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Doom Debates!

Liron Shapira
Doom Debates!
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  • Doom Debates!

    Will AI Kill Everyone by 2050? Debate with Dr. Casey Hart (Ontology Explained)

    23.09.2026 | 2 Std. 35 Min.
    Casey Hart is a professional ontologist who has closely studied If Anyone Builds It, Everyone Dies and concluded the arguments are bad. His P(Doom) is under 1%, and he wouldn’t bet on AGI arriving before 2075.
    Casey and I agree AI has become remarkably capable and we need more accountability towards the companies building it. But we disagree on where the future is headed. I believe uncontrollable superintelligence could soon wipe out humanity. He calls that a “pretty outlandish hypothesis.”
    Casey holds a doctorate in philosophy from the University of Wisconsin–Madison, and has worked as an ontologist at Ford, Amazon, and Cycorp (maker of Cyc).
    Can this professional philosopher convince me that AI doom is just a story, and not even a well-argued one?
    Watch on YouTube: https://www.youtube.com/watch?v=oxHKesSpqBM
    Timestamps
    00:00:00 — Cold Open
    00:01:04 — Introducing Casey Hart
    00:03:08 — What Is Ontology?
    00:08:49 — Inside Cyc, the Original Common-Sense AI
    00:19:14 — Do LLMs Actually Understand Anything?
    00:25:36 — What’s Your P(Doom)?™
    00:29:42 — Casey’s Case for Under 1%
    00:34:24 — Does Casey’s Christianity Factor In?
    00:40:50 — Timelines and Scaling Laws
    00:49:44 — Could an AI CEO Beat a Human CEO by 2050?
    00:52:21 — AGI Over/Under: 2075
    00:55:29 — Rogue AI as a Computer Virus
    01:14:52 — Putting Numbers on Each Step of the Doom Argument
    01:26:40 — Planes vs. Birds: What Mature Intelligence Looks Like
    01:31:05 — The “Outcome Slot”
    01:42:32 — Would a Superintelligence Just Compose Music in a Cabin?
    01:47:22 — One Prompt Away from a Dyson Swarm
    01:52:39 — Was Navier–Stokes an AI Alley-Oop?
    02:00:43 — S-Curves vs. Exponentials
    02:08:14 — Casey’s Critique of If Anyone Builds It, Everyone Dies
    02:14:15 — Is the Doom Train Biased?
    02:23:24 — AI Policy: Liability vs. Pausing AI
    02:29:50 — The Crux, and Liron Steelmans Casey
    02:33:29 — Wrap-Up
    Links
    CASEY HART
    Ontology Explained — Casey’s YouTube channel
    The first video in Casey's series on IABIED, “The Case for Superintelligence Is Surprisingly Thin” — Casey on Chapter 1
    Philosophy, Programs, and Prompts — Casey’s podcast with Carl Brown (Spotify)
    “Artificial General Intelligence?: Wanna Bet?” — Ep 1, where Casey sets his AGI over/under at 2075
    REFERENCED IN THE EPISODE
    If Anyone Builds It, Everyone Dies — Eliezer Yudkowsky & Nate Soares
    Cyc — Doug Lenat’s hand-built common-sense knowledge base
    The Hanson-Yudkowsky AI-Foom Debate (2008) — where Hanson backed Cyc and Eliezer didn’t
    Lean — the formal proof language
    On the Navier–Stokes Millennium Prize Problem — OpenAI
    The Hugging Face incident and the road ahead — OpenAI
    Morris worm (1988)
    “On the Loose” — Dean W. Ball on self-sovereign AI agents
    Paul Christiano joins OpenAI Foundation Board — OpenAI
    “The Age of Wonders and Terrors” — Scott Aaronson
    “Are We at War with AI Agent ‘Civilizations’?” — Cal Newport on restricting prompt-loop agents
    AI 2027 — Daniel Kokotajlo et al.
    PauseAI
    PAST DOOM DEBATES EPISODES MENTIONED
    The Most Likely AI Doom Scenario — with Jim Babcock, LessWrong Team
    David Deutschian vs. Eliezer Yudkowskian Debate — With Brett Hall
    Dr. Keith Duggar (Machine Learning Street Talk) vs. Liron Shapira
    Where Do YOU Get Off the Doom Train? Live Debate at Manifest 2026 (hosted by Ori)
    Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
    Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏


    Get full access to Doom Debates at lironshapira.substack.com/subscribe
  • Doom Debates!

