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Marcus on AI

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626 from 14 May 2022 to 26 Oct 2026
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about daily (215 in the last year)
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2026 189

  1. What Anthropic left out of their draft S-1
  2. Generative AI’s make-or-break week?
  3. Will Generative AI do more harm than good?
  4. All the king’s horses and all the king’s men haven’t been able to put CoreWeave back together again
  5. Breaking news: U.S. banks are taking hits from AI agents
  6. Generative AI in disarray
  7. It remains “very difficult [to find] actual, materially measurable financial impacts” from spending on AI, per new study
  8. Could this be the Frontier Labs’ WeWork moment?
  9. We must recall open-ended AI agents with internet access from the market, now
  10. Complementary remarks from Gary Marcus and Terence Tao on OpenAI’s giant math drop
  11. Coming soon: New York City’s hearing on AI risks
  12. Can companies like OpenAI keep getting away with what they are doing? An interview with Fordham law professor Zephyr Teachout
  13. Hot take on a weak White House Accord on “Super Intelligence”
  14. BREAKING: OpenAI was warned, months before the Hugging Face incident
  15. BREAKING: Florida seeks injunction against OpenAI
  16. BREAKING: AI agent incident toll has risen to tens of thousands
  17. BREAKING: OpenAI’s security fiasco explodes — and could tank Jensen Huang’s reputation
  18. “I think the answer is we have to shut the labs down” - Jensen Huang
  19. Historic UN Security Council Briefing on AI
  20. Dear President Trump, here’s a deal you can actually make that will make you look great
  21. The secret behind Meta’s Muse
  22. BREAKING: Arsonist to write fire code at UN
  23. Big news at the UN
  24. Top three ways Dario Amodei has blown his credibility in seven days
  25. The real reason Trump is standing behind AI — and the latest example of why that might turn out to be a bad idea
  26. Wake up, people. What we should actually fear, near term, is not so much rogue superintelligence as unleashed agentic AI causing hacking the internet at scale.
  27. Liability, regulation, and AI’s new false dichotomy
  28. Sam Altman says trust me; Jensen Huang says everything is going to be fine; Bernie Sanders says AI is more dangerous than nukes
