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LessWrong (Curated & Popular) — 1,000 episodes · page 6 of 10
“Do Not Tile the Lightcone with Your Confused Ontology” by Jan_Kulveit
“Endometriosis is an incredibly interesting disease” by Abhishaike Mahajan
“Estrogen: A trip report” by cube_flipper
“New Endorsements for ‘If Anyone Builds It, Everyone Dies’” by Malo
[Linkpost] “the void” by nostalgebraist
“Mech interp is not pre-paradigmatic” by Lee Sharkey
“Distillation Robustifies Unlearning” by Bruce W. Lee, Addie Foote, alexinf, leni, Jacob G-W, Harish Kamath, Bryce Woodworth, cloud, TurnTrout
“Intelligence Is Not Magic, But Your Threshold For ‘Magic’ Is Pretty Low” by Expertium
“A Straightforward Explanation of the Good Regulator Theorem” by Alfred Harwood
“Beware General Claims about ‘Generalizable Reasoning Capabilities’ (of Modern AI Systems)” by LawrenceC
“Season Recap of the Village: Agents raise $2,000” by Shoshannah Tekofsky
“The Best Reference Works for Every Subject” by Parker Conley
“‘Flaky breakthroughs’ pervade coaching — and no one tracks them” by Chipmonk
“The Value Proposition of Romantic Relationships” by johnswentworth
“It’s hard to make scheming evals look realistic” by Igor Ivanov, dan_moken
[Linkpost] “Social Anxiety Isn’t About Being Liked” by Chipmonk
“Truth or Dare” by Duncan Sabien (Inactive)
“Meditations on Doge” by Martin Sustrik
[Linkpost] “If you’re not sure how to sort a list or grid—seriate it!” by gwern
“What We Learned from Briefing 70+ Lawmakers on the Threat from AI” by leticiagarcia
“Winning the power to lose” by KatjaGrace
[Linkpost] “Gemini Diffusion: watch this space” by Yair Halberstadt
“AI Doomerism in 1879” by David Gross
“Consider not donating under $100 to political candidates” by DanielFilan
“It’s Okay to Feel Bad for a Bit” by moridinamael
“Explaining British Naval Dominance During the Age of Sail” by Arjun Panickssery
“Eliezer and I wrote a book: If Anyone Builds It, Everyone Dies” by So8res
“Too Soon” by Gordon Seidoh Worley
“PSA: The LessWrong Feedback Service” by JustisMills
“Orienting Toward Wizard Power” by johnswentworth
“Interpretability Will Not Reliably Find Deceptive AI” by Neel Nanda
“Slowdown After 2028: Compute, RLVR Uncertainty, MoE Data Wall” by Vladimir_Nesov
“Early Chinese Language Media Coverage of the AI 2027 Report: A Qualitative Analysis” by jeanne_, eeeee
[Linkpost] “Jaan Tallinn’s 2024 Philanthropy Overview” by jaan
“Impact, agency, and taste” by benkuhn
[Linkpost] “To Understand History, Keep Former Population Distributions In Mind” by Arjun Panickssery
“AI-enabled coups: a small group could use AI to seize power” by Tom Davidson, Lukas Finnveden, rosehadshar
“Accountability Sinks” by Martin Sustrik
“Training AGI in Secret would be Unsafe and Unethical” by Daniel Kokotajlo
“Why Should I Assume CCP AGI is Worse Than USG AGI?” by Tomás B.
