Severyn

I'm Severyn, an AI specialist based in Canada. I build AI systems, research tooling, and evaluation infrastructure. I work on AI at a quantum-computing company, I'm building an AI-operations startup, and I run a small independent lab that stress-tests whether AI agents can be trusted to remember the right thing. I publish what I find, including when my own system loses.

Writing

• Memory Made the Model Worse

  Accuracy 38.0% to 25.7%, sycophancy 32.3% to 52.0%, on 300 paired examples for $9.11

  2026-07-13 · LAB NOTES

• My Lab Graded Itself 1.0. The Audit Cut It to 0.75.

  A deterministic grader resolved an ambiguity in its own favour. Three models with no stake caught it.

  2026-07-13 · LAB NOTES

• The Four Types of Agent Memory, and Three Things the Diagram Leaves Out

  The taxonomy is correct. Everything that broke my week was underneath it.

  2026-07-10 · AI SYSTEMS

• What Actually Happens When You Call an LLM API

  The model is stateless. Your app is doing the remembering.

  2026-07-10 · AI SYSTEMS

• MiniMax's Sparse Attention Is a Retrieval System Hiding in the Model

  Score 128-token blocks, keep 16, attend exactly to those. That is RAG, learned end to end.

  2026-07-10 · AI RESEARCH

• A Framework Lost to a Plain Baseline

  Token-F1 0.2109 baseline against 0.1323 for Letta. A diagnosis, not a verdict.

  2026-05-06 · LAB NOTES

• A Correct Date Scored Zero

  "May 7, 2023" against a gold answer of "7 May 2023". The scorer was wrong, not the model.

  2026-05-05 · LAB NOTES

• A Reward Bonus Cut Quantum Circuit Training 2.5x, Then Hit a Predictable Wall

  49 of 50 seeds solved a GHZ circuit at 15K steps instead of 50K. On a W-state target, the same trick did nothing, and it should not have.

  2026-04-23 · QUANTUM RESEARCH

• Multi-Agent Specialization Took Recall From 13% to 80%. Then Precision Fell Apart.

  One architecture change fixed the hard problem. A second problem was hiding behind it, and it did not go away on its own.

  2026-04-19 · AI SYSTEMS