📜

Reward is not the optimization target

📅 2022
policy development
🔵 Rare
#ai #deconfusion #inner alignment #outer alignment #reinforcement learning #reward functions #shard theory #wireheading

📖 Description

*This insight was made possible by many conversations with Quintin Pope, where he challenged my implicit assumptions about alignment. I'm not sure who came up with this particular idea.*

📊 Game Impacts

Variable Change Condition
Research +10 Always
Vibey Doom +5 Always
Ethics Risk -5 Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Critical insights for the field"
📰 Media Reaction: ⚠️ Placeholder - Needs Real Quote
"Discussed in AI safety community"
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🔗 Sources

🏷️ Event Metadata

Think this event's metadata could be improved? Suggest changes to category, rarity, tags, game impacts, or p(doom) effects.

📁 Category Policy Development → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (8) ai, deconfusion, inner alignment, outer alignment, reinforcement learning, reward functions, shard theory, wireheading → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
☢️ p(Doom) Impact No direct impact → Suggest p(doom) change
📝 General Metadata Year, description, reactions → Comprehensive review

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