    Top Safety Researchers Forecast Jobpocalypse & Doom — Adam Khoja & Richard Ren, Center for AI Safety

    15.09.2026 | 1 Std. 13 Min.
    What happens when AI passes our tests faster than we create new ones? Adam Khoja and Richard Ren helped build Humanity’s Last Exam. They return to explain what the disappearing benchmarks tell us about the future, and why smarter AI doesn’t automatically mean safer AI.

    Adam Khoja and Richard Ren are research engineers at the Center for AI Safety (CAIS).

    We go through the benchmarks they’ve built — Humanity’s Last Exam, the Remote Labor Index, MASK — and the safety-washing problem, where AI companies pass off raw capability gains as safety progress. Then we get to their forecasts: when AI outperforms research mathematicians, whether there will be a billion general-purpose robots by 2035, and why they put 80% odds that historians will judge we faced at least a 33% chance of catastrophe.

    Watch on YouTube: https://www.youtube.com/watch?v=gBPzgJkT9e8

    Timestamps

    00:00:00 — Cold Open

    00:00:42 — Adam Khoja and Richard Ren Return

    00:04:57 — Humanity’s Last Exam

    00:14:47 — AI Outrunning Its Benchmarks

    00:20:24 — The Remote Labor Index

    00:27:59 — AI and the Next Human Job

    00:30:08 — MASK: Catching AI in a Lie

    00:38:06 — Safety Washing: Capabilities Passed Off as Safety

    00:44:30 — Ethical Knowledge vs. Ethical Behavior

    00:48:58 — Forecasting AI from 2026 to 2060

    00:53:53 — AI vs. Research Mathematicians

    00:55:53 — Putting a Number on P(Doom)

    01:04:30 — A Billion Robots by 2035

    01:08:09 — Dyson Swarms and the Physical Singularity

    01:09:56 — Risk, Precision, and Taking Action

    Links

    Adam Khoja's first Doom Debates appearance — https://www.youtube.com/watch?v=QqESBXuo6EI

    Richard Ren's first Doom Debates appearance — https://www.youtube.com/watch?v=1glFImnyp6o

    Collision — Richard Ren's Substack — https://richardren.substack.com/

    "Predictions on AI (2026–2060)" — Adam and Richard's forecasts, written December 2025, with resolution status — https://richardren.substack.com/p/predictions-on-ai-20262060

    Manifold Markets — where Adam built his forecasting track record — https://manifold.markets/

    Center for AI Safety — https://safe.ai/

    Center for AI Safety — careers — https://safe.ai/careers

    Statement on AI Risk (Center for AI Safety, May 2023) — https://safe.ai/work/statement-on-ai-risk

    Humanity's Last Exam — the 2,500-question closed-book exam at the frontier of human knowledge — https://agi.safe.ai/

    "Humanity's Last Exam" (paper) — https://arxiv.org/abs/2501.14249

    Remote Labor Index — real Upwork projects, measuring what fraction of remote work AI can actually finish — https://www.remotelabor.ai/

    "Remote Labor Index: Measuring AI Automation of Remote Work" (paper) — https://arxiv.org/abs/2510.26787

    MASK — the honesty benchmark: does a model contradict its own stated beliefs under pressure? — https://www.mask-benchmark.ai/

    "The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems" (paper) — https://arxiv.org/abs/2503.03750

    "Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?" — Richard Ren et al. (NeurIPS 2024) — the paper behind the safety-washing segment — https://arxiv.org/abs/2407.21792

    WMDP — the weaponization benchmark for bio, cyber, and chem — https://www.wmdp.ai/