  29. Translating Sam
  30. BREAKING: Secret US AI evaluation framework has been partly revealed
  31. President Trump’s Date With Destiny?
  32. Two cheers (out of three) for Dario Amodei
  33. Could rogue agent swarms take over the entire internet in the next six months?
  34. No, Anderson Cooper, AI is not going to kill all humans by 2030
  35. BREAKING: Two rays of hope
  36. The Case for Boycotting Generative AI
  37. Two dire warnings, one from Terence Tao, the other from someone who just quit Anthropic
  38. OpenAI’s Egregious Pattern of Misconduct
  39. Sad to see Jensen Huang claim that AGI has arrived, with no evidence and no definitions
  40. Pause OpenAI, now
  41. Hot take on GPT-6 Astra
  42. The new Sanders-Casar Ban Artificial Superintelligence Act – and why I oppose it
  43. Elon Musk is on a prediction rampage, and most of the media can’t seem to figure out what to do about it.
  44. Red Alert: OpenAI is poised to cross an AI safety redline.
  45. Dwarkesh Patels’s wildly popular but dangerously misleading account of the OpenAI Hugging Face incident
  46. 5 lessons from the OpenAI / Hugging Face incident
  47. Excellent new Bill Gates essay on the urgency of having a coherent AI plan
  48. Anthropic’s $30 trillion fantasy
  49. Two ways it might all fall apart
  50. A few words about Canada and the US
  51. BREAKING: More bad news for the frontier AI companies
  52. ARR vs ARR. Watch out for this one sly trick.
  53. Data center madness
  54. OpenAI is becoming a surveillance company
  55. Leopold’s Folly
  56. Breaking: The Republican party is panicking over its ties to Big Tech
  57. BREAKING: OpenAI’s unraveling has begun
  58. Google’s biggest mistake?
  59. Breaking: U.S. young adults are now more concerned about AI than enthusiastic
  60. No, Dario Amodei, we will not be curing cancer and “most human disease” in five to ten years
  61. The hyping of Anthropic’s IPO
  62. The one issue unifying the American public
  63. BREAKING: Circular financing reaches new heights
  64. Open-source is NOT the same as open-weight
  65. CPUs and the rise of neurosymbolic AI
  66. Seven reasons I wouldn’t count Google out
  67. Elon Musk’s preposterous and possibly harmful prediction about robotic surgery
  68. Two critical updates re: Astra and mathematics
  69. OpenAI’s amazing — but vastly oversold — new model Astra
  70. Three reactions to Anthropics’s latest apologia
  71. The seven most shambolic things that happened in AI today.
  72. Dario takes it on the chin
  73. Sorry, Sam and Elon, we have not reached the Singularity
  74. Circular financing ain’t what it used to be
  75. An open letter to David Sacks
  76. OpenAI’s disconcerting hack of HuggingFace
  77. China has all but caught up. The US is not going to “win” the AI war. Here’s what we should do instead.
  78. Breaking: Demis Hassabis endorses preflight safety testing for AI
  79. Off for adventures
  80. China catches up
  81. The month Generative AI lost its mojo
  82. The Generative AI Fizzle™
  83. Accenture: Then and now, and how it may signify things to come
  84. Breaking: Trump asks the impossible of Anthropic
  85. OpenAI’s lead is dwindling fast
  86. What Washington must do
  87. The White House’s shambolic AI policy
  88. Breaking news: US Commerce Department effectively shuts down Anthropic’s latest models
  89. You can’t get more 2026 than that
  90. Breaking: OpenAI is pondering “drastic” price cuts.
  91. Maybe Section 230 doesn’t shield AI companies from liability, after all
  92. Breaking: Google liable for hallucinations
  93. Breaking news, and how the end might begin
  94. The revenge of Claude Mythos
  95. An entire industry is being propped up by math that is insane.
  96. Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
  97. AI’s Black Friday
  98. No, Anthropic did not call for a pause on AI development
  99. Sir Demis Hassabis vs Sir Demis Hassabis
  100. No need to panic about Anthropic’s new blog
  101. Breaking: When dreams for AI sanity come true
  102. Why things will eventually fall apart
  103. The Pope appears to understand AI better than Geoffrey Hinton does.
  104. What happens next, after the decline of tokenmaxxing?
  105. Breaking: bad news for three of the biggest IPOs in history
  106. If enough other companies report the same, the bubble pops. 🫧
  107. This one weird trick might cost your retirement fund billions
  108. Checking the math behind OpenAI and Anthropic’s latest headlines
  109. Could generative AI turn out to be the tech industry’s Vietnam? And could public backlash lead AI to a better place?
  110. The AI trial of the century ends with a whimper
  111. The illusion of Generative AI, the insanity of massive bets on hyperscaling, and the case for world models and neurosymbolic AI
  112. US AI policy is a clumsy mess. Here’s what to do about it.
  113. Misplaced panic over AI progress
  114. Agents and ROI
  115. Breaking news: “they hadn’t figured out how OpenAI would pay for it”
  116. What matters (or should matter), at the Musk-OpenAI trial
  117. Breaking: Autonomous Agents are a Shitshow
  118. The growing AI backlash
  119. Have LLMs improved patient outcomes?
  120. Richard Dawkins and The Claude Delusion
  121. “A model that produces code which compiles and passes the tests it was given is not the same as a model that produces correct, secure, maintainable, well-architected software”
  122. The greatest capital misallocation in history?
  123. Three thoughts on the Musk-OpenAI lawsuit
  124. Dario Amodei, hype, AI safety, and the explosion of vibe-coded AI disasters
  125. ChatGPT doesn’t know its whisk from its elbow
  126. ChatGPT's “powerful new image engine”
  127. Please don’t trust your chatbot for medical advice
  128. Peak absurdity, Part II
  129. Claude Mythos, evaluated
  130. Even more good news for the future of neurosymbolic AI
  131. The biggest advance in AI since the LLM
  132. Three reasons to think that the Claude Mythos announcement from Anthropic was overblown
  133. What should we take from Anthropic’s (possibly) terrifying new report on Mythos?
  134. Sam Altman, unconstrained by the truth
  135. The back story behind the first “$1.8 Billion” dollar “AI Company”
  136. The two wildest stories today in tech
  137. On employment, don’t panic – yet.
  138. In the Iran war, it looks like AI helped with operations, not strategy
  139. “CEO said a thing!”
  140. The mirage of visual understanding in current frontier models
  141. War and AI, the death of Sora, and 3 ways you can catch me live today
  142. F Cancer
  143. BREAKING: Sam Altman concedes that we need major breakthroughs beyond mere scaling to get to AGI
  144. BREAKING: Expensive new evidence that scaling is not all you need
  145. Is the US military actually afraid of Claude? A new theory of why Anthropic was labeled a supply chain risk.
  146. “A spate of outages, including incidents tied to the use of AI coding tools”, right on schedule
