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Joined 2 years ago
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Cake day: July 13th, 2023

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  • One of my big beefs with ML/AL is that these tools can be used to wrap bad ideas in what I will call “Machine legitimacy”. Which is another way of saying that there are many cases where these models are built up around a bunch of unrealistic assumptions, or trained on data that is not actually generalizable to the applied situation but will still spit out a value. That value becomes the truth because it came from some automated process. People cant critically interrogate it because the bad assumptions are hidden behind automation.



  • I often have the opposite experience when looking for technical documentation about programming libraries. For example I will be dealing with a particular bug and will google the library name plus some descriptive terms related to the bug, and I get back general information about the library. In those cases, it seems google often ignores the supplemental information and focuses only on the library name as If I were looking for general information.

    What is worse is that the top results are always blog-spam companies that just seem to be copying the documentation pages of whatever language or library I was looking at.






  • Thanks for reaffirming my bias that new cars suck.

    I am really concerned the next car I need to buy, which is probably 20 years off, is going to be this trend cranked to 11. With software and hardware I can find alternatives and hack my way around the “you paid for it, but we own it and can do whatever we want to it” mentality that tech companies push, but cars seem like a whole different world when it comes to the “you paid for it, but we own it” mentality.