But maybe not new concepts
AI #169: New Knowledge
Even in a relatively quiet period, AI is out there creating new knowledge.
Why I believe current AI models can really think and understand - Part 2 of 3
Why computers can in principle produce thinking and understanding
Why I believe current AI models can really think and understand - Part 1 of 2
How the human mind is different from our conception of it
AI’s Next Chapter Requires Human Expertise
The future of AI doesn’t just require technical skills; it demands deep human expertise, writes Annie K. Lamar.
I don’t think we are close to “AI scientists”
Today's AI agents are not designed to extract deep insights from new observations.
AI Is Evolving — And Changing Our Understanding Of Intelligence
Advances in AI are making us reconsider what intelligence is and giving us clues to unlocking AI’s full potential.
More Than a Tool
What We Learned from a Year of Conversations About AI
What matters in the age of AI is taste
the case for why a curated personal knowledge base has never mattered more
“Wait, not like that”: Free and open access in the age of generative AI
The real threat isn’t AI using open knowledge — it’s AI companies killing the projects that make knowledge free
AI’s Memorization Crisis
Large language models don’t “learn”—they copy. And that could change everything for the tech industry.
AI has limits, even if many AI people can't see them
On Ben Recht's fantastic new book
Agentic AI and the next intelligence explosion
For decades, the artificial intelligence (AI) “singularity” has been heralded as a single, titanic mind bootstrapping itself to godlike intelligence, consolidating all cognition into a cold silicon point. But this vision is almost certainly wrong in its most fundamental assumption. If AI development follows the path of previous major evolutionary transitions or “intelligence explosions,” our current step-change in computational intelligence will be plural, social, and deeply entangled with its forebears (us!).
Knowledge Collapse
AI companies are racing to mechanize mathematics. Where does that leave human understanding?
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.
AI Slop and the End of Knowledge
As an early fan of the internet, I was amazed that all the knowledge of the world was becoming available to everyone, everywhere, all the time. But things have changed.
