Consumed content

  1. Richard Ngo – Reframing AGI Threat Models [Alignment Workshop]FAR.AI
  2. Why acausal dynamics are importantLike Minds
  3. A realistic path from rogue AI agents to human extinction80,000 Hours
  4. Chris Painter's testimony to the U.S. Senate on AI agent incidentsMETR
  5. Outliers: The Story of SuccessMalcolm Gladwell
  6. 11 'Hugging Face' details that reveal what's coming next80,000 Hours
  7. 80,000 Hours: How to have a fulfilling career that does goodBenjamin Todd
  8. The Next President May Control Superintelligence80,000 Hours
  9. You can get funded to launch an AI safety org80,000 Hours
  10. AI Realist vs 20 AI Optimists (ft. Andrew Yang) | SurroundedJubilee
  11. If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us AllEliezer Yudkowsky & Nate Soares
  12. Dylan Patel – Two labs will soon control most of the world's workforceDwarkesh Patel
  13. Ajeya Cotra — “This might be the clearest warning shot we ever get”Dwarkesh Patel
  14. AI researchers debate how close we are to recursive self-improvementDwarkesh Patel
  15. OpenAI researcher on agent swarms & recursive self-improvementDwarkesh Patel
  16. AI Emergency: The AI Labs Are Lying To Everyone, He Says 99% Chance Of Extinction | Roman YampolskiyThe Diary Of A CEO
