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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)S
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2 mo. ago

  • IDK, farm owners are an extremely small part of the population. Even farm workers are only like 1% of the labor force. They're not really the common clay. If they get it early, it will likely be because the big players in the space bribed Trump and/or other officials.

  • HDR is more noticeable, but yeah, I don't care if it's 1080p or 4k.

  • I'm completely out of shape and don't exercise at all, but commuted to work on a bike when my workplace was ~5 miles away. Wasn't hard at all and only took a little longer than a car. Had a rack on the back and bags to pick up groceries too. If you need carry a lot of heavy tools every day, it obviously wouldn't be ideal. Even then a bicycle trailer could be used up to something like 100lbs.

  • Used it for a ML MOOC a long time ago. Switched to Python/Numpy for better general programming features. Numpy has pretty good syntax for matrix computation, IMO.

  • Lora is proprietary. The hardware manufacturers pay for that though (and pass the costs down to you).

    RAK boards without GPS can use ~15ma on average. Not sure how much more with GPS. Sensecap t1000-e is pretty compact, has GPS, is water resistant, and can last 3 days on battery.

  • Ha, yeah, I started at a community college, for an associates in IT, and it was mostly Cisco, Visual Basic, and MS SQL. Went to a 4 years school for a BS, and it was more about logic and different programming paradigms. Then at grad school, it was mostly theoretical stuff and algorithm analysis.

  • My theory is the money-people (VCs, hedge-fund mangers, and such) are heavily pushing for offshoring of software engineering teams to places where labor is cheap. Anecdotally, that's what I've seen personally; nearly every company I've interviewed with has had a few US developers leading large teams based in India. The big companies in the business domain I have the most experience with are exclusively hiring devs in India and a little bit in Eastern Europe. There's a huge oversupply of computer science grads in India, so many are so desperate they're willing to work for almost nothing just to get something on their resume and hopefully get a good job later. I saw one Indian grad online saying he had 2 internship offers, one offering $60 USD/month, and the other $30/month. Heard offshore recruitment services and Global Capability Centers are booming right now.

  • I kinda agree. IIRC, they were originally built for downloading from newsgroups, which does need a lot of automation. Personally, I do find Sonarr useful, so I don't have to manually keep track of when new episodes come out. Before Sonarr, I used to use a tool that was configured with YAML or something, forgot what it was. I do run an *arr stack now because I have a multi-member household, and they don't want to go searching for stuff on trackers, so they just use Overseerr.

  • Some big tech companies pay that, theoretically, in total compensation for entry level. These companies make about $1 million per employee.

  • I think it's the same in all developed nations; constantly needing more skills to achieve the same standard of living. I think a lot of it is from nearly all resources getting more expensive to extract (oil, wood, iron, etc) due to us having already extracted all the low-hanging-fruit, and needing to move on to more resource-intensive methods like offshore-drilling, fracking, importing lumber long distances from harsher climates. The other drivers are the attacks on labor and executives/shareholders taking more profits for themselves instead of paying their workers more.

  • Foundation. Just finished Murderbot yesterday; pretty good.

  • The Zapatista territory is pretty large and has a population of somewhere around 300k. It's a network of autonomous municipalities, so it kind of like a bunch of communes. They have their own schools, doctors, and hospitals; but they are quite poor (they're mostly indigenous farmers).

  • The Zapatista's aren't exactly communist, but they have an interesting system of federation, rotating "leadership" (I think people are randomly selected for most leadership roles), collective decision-making/consensus building, community justice, etc. I think a lot of communes have systems to avoid hierarchy as well. From what I've seen, they have their own, different problems, but many have been around for long time, so they "work," in a sense.

  • I think I read the RLHF kind of makes these logprobs completely unusable too.

  • I think it's driven by the investors. In the case of big tech, the large institutional investors are rewarding companies any time they say "AI" and lay off workers. In the case of startups, VCs are almost exclusively investing in startups that use "AI," and have a lean or offshore workforce.

  • I find it hard to believe the true numbers are this low. Every job posting gets many hundreds or even thousands of applicants. It's a shame so much talent is wasted by so many people being unemployed and doing "unproductive" things like spending months applying to jobs.

  • IDK about most. But, I've seen many OS contributors say they're looking for work. Seen one recently saying he won't be contributing much to the project anymore because he's housing-insecure. Seen maintainers for popular projects get laid off and are now looking for work. Seen people with 10+ and 20+ years of experience not being able to find a job after many months.

  • Does Snowflake still work in China? Thought I read they're now able to detect and block it.

  • I've used AI by just pasting code, then asking if there's anything wrong with it. It would find things wrong with it, but would also say some things were wrong when it was actually fine.

    I've used it in an agentic-AI (Cursor), and it's not good at debugging any slightly-complex code. It would often get "stuck" on errors that were obvious to me, but making wrong, sometimes nonsensical changes.