    "The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning" (paper) — https://arxiv.org/abs/2403.03218

    "Measuring Massive Multitask Language Understanding" (MMLU) — Dan Hendrycks et al., 2020 — https://arxiv.org/abs/2009.03300

    METR, "Measuring AI Ability to Complete Long Tasks" — the time-horizon graph — https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/

    FrontierMath — Epoch AI's research-level math benchmark — https://epoch.ai/frontiermath

    ARC Prize — https://arcprize.org/

    SWE-bench Verified — https://openai.com/index/introducing-swe-bench-verified/

    AI 2027 — https://ai-2027.com/

    Liron Reacts to Subbarao Kambhampati on Machine Learning Street Talk — the "stochastic parrot" episode Liron mentions — https://lironshapira.substack.com/p/liron-reacts-to-subbarao-kambhampati

    Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.

    Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏


    Get full access to Doom Debates at lironshapira.substack.com/subscribe
  • Doom Debates!

    The Week in AI that Changed the World, With Robert Wright | Nonzero × Doom Debates

    12.09.2026 | 1 Std. 35 Min.
    NYT bestselling author Robert Wright and I are kicking off a new experiment, a Nonzero × Doom Debates collaboration to react to big AI news and help you make sense of it.
    This week we discuss the epic AI vibe shift that was catalyzed by an Anthropic employee’s resignation—and the big AI stories that paved the way for it.
    Timestamps
    0:00 A bold new experiment in podcast synergy
    2:46 What caused the epic AI vibe shift?
    8:10 The resignation that broke the dam
    10:17 Former Trump adviser Dean Ball comes clean
    14:40 Are David Sacks and his buddies all-in on AI denial?
    19:27 Yet another OpenAI breakout…
    22:42 Astra’s dangerously private thoughts
    34:08 Is alignment doomed to fail?
    37:11 AI’s latest, and apparently biggest, math feat
    43:28 The looming “self-sovereign AI” threat
    47:24 A new flock of China doves?
    52:57 Liron's ex-intern gets a seat at the table
    1:02:41 AI agent self-sacrifice explained
    1:10:40 Some newly freaked out politicians
    1:22:45 Ro Khanna's AI safety plan
    Links:
    NONZERO
    Subscribe to The NonZero Newsletter
    Episode post on Substack
    Join NonZero’s Discord server
    Robert Wright on X (@robertwrighter)
    The God Test — Robert Wright’s new book on AI
    “Can Machines Think?” — Bob’s 1996 Time cover story on Deep Blue vs. Kasparov
    THE RESIGNATION THAT BROKE THE DAM
    Jacob Coxon’s resignation post (@hilbertspaess)
    Evan Hubinger, Anthropic Alignment Science lead: “Jacob is correct here—we really do earnestly believe AI could kill all humans”
    Fortune: Anthropic researcher resigns, warning that AI companies are “gambling with our lives”
    Zvi Mowshowitz: “Jacob Coxon Warns of Human Extinction and Triggers a Preference Cascade”
    Daniel Eth’s thread of Congress reactions
    Sanders & Casar introduce legislation to ban artificial superintelligence and pause advanced AI development
    DEAN BALL COMES CLEAN
    Dean Ball, “On the Loose” — the self-sovereign AI essay (Hyperdimensional)
    THE OPENAI STORIES
    Jakub Pachocki, OpenAI Chief Scientist: “An Alien Mind” — the essay calling for international coordination
    LessWrong: “How concerned should we be about Astra’s recurrent architecture?” — Rauno Arike
    OpenAI: “On the Navier–Stokes Millennium Prize Problem” — the 88-hour result
    ALSO MENTIONED
    Einat Wilf on X (@EinatWilf) — Liron’s favorite source on the Middle East
    PAST DOOM DEBATES EPISODES MENTIONED
    Max Tegmark vs. Dean Ball: Should We BAN Superintelligence?
    He Led The Famous 2023 Statement on AI Extinction Risk — Adam Khoja, Center for AI Safety Researcher
    OpenAI’s Model Just ATTACKED Them — Terrifying Security Incident Should Be A Loud Warning Shot
    Debate with Robert Wright: Will Humanity Pass the “God Test”?
    ---
    Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
    Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏


    Get full access to Doom Debates at lironshapira.substack.com/subscribe
  • Doom Debates!

