797 karma · joined July 14, 2026
I revise my statement, this is must be a joke account.
The only same option is societal rejection. It's time for legislation and lobbying.
Geez, when did people get this stupid? Was it LLMs, or were they always this way?
"I saw you posted about a community.."
And to work to pass legislation to give them the middle finger.
AI may be one of the most harmful technologies we have created. It's time to treat it as toxic.
Show up, take your money, and get out. Hope that they don't decide they've figured out how to automate you, and build up savings in case they did.
Care about your work as much as your employer cares about you, and remember the layoffs.
Get away from work if you want to socialize.
This is just adding wishful thinking to the pile of trash.
The whole AI world is run by sociopaths that want to make human brains economically uncompetitive comparedto computers. If you think running local models will save you, you're either very pessimistic about the future of AI, or you haven't thought it through.
Or do you think it's critical to support mail that doesn't have dkim?
And, no, it doesn't actually work. Agentic engineering is a myth by people who got high on their own farts.
"Oh, please, don't ignore the other two ways I told you to ignore unauthorized messages" shouldn't need a knob.
"So we can sue them when our customers get angry"
It doesn't prevent spoofing, it doesn't say which IPs are authorized to send on behalf of a domain, it doesn't sign messages. Spoofed messages are still sendable.
Can you explain the benefit of only accepting email if Microsoft knows that you may or may not accept emails about scammers unsuccessfully spoofing your email domain? (Note, there's nothing you can do if they do tell you.)
Don't confuse DMARC with DKIM or SPF; DMARC doesn't actually do anything for email security.
The act of vetting it and finding the failures will increase understanding, but at a cost in speed over doing the research from scratch. (Generating subtly wrong text is often a good way to test understanding, and the output of AI systems is typically a mangled clone of some other well understood system. A very good exercise is building your internal pattern recognition so you can tell what's been mangled, mashed, and served up)
AI is very good at making the mash sound plausible, however, so if you don't look extremely closely, you end up repeating instead of dissecting it. And if you're hoping to learn from the AI how to design a system, you're in trouble.
The writing is downstream of that.
Wait, no, a rice cooker doesn't seem to fit.
And it's not just restricted to software. Everything I care about is getting worse.
Dribbling about how it could theoretically be better doesn't help undo the damage. "Imagine how much fun we could have playing baseball", says the man with the baseball bat, as he kneecaps you.
in the end it's just sad.
It seems most people are bad at evaluating the quality of their work, especially if they purchased it from Anthropic.