📜

The More Power At Stake, The Stronger Instrumental Convergence Gets For Optimal Policies

📅 2021
policy development
⚪ Common
#ai #instrumental convergence

📖 Description

**Edit, 5/16/23: I think this post is beautiful, correct in its narrow technical claims, and practically irrelevant to alignment. This post presents a cripplingly unrealistic picture of the role of reward functions in reinforcement learning. Reward functions are not "goals", real-world policies are not "optimal", and the mechanistic function of reward is (usually) to provide policy gradients to update the policy network.**

📊 Game Impacts

Variable Change Condition
Research +10 Always
Vibey Doom +2 Always
Ethics Risk -5 Always

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Interesting perspective on safety challenges"
📰 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 ⚪ Common → Suggest different rarity
🏷️ Tags (2) ai, instrumental convergence → Suggest tag changes
📊 Game Impacts (3) 3 variable changes → Suggest impact changes
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