Local Fluency, Global Incoherence
"Coherence" is having a moment in AI governance. It shows up in framework names, tool names, pitch decks, LinkedIn bios. Everyone's system is coherent. Everyone's methodology is
Jen
The Information-Theoretic Imperative and Compression Efficiency: Why Brains and Deep Networks Converge
Copy of my paper from arXiv for quick reference
The Information-Theoretic Imperative and Compression Efficiency: Why Brains and Deep Networks Converge
Keywords: brain–AI convergence; excess codelength (regret); rate–distortion; information bottleneck;
The Log Isn't the Answer: What Three Agentic AI Disasters Reveal About the Accountability Gap
On the evening of February 26, 2026, Alexey Grigorev sat down to do something routine: migrate a small static website onto AWS infrastructure that was already running his other project, DataTalks.Club, an
Layout, Not Light: What the PANIC study actually found, and what it didn’t.
A Finnish study made headlines this month: eight years of tracking kids, and the ones with more screen time showed better cognitive processing as teenagers. Outlets ran with it as a reversal of
Naming is Not Explaining
Two documents crossed my desk this month, in completely different areas, both making the same mistake.
The first is mundane: the vocabulary security people use to talk about AI systems. "The model