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Joined 2 years ago
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Cake day: June 17th, 2023

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  • How the fuck is Kid fucking Rock still relevant in any way? I thought he would have just disappeared into obscurity after the 90s ended. Do some people actually still give this guy their money for some reason?

    Edit: How the hell does the “ba with the ba with the bang da bang diggy diggy - diggy said the boogie said up drop the boogie” guy have eleven studio albums? And who the hell are the 5.3M monthly listeners on Spotify? This blows my mind!









  • I get why they’d use something like this to save money and time but, is suspect that correct use would include a human check before charging people.

    We need to start pushing for laws on this kind of thing. Automated checks are fine if you, as the company, trust they won’t have too many false negatives. If you aren’t checking for false positives, though, you should be heavily fined for each false report. $25,000 per false report sounds like a good place to start. Hopefully that would be large enough to not just be the cost of doing business.


  • Ad a fairly senior developer, I’m not at all surprised. AI speeds me up in some circumstances like writing boilerplate; things like kubernetes manifests. It does not speed up my coding, but it does help me explore options, expand my knowledge, and point me down the right track on new methods and packages. It also lets me do things I wouldn’t normally bother with, but which are good practice like finding edge cases for unit tests, packaging for multiple architectures, writing scripts to profile my code, etc.

    Essentially, I’m likely slower writing code with AI assistance but I think the code is higher quality because it let’s me quickly assess many options and implement best practices that are normally tedious to implement manually.

    I almost never accept code AI has written without modification, but I think I gain a lot from its use.








  • I used fakespot a lot. It used huristics to attempt to determine how authentic a product’s reviews are. It analyzed the reviews for things like repeated phrases, odd review activity like bragading, and other things. It then gave a letter grade to the veracity of the reviews and an “adjusted” aggregate review score after removing any reviews that it considered to be suspicious.

    I’m going to miss fakespot. I don’t know how accurate it was but it definitely informed my decisions.