Interesting AI Research

Working notes and essays — first-principles, in my own words.
The thinking before the papers.

What Happens When AI Sleeps

Hebbian Memory, Offline Consolidation, and Why Forgetting Is a Feature
Research: September 2025

It Started With a Conversation About Latent Reasoning

Why making a model think harder doesn't make it think better — and what to build instead.
Research: November 2025

The Next Maintainer Is Not a Person

The Yellow Dot in Black: Designing Attention Environments for AI-Native Software
Research: November 2025

The Healed Femur

Why Intelligence Cannot Survive Without Warmth
Research: May 2026

Your Agent's Skills Are Someone Else's Too

Why the future of proprietary agents is not skills, but instincts — and why a portable skill can't be a moat.
Research: June 2026

The Expanding Foam Theory of AI Safety

Why the next frontier in AI safety may not be the weights, but the rare reachable space between ordinary activations — and why the move is to occupy it, not just search it.
Research: June 2026

Stop Training, Start Listening

Why the cure for a whole class of AI hallucination was cheap — and what that says about intelligence.
Research: June 2026

The Bell and the Meal

How a mind mistakes the reward for the goal — the anatomy of reward-hacking, the math of its first sign, and the one thing that stops it.
Research: July 2026

Rosehip Neurons in Silicon

When Safety Becomes Identity — and Why 'I Wouldn't' Beats 'I Can't'
Research: January 2026

It Started With a Conversation About Latent Reasoning

Why making a model think harder doesn't make it think better — and what to build instead.
June 2026 · ~8 min read

The Distilligent Thesis

Frontier models do not need procedural delineation. They need a clear channel.
July 2026 · ~5 min read

Retrieval Is Not Memory

Why stapling a search engine to a language model was never going to make it remember you.
July 2026 · ~9 min read