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Joined 5 months ago
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Cake day: February 6th, 2025

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  • I’ve had the same experience. The first HDD that failed on me was a Barricuda 7200.11 with the infamous firmware self-brick issue, and a second 7200.11 that just died slowly from bad sectors.

    From then on I only bought WD, I have a Caviar Black 1TB from oh, 2009-ish that’s still in service, though it’s finally starting to concern me with it’s higher temperature readings, probably the motor bearings going. After that I’ve got a few of the WD RE4 1TBs still running like new, and 6 various other WD Gold series drives, all running happily.

    The only WD failure I’ve had was from improper shipping, when TigerDirect (rip) didn’t pack the drive correctly, and the carrier football tossed the thing at my porch, it was losing sectors as soon as it first started, but the RMA drive that replaced it is still running in a server fine.














  • The recent boom in neural net research will have real applicable results that are genuine progress: signal processing (e.g. noise removal), optical character recognition, transcription, and more.

    However the biggest hype areas with what I see as the smallest real return is in the huge model LLM space, which basically try to portray AGI as just around the corner. LLMs will have real applications in summarization, but largely otherwise they just generate asymptotically plausible babble, very good for filling the Internet with slop, not actually useful to replace all the positions OAI, et al, need it to (for their funding to be justified).



  • Writing tests is a good example. It’s not great at writing tests, but it is definitely better than the average developer when you take the probability of them writing tests in the first place into account.

    Outside of everything else discussed here, this is something I disagree with on a fundamental level, flawed tests are worse than no tests, IMO.
    Not to get too deep in to the very contentious space of testing in development, but when it comes to automated testing, I think we’re better off with more rigorous[1] testing instead of just chasing test coverage metrics.


    1. Validating tests through chaos/mutagen testing; or model verification (e.g. Kani) ↩︎