📜

Gradations of Inner Alignment Obstacles

📅 2021
policy development
🔵 Rare
#ai #inner alignment #lottery ticket hypothesis #mesa-optimization

📖 Description

The existing definitions of deception, inner optimizer, and some other terms tend to strike me as "stronger than necessary" depending on the context. If weaker definitions are similarly problematic, this means we need stronger methods to prevent them! I illustrate this and make some related (probably contentious) claims.

📊 Game Impacts

Variable Change Condition
Research +5 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

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📁 Category Policy Development → Suggest different category
⭐ Rarity 🔵 Rare → Suggest different rarity
🏷️ Tags (4) ai, inner alignment, lottery ticket hypothesis, mesa-optimization → 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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