The disruption is real. It's also predictable.
AI FOR EPISTEMICS & COORDINATION
Civilization and technology have radically improved the human condition. Nonetheless, the world sometimes goes in directions which essentially nobody would prefer — e.g., nuclear arms races, unexpected financial crashes, predatory marketing, or ubiquitous political misinformation.
What if the $3trn AI investment boom goes wrong?
Even if the technology achieves its potential, plenty of people will lose their shirts
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.…
AI's Catastrophic Risk Isn't Rogue Machines, It's Cognitive Surrender
For many, AI introduces the suspicion that self-investment is inherently a losing proposition, writes recent graduate Evan Liu.
AI Billionaires Are Starting to Get Scared
The world's tech billionaires are starting to moderate their rhetoric on AI automation, but that doesn't mean it's all in good faith.
AI is probably not a bubble
AI companies have revenue, demand, and paths to immense value
AI is probably not a bubble
AI companies have revenue, demand, and paths to immense value
Companies That Replaced Humans With AI Are Realizing Their Mistake
As AI agents have yet to pay for themselves, more and more executives are waking up to the sloppy reality of AI hype.
Timing Is Everything in the AI Bubble
This week's tech sell-off is a symptom of a deeper problem: no one knows when - or how - big tech's $1 trillion bet on AI is going to pay off.
Import AI 452: Scaling laws for cyberwar; rising tides of AI automation; and a puzzle over gDP forecasting
How much could AI revolutionize the economy?
1/7 Proud to share our paper, accepted as an oral at ICML '26! We highlight how Big Tech’s influence on AI R&D drives damaging outcomes, and what we as researchers can do about it. We also discuss underlying economic causes. See link for paper, and below for a brief summary arxiv.org/abs/2512.03077
1/7 Proud to share our paper, accepted as an oral at ICML '26! We highlight how Big Tech’s influence on AI R&D drives damaging outcomes, and what we as researchers can do about it. We also discuss underlying economic causes. See link for paper, and below for a brief summary arxiv.org/abs/2512.03077
