Spotting Problems for Auto Research
How to recognize the parts of research that become combinatorial search—and where parallel research agents can make real progress.
Writing
Research notes on how models generalize, how learning systems improve themselves, and which parts of discovery we might automate.
Index03 published notes
Stuck Agents: Optimization Plateaus and the Case for Context Resets
An empirical study of long-horizon coding agents, optimization plateaus, and context-reset interventions.
Length and Composition Generalization: Sample Complexity
A research note exploring the sample complexity of length and composition generalization in machine learning models.