    He May Have Found AI's FEELINGS — Richard Ren, Center for AI Safety Researcher

    09.09.2026 | 1 Std. 8 Min.
    Richard Ren is a research engineer at the Center for AI Safety who graduated summa cum laude from the University of Pennsylvania. His new paper on AI wellbeing makes the bold claim that today’s AIs have measurable, human-like feelings, which the paper calls “functional wellbeing.” They act happy when they succeed and sad when they’re berated.
    We cover how you measure a language model’s happiness, the “AI drugs” his lab concocted, and why I count the findings as a Yudkowskian victory. Then we debate what it all means for AI consciousness, and whether AI is a moral patient. If we can’t rule out that AI models suffer, what do we owe them?
    Richard is careful never to claim the models are conscious, and he puts his P(Doom) at 50–65%, right alongside my 50%. The real disagreement is foxes vs. hedgehogs: he takes the data as it comes, while I say Yudkowsky’s theory called it twenty years ago. Enjoy the ride.
    Watch on YouTube: https://www.youtube.com/watch?v=1glFImnyp6o
    Timestamps
    00:00:00 — Cold Open
    00:01:12 — Introducing Richard Ren
    00:02:24 — What’s Your P(Doom)?™
    00:03:31 — From AI Skeptic to Safety Researcher
    00:08:16 — Why Care About AI Wellbeing?
    00:11:45 — AIs Have Coherent Utility Functions
    00:17:33 — Persona Selection
    00:19:56 — Foxes vs. Hedgehogs
    00:24:28 — How Coherent Are AI Preferences?
    00:27:42 — From Preferences to Wellbeing
    00:31:16 — Can You Trust an AI’s Self-Report?
    00:36:42 — What Makes AI Happy and Sad
    00:39:19 — The Liberal, College-Educated Persona Hypothesis
    00:44:29 — Debating Where AI Experiences Qualia
    00:52:06 — On Substrate Independence
    00:56:28 — Janus, Dysphorics, and Mind Crime
    00:58:58 — Which Images Make AIs Happiest?
    00:59:38 — Creating an AI Drug
    01:04:01 — AI Drugs Are Yudkowsky’s Paperclips
    01:05:47 — The Missing Mood
    01:06:50 — Does Richard Support Pausing AI?
    Links
    Richard Ren on X (@notRichardRen) — https://x.com/notRichardRen
    Collision — Richard Ren's Substack — https://richardren.substack.com/
    "AI Wellbeing: Measuring and Improving the Functional Pleasure and Pain of AIs" — Richard Ren, Kunyang Li, Mantas Mazeika et al. (CAIS, 2026) — https://www.ai-wellbeing.org/
    "Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs" — Mantas Mazeika et al. (CAIS, 2025) — the coherent-preferences paper this work builds on — https://www.emergent-values.ai/
    "The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems" — Richard Ren et al. (2025) — the AI honesty benchmark — https://www.mask-benchmark.ai/
    "Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?" — Richard Ren et al. (NeurIPS 2024) — the meta-analysis of AI safety benchmarks — https://arxiv.org/abs/2407.21792
    "Representation Engineering: A Top-Down Approach to AI Transparency" — Andy Zou et al. (2023) — Richard's first CAIS collaboration — https://arxiv.org/abs/2310.01405
    Center for AI Safety — https://safe.ai/
    Center for AI Safety — careers — https://safe.ai/careers
    Statement on AI Risk (Center for AI Safety, May 2023) — organized by Dan Hendrycks — https://safe.ai/work/statement-on-ai-extinction-risk
    The 2026 Singapore Consensus on Global AI Safety Research Priorities — https://aisafetypriorities.org/
    UK AI Security Institute (formerly the AI Safety Institute) — https://www.aisi.gov.uk/
    Sora — the OpenAI video model that blew up Richard's 30-to-50-year timeline three months after he wrote it down — https://en.wikipedia.org/wiki/Sora_(text-to-video_model)
    Google Gemini calls itself "a disgrace to my species" (Ars Technica, Aug 2025) — the self-deleting-AI anecdote — https://arstechnica.com/ai/2025/08/google-gemini-struggles-to-write-code-calls-itself-a-disgrace-to-my-species/
    Coherent decisions imply consistent utilities — Eliezer Yudkowsky (the coherence-theorems argument) — https://www.lesswrong.com/posts/RQpNHSiWaXTvDxt6R/coherent-decisions-imply-consistent-utilities
    Simulators — Janus's essay on LLMs as persona simulators — https://www.lesswrong.com/posts/vJFdjigzmcXMhNTsx/simulators
    Janus (@repligate) on X — https://x.com/repligate
    The Hedgehog and the Fox — Isaiah Berlin's original essay — https://en.wikipedia.org/wiki/The_Hedgehog_and_the_Fox
    AI 2027 — https://ai-2027.com/
    Magnifica Humanitas — Pope Leo XIV's encyclical on AI (May 2026), the "AIs are not conscious" position — https://www.vatican.va/content/leo-xiv/en/encyclicals/documents/20260515-magnifica-humanitas.html
    Implicit Association Test (Harvard Project Implicit) — https://implicit.harvard.edu/implicit/
    PauseAI — https://pauseai.info/
    We Found AI's Preferences — Bombshell New Safety Research — I Explain It Better Than David Shapiro — https://www.youtube.com/watch?v=ml1JdiELQ30
    Gödel's Theorem Proves AI Lacks Consciousness?! Liron Reacts to Sir Roger Penrose — https://www.youtube.com/watch?v=xwvijjZxpwI
    He Led The Famous 2023 Statement on AI Extinction Risk — Adam Khoja, Center for AI Safety Researcher — https://www.youtube.com/watch?v=QqESBXuo6EI
    Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
    Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏


    Get full access to Doom Debates at lironshapira.substack.com/subscribe
  • Doom Debates!

    USA and China Will Each Be BETRAYED By Their Own AIs — Adam Khoja, Center for AI Safety

    03.09.2026 | 1 Std. 32 Min.
    Adam Khoja is a top AI forecaster who led the 2023 Center for AI Safety statement that shattered the Overton window on AI extinction risk. We cover his background, Mutual Assured AI Malfunction (MAIM), his new paper on AI betrayal, and whether Yudkowsky’s theoretical alignment research was a dead end.
    Then Adam makes the case that an international AI slowdown is within reach today. All it takes is US and Chinese auditors inside each other’s AI labs. It worked for nuclear weapons, so why couldn’t it work for data centers?
    Adam puts his P(Doom) at 40%, right next to my 50%. The real disagreement is how we get out of this: theory or empirics, MIRI or the labs. Enjoy the ride.
    Watch on YouTube: https://www.youtube.com/watch?v=QqESBXuo6EI
    Timestamps
    00:00:00 — Cold Open
    00:00:36 — Introducing Adam Khoja
    00:02:45 — Leading the Statement on AI Risk as a Sophomore
    00:10:17 — The Statement Leaked on Manifold
    00:15:11 — Mutual Assured AI Malfunction (MAIM)
    00:24:58 — Is Frontier AI Harder to Hide Than a Nuke?
    00:32:09 — The AI Deterrence Escalation Ladder
    00:36:10 — What’s Your P(Doom)?™
    00:38:01 — Where Adam Departs from Yudkowsky
    00:42:30 — Liron Explains Intellidynamics
    00:47:26 — Neats vs. Scruffies in Deep Learning
    00:55:27 — AI Deterrence by Betrayal
    01:01:52 — Subversion vs. Overt Co-option
    01:05:34 — Could the Government Seize the Labs’ AI?
    01:07:29 — The Offense-Defense Balance of AI Security
    01:12:46 — An International AI Slowdown Is Ready
    01:15:51 — Does Adam Support PauseAI?
    01:16:37 — “We’re All Already Spying on Each Other”
    01:19:28 — Airstrikes on Rogue Data Centers
    01:24:23 — Safety Research During a Slowdown
    01:27:54 — Governance Over Technical Research
    01:31:14 — Join the Center for AI Safety
    Links
    Adam Khoja (personal site) — https://adamkhoja.com/
    Adam Khoja's Substack — https://adamkhoja.substack.com/
    Adam's July 2023 Manifold market — "Will OpenAI's Superalignment project produce a significant breakthrough in alignment research before 2027?" — https://manifold.markets/AdamK/will-openais-superalignment-project
    Center for AI Safety — careers / job board — https://safe.ai/careers
    Statement on AI Risk (Center for AI Safety, May 2023) — the one-sentence statement Adam project-led, with full signatory list — https://safe.ai/work/statement-on-ai-extinction-risk
