Research Notes
Working notes on scientific practice, agents, research systems, world models, data, and embodied AI.
All views expressed here are my own.
Research Practice / Scientific Integrity
Beyond Acceptance: A Discipline for Durable AI Research
A research operating system for pursuing top-conference ambition through proportional rigor, portfolio design, epistemic ownership, and auditable human–agent research.
Read noteAgents / Software Engineering
Engineering with Coding Agents: Judgment, Skill, and Responsibility
Coding agents shift the bottleneck from code generation toward judgment, verification, responsibility, and the durable engineering skill that remains with the human.
Read noteAgents / Research Systems
Thoughts on AutoResearch
Research automation should tighten the loop between hypotheses and evidence without hiding the scientific judgment that makes results meaningful.
Read noteFoundation Models / World Models
Thoughts on World Models
A functional view of world models—and why LLMs may already be partial, implicit models of the worlds represented through language.
Read noteEmbodied AI / Foundation Models
Thoughts on Embodiment Foundation Models
How general models might connect multimodal understanding, action, embodiment, and reliable adaptation in the physical world.
Read noteEmbodied AI / Data
Ego Data: Today's Feasible Path, Not the Final Substrate
Why ego data is worth pursuing now, why recent scaling results matter, and why task-centric physical transition data may develop in parallel.
Read note