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Alignment Newsletter #114: Theory-inspired safety solutions for powerful Bayesian RL agents

Alignment Newsletter Podcast
26/08/2020 15 min Temporada 1 Episodio 114
Alignment Newsletter #114: Theory-inspired safety solutions for powerful Bayesian RL agents

Listen "Alignment Newsletter #114: Theory-inspired safety solutions for powerful Bayesian RL agents"

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Episode Synopsis

Recorded by Robert Miles More information about the newsletter here

More episodes of the podcast Alignment Newsletter Podcast

Alignment Newsletter #173: Recent language model results from DeepMind 21/07/2022
Alignment Newsletter #172: Sorry for the long hiatus! 05/07/2022
Alignment Newsletter #171: Disagreements between alignment "optimists" and "pessimists" 23/01/2022
Alignment Newsletter #170: Analyzing the argument for risk from power-seeking AI 08/12/2021
Alignment Newsletter #169: Collaborating with humans without human data 24/11/2021
Alignment Newsletter #168: Four technical topics for which Open Phil is soliciting grant proposals 28/10/2021
Alignment Newsletter #167: Concrete ML safety problems and their relevance to x-risk 20/10/2021
Alignment Newsletter #166: Is it crazy to claim we're in the most important century? 08/10/2021
Alignment Newsletter #165: When large models are more likely to lie 22/09/2021
Alignment Newsletter #164: How well can language models write code? 15/09/2021
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