  147. Anthropic sues US government, with good reason
  148. There are no heroes in commercial AI
  149. BREAKING: Sam Altman’s greed and dishonesty are finally catching up to him
  150. Don’t trust Generative AI to do your taxes — and don’t trust it with people’s lives
  151. Breaking: “sycophantic AI distorts belief, manufacturing certainty where there should be doubt”
  152. How AGI-is-nigh doomers own-goaled humanity
  153. Is AI already killing people by accident?
  154. The whole thing was a scam
  155. Did Trump just overplay his hand?
  156. Does OpenAI’s new financing make sense?
  157. Historic statement from Dario Amodei
  158. Retired US Air Force General Jack Shanahan on the Anthropic-Pentagon tensions
  159. America, and probably the world, stands on a precipice.
  160. Code Red for Humanity?
  161. Marilyn (Molly) Marcus, 1942-2026
  162. Turns out Generative AI was a scam
  163. Rumors of AGI’s arrival have been greatly exaggerated
  164. We URGENTLY need a federal law forbidding AI from impersonating humans
  165. Irony, Irony laced with Karma, and Terror
  166. Breaking: OpenAI is probably toast
  167. Promises are cheap
  168. About that Matt Shumer post that has nearly 50 million views
  169. The literal enshittification of The United States
  170. BREAKING: LLM “reasoning” continues to be deeply flawed
  171. Some disconcerting facts about AI and banking that may have profound consequences
  172. Super Bowl Matchup: Anthropic vs OpenAI
  173. Is the Great AI meltdown imminent? [NSFW]
  174. Sam Altman and the day Nvidia’s meteoric rise came to an end
  175. Four theories about the SpaceX - xAI merger
  176. Where is AI headed? 8 perspectives at The New York Times
  177. OpenClaw (a.k.a. Moltbot) is everywhere all at once, and a disaster waiting to happen
  178. AI bot swarms threaten to undermine democracy
  179. Breaking: Yann LeCun, longtime critic of neurosymbolic approaches, changes teams
  180. Breaking: Sir Demis Hassabis becomes the latest to say that ChatGPT is a dead-end and that we must turn our focus to world models
  181. The Big Short meets Marcus on AI
  182. A few dark words about chatbots and death
  183. How Generative AI is destroying society
  184. The rapid rise and slow decline of Sam Altman
  185. Let’s be honest, Generative AI isn’t going all that well
  186. The Worst Person in Tech
  187. Breaking: Marcus weighs in (mostly) for LeCun
  188. The (possibly) coming AI backlash and information warfare
  189. Why ChatGPT can’t be trusted with breaking news

2025 156

  1. AI Cartoon of The Year — and five (re)readings for 2026
  2. The AI bubble is all over now, baby blue
  3. Two takes on AI and the future of America
  4. Six (or seven) predictions for AI 2026 from a Generative AI realist
  5. “A case for AI models that understand, not just predict, the way the world works”
  6. “New Ways to Corrupt LLMs”
  7. The core misconception that is driving American AI policy
  8. A sad day for America
  9. Has the Chinese government figured out the fact that GPUs ≠ AGI?
  10. Is the White House’s AI Policy Coherent?
  11. “Scale Is All You Need” is dead
  12. OpenAI’s “Code Red”
  13. Three years on, ChatGPT still isn't what it was cracked up to be – and it probably never will be
  14. A trillion dollars is a terrible thing to waste
  15. Has the bailout of generative AI already begun?
  16. A tale of two AI capitalisms
  17. ChatGPT and delusions: an important new inside look at OpenAI
  18. BREAKING: The AI 2027 doomsday scenario has officially been postponed
  19. On shovels, Nvidia, and the AI Gold Rush
  20. Mayday: The White House is attempting to circumvent Congress and crush the rights of individual states to regulate AI.
