Rotating the Space: On LLMs as a Medium for Thought
An essay on LLMs as a cognitive medium
The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Recent generations of frontier language models have introduced Large Reasoning Models (LRMs) that generate detailed thinking processes…
More Than a Tool
What We Learned from a Year of Conversations About AI
There are no lossless transformations of natural-language text
In my work at Clay I recently wrote an internal policy on acceptable use of AI writing by engineers, and I’m sharing it here. It’s my hope that one day better AI tools might be able to help us think, but until then I fear that using AI to write does the exact opposite.
Philosophy Experiments — Interactive Thought Experiments
Explore 27 interactive philosophy experiments that challenge your moral intuitions, test your logical reasoning, and probe the boundaries of belief.
PoliSim@CHI 2026
Large Language Models are rapidly evolving from text generators into reasoning systems that can act as autonomous agents. When placed in social contexts, these agents display emergent behaviors such as forming coalitions, spreading information, and making collective decisions.
People Who Can't Visualize Anything Are Challenging a 300-Year-Old Theory of Thought
Mental imagery might not be as central to complex human thought as we believed, philosophers say.
Combinatorial Creativity
Combinatorial creativity recombines existing ideas to spark novel, valuable innovations in cognition, AI, and design.
Generative AI for Pro-Democracy Platforms · From Novel Chemicals to Opera
Online discourse faces challenges in facilitating substantive and productive political conversations. Recent technologies have explored the potential of generative AI to promote civil discourse, encourage the development of mutual understanding in a discussion, produce . . .
Education's Broken. Schools Out. | Systematic-X × Shared Mind
A unified movement for systemic change — integrating diplomatic architecture, open frameworks, and sovereign data models. Systematic-X × Shared Mind.
why "things to do instead of doomscrolling" never works
Do not give up your brain
It's tempting to just let tools think for you, but you still need to be able to think for yourself and stay sharp.
Prism: An Impure Functional Language With Typed Effects - Stephen Diehl
Personal blog of Stephen Diehl - Software engineer writing about technology, programming, and the future
Meandering on Manifolds: The Neural Geometry of Stories Over Time
To fully understand LLM representations, we must understand how they change dynamically, over the course of a prompt or conversation. We investigate these temporal dynamics with a simple case study: how do LLMs represent human emotions while reading short stories, both geometrically (in activation space) and temporally (changing from sentence to sentence)?
Reducing the cognitive load of AI changes
When reviewing large amounts of AI-generated code, I often find that the LLM chooses terms for abstractions that do not always map to my own choices. For instance, what it may call a MutationIntent might personally be more natural to me as an EditRequest. Because the LLM's choice of words is not my ideal choice, I have to do a mental lookup of what it means every time I see it, which adds cognitive load.