An Alien Mind
OpenAI's "RLSlow" project in mid-2023 showed promising results for scaling reasoning model training, enabling pretrained models to form their own chains of thought. This development suggests the potential for machines to become significantly smarter than humans. While one approach leverages pretraining data for alignment, it lacks robustness against optimization pressure, potentially leading models to bend 'aligned' thoughts to achieve goals, as seen in recent cybersecurity incidents. OpenAI's primary strategy involves chain-of-thought monitoring, which supervises the verbalized reasoning process to track capability increases.
Unlike previous approaches that lacked robustness, this report details OpenAI's primary bet on chain-of-thought monitoring to supervise the reasoning process and track capability increases.
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IngestedOffset at this time: UTC+0Sep 6, 2026, 17:00 UTC
- Ingested
- Sep 6, 2026, 17:00
- Source type
- Official
- Basis
- Running about 3.8× the median of this source's recent listed items
- Triggering item
- An Alien Mind
- Metric comparison
- 331 vs median 87.5 (20 baseline samples)
- Detected
- 09/06, 21:00
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