Izza Masud
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Interesting AI Research
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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