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Joined 3 years ago
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Cake day: June 16th, 2023

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  • In Chinese, affirmation is often compiled through negation:

    没错 (méi cuò) = “not wrong” = Right

    不差 (bù chà) = “not bad” = Decent

    还行 (hái xíng) = “still passable” = Okay

    没事 (méi shì) = “no problem” = It’s fine

    In English, this feels bizarre. If something is good, you say:

    Nice

    Great

    Perfect

    Brilliant

    You name the quality directly. You point at it. You own it.

    In American positivity-laden, self-marketing, businessy English perhaps. But in the UK “not bad”, “could be worse”, “not wrong”, “can’t complain”, “I’ve had worse” and so on is often as positive as it gets, or at least was for a long time. American positive-speak gets on British people’s nerves; it’s perceived as boorish, boastful and unsubtle. And “no problem” is common in English all over. British people do say “brilliant” but only when they’re being unusually enthusiastic, or fake, or sarcastic.


  • The font was chosen in an effort to make documents easier to read for the vision impaired.

    So It’s Republican policy that the government must not, even in the smallest way, make life any easier for disabled people? And the government must not do nothing and leave in place something that already makes life easier for them, but must actively intervene to make it harder? Of course it is, but what the fuck is wrong with these people that they dedicate their entire life to getting into government so they can punch down and hurt others? How have they not even accidentally stumbled into being better than the worst they can be?










  • Even more efficient: humans do the specs and the implementation. AI has nothing to contribute to specs, and is worse at implementation than an experienced human. The process you describe, with current AIs, offers no advantages.

    AI can write boilerplate code and implement simple small-scale features when given very clear and specific requests, sometimes. It’s basically an assistant to type out stuff you know exactly how to do and review. It can also make suggestions, which are sometimes informative and often wrong.

    If the AI were a member of my team it would be that dodgy developer whose work you never trust without everyone else spending a lot of time holding their hand, to the point where you wish you had just done it yourself.


  • The hard thing about debugging other people’s code is understanding what they’re trying to do. Once you’ve figured that out it’s just like debugging your own code. But not all developers stick to good patterns, good conventions or good documentation, and that’s when you can spend a long time figuring out their intention. Until you’ve got that, you don’t know what’s a bug.