  21. Hot take on Google’s Gemini 3
  22. The False Glorification of Yann LeCun
  23. 5 recent, ominous signs for Generative AI
  24. Sam Altman’s pants are totally on fire
  25. OpenAI probably can’t make ends meet. That’s where you come in.
  26. Too big to fail?
  27. Could China devastate the US without firing a shot?
  28. Five signs that Generative AI is losing traction
  29. Is vibe coding dying?
  30. Erdosgate
  31. Game over. AGI is not imminent, and LLMs are not the royal road to getting there.
  32. Is AGI the right goal for AI?
  33. The Grand AGI Delusion
  34. Sam Altman and copyright, then and now: A Tolkiensesque journey
  35. Game over for pure LLMs. Even Turing Award Winner Rich Sutton has gotten off the bus.
  36. Why is the ROI on Generative AI so poor?
  37. AI red lines
  38. If Anyone Builds It, Does Everybody Die?
  39. Peak bubble
  40. Alan Kay, Alan Turing, and your truly, October 2 in London
  41. OpenAI’s future, foretold?
  42. The bad news: AI is going pretty much as I expected
  43. Scaling hasn’t gotten us to AGI, or ‘superintelligence’, let alone AI we could trust. What do we do next?
  44. Spinal Tap meets John Malkovich
  45. What scaling does and doesn’t buy you: peeling back the hype surrounding Google‘s trendy Nano Banana
  46. AI, layoffs, productivity and The Klarna Effect
  47. Is this the moment when the Generative AI bubble finally deflates?
  48. Things are so desperate at OpenAI that Sam Altman is starting to sound like Gary Marcus
  49. LLMs + Coding Agents = Security Nightmare
  50. OpenAI’s Waterloo? [with corrections]
  51. LLMs are not like you and me—and never will be.
  52. GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
  53. GPT-5 hot take
  54. Slopocalypse Now
  55. AI Agents have, so far, mostly been a dud
  56. What to Expect When You’re Expecting … GPT-5
  57. DeepMind and OpenAI achieve IMO Gold. What does it all mean?
  58. Sex, Violence, and Ethics: Trying to Teach Grok a Lesson
  59. Why my p(doom) has risen, dramatically
  60. How o3 and Grok 4 Accidentally Vindicated Neurosymbolic AI
  61. Bad Actors are Grooming LLMs to Produce Falsehoods
  62. BREAKING NEWS: AI coding may not be helping as much as you think
  63. Are LLMs starting to become sentient?
  64. Scott Alexander’s Misleading Victory Lap
  65. Botshit Gone Wild
  66. Generative AI’s crippling and widespread failure to induce robust models of the world
  67. Image generation: Still crazy after all these years
  68. LLMs: Dishonest, unpredictable and potentially dangerous.
  69. 1984, but with LLM’s
  70. Five quick updates about that Apple reasoning paper that people can’t stop talking about
  71. Seven replies to the viral Apple reasoning paper – and why they fall short
  72. A knockout blow for LLMs?
  73. AI literacy, hallucinations, and the law: A case study
  74. Black Mirror was a warmup act
  75. The “AI 2027” Scenario: How realistic is it?
  76. AI may have just influenced Argentina’s election
  77. Self-modern, post-parody
  78. Two Years Ago Today in AI History: The Tale of An About-face in AI Regulation
  79. Has Grok lost its mind and mind-melded with its owner?
  80. When it Comes to AI Policy, Congress Shouldn’t Cut States off at the Knees
  81. ChatGPT Blows Mapmaking 101
  82. The Pope gets it
  83. The secret to AGI, in 4 pages
  84. ”Everyone is cheating their way through college” with GenAI. Who should bear the costs?
  85. All your data belong to us
  86. Technology Review jumps the shark
  87. Why DO large language models hallucinate?
  88. The latest AI scaling graph - and why it hardly makes sense
  89. New adventures in AI hype: “Our language models are so ‘conscious’ we need to give them rights”
  90. OpenAI’s dirty December o3 demo doesn’t readily replicate
  91. OpenAI’s o3 and Tyler Cowen’s Misguided AGI Fantasy
  92. ”Those claiming we’re mere months away from AI agents replacing most programmers” should think again
  93. Altman vs Musk cage match
  94. Sam Altman’s attitude problem
  95. One giant leap towards authoritarian rule in the United States
  96. Poor ROI for GenAI
  97. Deep Learning, Deep Scandal
  98. BREAKING: Bill that would have blocked OpenAI’s conversion to a for-profit has mysteriously been gutted.
  99. Scaling is over, the bubble may be deflating, LLMs still can’t reason, and you can’t trust Sam
  100. Reports of LLMs mastering math have been greatly exaggerated
  101. April fools bring May hallucinations
  102. Did an LLM help write Trump’s trade plan?
  103. Questions about President Trump from a former psychology professor
  104. AI has (sort of) passed the Turing Test; here’s why that hardly matters
  105. Breaking GPT-5 news
  106. Unwoven
  107. GenAI’s day of reckoning may have come
  108. Musk, Grok, and “rigorous adherence to truth“
  109. Meta pirated at least 101 of my books and articles, and tens of millions of others
  110. Hype, Anthropic’s Dario Amodei, the podcasters who love him — and how the New York Times’ commentary on AI has degenerated into industry cheerleading
