> even designing the architecture is going to be completely automated
I mean, people have been dreaming about this for decades. The whole reason UML was so overdesigned in the first place was in hopes that people could code by drawing boxes and lines. The full COBRA spec had software autonomously buying components in digital marketplaces and installing without human supervision.
It is funny to see engineers insisting that there's no way a machine could do this better. If anything, the surprise is that it took good old human language -- that second L in LLM -- to get the computer to sling code. The assumption was that a computer would just "speak code" like some kind of native tongue, but instead it just understands human language and associates that with code, and relies upon things like compilers and tests to see if it's right. Just like humans.
Predictably, now that it's actually happening, engineers are worried. As they should be, but I think it's a short-term worry. The job is changing, productivity is leaping, but its still a world where computers don't need to do stuff, humans do, so humans will be making it happen one way or another.
You can get a decent idea running some of this stuff locally. Depending on how efficient you want your agent to be, you can get an awful lot done on beefy local hardware and ~300W power consumption. Just inference of course ...
That's just ... not true? Have you tried qwen3.8 (compared to qwen3) or deepseek 4? they've improved tremendously, maybe not at every class of problems, but if you take a disciplined approach and don't ask them to one-shot everything (e.g. update agents.md as you go, actually use the thing you build, give feedback etc), it's positively absurd what you can get done now with a single agent.
I agree that not every class of software or problem or this or that is going to be decimated/revolutionized whatever, but to not see any improvement since 2025 just sounds like you're not looking.
Kind of too bad there's no discussion around this, it's a very cogent AI-doomer-busting summary. I also found a thread summarizing David Bellamy's steelman takedown of the AI-bioweapon fantasy on X, linked in TFA: https://en.rattibha.com/thread/2099187370407112758
A big issue with java at big companies is that the JVM deployment is managed by sysadmin and devs can't touch it. To bless a java upgrade therefore means getting a defensive bureaucracy to take on risk, however miniscule, and since most Java improvements only help devs (rarely do they enable critical user-demanded features), sysadmins won't budge.
Just keep it disconnected and enjoy the "dumb" TV with a streamer box.
The reports of user-disconnected TVs jumping on open wifis or Amazon sidewalk by themselves are not credible. All of the problems stem from connecting the TV so don't.
I would be surprised if a truly dumb TV would be as good quality as modern LGs etc for the price. Maybe I'm wrong. But please don't pay _more_ for a dumb TV.
It is really mysterious how awestruck folks are at the HF attack. I mean just watch one modern agent (qwen 3.8, deepseek 4, glm 5.3) rip apart a coding problem and nearly destroy your computer in the process, it's a wonder it took "months" and "millions" in the first place.
OpenAI has too much money, a common post-growth-stage issue that leads to pursuing a million stupid things with no clear plan. Like running a bunch of agents for months without any idea how to keep track of progress.
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