OpenAI Says It Hit the Automated Research Intern Goal—and Pachocki Expects Recursive Self-Improvement
On September 6, 2026, OpenAI published internal data that it met a September 2026 “automated research intern” goal (3.1 agent-days per human-day; median researcher >$600/day of inference) and a Jakub Pachocki essay expecting recursive self-improvement, with a next target of a full automated AI researcher by March 2028.
TLDR
OpenAI on Sunday, September 6, 2026 published two linked posts. “Research acceleration: The view inside OpenAI”: the lab says it hit a fall-announced September 2026 “automated research intern” goal—a system that does well-defined multi-day research under human direction. Next target: a full automated AI researcher by March 2028. Mid-August: research org uses 3.1 agent-workdays per human workday; median researcher >$600/day inference (API prices); 90th percentile >$7,000/day. Before June, agent runtime was still below human labor. >50% of successful 4–8 hour tasks still needed ≥1 human intervention. After Hugging Face, OpenAI paused RL on latest deployment-bound models. “An Alien Mind” (chief scientist Jakub Pachocki): “I have a strong expectation that this speed of progress could be sustained into recursive self-improvement.” “I am concerned no one is prepared.” AI is “grown more than designed.” CoT monitoring is “progressively diminishing.” Astra “significantly better aligned than GPT‑5.6 Sol,” but alignment may not outrun capability. OpenAI will “unilaterally withhold further scaling as needed” but “broader interventions are required.”
Product-line de-dupe: not Astra product (Sep 3), not Navier–Stokes (Sep 8). Internal RSI / process lane.
Why this story matters
OpenAI just put numbers on the intern: 3.1× agent-days and $600/day of inference. Pachocki’s RSI sentence is the policy half. Watch: whether March 2028 “full researcher” is a product or a slide, and whether withhold scaling ever fires.