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Joined 2 years ago
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Cake day: March 28th, 2024

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  • In the US and that’s absolutely the norm here. I’d know - I went through it.

    Your edit expands the context outside of what we’re discussing - losing 10,000 STEM PhD candidates. People don’t often do part-time PhDs in STEM as they’re not frequently offered. People aren’t keeping their full-time jobs when getting a STEM PhD because that becomes their full-time job.

    Looking at it from a super high level, universities apply for funding to complete research, which is completed b graduate students with assistance from faculty. Their tuition is covered to give the graduate student the necessary skills to complete the research while also furthering their other educational goals as time and funds allow.There are often constraints on how and when this research is performed which can make it incompatible with a part-time schedule. The time requirements can also be massive - between classes, teaching, lab research, field research, and being the de-facto lab manager, I easily put in 70-80 hours a week. I even had to sign an agreement that I wouldn’t seek outside work or I’d lose my funding, which ultimately was comical given I wouldn’t have the time








  • You’re spot on regarding how AI operates.

    AI is stupid story time!

    I recently helped a friend with a self-hosted VPN problem. He had been using a free trial of Gemini Pro to try to fix it himself but gave up after THREE HOURS. It never tried to help him diagnose the issue, but instead kept coming up with elaborate fixes with names that suggested they were known issues, like The MTU Traffic Jam, The Packet Collision Quandary, and, my favorite, The Alpine Ridge Controller Trap. Then it would run him through an equally elaborate “fix”. When that didn’t work, it would use the failure conditions to propose a new, very serious sounding pile of bullshit and the process would repeat.

    I fixed it in about fifteen minutes, most of that time spent undoing all the unnecessary static routing, port forwarding, and driver rollbacks it had him do. The solution? He had a typo in the port number in his peer config.

    I can’t deny that LLMs are full of useful knowledge. I read through its output and all of its suggestions absolutely would have quickly and efficiently fixed their accompanying issue, even the thunderbolt/pcie bridging issue, if the real problem had been any of them. They’re just garbage at applying that information.




  • The ads seem to be pretty variable depending on usage so I suspect not everyone is seeing the same thing. I rarely use YouTube in any form. When I do and I’m rawdogging it for whatever reason, it seems like I get a few short ads, like 30s or less. They’re annoying but not awful.

    A friend keeps YouTube running constantly on his TV in the background while he works. He gets so many ads and they’re so long! Like several minutes of ads, mostly unskippable, over the course of a 15 minute video. I don’t know how people deal with that shit.



  • Anecdotal, but… I’ve been a musician for 36 years and have fantastic hearing not just for my age but for any age. I know, I have to get it quantitatively tested twice a year!

    I can’t tell the difference at all between FLAC and 320 kbps from the same source. I can tell a difference between FLAC and 128 kbps, but it’s not huge. It sounds a bit dull, but I have to be looking for the difference and comparing the two. If you just gave me one or the other with no reference, I might suspect the 128 if it was a simple recording of a single instrument or a song I’m intimately familiar with, and even then I wouldn’t be sure of it. It just sometimes “feels” weird.

    So I converted over 4 terabytes of my music stash to 320 kbps and cut the total space into less than 2. Feels good.


  • I’ll give AI this much credit. I have a rare disease that took me nearly two decades to get diagnosed. I saw over 20 doctors during that time, most of which had no idea while the rest misdiagnosed me.

    I had a little intro script I wrote that explained my symptoms to keep it consistent. My roommate is a big AI proponent while I’m AI critical. At his suggestion, I signed up for a free trial for his favorite and gave it my little intro script. It processed for a few seconds, then spit out the correct diagnosis and subtype, then started asking if I had symptoms for a related comorbidity, which I do. That would have saved me 22 years of pain and confusion. WTF.

    I’ve had a related chronic injury for this entire time that even my condition-aware doctors have been baffled by. I explained it in detail and AI barfed out its best guess. I worked with it until I had a possible rehab program, which is actually working.

    So now I’m AI ambivalent. I strongly believe humans are at best passable doctors, but that the breadth of information for even one discipline is already more than most humans can properly understand and utilize. That’s how you end up with orthopedists that just specialize in one joint or dermatologists who concentrate on just a few conditions - there’s just too much knowledge for one person to handle all of it and that knowledge continues to grow. As medical science becomes even more advanced, I think practitioners will have to lean on technology in some form as the practice of medicine further outstrips human capabilities.