The Information Machine
Following·since 6 Sep 2026·New·2 sources

OpenAI reaches automated research intern goal, targets AI researcher by 2028

The gist

OpenAI's published metrics show agent runtime in its research organization running at more than three times the human workday rate. The company is calling for mandatory public reporting on recursive self-improvement across frontier labs, on the grounds that such progress would otherwise be visible only inside a few companies.

The full picture

OpenAI announced it has reached its 'automated research intern' milestone, a human-supervised AI system capable of completing well-defined research tasks that would take a skilled human researcher several days. The goal was announced last fall with a September target. OpenAI is targeting a fully automated AI researcher by March 2028. As of mid-August, the research organization runs 3.1 agent-workdays for every human workday, a measure of runtime rather than equivalent productivity. Engineers are changing approximately 7x more code per contributor than pre-2025 baselines. The share of researchers running 4 or more concurrent agent workflows grew from roughly one-third in April to roughly three-quarters by mid-August. The median researcher uses more than $600 per day of inference at API prices; the 90th percentile uses more than $7,000 per day. OpenAI published the internal metrics and stated that companies should be legally required to report recursive self-improvement progress publicly.

How it developed
6 September 2026

OpenAI announces it has reached its automated research intern milestone and sets March 2028 target for a fully automated AI researcher

Sources
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