📢

Call For Distillers

📅 2022
public awareness
⚪ Common
#ai #distillation & pedagogy

📖 Description

Many technical alignment researchers are bad-to-mediocre at writing up their ideas and results in a form intelligible to other people. And even for those who are reasonably good at it, writing up a good intuitive explanation still takes a lot of work, and that work lengthens the turn-time on publishing new results. For instance, a couple months ago I wrote [a post](https://www.lesswrong.com/posts/vvEebH5jEvxnJEvBC/abstractions-as-redundant-information) which formalized the idea of abstractions as redundant information, and argued that it's equivalent to abstractions as information relevant at a distance. That post came out about two months after I had the rough math worked out, because it took a lot of work to explain it decently - and I don't even think the end result was all that good an explanation! And I *still* don't have a post which explains well why that result is interesting.

📊 Game Impacts

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

💭 Reactions

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

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