📜

AXRP Episode 4 - Risks from Learned Optimization with Evan Hubinger

📅 2021
policy development
🔵 Rare
#ai #audio #axrp #community #inner alignment #interviews #mesa-optimization

📖 Description

[Google Podcasts link](https://podcasts.google.com/feed/aHR0cHM6Ly9heHJwb2RjYXN0LmxpYnN5bi5jb20vcnNz/episode/NmY0Y2NjODMtNjc2NS00OWZmLWFmNWUtNWIzOWQxMjZmN2Vm)

📊 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"
💡 Found a Real Quote? Suggest it here

🔗 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 (7) ai, audio, axrp, community, inner alignment, interviews, 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

🤝 Found an Issue?

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