Scott Alexander explains and analyzes the debate between MIRI and CHAI on AI alignment strategies, focusing on the challenges and potential flaws in CHAI's 'assistance games' approach. Longer summary

This post discusses the debate between MIRI and CHAI regarding AI alignment strategies, focusing on CHAI's 'assistance games' approach and MIRI's critique of it. The author explains the concepts of sovereign and corrigible AI, inverse reinforcement learning, and the challenges in implementing these ideas in modern AI systems. The post concludes with a brief exchange between Eliezer Yudkowsky (MIRI) and Stuart Russell (CHAI), highlighting their differing perspectives on the feasibility and potential pitfalls of the assistance games approach. Shorter summary

Stuart Russell's 'Human Compatible' presents AI safety concerns and potential solutions in an accessible way, though the reviewer has reservations about its treatment of current AI issues. Longer summary

Stuart Russell's book 'Human Compatible' discusses the potential risks of superintelligent AI and proposes solutions. The book is significant as it's written by a distinguished AI expert, making the topic more mainstream. Russell argues against common objections to AI risk, presents his research on Cooperative Inverse Reinforcement Learning as a potential solution, and discusses current AI misuses. The reviewer praises Russell's ability to make complex ideas accessible but expresses concern about the book's treatment of current AI issues, worried it might undermine credibility for future AI risk discussions. Shorter summary

Scott Alexander criticizes Ted Chiang's article that compares AI risk to capitalism, arguing that the analogy is flawed and the reasoning behind it is unsound. Longer summary

Scott Alexander critiques Ted Chiang's article comparing AI risk to capitalism, arguing that the comparison is flawed and the reasoning unsound. He points out that AI risk concerns originated from academics, not just Silicon Valley, and that drawing analogies between scientific concepts and social phenomena doesn't disprove the original concept. Scott also criticizes Chiang's use of psychological projection to explain AI fears, noting the dangers of amateur psychoanalysis. He concludes by emphasizing that this approach to risk assessment is inappropriate for potentially catastrophic issues. Shorter summary

Scott Alexander argues against harshly criticizing various groups often mocked by both left and right, emphasizing nuanced thinking and engagement with evidence. Longer summary

Scott Alexander argues against dismissing or mocking several groups often criticized by both left and right-wing commentators. He defends celebrities speaking out against Trump, people comparing politics to Harry Potter, Hamilton fans, Vox, Matt Yglesias, pundits who failed to predict Trump's victory, and those concerned about Russian election interference. The post uses a mix of logical arguments, personal anecdotes, and humor to make the case that these groups don't deserve harsh criticism, while also acknowledging some of their flaws. Scott emphasizes the importance of nuanced thinking, avoiding sweeping conclusions from limited data, and engaging with evidence rather than dismissing concerns outright. Shorter summary

The post explores how Bayesian processes in the brain might explain perception and various mental disorders, linking neurotransmitters to different aspects of Bayesian reasoning. Longer summary

This post explores the application of Bayes' Theorem to neuroscience and psychiatry. It discusses how the brain might use Bayesian processes for perception and cognition, and how disruptions in these processes could explain various mental disorders. The author first explains Bayes' Theorem and its relevance to perception, then delves into a neuroscientific model that links neurotransmitters to different aspects of Bayesian processing. The post then applies this model to explain phenomena in schizophrenia, psychedelic experiences, and autism. The author concludes by pointing out some limitations and inconsistencies in the model, while still appreciating its potential as a high-level framework for understanding brain function and mental disorders. Shorter summary

A Links post presenting various interesting news and studies from different fields, with brief commentary on each item. Longer summary

This is a Links post that presents a collection of interesting news, studies, and articles from various fields. The post covers topics ranging from scientific research and academic policy to economics and social issues. It includes studies on ADHD diagnosis, income inequality, neighborhood effects, and discussion of various cultural and political events. The tone is casual and informative, with Scott providing brief commentary and connecting different ideas throughout. Shorter summary