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Posts
3
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302
Joined
1 yr. ago

  • Governments are captured by these companies. Any regulation would undoubtedly benefit these companies at the peoples expense. Right now, the best solution is probably open research and open weight models to keep the field level.

  • Sovol due to openness. An enclosed or easily encloseable one (core-xy design) if you want to print ABS/ASA.

  • In my experience (of having my office 2-doors down from the CEO of a minor public company), most of his "work" was just meetings with other CEOs and execs over breakfast, lunch, dinner, golf, etc to discuss business deals, acquisitions, and such. Not sure how an AI could do that, as it was mostly a social/class/nepotism thing.

  • In my experience, GUI was horrible because of the GIL. Python is nice because you can write and read it quickly, and packages like numpy allow you to use very natural syntax. Most of the numerical packages wrap C/C++/Fortran binaries which are very optimized. You just have to keep in mind not to do that kind of stuff directly in Python, write tight loops, etc.

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  • IDK about Sweden. In the US it seems to pay less, and the jobs are concentrated in different regions than other SWE jobs (which kind of mitigates the lower pay). I did embedded development for a couple years right out of college, then moved to full stack web development. I'm pretty sure the job market in the US is shit for every software development field. I think embedded development is harder to offshore (unless the entire project, electrical engineering and all is offshored). I did find the work very fun; often working in the physical world, and trying to find ways to stay within the CPU/RAM/Flash/Peripheral constraints. I remember once, I had to reverse engineer a piezo-motor controller by scoping the very expensive proprietary dev board, then I reimplemented the control signals by using a microcontroller's audio playback interface.

  • But that’s what human programmers can do

    I don't think humans can solve the undecidable problems. If I understand them correctly, they're like a law of nature; extends into mathematics, logic, and any formal system (e.g. Godel's Incompleteness Theorem).

  • Same (but only 6 months). Min wage + commission. But, during election season, because the company didn't get commission, they just had the computers run through the lists and have us immediately hang up instead of going through the campaign scripts.

  • My favorite way is Borscht. They're pretty good grilled, then cut up, and put in salad too.

  • Amazon was junk level for a long time. I don't think it's uncommon for early, "grow fast at all costs" companies to have poor credit ratings. Though, Oracle really isn't an early stage company.

  • You can learn how to use AI coding tools in a week at most, and there's no telling if next week they'll be a new harness or loop or whatever that becomes the new trend, making everything you've learned so far obsolete. Nobody's being left behind. AWS also isn't hard to learn if you've done the similar infrastructure stuff yourself. And git isn't hard to learn if you've used other version control systems.

  • AFAIK, these companies are making record revenue.

  • I got results kinda like that before when I tried a Volcano on an old Bowden style printer and printing wet PETG... Tons of oozing.

  • The "best" one I've tried is the latest Opus. I don't trust any of them to use for real work, so I mostly just play around with a local Qwen 3.6 27B or Deepseek v4 Flash. I have heard OpenAI's latest models produce less bloat than Anthropic's.

    I should say I do find LLMs useful as a kind of search agent (both web and large unfamiliar code bases). And GhidraMCP is pretty cool (maybe just because I don't have much experience with reverse engineering).

  • I think they could significantly lower their costs if they turn their focus away from the race to "AGI." But, their valuations don't really make sense unless investors believe they will achieve AGI.

  • I experiment with it quite a bit just because that's what all the employers want right now, and I never get good results. It's not good at making "decisions," and you don't really know what decisions that will need to be made until you start coding. Or, you can meticulously plan and review everything, which can take longer than just writing the code (we already have pretty good precise languages to specify behavior). To be clear, I'm talking about all the small decisions like, "I've already wrote similar code to this, maybe I should refactor it out to a function," "maybe I should use a hashset here instead of an list," "I should probably use stable_sort here instead of sort," "maybe this endpoint should accept PUT instead of POST," etc.

  • Zig doesn't allow AI contributions.

  • Not all LLM generated code is slop.

    I've yet to see/experience AI write good, non-trivial code. Would be cool if it did though.

  • Windows and the fascist company behind it needs to die.

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  • We need to bring back reverse dominance hierarchy. Even in systems more "fair" like democracy, many of the most popular politicians are just shitty people very good at manipulation. Just picking people at random to serve would probably produce better results.