  111. AI Coding Fantasy meets Pac-Man
  112. Urgent warning: Black Mirror has entered the United States, with AI as its handmaiden
  113. Nobel Prizes and The AI Hype Hall of Fame
  114. Ezra Klein’s new take on AGI – and why I think it’s probably wrong
  115. Is Elon Musk “dumb”?
  116. Hinton vs Musk
  117. Decoding (and debunking) Hard Fork’s Kevin Roose
  118. OpenAI, in deep trouble
  119. Hot take: GPT 4.5 is a nothing burger
  120. GPT 4.5 is no GPT-5
  121. Elon Musk's inability to listen to others is torching almost everything he touches
  122. The United States was founded on speaking up against tyranny
  123. GenAI in two words: ”Success Theater”
  124. Grok 3 Beta in Shambles
  125. Grok 3 Hot Take
  126. AlphaGeometry2: Impressive accomplishment, but still a long path ahead
  127. Elon Musk’s terrifying vision for AI
  128. Breaking: OpenAI's efforts at pure scaling have hit a wall
  129. Everything I warned about in Taming Silicon Valley is rapidly becoming our reality
  130. Did Elon Musk just Mu$k Sam Altman?
  131. Paris AI Summit Train Wreck
  132. Shame on Google, twice
  133. WARNING: Elon Musk is crippling the future of the United States
  134. Five ways in which the last 3 months — and especially the DeepSeek era — have vindicated “Deep learning is hitting a wall"
  135. Irony too funny for words
  136. Google, 2001: Don’t Be Evil
  137. ChatGPT in Shambles
  138. Deep Research, Deep Bullshit, and the potential (model) collapse of science
  139. 𝗔𝗜 𝗚𝗲𝗼𝗽𝗼𝗹𝗶𝘁𝗶𝗰𝘀 𝗱𝗲𝗯𝗮𝘁𝗲! My conversation with China’s Victor Gao plus a hot take on new essay by Anthropic’s CEO Dario Amodei
  140. OpenAI Cries Foul
  141. Five things most people don't seem to understand about DeepSeek
  142. “Nvidia could soon take a serious hit, too”
  143. The race for "AI Supremacy" is over — at least for now.
  144. Hot take on an AI catfight
  145. The 2023 White House Executive Order on AI has Been Rescinded
  146. Breaking news: AGI is not imminent!
  147. “LLMs amplify existing security risks and introduce new ones”
  148. AI Agents: Hype versus Reality, redux
  149. AGI versus “broad, shallow intelligence”
  150. The impeccable logic of Sam Altman
  151. AGI isn’t coming in 2025 — and GPT-5 may well not emerge this year, either.
  152. The Five Stages of AGI Grief
  153. Sam Altman thinks that AGI is basically a solved problem. I don’t. Here’s why.
  154. AI still lacks “common” sense, 70 years later
  155. Could 2025 see the largest cyberattack in history?
  156. 25 AI Predictions for 2025, from Marcus on AI

2024 140

  1. Where will AI be at the end of 2027? A bet
  2. 𝗼𝟯 “𝗔𝗥𝗖 𝗔𝗚𝗜” 𝗽𝗼𝘀𝘁𝗺𝗼𝗿𝘁𝗲𝗺 𝗺𝗲𝗴𝗮𝘁𝗵𝗿𝗲𝗮𝗱: 𝘄𝗵𝘆 𝘁𝗵𝗶𝗻𝗴𝘀 𝗴𝗼𝘁 𝗵𝗲𝗮𝘁𝗲𝗱, 𝘄𝗵𝗮𝘁 𝘄𝗲𝗻𝘁 𝘄𝗿𝗼𝗻𝗴, 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝗶𝘁 𝗮𝗹𝗹 𝗺𝗲𝗮𝗻𝘀
