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What are some bottlenecks in AI safety?

I'm looking for ways to utilize my combined aptitude for community building, research, operations, and entrepreneurship to contribute with AI safety. 

  • Mentorship time of senior researchers
  • Exercises, a textbook, seminars, etc. to upskill junior researchers without using so much of senior researchers' time
  • A shared ontology for researchers, so they can communicate more easily
  • Percentage of ML community that takes safety seriously (one attempt)
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