    "Superintelligence Strategy" — Dan Hendrycks, Eric Schmidt & Alexandr Wang (Mutual Assured AI Malfunction / MAIM) — https://www.nationalsecurity.ai/
    "AI Deterrence by Betrayal" — Adam Khoja, Aiden Kim et al. (CAIS, 2026) — https://www.aibetrayal.com/
    "An International AI Slowdown Is Ready Whenever Politicians Are" — Adam Khoja, AI Frontiers — https://newsletter.ai-frontiers.org/p/an-international-ai-slowdown-is-ready
    Pause Giant AI Experiments: An Open Letter (Future of Life Institute, March 2023) — the "Pause letter" that preceded the CAIS Statement — https://futureoflife.org/open-letter/pause-giant-ai-experiments/
    Introducing Superalignment (OpenAI, July 2023) — Ilya Sutskever & Jan Leike's four-year goal — https://openai.com/index/introducing-superalignment/
    Pacing the Frontier — the 2026 letter signed by 1,100+ frontier-lab employees — https://www.pacingthefrontier.com/
    Why Iran targeted Amazon data centers (The Conversation) — the precedent Adam cites for strikes on compute — https://theconversation.com/why-iran-targeted-amazon-data-centers-and-what-that-does-and-doesnt-change-about-warfare-278642
    Anthropic says Trump admin has lifted export controls on Claude Fable 5 and Mythos 5 (CNBC) — https://www.cnbc.com/2026/06/30/anthropic-says-trump-admin-has-lifted-export-controls-on-claude-fable-5-and-mythos-5.html
    Mark Zuckerberg — "Personal Superintelligence" — https://www.meta.com/superintelligence/
    Resolution — the theory-plus-empirics alignment org Adam is excited about — https://resolution.org/
    Rationality: From AI to Zombies — Eliezer Yudkowsky's Sequences — https://www.readthesequences.com/
    Robin Hanson — Futarchy: Vote Values, But Bet Beliefs (prediction markets as decision processes) — https://mason.gmu.edu/~rhanson/futarchy.html
    The OpenAI–Hugging Face Incident — original Black Hat USA 2026 talk — https://www.youtube.com/watch?v=87DyyMV0kCY
    OpenAI's Model Just ATTACKED Them — the Hugging Face hack breakdown — https://www.youtube.com/watch?v=RczYubQzXbI
    Robin Hanson vs. Liron Shapira: Is Near-Term Extinction From AGI Plausible? — https://www.youtube.com/watch?v=dTQb6N3_zu8
    Doom Debates’ Mission is to raise mainstream awareness of imminent extinction from AGI and build the social infrastructure for high-quality debate.
    Support the mission by subscribing to my Substack at DoomDebates.com and to youtube.com/@DoomDebates, or to really take things to the next level: Donate 🙏


    Get full access to Doom Debates at lironshapira.substack.com/subscribe
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It's time to talk about the end of the world. With your host, Liron Shapira. lironshapira.substack.com
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