How accurate have Ed Zitron's AI skeptic predictions been?

Ed Zitron Just Disproved the Core Claim Behind His AI Bubble Case

OpenAI financial data leaked to the industry’s biggest hater settles an open question — just not in his favor

Meet Ed Zitron, AI’s original prophet of doom - Fast Company

Zitron has built a small media empire on spleen-venting rants arguing that AI is not only a bubble but a fraud—one that’s headed for a spectacular crash. What if he’s right?

AI skeptic Ed Zitron says Industry is scamming us into poverty

Ed Zitron joins The 1600 to bust the myths and fairy tales coming from our AI overlords.

Ed Zitron on big tech, backlash, boom and bust: ‘AI has taught us that people are excited to replace human beings’

His blunt, brash scepticism has made the podcaster and writer something of a cult figure. But as concern over large language models builds, he’s no longer the outsider he once was

Dr. Émile P. Torres (they/them) on Twitter / X

What's amazing about this is every time there's a new grand prediction about AI, it's like people forget the 500 previous predictions from the same group of people that were completely wrong. AI by 2025 (Musk). AI doing most coding by 2025 (Amodei). Etc. Why is that?? https://t.co/t9CcMQO4EN— Dr. Émile P. Torres (they/them) (@xriskology) January 28, 2026

We're not taking the fact-checking powers of AI seriously enough. It's past time to start.

Some notes on the Nobel Prize hallucination that wasn't

Prediction: AI will make formal verification go mainstream — Martin Kleppmann’s blog

Much has been said about the effects that AI will have on software development, but there is an angle I haven’t seen talked about: I believe that AI will bring formal verification, which for decades has been a bit of a fringe pursuit, into the software engineering mainstream.

The AI Trust Gap: 82% Are Skeptical, Yet Only 8% Always Check Sources

Original Exploding Topics survey data explores public sentiment on AI Overviews and AI-generated content, highlighting trust, skepticism, and shifting content consumption habits.

Valerio Capraro on Twitter / X

Our new paper shows that AI destroys the wisdom of uncertainty.The willingness to say “I don’t know” collapses from 44% to 3%.This happens even when the AI’s advice is wrong. Consequently, correct answers fall from 27% to 9%.Yes: some people who would otherwise answer… pic.twitter.com/l0YZ75IFHn— Valerio Capraro (@ValerioCapraro) August 10, 2026

AI Epistemic Risks: Emerging Mechanisms & Evidence

<p>Advances in artificial intelligence pose risks to humanity's collective capacity to form accurate beliefs, reason well, and maintain a healthy information en

Zhijing Jin on Twitter / X

🚀 Can #AI agents actually do science?Current agents can optimize for predictive fit — but fail at recovering the underlying physical laws.We introduce Stargazer🪐: a scalable benchmark + environment for astronomical discovery🔭Agents must:• propose hypotheses•… pic.twitter.com/hGIjz4KJMT— Zhijing Jin (@ZhijingJin) May 7, 2026

AI Researchers On AI Risk

I first became interested in AI risk back around 2007. At the time, most people’s response to the topic was “Haha, come back when anyone believes this besides random Internet crackpots.…

Why I don’t trust most human-AI interaction experimental research – Jason Collins blog

Behavioural economics, data science and artificial intelligence.