Training goals for large language models
📖 Description
*This post was written under Evan Hubinger's mentorship, as part of the*[*Stanford Existential Risks Initiative ML Alignment Theory Scholars (SERI MATS) program*](https://www.lesswrong.com/posts/8vLvpxzpc6ntfBWNo/seri-ml-alignment-theory-scholars-program-2022)*. Many of the ideas in this post, including the main idea behind the training goal, are due to Kyle McDonell and Laria Reynolds. In addition, I am grateful for comments and feedback from Arun Jose (who wrote a related post on*[*conditioning generative models for alignment*](https://www.alignmentforum.org/posts/JqnkeqaPseTgxLgEL/conditioning-generative-models-for-alignment)*) and Caspar Oesterheld, and for a helpful discussion with James Lucassen.*
📊 Game Impacts
| Variable | Change | Condition |
|---|---|---|
| Research | +10 | Always |
| Vibey Doom | +5 | Always |
| Ethics Risk | -5 | Always |
💭 Reactions
"Critical insights for the field"
"Discussed in AI safety community"
🔗 Sources
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