“Surprising LLM reasoning failures make me think we still need qualitative breakthroughs for AGI” by Kaj_Sotala
“Frontier AI Models Still Fail at Basic Physical Tasks: A Manufacturing Case Study” by Adam Karvonen
“Negative Results for SAEs On Downstream Tasks and Deprioritising SAE Research (GDM Mech Interp Team Progress Update #2)” by Neel Nanda, lewis smith, Senthooran Rajamanoharan, Arthur Conmy, Callum McDougall, Tom Lieberum, János Kramár, Rohin Shah
[Linkpost] “Playing in the Creek” by Hastings
“Thoughts on AI 2027” by Max Harms
“Short Timelines don’t Devalue Long Horizon Research” by Vladimir_Nesov
“Alignment Faking Revisited: Improved Classifiers and Open Source Extensions” by John Hughes, abhayesian, Akbir Khan, Fabien Roger
“METR: Measuring AI Ability to Complete Long Tasks” by Zach Stein-Perlman
“Why Have Sentence Lengths Decreased?” by Arjun Panickssery
“AI 2027: What Superintelligence Looks Like” by Daniel Kokotajlo, Thomas Larsen, elifland, Scott Alexander, Jonas V, romeo
“OpenAI #12: Battle of the Board Redux” by Zvi
“The Pando Problem: Rethinking AI Individuality” by Jan_Kulveit
“OpenAI #12: Battle of the Board Redux” by Zvi
“You will crash your car in front of my house within the next week” by Richard Korzekwa
“My ‘infohazards small working group’ Signal Chat may have encountered minor leaks” by Linch
“Leverage, Exit Costs, and Anger: Re-examining Why We Explode at Home, Not at Work” by at_the_zoo
“PauseAI and E/Acc Should Switch Sides” by WillPetillo
“VDT: a solution to decision theory” by L Rudolf L
“LessWrong has been acquired by EA” by habryka
“We’re not prepared for an AI market crash” by Remmelt
“Conceptual Rounding Errors” by Jan_Kulveit
“Tracing the Thoughts of a Large Language Model” by Adam Jermyn
“Recent AI model progress feels mostly like bullshit” by lc
“AI for AI safety” by Joe Carlsmith
“Policy for LLM Writing on LessWrong” by jimrandomh
“Will Jesus Christ return in an election year?” by Eric Neyman
“Good Research Takes are Not Sufficient for Good Strategic Takes” by Neel Nanda
“Intention to Treat” by Alicorn
“On the Rationality of Deterring ASI” by Dan H
[Linkpost] “METR: Measuring AI Ability to Complete Long Tasks” by Zach Stein-Perlman
“I make several million dollars per year and have hundreds of thousands of followers—what is the straightest line path to utilizing these resources to reduce existential-level AI threats?” by shrimpy
“Claude Sonnet 3.7 (often) knows when it’s in alignment evaluations” by Nicholas Goldowsky-Dill, Mikita Balesni, Jérémy Scheurer, Marius Hobbhahn
“Levels of Friction” by Zvi
“Why White-Box Redteaming Makes Me Feel Weird” by Zygi Straznickas
“Reducing LLM deception at scale with self-other overlap fine-tuning” by Marc Carauleanu, Diogo de Lucena, Gunnar_Zarncke, Judd Rosenblatt, Mike Vaiana, Cameron Berg
“Auditing language models for hidden objectives” by Sam Marks, Johannes Treutlein, dmz, Sam Bowman, Hoagy, Carson Denison, Akbir Khan, Euan Ong, Christopher Olah, Fabien Roger, Meg, Drake Thomas, Adam Jermyn, Monte M, evhub
“The Most Forbidden Technique” by Zvi
“Trojan Sky” by Richard_Ngo
“OpenAI:” by Daniel Kokotajlo
“How Much Are LLMs Actually Boosting Real-World Programmer Productivity?” by Thane Ruthenis
“So how well is Claude playing Pokémon?” by Julian Bradshaw
“Methods for strong human germline engineering” by TsviBT
“Have LLMs Generated Novel Insights?” by abramdemski, Cole Wyeth
“A Bear Case: My Predictions Regarding AI Progress” by Thane Ruthenis
“Statistical Challenges with Making Super IQ babies” by Jan Christian Refsgaard
“Self-fulfilling misalignment data might be poisoning our AI models” by TurnTrout
“Judgements: Merging Prediction & Evidence” by abramdemski
“The Sorry State of AI X-Risk Advocacy, and Thoughts on Doing Better” by Thane Ruthenis
“Power Lies Trembling: a three-book review” by Richard_Ngo
“Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs” by Jan Betley, Owain_Evans
“The Paris AI Anti-Safety Summit” by Zvi
“Eliezer’s Lost Alignment Articles / The Arbital Sequence” by Ruby
“Arbital has been imported to LessWrong” by RobertM, jimrandomh, Ben Pace, Ruby
“How to Make Superbabies” by GeneSmith, kman
“A computational no-coincidence principle” by Eric Neyman
“A History of the Future, 2025-2040” by L Rudolf L
“It’s been ten years. I propose HPMOR Anniversary Parties.” by Screwtape
“Some articles in ‘International Security’ that I enjoyed” by Buck
“The Failed Strategy of Artificial Intelligence Doomers” by Ben Pace
“Murder plots are infohazards” by Chris Monteiro