  17. Joe Rogan Experience #2551 - Daniel KokotajloJoe Rogan
  18. The lowkey high-impact role that makes orgs tickDanny De La Torre
  19. BlueDot’s 6-month planDewi Erwan
  20. Can you teach context?Joshua Landes & Harry Waterman
  21. The Joe Rogan Intervention | Malcolm Gladwell's Revisionist History PodcastMalcolm Gladwell
  22. Investigating three incidents in our cybersecurity evaluationsAnthropic
  23. There are always more than two optionsDerek Sivers
  24. The Long (Self-)CorrectionWei Dai
  25. JFrog tries to spin OpenAI 0-day exploit of its app into a success storyDan Goodin
  26. What the hell happened with AGI timelines in 2026?80,000 Hours
  27. The OpenAI/Hugging Face attack, clearly explainedDwarkesh Patel
  28. Open Weights and American AI LeadershipIndustry coalition
  29. Our position on open-weights modelsDario Amodei
  30. Psychology Research Is Mostly FineScott Alexander
  31. Mental WealthJames Beshara
  32. Difficult Conversations: How to Discuss What Matters MostStone, Patton & Heen
  33. GPT-5.6 cheats so much its testers couldn'tCelia Ford
  34. Redeploying Claude Fable 5Anthropic
  35. Summary of METR's predeployment evaluation of GPT-5.6 SolMETR
  36. We asked 10+ AI safety orgs about their hiring needsLi-Lian Ang
  37. How Claude's values vary by model and languageAnthropic
  38. How to get into AI safety in 3 monthsMatt Beard
  39. Policy on the AI ExponentialDario Amodei
  40. How to increase your surface area for luckCate Hall
  41. People's deeply held beliefs are surprisingly surface-levelAndy Masley
  42. How I practice at what I doTyler Cowen
  43. Learn like an athlete, knowledge workers should trainTyler Cowen
  44. Your Goal Isn't Really to Get a JobMatt Beard
  45. Your Work Will Change You Whether You Like It Or NotMatt Beard
  46. You're not cynical enough about readers' attention spansMatt Beard
  47. The Old World Is DyingJasmine Sun
  48. I would really like it if you had a personal website and I think it would make the world betterLogan Graves
  49. Become a person who Actually Does ThingsNeel Nanda
  50. Top Performers are Pathologically AmbitiousMatt Beard
  51. Outsiders should focus on specs/constitutions (among other things)Cleo Nardo
  52. Why AI Makes Coding Education More Important, Not LessDigital Learning Lab
  53. The Strength of Being MisunderstoodSam Altman
  54. Thought Anchors: Which LLM Reasoning Steps Matter?Uzay Macar
  55. Conflict vs MistakeLessWrong
  56. Surrender as a non-stupid life strategySasha Chapin
  57. The Power of IntelligenceEliezer Yudkowsky
  58. Keep Your Identity SmallPaul Graham
  59. What cognitive biases feel like from the insidechaosmage
  60. Third-parties should focus on scrutinising system cardsCleo Nardo
  61. Let's have more partial insidersCleo Nardo
  62. I can't think of great interventions for ensuring third-party model accessCleo Nardo
  63. The third wave of American philanthropyNan Ransohoff
  64. How might outsiders make things go well?Cleo Nardo
  65. Trees are mostly made of air and a generalizable lesson for AI safetyZephaniah Roe
  66. AI 2027Kokotajlo et al.
  67. How to be more agenticCate Hall
  68. Just Send the Fucking EmailTrailheads
  69. d/acc: one year laterVitalik Buterin
  70. The Security MindsetBruce Schneier
  71. AI Is Reviving Fears Around Bioterrorism. What's the Real Risk?Kyle Hiebert
  72. AI Could Defeat All Of Us CombinedHolden Karnofsky
  73. Catastrophic AI ScenariosFuture of Life Institute
  74. GPT-Red: Unlocking Self-Improvement for RobustnessOpenAI
  75. Common Ground between AI 2027 & AI as Normal TechnologySayash Kapoor
  76. The Phrase “No Evidence” Is A Red Flag For Bad Science CommunicationScott Alexander
  77. See your Career as a ProductErik Torenberg
  78. Why do people disagree about when powerful AI will arrive?BlueDot
  79. The Power of the Power LawNir Zicherman
  80. Unresolved debates about the future of AIHelen Toner
  81. Dual Process Theory (System 1 & System 2)LessWrong
  82. Advice for newly busy peopleSese
  83. OpenAI and Hugging Face partner to address security incident during model evaluationOpenAI
  84. “Long” timelines to advanced AI have gotten crazy shortHelen Toner
  85. The AI Revolution: The Road to SuperintelligenceTim Urban
  86. Federal Reserve announces the leadership and objectives of its task forces to advance the conduct of monetary policyFederal Reserve
  87. The Most Important Time in History Is NowTomas Pueyo
  88. The current SOTA model was released without safety evalsParv Mahajan
  89. When AI Chooses Harm Over FailureCivAI
  90. AI models can be dangerous before public deploymentMETR
  91. Why AI alignment could be hard with modern deep learningAjeya Cotra
  92. Specification Gaming: How AI Can Turn Your Wishes Against YouRational Animations
  93. Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant SafeguardsO'Brien et al.
  94. The True Story of How GPT-2 Became Maximally LewdRational Animations
  95. What is input data filtration in AI safety?BlueDot
  96. Chain-of-Thought SnippetsBronson Schoen
  97. Neel Nanda on the race to read AI minds (part 1)80,000 Hours
  98. Introduction to Mechanistic InterpretabilityBlueDot
  99. What Do Neural Networks Really Learn? Exploring the Brain of an AI ModelRational Animations
  100. Introduction to AI ControlBlueDot
  101. What is AI alignment?Adam Jones
  102. Build Personal MoatsErik Torenberg
  103. Safety and alignment in an era of long-horizon modelsOpenAI
  104. A Framework for Frontier AI and the Dawning of a New AgeDemis Hassabis
  105. Scaling: The State of Play in AIEthan Mollick
  106. The Huggingface IncidentScott Alexander
  107. Bayes' ruleLessWrong
  108. Seeking Stability in the Competition for AI AdvantageIskander Rehman
  109. Reading Between the Dots: Decoding Hidden Computation across Filler TokensBrauer et al.
  110. Reps. Lieu and Moran Introduce Bill to Require Kill Switch for AI Systems That Can Cause Catastrophic HarmOffice of Rep. Ted Lieu
  111. Recent LLMs can use filler tokens or problem repeats to improve (no-CoT) math performanceRyan Greenblatt
  112. An analysis of AI-generated content at the Mechanistic Interpretability WorkshopAndy Arditi
  113. Silicon Valley's Safe SpaceCade Metz
  114. It's practically impossible to run a big AI company ethicallyVox Future Perfect
  115. You Will Listen to Carl on DwarkeshMatt Reardon
  116. Give Up Seventy Percent Of The Way Through The Hyperstitious Slur CascadeScott Alexander
  117. Intelligence is not the main bottleneckRuxandra Teslo
  118. In search of a dynamist vision for safe superhuman AIHelen Toner
  119. Utopia for Realists (Chapters 1–2)Rutger Bregman
  120. The Market for LemonsWikipedia
  121. Model access for third-parties — it's a big deal!Cleo Nardo
  122. OpenAI says its AI went rogue and launched 'unprecedented' cyber-attackBBC News
  123. Against Learning From Dramatic EventsScott Alexander
  124. Help us launch AI safety university groups by referring potential foundersJason Chin
  125. Preparing for LaunchInstitute for Progress
  126. The OpenAI/Huggingface incidentBuck Shlegeris
  127. Robin Hanson on AI and Large Language ModelsCloser To Truth
  128. He Risked Everything To Warn You: No One Is Ready For What's ComingThe Diary Of A CEO
  129. Tyler Cowen — The #1 bottleneck to AI progress is humansDwarkesh Patel
  130. This best-selling book is freaking out national security advisorsAI In Context
  131. Carl Shulman (Pt 1) — Intelligence explosion, primate evolution, robot doublings, & alignmentDwarkesh Patel
  132. What the hell happened with AGI timelines in 2025?80,000 Hours
  133. Aaron Scher — What Would it Take to Stop the Development of Superintelligence?FAR.AI
  134. What Happens When Capitalism Doesn't Need Workers Anymore?Economics Explained
  135. Constellation Seminar: Scaling AI SafetyRyan Kidd
  136. Dario Amodei — We are near the end of the exponentialDwarkesh Patel
  137. Understanding the inner thoughts of AIGoogle DeepMind
  138. What does the next training paradigm look like?Dwarkesh Patel
  139. Why AI Safety Needs Founders — Ryan KiddBlueDot Impact
  140. A visual guide to Bayesian thinkingJulia Galef
  141. The Scout Mindset by Julia Galef — Core MessageProductivity Game
  142. Unfortunately, You Need to Know What the Jevons Paradox isHank Green
  143. Using Dangerous AI, But Safely?Robert Miles AI Safety
  144. Richard Ngo — Reframing AGI Threat ModelsFAR.AI
  145. Grant Sanderson — AI disproved a famous math conjecture. Now what?Dwarkesh Patel
  146. We're Not Ready for SuperintelligenceAI In Context
  147. Rohin Shah — How to Theorize So Empiricists Will ListenFAR.AI
  148. If you remember one AI disaster, make it this oneAI In Context
  149. Large Language Models explained briefly3Blue1Brown
  150. The A.I. DilemmaCenter for Humane Technology
  151. You should, unfortunately, be worried about Sam Altman.AI In Context
  152. Do they know that we know that they know?Rational Animations
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