Scott Alexander examines how AI achievements, once considered markers of true intelligence or danger, are often dismissed as unimpressive, potentially leading to concerning AI behaviors being normalized. Longer summary

Scott Alexander discusses recent developments in AI, focusing on two AI systems: Sakana, an 'AI scientist' that can write computer science papers, and Strawberry, an AI that demonstrated hacking abilities. He uses these examples to explore the broader theme of how our perception of AI intelligence and danger has evolved. The post argues that as AI achieves various milestones once thought to indicate true intelligence or danger, humans tend to dismiss these achievements as unimpressive or non-threatening. This pattern leads to a situation where potentially concerning AI behaviors might be normalized and not taken seriously as indicators of real risk. Shorter summary

Scott Alexander presents a diverse collection of 41 links and news items, covering topics from science and politics to history and technology, with brief commentaries and insights. Longer summary

This post is a collection of 41 diverse links and news items covering a wide range of topics. The items include scientific studies, political developments, historical anecdotes, technological advancements, and cultural phenomena. Scott Alexander presents these with brief commentaries, often adding his own insights or expressing skepticism about certain claims. The tone is informative and occasionally humorous, with Scott pointing out interesting connections or implications of the information presented. Shorter summary

Scott Alexander argues that intelligence is a useful, non-Platonic concept, and that this understanding supports the coherence of AI risk concerns. Longer summary

Scott Alexander argues against the claim that AI doomers are 'Platonists' who believe in an objective concept of intelligence. He explains that intelligence, like other concepts, is a bundle of useful correlations that exist in a normal, fuzzy way. Scott demonstrates how intelligence is a useful concept by showing correlations between different cognitive abilities in humans and animals. He then argues that thinking about AI in terms of intelligence has been fruitful, citing the success of approaches that focus on increasing compute and training data. Finally, he explains how this understanding of intelligence is sufficient for the concept of an 'intelligence explosion' to be coherent. Shorter summary

Scott Alexander provides updates on the ACX Grants project, summarizing the progress of grantees and their ongoing needs. Longer summary

This post provides updates on the ACX Grants project, where Scott Alexander awarded grants to various individuals and organizations for innovative projects. The post summarizes the progress of each grantee, their self-assessed performance on a scale of 1-10, and any additional help or funding they are seeking. The projects range from scientific research and technology development to policy advocacy and social initiatives. Scott also reflects on lessons learned from the grant program and announces the creation of an ACX Grantees Discord for grantees to connect with each other. Shorter summary

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

Scott Alexander reviews competing methodologies for predicting AI timelines, focusing on Ajeya Cotra's biological anchors approach and Eliezer Yudkowsky's critique. Longer summary

Scott Alexander reviews Ajeya Cotra's report on AI timelines for Open Philanthropy, which uses biological anchors to estimate when transformative AI might arrive, and Eliezer Yudkowsky's critique of this methodology. The post explains Cotra's approach, Yudkowsky's objections, and various responses, ultimately concluding that while the report may not significantly change existing beliefs, the debate highlights important considerations in AI forecasting. Shorter summary

The post argues that automation and AI are unlikely to cause a sustained economic crisis, as new jobs will be created to replace those automated, though the benefits may primarily go to capital owners. Longer summary

This post discusses the potential economic impact of automation and AI, addressing concerns about job displacement and economic crisis. The authors argue that while automation will continue to change the job market, it is unlikely to lead to a sustained economic crisis in the foreseeable future. They examine historical trends in employment, current technological capabilities, and economic theories to support their argument. The post concludes that new jobs will continue to be created as old ones are automated, maintaining overall employment levels, though the benefits of automation may flow primarily to capital owners. Shorter summary

Scott Alexander provides evidence that many prominent AI researchers are concerned about AI risk, contrary to claims in some popular articles. Longer summary

Scott Alexander responds to articles claiming that AI researchers are not concerned about AI risk by providing a list of prominent AI researchers who have expressed concerns about the potential risks of advanced AI. He argues that there isn't a clear divide between 'skeptics' and 'believers', but rather a general consensus that some preliminary work on AI safety is needed. The post highlights that the main differences lie in the timeline for AI development and when preparations should begin, not whether the risks are real. Shorter summary

Scott Alexander shares insights and critiques from a psychiatry conference, covering topics from medication prescribing rights to new monitoring technologies and research methodologies. Longer summary

Scott Alexander humorously recounts his experience at a psychiatry conference, highlighting various issues in the field. He discusses the debate over psychologists prescribing medication, new technologies for monitoring schizophrenic patients, problems with certain study designs, the effectiveness of long-acting injectable antipsychotics, and the superiority of clozapine. He also touches on political lobbying in psychiatry and the influence of drug companies. The post is written with a mix of seriousness and sardonic humor, critiquing various aspects of psychiatric practice and research. Shorter summary