta between "review this code" and "review this code with a critical eye" is a major positive signal for quality.
I've found that gpt-5.1 produces remarkably stable evaluations whereas Claude is all over the place. Furthermore, Claude will completely [and comically] change the tenor of its evaluation when asked to be critical whereas gpt-5.1 is directionally the same while tightening the screws.
You could also interpret these results to be a proxy for obsequiousness.
Edit: One major part of the eval i left out is "can an llm converge on an 'A'?" Let's say the llm gives the code a 6/10 (or B-). When you implement its suggestions and then provide the improved code in a new context, does the grade go up? Furthermore, can it eventually give itself an A, and consistently?
It's honestly impressive how good, stable, and convergent gpt-5.1 is. Claude is not great. I have yet to test it on Gemini 3.