• 2 Posts
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Joined 2 years ago
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Cake day: July 15th, 2023

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  • I’ve seen a lot of bands doing that at their merch table. I think for most bands, it’s just a keepsake like buying a T-shirt or sticker or whatever after a show. I’m sure there’s plenty of people who prefer cassettes (or at least the Walkman aesthetic) but for the most part, it’s just a souvenir.

    I’ve never been into tapes but I collect vinyl. Part of the fun is all the extras tossed in. It’s like buying a boxed set or special edition DVD/Blu-Ray. Tapes don’t really have the same space for fun stuff but Taylor Swift probably has the budget to do something “extra” and make it a whole thing people put on Instagram.






  • I don’t know if it even helps with productivity that much. A lot of bosses think developers’ entire job is just churning out code when it’s actually like 50% coding and 50% listening to stakeholders, planning, collaborating with designers, etc. I mean, it’s fine for a quick Python script or whatever but that might save an experienced developer 20 minutes max.

    And if you “write” me an email using Chat GPT and I just read a summary, what is the fucking point? All the nuance is lost. Specialized A.I. is great! I’m all for it combing through giant astronomy data sets or protein folding and stuff like that. But I don’t know that I’ve seen generative A.I. without a specific focus increase productivity very much.



  • Also, it should never be used for art. I don’t care if you need to make a logo for a company and A.I. spits out whatever. But real art is about humans expressing something. We don’t value cave paintings because they’re perfect. We value them because someone thousands of years ago made it.

    So, that’s something I hate about it. People think it can “democratize” art. Art is already democratized. I have a child’s drawing on my fridge that means more to me than anything at any museum. The beauty of some things is not that it was generated. It’s that someone cared enough to try. I’d rather a misspelled crayon card from my niece than some shit ChatGPT generated.


  • My skepticism is because it’s kind of trash for general use. I see great promise in specialized A.I. Stuff like Deepfold or astronomy situations where the telescope data is coming in hot and it would take years for humans to go through it all.

    But I don’t think it should be in everything. Google shouldn’t be sticking LLM summaries at the top. It hallucinates so I need to check the veracity anyway. In medicine, it can help double-check but it can’t be the doctor. It’s just not there yet and might never get there. Progress has kind of stalled.

    So, I don’t “hate” any technology. I hate when people misapply it. To me, it’s (at best) beta software and should not be in production anywhere important. If you want to use it for summarizing Scooby Doo episodes, fine. But it shouldn’t be part of anything we rely on yet.


  • When I worked in IT, we only let people install every other version of Windows. Our Linux user policy was always “mainstream distro and the LTS version.” Mac users were strongly advised to wait 3 months to upgrade. One guy used FreeBSD and I just never questioned him because he was older and never filed one help desk request. He probably thought I was an idiot. (And I was.)

    Anyway, I say all that to say don’t use Windows 11 on anything important. It’s the equivalent of a beta. Windows 12 (or however they brand it) will probably be stable. I don’t use Windows much anymore and maybe things have changed but the concepts in the previous paragraph could be outdated. But it’s a good rule of thumb.




  • This seems like a perfectly reasonable experiment and not something they’re going to release without extensive human and security review.

    Oauth libraries aren’t new and A.I. can probably generate adequate code. My main problem with A.I. for this purpose is that senior developers/experts don’t pop out of thin air. You need junior developers now if you want any real experts in the future. Maybe you need fewer and more specialized training. Maybe the goal is to offload the training cost to Universities and tech companies only want PhDs. Maybe someday LLMs will be good enough to not need much supervision. But that’s not where we are.

    We probably need a Level x capability scale like self-driving cars for this sort of thing.