Redwood Research proposes accelerating AI conceptual reasoning to aid alignment work
Overview
Redwood Research argues that AI systems should be pushed to improve conceptual reasoning, the skill needed for alignment work, decision theory and ethics.
The group says these tasks depend on reasoning that is hard to verify, and that AI R&D relies on this skill far less, so gains would mainly help safety research rather than general capabilities.
In its Redwood Research Blog post, the authors report that basic elicitation experiments raised model performance on their conceptual reasoning benchmark by three to twelve months. They say they are seeking collaborators to extend this work.
Written by AI from the articles below · updated Oct 27, 12:27 AM ET
Check the sources:
Article timeline
The articles in this story. Times are ET.
- Redwood Research BlogBlogRedwood Research argues AI conceptual reasoning should be accelerated for safety work
AIRedwood Research argues that alignment and other conceptual work, such as decision theory and ethics, needs strong AI conceptual reasoning that is hard to verify. It says AI R&D relies less on this skill, so improving it would mainly help safety work rather than generic capabilities. The authors say their basic elicitation experiments made models three to twelve months better on their conceptual reasoning benchmark, and they are seeking collaborators.
Heat Trend
- Current comparable heat
- 4
- Peak comparable heat
- 10Oct 27, 1:00 AM ET
- Change in past 24 hours
- -49%
The trend compares only continuously observed participants, so its scope may be smaller than the current heat total. Hover or tap for hourly heat; use arrow keys with a keyboard.