  3. o3, AGI, the art of the demo, and what you can expect in 2025
  4. Generative AI’s Continuing Copyright Problems, an Essay in Memory of Suchir Balaji, 1998 - 2024
  5. Humanity’s “Oh shit!” AI moment?
  6. Casey (Newton) Strikes Out
  7. Sora still appears to have trouble with physics
  8. Don’t Ride This Bike! Generative AI’s persistent trouble with compositionality and parts
  9. Hard-forked! Casey Newton’s distorted portrait of Gary Marcus and AI skepticism
  10. Two visions of AI’s future
  11. Which CEO will be the last to see it?
  12. ChatGPT, at Age Two
  13. Cognitive scientist Gary Marcus says AI must be regulated. He has a plan.
  14. Update re: Microsoft and training data
  15. PSA: Microsoft may be training on your private data without your knowledge
  16. A new AI scaling law shell game?
  17. Satya Nadella and the three stages of scientific truth
  18. On hype, and the unbearable banality of ChatGPT’s poetry
  19. An AI rumor you won’t want to miss
  20. CONFIRMED: LLMs have indeed reached a point of diminishing returns
  21. 8 signs that Donald Trump has a progressive form of dementia
  22. AI influencer hype gone wild
  23. An epidemic of weirdly precise AI butt facts
  24. “End of an Era”: OpenAI’s AGI Readiness Chief Resigns and Team is Disbanded
  25. Is OpenAI more like WeWork or Theranos?
  26. When it comes to security, LLMs are like Swiss cheese — and that’s going to cause huge problems
  27. LLMs don’t do formal reasoning - and that is a HUGE problem
  28. Two Nobel Prizes for AI, and Two Paths Forward
  29. Eric Schmidt’s Risky Bet on AI and Climate Change
  30. Sorry, GenAI is NOT going to 10x computer programming
  31. How much should OpenAI’s abandoned promises be worth?
  32. Five reasons why OpenAI’s $150B financing might fall apart
  33. OpenAI’s slow-motion train wreck
  34. Gary Marcus vs Sam Altman on GPT-o1 aka Strawberry
  35. What will the candidates say about AI in tonight’s debate?
  36. Scoop: What former employees of OpenAI are worried about
  37. Why California’s AI safety bill should (still) be signed into law - and why that won’t be nearly enough
  38. What has and has not changed in the AI since the ChatGPT revolution? [Video]
  39. An open letter to Fei-Fei Li concerning California’s proposed AI regulation, SB-1047
  40. OpenAI: On a Path to Becoming The World’s Most Frightening Surveillance Company?
  41. The OpenAI Plot Thickens
  42. August 5, 2024, a big day in tech?
  43. Why the collapse of the Generative AI bubble may be imminent
  44. This one important fact about current AI explains almost everything
  45. Five signs that the GenAI honeymoon is over
  46. Most people don’t think GenAI has improved their productivity
  47. AlphaProof, AlphaGeometry, ChatGPT, and why the future of AI is neurosymbolic
  48. Why OpenAI may well be completely Zuck’d
  49. Don’t look up: the massive Microsoft/Crowdstrike data outage is a huge wake-up call
  50. Marcus goes gaga over Gates clip
  51. The need for a President that speaks AI natively
  52. Clarification from Ray Kurzweil
  53. GPT-5… now arriving Gate 8, Gate 9, Gate 10
  54. The Great AI Retrenchment has begun
  55. The misguided backlash against California’s SB-1047
  56. AGI by 2027?
  57. First sign of GenAI Winter?
  58. Open letter responding to Yann LeCun
  59. “OpenAI Insiders Warn of a ‘Reckless’ Race for Dominance”
