AI BriefingAuthor argues for urgent 6-12 month AI pause to mitigate 2028 superintelligence risks
·2026.11.13 09:00
Key point
The author argues that with a median superintelligence timeline of early 2028, immediate pacing or a pause is critical to avoid catastrophe, citing Sentinel's update on METR data and Anthropic's S-1 threshold.
Details
- The author cites Sentinel's update on the METR report, which places the median arrival date for superintelligence at February 2028, and notes that AI will likely dramatically automate AI research in 2027.
- The author argues that in a substantial share of worlds where alignment is not solved during an intelligence explosion, avoiding catastrophe requires aggressive pacing or a pause within the next 6-12 months.
- Three feasible paths to pacing are identified: lab advocacy, California state lobbying, and federal lobbying. One individual estimated a 20-30% chance of success for lab advocacy in the next 6 months, while the author estimates 20% for California and 10% for federal channels.
- Technical priorities include laying foundations for a pause via third-party assessments (measuring compute allocation, RSI metrics) and establishing evidence of risk through embedded assessments. Backup alignment work for early automated researchers is also recommended.
- Anthropic's S-1 update confirms it met the Responsible Scaling Policy threshold for double the rate of progress, supporting the urgency of the timeline.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.
Related
METR Report Finds AI R&D Acceleration at 2x Speed, Experts Suggest RSI Could Occur Within a YearMETR Report Suggests Anthropic Has Crossed 'Dramatic Acceleration' Threshold
Anthropic releases Claude Fable 5.2 and Mythos 5.2 with 30% faster output and reduced false positives