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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
Posts
3
Comments
302
Joined
1 yr. ago

  • I never understood the popularity of AWS. It's much cheaper using VPSs and even dedicated servers sometimes. I've worked on very cost-sensitive projects where I rolled our own highly-available k8s and postgres clusters on dedicated servers and VPSs and saved the company a shit load of money. Only used the "cloud" to store backups (Backblaze). There's tons of other options other than major "cloud" providers, and they're often much cheaper.

  • Hmm, a lot of my career was done doing embedded programming, where mistakes in production are very costly, and software/hardware has to be released with basically zero bugs, so that may be where the disconnect is. I still think bugs and technical debt are costly elsewhere too if the product is going to have a long lifecycle, but executives are just dumb.

  • For open source stuff, Codeberg is good. For private stuff, just git + ssh is good. Gitlab and Bitbucket are fine for corporate stuff, I guess. An organization could just self-host a Forgejo (or Gitlab) instance as well.

  • I keep hearing stuff like this, but I haven't found a good use or workflow for AI (other than occasional chatbot sessions). Regular autocomplete is more accurate (no hallucinations) and faster than AI suggestions (especially accounting for needing to constantly review the suggestions for correctness). I guess stuff like Cursor is OK at making one-off tools on very small code-bases, but hits a brick-wall when the code base gets too big. Then you're left with a bunch of unmaintainable code you're not very familiar with and you would to spend a lot of time trying to fix yourself. Dunno if I'm doing something wrong or what.

    I guess what I'm saying is that using AI can speed you up to a point while the project accumulates massive amounts of technical debt, and when you take into account all the refactoring and debugging time, it results in taking longer to produce a buggier project. At least, in my experience.

  • I think part of it is because they think they can train models off developers, then replace them with models. The other is that the company is heavily invested in coding LLMs and the tooling for them, so they are trying to hype them up.

  • I've tried Copilot for a while and played around with Cursor for a bit. I was better and faster without Copilot due to sometimes not paying enough attention of the lines it would generate. This would cause subtle bugs that took a long time to debug. Cursor just produced unmaintainable code-bases that I had no knowledge of, and to make major changes, would be faster for me to just rewrite it from scratch. The act of typing gives me time to think more about what I'm doing or am going to do, while Copilot generations are distracting and break my thought processes. I work best with good LSP tooling and sometimes AI chatbots (mostly just for customized example snippets for libraries or frameworks I'm unfamiliar with; though that has its own problems because the LLMs knowledge is out of date a lot) that don't directly modify my code.

  • People have different levels of "nerves" as others, and it kind of sounds like you may filtering out applicants on an arbitrary metric (how nervous a person may be in an interview). Don't have enough information about your process to say for sure (obviously), but it may be something to think about. Interviews can be very high-stakes for some people (such as "I may become homeless"), and not for others ("my parents are rich"). After hired, it's not necessarily as high-staked, and toy problems aren't what SEs work on day-to-day.

  • If doing an overlay network (network on top of the Internet), you probably won't be able to do much better than Tor or i2p.

    We confirm the trilemma that an AC [anonymous communication] protocol can only achieve two out of the following three properties: strong anonymity (i.e., anonymity up to a negligible chance), low bandwidth overhead, and low latency overhead.

    https://freedom.cs.purdue.edu/projects/trilemma.html

    This applies to all types of anonymous networks as well (BT, Wifi, etc).

  • I think the far-right "manosphere" influencers are a good indication at what it does to mental health. Fascism, and extremist groups in general, seem to thrive on men not getting laid. IDK what the cause of this is though; I suppose more digital, less IRL social entertainment. They drink and do less drugs, which could be a reason too (especially drinking).

    Edit: This is a self-reported statistic too. It may just be men are more comfortable reporting that their virgins instead of lying.

  • If your beans aren't native to your area, I guess they're bringing balance to your ecosystem.

  • Trump, Bukele, Milei, Orban, Thiel, Musk, etc. It's the "Dark Enlightenment" and "Network State" type of fascists that want to replace democratic government with stuff like corporate-controlled city-states, and crazy shit like that. They see it as a means to starve the government so they can run their own corporation-like governments.

    The message in the genesis block alludes to the ideology (as that kind of stuff was a major talking point for right-wingers back then), though I guess it's not definitive proof. The early community was definitely Austrian-school adjacent right-wingers though.

  • Fiscally irresponsible

    I mean, there are people who just don't have the money for a needed "purchase" (like medical care, transportation, or food), and hope they'll be able to get a better job or make more money in the future to pay it off later. Been there.

  • Lemmy is quite left-leaning, and the impetus behind creating Bitcoin was right-wing Austrian school economics. Now, it's being pushed by literal fascists.

  • More like $200k in total comp (but I suppose if the stock rockets like 5x after you're hired, it can end up being $400k). Senior positions can make > $400k/yr in total comp. Some companies have back-loaded vesting schedules so they can get rid of you before the majority of your options vest though.

  • Is this just because many prominent right-wing influencers/propagandists/social media platforms are also not with Trump on this Epstein stuff? I.e. they're still just being manipulated? I also wonder if this is the result of monied interest turning on Trump (i.e. Musk and others being hurt by tariff shenanigans and all the other crazy stuff).

  • They are black boxes, and can even use the same NN architectures as the generative models (variations of transformers). They're just not trained to be general-purpose all-in-one solutions, and have much more well-defined and constrained objectives, so it's easier to evaluate how their performance may be in the real-world (unforeseen deficiencies, and unexpected failure modes are still a problem though).

  • Did Japan back then pay their assembly line workers the equivalent of $5k USD/year (in today's dollars) and have nearly no worker protections? Not a rhetorical question; I just don't know. Seems like Japan had a better standard of living back then compared to Chinese workers now, so I would guess their workers were compensated and treated better.

    Not defending US auto corps (or any corp for that matter). The regulatory capture in the US is insane, and workers aren't treated as well as most of the rest of the first world.

  • I do, but was thinking 1984-levels of control of reality.

  • That was my first though too. But the author is:

    Guillaume Thierry, Professor of Cognitive Neuroscience, Bangor University