  60. AI as Reality Television
  61. 26 months of ridicule and failure
  62. Disturbing and misleading efforts to defame Helen Toner through misdirection
  63. Kara Swisher, Sam Altman, and the OpenAI Board
  64. Elon Musk: 1; Yann LeCun: 1; Humanity: 0
  65. Sam Altman, then and now
  66. What should we learn from OpenAI’s mistakes and broken promises?
  67. ScarJo is just the tip of the iceberg
  68. Partial Regurgitation and how LLMs really work
  69. Sam Altman’s fall from grace
  70. AI has become Sauron’s Ring
  71. The OpenAI board was right
  72. Jane Goodall, AI Skeptic
  73. Chaos and tension at OpenAI
  74. Hot take on OpenAI’s new GPT-4o
  75. Microsoft and OpenAI’s increasingly complicated relationship
  76. The Sam Altman Playbook
  77. An epistemic clusterfuck in the making
  78. We can’t trust the fox to guard the henhouse, especially when it comes to AI
  79. Humans versus Machines: The Hallucination Edition
  80. Facing Facts
  81. Groupthink versus Tulips. What will historians think of 2024?
  82. Daniel Dennett, 1942-2024
  83. Technoptimism, TED, and The Road to the Future
  84. TED, AI, and the test of time
  85. LLMs aren’t very bright. Why are so many people fooled?
  86. Evidence that LLMs are reaching a point of diminishing returns — and what that might mean
  87. Superhuman AGI is not nigh
  88. $10 million says we won’t see human-superior AGI by the end of 2025
  89. 24 hours in AI news
  90. Corrected link, re: new paper on scaling and AGI
  91. Breaking news: Scaling will never get us to AGI
  92. Generative AI as Shakespearean tragedy
  93. Information pollution reaches new heights
  94. An unending array of jailbreaking attacks could be the death of LLMs
  95. Sneak preview of GPT-5!
  96. When Will the GenAI Bubble Burst?
  97. The Second Worst $100B Investment in The History of AI?
  98. The race between positive and negative applications of Generative AI is on – and not looking pretty
  99. Happy 1st Birthday, GPT-4
  100. The exponential enshittification of science
  101. OpenAI’s Lies and Half-Truths
  102. The Year of the Big-Balled Rat
  103. The ROI on GenAI might not be so great, after all
  104. Two years later, deep learning is still faced with the same fundamental challenges
  105. OpenAI’s “Own Goal”
  106. Covert racism in LLMs
  107. The Irony and the Agony of Elon Musk's Lawsuit against OpenAI
  108. No, Sora has not “learned physics”
  109. Elon Musk sues OpenAI
  110. Serious medical error from Perplexity’s chatbot
  111. The last two weeks at OpenAI
  112. No, RAG is probably not going to rescue the current situation
  113. Belief in magic may be declining
  114. Has Google gone too woke? Why even the biggest models still struggle with guardrails
  115. ChatGPT has gone berserk
  116. Absolutely amazing ant video augurs intellectual mayhem
  117. Sora Can’t Handle the Truth
  118. Death of a Chatbot, body blow to an industry
  119. Sora’s Surreal Physics
  120. The hottest new programming language is English! Or maybe not.
  121. Statistics versus Understanding: The Essence of What Ails Generative AI
  122. Horse rides Astronaut, redux
  123. An Open Letter to Sam Altman
  124. Seven reasons why the world should say No to Sam Altman
  125. What Could Possibly Go Wrong with Sam Altman’s New Ambitions?
  126. There Must be Some Misunderstanding
  127. Further Trouble in Hinton City
  128. Could GPT-5 revolutionize military strategy?
  129. Deconstructing Geoffrey Hinton’s weakest argument
  130. When looked at carefully, OpenAI’s new study on GPT-4 and bioweapons is deeply worrisome
  131. Deepfaked Shit is Getting Real
  132. Google Bard: fast, gorgeous, and out of control
  133. One GenAI image; Ten Errors
  134. OpenAI’s Got 9.9 Problems, and Twitch Ain’t One
  135. Where’s Waldo? The Elephant in the Room
  136. No, multimodal ChatGPT is not going to “trivially” solve Generative AI's copyright problems
  137. Could OpenAI’s nonprofit be forced to dissolve?
  138. DALL-E’s New Guardrails: Fast, Furious, and Far from Airtight
  139. The desperate race to save Generative AI
  140. The potential GenAI copyright infringement plot thickens

2023 108

  1. Things are about to get a lot worse for Generative AI
  2. An artist fights back, and Midjourney has embarrassed themselves
  3. Are social media and coordinated misinformation campaigns fomenting extremism?
  4. Sorry, but FunSearch probably isn’t a milestone in scientific discovery
  5. Meta’s Chief AI Officer is lying about the EU AI Act
  6. Nope, the Turing Test has not been solved
  7. It was always about trust
  8. We interrupt this programming
  9. The truth about Google’s amazing new demo
  10. Hot take on Google’s Gemini and GPT-4
  11. “Not consistently candid”
  12. Give me compromise, or give me chaos
  13. Critical national security questions should not be decided unilaterally by unelected tech leaders
  14. Hinton vs LeCun vs Ng vs Tegmark vs O
  15. AI versus The Clumsy Human Mind
  16. About that OpenAI “breakthrough”
  17. A Tale of Two Liars
  18. Massive scoop
  19. OpenAI is back in business
  20. Top 5 reasons why OpenAI was probably never really worth $86 billion
  21. Open letter to all EU leaders
  22. Everybody’s out
  23. I’m not making this up
  24. “No one person should be trusted here.”
  25. As the OpenAI World Turns: 4 vital questions
  26. Firing Sam and then trying to bring him back is a hot mess.
  27. What went down at OpenAI: A theory of the case
  28. The biggest immediate lesson from the OpenAI meltdown
  29. Sam Altman appears to have been pushed out
  30. Has Sam Altman gone full Gary Marcus?
  31. Crisis point in AI?
  32. Rethinking “driverless cars”
  33. Could Cruise be the Theranos of AI? And is there a dark secret at the core of the entire driverless car industry?
  34. Where we are right now on open source and potential AI risk.
  35. The UK AI Summit
  36. First take on the White House Executive Order on AI
  37. Why driverless cars might—or might not—be at the end of the road
  38. A CERN for AI and the Global Governance of AI
  39. Getting GPT to work with external tools is harder than you think
  40. Hello, Multimodal Hallucinations
  41. How long does AI hype take to die?
  42. “Math is hard” — if you are an LLM – and why that matters
  43. Reports of the birth of AGI are greatly exaggerated
  44. What if GPT-5 didn’t meet expectations?
  45. Two kinds of Techno-Optimism
  46. Race, statistics, and the persistent cognitive limitations of DALL-E
  47. What was 60 Minutes thinking, in that interview with Geoff Hinton?
  48. Muddles about Models
  49. Seven lies in four sentences
  50. Top 5 reasons OpenAI is probably not worth 90 billion dollars
  51. Elegant and powerful new result that seriously undermines large language models
  52. Six months after the Pause letter, AI is still erratic — and still something we should still be deeply concerned about
  53. Karen Bakker, 1971-2023
  54. The dirty underbelly of AI
  55. Doug Lenat, 1950-2023
  56. Could we all be doomed, without ranked-choice voting?
  57. 𝐩(𝐝𝐨𝐨𝐦)
