Skip Navigation

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
Posts
3
Comments
302
Joined
1 yr. ago

  • 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.

  • Yeah, the CS head at the small college I went to was also the Philosophy head (he got his doctorate in philosophy). The same formal logic class was a requirement for the CS, philosophy, and law degrees.

  • 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.

  • 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.

  • Highly depends on area. $1 million is about 16 years of the median wage. It can be hard to survive on the median in some cities, but can be OK in rural or extremely economically depressed cities/towns. I don't think federal minimum wage is enough to survive anywhere without assistance.

  • 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.

  • There's a lot of indication that LLMs are peaking. It's taking exponentially more compute and data to get incremental improvements. A lot of people are saying OpenAI's new model is a regression (I don't know, I haven't really played with the new model much). More foundational breakthroughs need to be made, and these kinds of breakthroughs are often the result of "eureka" moments which can't be manifested by just throwing more money at the problem. It's possible it will take decades before someone discovers a major breakthrough (or it could be tomorrow).

  • China leads the world in scientific publication, even when only taking into account reputable journals and high-impact publications. There's no doubt in my mind the US will decline further with the current attacks on science and education, and anti-intellectualism in general.

  • This image seems right-wing coded. Also, nobody has to invade, it's for sale.

  • In the grand scheme of things, I think AI code generators make people less efficient. Some studies have come out that indicate this. I've tried to use various AI tools, as I do like fields of AI/ML in general, but they would end up hampering my work in various ways.

  • I had it done once when I was still a child, and the issue reoccurred. No issues for more than a decade from the ones I had as an adult though.

  • I almost never have cash or even change now, so that's what I tell them. I used to give them some money if I had it and wasn't immediately going to use it. One of my old friends used to give them a beer out of a pack he bought if there was a person outside the store or on the corner begging on the drive to wherever he was going.

  • I had a Mox and it was the most stable router I've ever had. Never had to power cycle it, and I even have to power cycle my fancy Asus somewhat often.