Alignment proposals and complexity classes
📖 Description
In the original "[AI safety via debate](https://arxiv.org/pdf/1805.00899.pdf)" paper, Geoffrey Irving et al. introduced the concept of analyzing different alignment proposals from the perspective of what complexity class they are able to access under optimal play. I think this is a pretty neat way to analyze different alignment proposals--in particular, I think it can help us gain some real insights into how far into the superhuman different systems are able to go. Thus, the goal of this post is to try to catalog different alignment proposals based on the metric of what complexity class they have so far been proven to access.
📊 Game Impacts
| Variable | Change | Condition |
|---|---|---|
| Research | +5 | Always |
| Vibey Doom | +2 | Always |
| Ethics Risk | -5 | Always |
💭 Reactions
🔬 Safety Researcher Reaction:
⚠️ Placeholder - Needs Real Quote
"Useful research for the community"
"Useful research for the community"
📰 Media Reaction:
⚠️ Placeholder - Needs Real Quote
"Discussed in AI safety community"
💡 Found a Real Quote? Suggest it here
"Discussed in AI safety community"
🤝 Found an Issue?
This event data is sourced from the pdoom-data repository. If you notice errors or want to suggest improvements:
GitHub Issue (Preferred) 📧 Email (No GitHub)