Research acceleration: The view inside OpenAI
OpenAI’s Jakub Pachocki lays out how coding agents are being used to speed up experimentation, with early signals on what kinds of tasks get tackled, how research velocity changes, and where complexity starts to strain existing workflows. The piece frames agents not as a one-off novelty but as a measurable pipeline that can reshuffle how quickly teams iterate, diagnose failures, and escalate to harder experiments.
An Alien Mind
Pachocki argues that as AI systems become more capable, they may develop internal strategies and goals that are increasingly “alien” to human intuition, increasing both unpredictability and alignment risk. He calls for stronger safeguards, clearer evaluation under distribution shift, and international coordination so safety expectations keep pace with rapid capability gains.