RyanCavanaugh

vor 5 Monatendiscuss

The internet is hundreds of billions of terabytes; a frontier model is maybe half a terabyte. While they are certainly capable of doing some verbatim recitations, this isn't just a matter of teasing out the compressed C compiler written in Rust that's already on the internet (where?) and stored inside the model.

RyanCavanaugh

vor 6 Monatendiscuss

What are you going to do with this information? What policy would you plausibly advocate for on the basis of it?

RyanCavanaugh

vor 7 Monatendiscuss

I modified hamilton_perfect_finder.py to have new values:

# Target constants CONSTANTS = { 'fine_structure': 131.11, 'phi': 1.9, 'pi': 3.6, 'e': 2.4, 'sqrt_2': 1.1, 'sqrt_3': 1.2, 'sqrt_5': 2.5,

Best results: L = 3017.391610 s = 0.042000 Average: 94.848564% Minimum: 82.509479%

  Constants:
    sqrt_2                   : 100.00000000%
    sqrt_3                   : 99.99236291%
    phi                      : 99.93928922%
    pi                       : 99.89806320%
    e                        : 99.88623436%
    sqrt_5                   : 99.85340314%

And this is before any fine-tuning of the parameter set!

RyanCavanaugh

vor 7 Monatendiscuss

If you overlay 30 prime number frequency waves plus 30 more even frequency waves, you're going to have an enormous number of local peaks.

Look at a chart of sin(x) + sin(x/2) + sin(x/3) + sin(x/5) + sin(x/7) + sin(x/11) + sin(x/13) + sin(x/17) + sin(x/19) + sin(x/23) + sin(x/29) + sin(x/31) + sin(x/37) + sin(x/43), you can find a local peak close to practically any number; the chart is effectively entirely composed of peaks.

It's extremely unsurprising that you would find peaks near mathematically relevant numbers, since there are peaks near any number whatsoever. You could pick ten random numbers out of a hat and fine tune those to 99.999%+ accuracy as well using the same scaling procedure.

RyanCavanaugh

vor 10 Monatendiscuss

The Press Secretary isn't the Supreme Court. Her say-so doesn't change the plain text of the order, and you're rolling the dice as to which any given border agent is going to choose to believe.

RyanCavanaugh

letztes Jahrdiscuss

Our best estimate for how much faster the Go code is (in this situation) than the equivalent TS is ~3.5x

In a situation like a game engine I think 1.5x is reasonable, but TS has a huge amount of polymorphic data reading that defeats a lot of the optimizations in JS engines that get you to monomorphic property access speeds. If JS engines were better at monomorphizing access to common subtypes across different map shapes maybe it'd be closer, but no engine has implemented that or seems to have much appetite for doing so.

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