Perceptual system for verified claims about the state of the world
AI Aqueducts: Speed. Confidence. And Contaminants.
The AI Pipeline Has No Way to Judge the Science It Uses
Simon on Twitter / X
Can AI help connect theorems humans write in papers to proofs computers can check?We just released TheoremGraph (https://t.co/PQ8FcFQGat), and I made a 3Blue1Brown style video overview of the idea.This project was my first real research experience, and it meant a lot. Start… pic.twitter.com/yMUA0QziXM— Simon (@waskaja) June 29, 2026
LLM use in scholarly writing poses a provenance problem
Nature Machine Intelligence - LLM use in scholarly writing poses a provenance problem
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
You’re Thinking About AI and Water All Wrong
Fears about AI data centers’ water use have exploded. Experts say the reality is far more complicated than people think.
The Often Overlooked Water Footprint of AI Models
… and what that means for individuals, newsrooms, and journalists
AI Detector — Verified AI Content Checker | Pangram
Dive into the technical foundations behind Pangram's AI detection stack and understand how we achieve low false positive rates across modalities.
The ClaimReview Project
ClaimReview is a tagging system for fact-checks, providing a new way to identify fact-check articles for search engines and apps.
A Collectivist, Economic Vision for AI
Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word “intelligence” is being used as a North Star for the development of this technology, with human cognition viewed as a baseline. This view neglects the fact that humans are social animals and that much of our intelligence is social and cultural in origin. Moreover, failing to properly situate aspects of intelligence at the social level contributes to the treatment of the societal consequences of technology as an afterthought. The path forward is not merely more data and compute, and not merely more attention paid to cognitive or symbolic representations, but a thorough blending of economic and social concepts with computational and inferential concepts at the level of algorithm design. , The recent focus of AI has been on the exploitation of massive data to mimic and augment human cognitive capabilities. A complementary focus is provided by the social and economic aspects of intelligence.
Epistemological Fault Lines Between Human and Artificial Intelligence
Large language models (LLMs) are widely described as artificial intelligence, yet their epistemic profile diverges sharply from human cognition. Here we show that the apparent alignment between...
How Much of the Internet Is Written With AI?
In a random sample of 10,000 webpages collected in July 2026, one-in-ten show signs of being written or substantially edited by AI.
Living in the Simulacra
Despite a twenty-first-century plethora of images and our collective understanding that digital tools may alter the truth, human beings have a strong belief ...
Trusting your own judgement on ‘AI’ is a huge risk
Writing at the end of the world, from Hveragerði, Iceland