Prof. Lee Cronin on Twitter / X

It is easy to see that biology does things that cannot be computed in advanced because the future is not controlled by statistics, it is controlled by creative actions. This means today’s statistically-driven GenAI is fundamentally unintelligent.— Prof. Lee Cronin (@leecronin) March 28, 2026

233. "The Illusion of Thinking" — Thoughts on This Important Paper

This is a fantastic paper. I just love it. tl;dr AI is not human. Anthropomorphization has been bad for AI, LLMs, and Chat. Clippy walked so today's AI could run.

The Fabric and the Brain

Articulating agent ecologies with high-personality planetary computation

He Was Right About AI. Is He Right About the Fate of Humans?

Hans Moravec predicted human-level AI by 2028. Now he contemplates our species’ end—and his own.

The end of the age of heroes

AI will soon be better at math than any human. What does that mean?

AI Doesn’t Reduce Work—It Intensifies It

Aruna Ranganathan and Xingqi Maggie Ye from Berkeley Haas School of Business report initial findings in the HBR from their April to December 2025 study of 200 employees at a …

Rationality: What It Is, Why It Seems Scarce, Why It Matters by Steven Pinker

In the twenty-first century, humanity is reaching new heights of scientific understanding—and at ...

AI That Evolves in the Wild | Edge.org

I’m interested not in domesticated AI—the stuff that people are trying to sell. I'm interested in wild AI—AI that evolves in the wild. I’m a naturalist, so that’s the interesting thing to me. Thirty-four years ago there was a meeting just like this in which Stanislaw Ulam said to everybody in the room—they’re all mathematicians—"What makes you so sure that mathematical logic corresponds to the way we think?" It’s a higher-level symptom. It’s not how the brain works. All those guys knew fully well that the brain was not fundamentally logical.

The People Who Will Thrive in the AI Age

What will differentiate people is not how smart they are but their relationship to mental effort.

Stop trusting the extinction math

The AI industry's favourite 'statistic' isn't backed by data. And it distracts from what's really going on.

Why the Human Brain Project Went Wrong--and How to Fix It

Two years in, a $1-billion-plus effort to simulate the human brain is in disarray. Was it poor management, or is something fundamentally wrong with Big Science?

The AI Researcher Who Just Quit Anthropic Says It’s ‘Crunch Time for Humanity’

Jacob Coxon talks to WIRED about the “mini Manhattan project” inside Anthropic, the problem with alignment, and why AI labs have just a few years left to make their systems safe.