📢

Comments on OpenPhil's Interpretability RFP

📅 2021
public awareness
⚪ Common
#ai #interpretability (ml & ai)

📖 Description

I'm very excited about research that tries to deeply understand how neural networks are thinking, and especially to understand tiny parts of neural networks without too much concern for scalability, as described in [OpenPhil's recent RFP](https://www.alignmentforum.org/posts/CzZ6Fch4JSpwCpu6C/interpretability) or the [Circuits thread on Distill](https://distill.pub/2020/circuits/).

📊 Game Impacts

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

💭 Reactions

🔬 Safety Researcher Reaction: ⚠️ Placeholder - Needs Real Quote
"Adds to our knowledge base"
📰 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 Public Awareness → Suggest different category
⭐ Rarity ⚪ Common → Suggest different rarity
🏷️ Tags (2) ai, interpretability (ml & ai) → 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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