The tell of an unhinged anti AI rant that pulls only to the worst case most negative viewpoint.

Also we’re just so damn stupid to learn from history, or even just people 10 years older than us, that we repeat the cycle.

And there I guess is where saying a new sucker is born every minute is from.

LLMs are actually producing a lot of pretty good stuff, can debug things that would have taken an entire team a week, and the people running AI companies are also generally like the most boring supervillains imaginable. All true.

It is also completely screwing up the global economy, and most people barely understand what it is and what's happening.

It's also not going to collapse anytime soon as a technology despite what the economy does, and it's going to get a lot worse before it gets better. Everyone who's extreme on it on either end is generally wrong.

The main cause of water fear mongering is that one woman’s well was dirty during construction of a data center. First construction is not the center running, and having lived on a well they get dirty for all kinds of reasons.

This rings true.

Sure they can mostly write better code than a toddler but this constant nudging and reminding and reiterating and stopping them from using the token budget of the whole company for a one off script. It gets tiring and I feel like I am losing brain power while doing it. Maybe it's faster but explosive diarrhea is also a faster way to produce shit.

Me, I pointed Claude Opus 5 at a C codebase I've been working on for years and it immediately found five serious bugs and told me how to fix them, as well as how to use Linux system calls I wasn't familiar with to solve some other problems. And I gave it a new language for PEGs I'd written up a couple of years ago, and it wrote me a working implementation in OCaml that afternoon, fixing several bugs in my example grammars along the way and resolving a conceptual problem I'd had a roadblock on. I asked Fable 5.1 to implement a minimal proof assistant, and it wrote a clone of J-Bob in Python, which I'm studying now. Although there is a certain firehose quality to this stuff, I sure don't intend to use AI to actively de-skill my brain.

That doesn't guarantee that AI will be a beneficial innovation overall, of course! As with most innovations, it probably depends on the balance between people being able to use the innovation to gain control over their own lives, and people being able to use it to gain control over others' lives. (Barring a FOOM scenario, of course, where our prediction ability is nonexistent.)

Same. I quit, aside from two contracts I'll serve until they run out, I'll be studying Electrical Engineering. Even if AI takes over that space... good luck constructing a robot with the dexterity required to pull cables.

To anyone in IT... go and study for some qualification in tasks not easily doable for a machine. The trades are going to be a goldmine especially with all the boomers retiring. Or buy some ranch in the midst of nowhere and farm artisanal chickens, cattle or goats.

(For legal reasons, the latter was a joke. Farming is extremely risky, requires a lot of upfront cash, a lot of what used to be generational knowledge, but it seems to attract a lot of IT people, especially for whatever reason the goat farming)

I don't know how this will play out, but I haven't seen anything like this before.

But if you do think vulnerability research matters, and you're trying to argue that frontier models aren't a seismic change for that discipline, you have almost no company. Vulnerability researchers are overwhelmingly leaning on automation to find vulnerabilities and, just as importantly, generate the tooling required to test hypotheses.

You can feel about that however you want to feel about it. I mostly don't care, except: you can watch people like this being negatively polarized back into the bad old days of the mid-1990s, content-free CERT advisories, and vendor-controlled "responsible disclosure" by a use case that frontier models unimpeachably excel at.