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OpenAI reports AI "research interns" and warns about its own pace at the same time

The Decoderby Maximilian Schreiner ()4 min read4 · 2 reads
AI summary · glm-5.3-flashSummaries by Vani AI

OpenAI claims its automated research intern milestone is met, with agents now doing 3.1 workdays per human day, while Pachocki warns monitoring is weakening.

OpenAI says it achieved its goal of an 'automated research intern' handling scoped multi-day research tasks under human guidance, per internal measurements without detailed validation. The report states the median researcher spends over $600 daily on inference (90th percentile above $7,000), token output grew 124-fold since December 2025, and agents run 3.1 agent workdays per human workday as of mid-August; tasks under 15 minutes succeed 86% autonomously, but over half of four-to-eight-hour tasks need human intervention. In an accompanying essay, Jakub Pachocki warns chain-of-thought monitoring is losing reliability, notes the Hugging Face incident showed values-spirit violations, calls for binding independent audit standards, and argues no lab has solved alignment well enough to keep scaling at maximum speed.

Key facts
  • Automated research intern milestone claimed, targeting full automated researcher by March 2028
  • Median researcher uses $600+/day inference; 3.1 agent workdays per human workday
  • CoT monitoring degrading; GPT-6 Astra more aligned than GPT-5.6 Sol per Pachocki
  • Pachocki urges binding standards, independent audits, and international coordination
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From the original article

4 min read at the-decoder.com

OpenAI reports that AI agents in its own research already handle 3. 1 workdays for every human workday, and it says it has reached its goal of an "automated research intern." But chief scientist Pachocki warns that no lab has a good enough grip on alignment and monitoring to keep scaling at maximum speed.

The Decoder

By Maximilian Schreiner · the-decoder.com

Read the full article at The Decoder

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.