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  • 28 Comments
Joined 1 year ago
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Cake day: July 6th, 2023

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  • Why go through all the hoops if they are instead just could refuse patches? Open source doesn’t mean open to contributions, look at SQLite for example.

    If they had the idea to release this open source they would have said so in clear words by now. They didn’t so I don’t have much hope, unless maybe if they get enough negative publicity to change their mind.

    Why does VC need to ruin everything…










  • From which size is a country too big to operate as a single country? I think cultural identity is much more important than size, and the Chinese government has put a tremendous effort in culturally unifying the land with great success (and great cost; see Xinjiang, Tibet, Hong Kong, the relationship with Taiwan, loss of local languages and culture). I don’t see that disappearing anytime soon.

    A civil war with a stalemate is of course possible (in fact it’s already the reality), but an USSR style collapse in many different countries is just not something I can see happen.


  • I’m the first one to hate on the CCP, but people have been saying that China is going to collapse anytime now for 20 years.

    The demographics are a real problem, but nothing that will cause an immediate collapse. Housing, youth unemployment and inequality are real imminent issues, but the CCP has survived much worse and I think they will survive this as well.

    Economical they have made some good bets, investing in solar and batteries, for that alone we should hope they don’t collapse, it would be a setback of several years or maybe decades.

    I believe China will more go the way of Japan, stagnate but not collapse.




  • Here you go, you’ll need numpy, scipy and matplotlib:

    from scipy.optimize import curve_fit
    from matplotlib import pyplot as plt
    
    # 2010-2013 data from https://ourworldindata.org/renewable-energy [TWh]
    y = np.array([32, 63, 97, 132, 198, 256, 328, 445, 575, 659, 853, 1055, 1323, 1629])
    x = np.arange(0, len(y))
    
    # function we expect the data to fit
    fit_func = lambda x, a, b, c: a * np.exp2(b * x ) + c
    popt, _ = curve_fit(fit_func, x, y, maxfev=5000)
    
    fig, ax = plt.subplots()
    ax.scatter(x + 2010, y, label="Data", color="b", linestyle=":")
    ax.plot(x + 2010, fit_func(x, *popt), color="r", linewidth=3.0, linestyle="-", label='best fit curve: $y={0:.3f} * 2^{{{1:.3f}x}} + {2:.3f}$'.format(*popt))
    plt.legend()
    plt.show()
    

    Here’s what I get, global solar energy generated doubles every ~3.5 (1/0.284) years.



  • The mistake you make is that you assume the law works the same in China as in countries that have rule of law. China doesn’t have rule of law, they have ‘rule by law’. The Communist Party isn’t just above the law, the law is a tool for them to use how they see fit. If you are undermining the Communist Party then that is by definition misinformation.

    Remember, this is the same country where one day the minister of health aplauded a journalist’s effort to combat pollution with a documentary called under the dome, and the next day it was gone from the internet as if it never existed. Whenever they have internal issues they stir up some hatred for the USA or Japan, only to be forgotten somewhat later.

    They took 1984 not as a warning, but as a manual