Eliciting Latent Knowledge (ELK) - Distillation/Summary
📖 Description
This post was inspired by the [AI safety distillation contest](https://forum.effectivealtruism.org/posts/ei4pYFJKcbGAdGnNb/calling-for-student-submissions-ai-safety-distillation). It turned out to be more of a summary than a distillation for two reasons. Firstly, I think that the main idea behind ELK is simple and can be explained in less than 2 minutes (see next section). Therefore, the main value comes from understanding the specific approaches and how they interact with each other. Secondly, I think some people shy away from reading a 50-page report but I expect they could get most of the understanding from reading/skimming this summary (I'm aware that the summary is longer than anticipated but it's still a >5x reduction of the original content).
📊 Game Impacts
| Variable | Change | Condition |
|---|---|---|
| Research | +10 | Always |
| Vibey Doom | +5 | Always |
| Ethics Risk | -5 | Always |
💭 Reactions
"This is a significant contribution to alignment research"
"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)