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613style

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613style
·6 か月前·議論
They're saying you can't find a ruler accurate enough to be sure the number you measure is sqrt(2) and not sqrt(2) for the first 1000 digits then something else. And eventually, as you build better and better rulers, it will turn out that physical reality doesn't encode enough information to be sure. Anything you can measure is rational.
613style
·7 か月前·議論
Non-physicst here. Hopefully someone can correct me or elaborate. My understanding is that what's being described is smaller scale decoherence inside the proton. Normally, the universe only asks protons the question: "are you a proton?" and it's like "Yep I'm a proton." (What's your baryon number? What's your charge? etc)

When we blast it with higher and higher energies, we're asking new questions: "What are the momenta of your quarks? What's your color field arrangement?" There are many possible answers to those questions and we're now starting to see the landscape of them.

So having different answers based on how you look is really answering different questions, just like asking an electron: What's your momentum? What's your location?
613style
·7 か月前·議論
He's not making it up and there's no reason for that tone. Strings are more straightforward to isolate compared to vocals/horns/etc because they produce a near-perfect harmonic series in parallel lines in a spectrogram. The time/frequency tradeoff exists, but it's less of a problem for strings because of their slow attack.

You can look up HPSS and python libraries like Essentia and Librosa.
613style
·10 か月前·議論
Agreed. My experience is GPT5 is significantly better at large-scale planning & architecture (at least for the kind of stuff I care about which is strongly typed functional systems), and then Sonnet is much better at executing the plan. GPT5 is also better at code reviews and finding subtle mistakes if you prompt it well enough, but not totally reliable. Claude Code fills its context window and re-compacts often enough that I have to plan around it, so I'm surprised it's larger than GPT's.