Essays
Pieces I stand behind.
- Shape of thought
The scarce thing in discovery is not a stronger generator or a sharper judge, but the structure that brings the right move within reach. The shape of the library in the head.
- None of them chose the game
Machines climb the measures we hand them. None has set its own, and maybe we have not either.
- The layer that remembers people
The living part of taste is per-person and sits outside the weights. The densest map of it already exists, and we threw it away by reading it as a score.
- Cognition went public
Reflexivity has moved one level deeper, and most participants have not noticed.
- The coupled recursion
The corpus does not just accumulate. It shapes the cognition that produces the next corpus.
- The May 2026 Joint Ventures Between AI Labs and Private Equity
Main essay: The Substrate Inversion
- The Substrate Inversion
What the labs are actually buying
- Why code compiles and law doesn't
The next AI transition is gated on who builds the verifier, not who trains the biggest model.
- Building AI Product
I Spent Two Days Speccing a Product I’ve Never Used. Here’s What I Should Have Done Instead.
- The Architecture of Discovery
What AlphaGo revealed about thinking
- Compiled Away
A Map of What Gets Automated Next
- The Taste Compiler
How to build real-time taste inference for generative systems
- The Missing Taste Model
Create with AI needs a compass, not a generator
- (note to self) From Punch Cards to Python, From Python to Agents
How the agentic shift will redefine the best builder
- A Mesh Is Not a Door
Why world models will be won in game engines, then move into Physical AI
- Pixels → Protocols
A2A turns SaaS into an execution layer. Operability becomes distribution.
- Language-Conditioned Knowledge Inequality
Measuring quality-adjusted knowledge diffusion across language communities, and diagnosing language-dependent performance gaps in agentic knowledge work.
- What Enchantment Means When You Don’t Believe
A rationalist’s attempt to name awe without overreach.
- The Inference Lead in the LLM Era
What data science becomes after LLMs
- The New Information Supply Chain
When the cost of knowledge goes to 0, humans become the bottleneck and value moves downstream.
- By Logic We Prove; By Intuition We Discover
Why today’s LLMs are great proof engines, and why the next 2-3 years belong to “silent” discovery architectures
- The Evolution of Artificial Cognition
Five Layers of Abstraction