How did Leopold do? Evaluating Situational Awareness's predictions

In June 2024, Leopold Aschenbrenner published Situational Awareness, a 165-page essay predicting AGI by 2027, trillion-dollar compute clusters, an in…

Daniel Kokotajlo on Twitter / X

Dan Selsam is a current OpenAI capabilities researcher. (since 2022) He was my boss for a while. He doesn't have a twitter account but has made this public statement of his views on AI risk and sent it to me to share:Dan Selsam's Personal Statement on AI Risk:I have been…— Daniel Kokotajlo (@DKokotajlo) September 14, 2026

The Connections That Turned a Precocious Teen Into the Fallen ‘Nostradamus of AI’

A 24-year-old investor hailed as a visionary attracted billions—before turning into Wall Street’s latest cautionary tale.

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.…

Meredith Whittaker on Twitter / X

Now that even Goldman, Sequoia, and other major investors are calling it, it's good to remember that the shakiness of the AI market, and the mismatch between capex and ROI, has been clear for a long time to those of us who look closely at the political economy of AI. https://t.co/dLLNAcW5Sn— Meredith Whittaker (@mer__edith) July 30, 2024

Andrew Orlowski on Twitter / X

By far the shrewdest and most entertaining analyst of the AI bubble is Georg Zoeller, ex Facebook. Re-reading his DeepSeek reaction piece from 18 months, which holds up well. It was all so predictable: banning open source, the Red Menace, pivot to military. What has really… pic.twitter.com/38dX7vcrkC— Andrew Orlowski (@AndrewOrlowski) July 5, 2026

The AI bubble isn’t new — Karl Marx explained the mechanisms behind it nearly 150 years ago

OpenAI CEO Sam Altman’s warning of an AI bubble highlights a deeper economic problem: capitalism is producing more capital than it can profitably invest.

“The problem is Sam Altman”: OpenAI insiders don’t trust CEO

OpenAI brainstorms ways AI can benefit humanity in effort to counter bad vibes.

The Phony Comforts of AI Optimism

A few months ago, Casey Newton of Platformer ran a piece called "The phony comforts of AI skepticism," framing those who would criticize generative AI as "having fun," damning them as "hyper-fixated on the things [AI] can't do." I am not going to focus too hard on this

The Real Existential Risk Is AI CEOs Avoiding Oversight: “Alternative Nobel” Winner Timnit Gebru

We speak to the prominent AI researcher and leading critic of the AI industry, Timnit Gebru, who was recently awarded a 2026 Right Livelihood Award for her work investigating the harms and hype behind the global buildup of artificial intelligence. “Instead of discussing faulty, unreliable systems,” Gebru says tech leaders like SpaceXAI’s Elon Musk, OpenAI’s Sam Altman and Anthropic’s Dario Amodei are “marketing their systems as all-knowing, superpowerful, superintelligent,” and lobbying for “self-policing and self-regulation” to avoid being held “liable through existing laws.” Gebru expresses skepticism over increasingly widespread claims that AI algorithms pose an existential risk to humanity, warning that such claims are overblown and that “what is actually happening is regulatory capture.”

An AI Upheaval Is Coming for Media. This Journalist Is Already All In.

AI-assisted stories accounted for nearly 20% of Fortune’s web traffic in the second half of 2025. Most are written by Nick Lichtenberg.

AI agents can't yet do open-ended AI research

Early evidence from two case studies