  58. The US and China want different things, right?
  59. The Rise and Fall of ChatGPT?
  60. Sentient AI: For the love of Darwin, let’s Stop to Think if We Should
  61. No, Virginia, AGI is not imminent
  62. Face it, self-driving cars still haven’t earned their stripes
  63. Automatic Disinformation Threatens Democracy— and It’s Here
  64. The Imminent Enshittification of the Internet
  65. What exactly are the economics of AI?
  66. What if Generative AI turned out to be a Dud?
  67. Jumpstarting AI Governance
  68. Two models of AI oversight - and how things could go deeply wrong
  69. AI risks, short-term and long—and what we need to do about them
  70. Scientists, governments, and corporations urgently need to work together to mitigate AI risk
  71. How China might crush the West in the race to AGI if we don’t up our regulatory game
  72. Stop Treating AI Models Like People
  73. GPT-5 and irrational exuberance
  74. The first known chatbot associated death
  75. I am not afraid of robots. I am afraid of people.
  76. Italian ban on ChatGPT
  77. The Open Letter Controversy
  78. A temporary pause on training extra large language models
  79. AI risk ≠ AGI risk
  80. The Sparks of AGI? Or the End of Science?
  81. This Week in AI Doublespeak
  82. GPT-4’s successes, and GPT-4’s failures
  83. Should we worry more about short-term AI risk or long-term AI risk?
  84. Caricaturing Noam Chomsky
  85. The long shadow of GPT
  86. Don’t Look Up: The AI Edition
  87. The threat of automated misinformation is only getting worse
  88. Is it time to hit the pause button on AI?
  89. Don’t Go Breaking My Heart
  90. What did they know, and when did they know it? The Microsoft Bing edition.
  91. Why *is* Bing so reckless?
  92. David beats Go-liath
  93. How Not to Test GPT-3
  94. Smells a little bit like AI winter?
  95. Two frightening things before breakfast
  96. The rise and fall of Microsoft’s new Bing
  97. What Google Should Really Be Worried About
  98. Inside the Heart of ChatGPT’s Darkness
  99. Oops! How Google bombed, while doing pretty much exactly the same thing as Microsoft did, with similar results
  100. Some things @GaryMarcus might say
  101. Happy Groundhog Day, The AI Edition
  102. Gaslighting and reality in AI
  103. The CNET Fake News Fiasco, Autopilot, and the Uncanny Cognitive Valley
  104. AGI will not happen in your lifetime. Or will it?
  105. 24 Seriously Embarrassing Hours for AI
  106. Scientists, please don’t let your chatbots grow up to be co-authors
  107. Is Microsoft about to get the deal of the century? Or is Sam Altman unloading OpenAI at just the right time?
  108. Large Language Models like ChatGPT say The Darnedest Things

2022 33

  1. An epic AI Debate—and why everyone should be at least a little bit worried about AI going into 2023
  2. Is ChatGPT Really a “Code Red” for Google Search?
  3. What to Expect When You’re Expecting … GPT-4
  4. AI's Jurassic Park moment
  5. How come GPT can seem so brilliant one minute and so breathtakingly dumb the next?
  6. What does Meta AI’s Diplomacy-winning Cicero Mean for AI?
  7. Sentience and AI: A Dialog between Gary Marcus and Blake Lemoine
  8. How come smart assistants have virtually no ability to converse, despite all the spectacular progress with large language models?
  9. A Few Words About Bullshit
  10. Bravo @ElonMusk for wanting Twitter to become the world’s “most accurate source of information”
  11. What “game over” for the latest paradigm in AI might look like
  12. 5 myths about learning and innateness
  13. Three baffling claims about AI and machine learning in four days, statistical errors in top journals, and claims from Yann LeCun that you should not believe.
  14. DeepFakes versus Deep Understanding
  15. Sub-Optimal
  16. Top 5 reasons Tesla’s Optimus announcement may turn out be a dud
  17. How New are Yann LeCun’s “New” Ideas?
  18. The New Sport of Misrepresenting AI Criticism
  19. Form, function, and the giant gulf between drawing a picture and understanding the world
  20. Did GoogleAI Just Snooker One of Silicon Valley’s Sharpest Minds?
  21. What’s wrong with Google’s new robot project
  22. Learning Language is Harder Than You Think
  23. Three ideas from linguistics that everyone in AI should know
  24. Poetry for Our AGI Times
  25. Will Tesla ever “Solve” Full Self Driving?
  26. Nonsense on Stilts
  27. Does AI really need a paradigm shift?
  28. What does it mean when an AI fails? A Reply to SlateStarCodex’s riff on Gary Marcus
  29. Dear Elon Musk, here are five things you might want to consider about AGI
  30. Horse rides astronaut
  31. Noam Chomsky and GPT-3
  32. The New Science of Alt Intelligence
  33. Coming soon