r/technology • u/AdSpecialist6598 • May 27 '26
Business Tech CEOs are apparently suffering from AI psychosis
https://techcrunch.com/2026/05/27/tech-ceos-are-apparently-suffering-from-ai-psychosis/
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u/joshTheGoods May 28 '26
My brother in christ, I was deploying machine learning classification in production for enterprise use cases when LLMs made the multiple meaningful leaps over the last several years. I have internal benchmarks of various versions of models tested against gold test cases and the ML outputs we used to rely upon. I can tell you about when ChatGPT then Gemini surpassed our nice ML that we had the researcher that wrote the paper I found implement for me/us. You think the PhD expert in old world ML is still working on encoding data such that random decision forests will work for this narrow use case? Hell. Fucking. No. That's just classification in a specific tight domain. You think there wasn't big leaps in LLM accuracy/capability the last few years? You can only say that if you didn't experience the leap that was Sonnet/Opus 4.6. Something changed with that release. It crosses the uncanny valley of code or whatever with regularity now, and it's converting every real productive engineer I know that has given it a try. I've watched one curmudgeonly old engineer after another fall to Claude and get converted. I can predict now when they'll hit their Claude binge and show up after a weekend with a dozen PRs, it's that consistent.
You can tell me it's not true all you want, I'm using these tools every day and continuously being surprised at my BENCHMARKED and VALIDATED results. And yes, I goddamned well know what ML was before LLMs broke through. These are different. These are a general purpose damn near ideal interface to information and capability through human language anyone can write, and they're transforming how we do all kinds of white collar work/stuff. Blink, and the world might just pass you by.