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AI safety, AGI & impact: videos Hacker News recommends
AI safety and societal impact: AGI, alignment, existential risk, AI ethics, automation and jobs, AI regulation, AI in education, AI timelines, Bostrom, Yudkowsky, interviews on the future of AI. Below: every video in this topic that at least three HN users linked with real commentary, in at least three different months (17 talks, 15 interviews, 14 explainers), best-scored first, with the comments on each video page.
- 11 HN recommenders 11 months 2014–2026HN has recommended it for a decade as the standard explainer on automation and unemployment, though skeptics later cite it as an example of overconfident predictions.
- 6 HN recommenders 6 months 2019–2023HN commenters repeatedly recommend it as the clearest introduction to why smart AI might behave badly by default.
- 6 HN recommenders 6 months 2025–2026P Perimeter Institute for Theoretical Physics · talkRecommended as a balanced take on AI and education, with the point that learning takes work that no technology can do for you.
- 6 HN recommenders 6 months 2022–2026HN people use it as the standard short explanation for why AI can understand human ethics without sharing them, and often recommend the whole channel.
- 6 HN recommenders 6 months 2017–2026HN commenters cite it whenever engagement-optimizing feeds, micro-targeting or ad infrastructure come up, as an accessible warning about algorithmic amplification.
- 6 HN recommenders 5 months 2022–2023The default link for newcomers wanting an approachable, entertaining introduction to AI risk and alignment.
- 7 HN recommenders 4 months 2023–2026S Sebastien Bubeck · lectureHN recommends it as a thought-provoking talk from a researcher with early GPT-4 access, especially for the unicorn degrading under safety tuning.
- 5 HN recommenders 5 months 2020–2023HN points to it as an accessible rebuttal to the claim that AI risk is just corporate risk.
- 11 HN recommenders 4 months 2023–2024C Center for Humane Technology · talkFrequently recommended as the overview to get up to speed on AI risk, especially by people who valued The Social Dilemma.
- 4 HN recommenders 4 months 2018–2026S Stop Autonomous Weapons · videoHN invokes it as the standard reference whenever drone swarms, autonomous weapons or military AI come up in the news.
- 4 HN recommenders 4 months 2018–2024HN returns to it whenever corporations as paperclip-maximizer AIs or AI risk come up.
- 3 HN recommenders 4 months 2019–2026HN points to it as a reasoned rebuttal to the claim that AI risk is just Pascal's wager.
- 5 HN recommenders 4 months 2021–2026D DUST · videoHN keeps citing it whenever drone swarms, autonomous weapons or AI warfare come up, as a believable depiction of where this leads.
- 3 HN recommenders 3 months 2019–2023Seen as the clearest introduction to the idea behind RLHF, and also borrowed by commenters as a metaphor for human motivation.
- 3 HN recommenders 3 months 2025HN readers recommend it as an intuitive explanation of neural networks that shifts how people think about AI and language.
- 3 HN recommenders 3 months 2022–2025Cited for Karpathy's first-hand explanations of camera-only self-driving, transformers and ML trends.
- 3 HN recommenders 3 months 2020–2023HN commenters call it lucid and fluff-free, and point to Bach as one of the most interesting voices on AI, consciousness and philosophy.
- 3 HN recommenders 3 months 2022–2026HN points to it as the definitive account of the GPT-4chan experiment, used in debates on LLM bias, truthfulness and bots.
- 3 HN recommenders 3 months 2013–2025Plugged repeatedly in AI and drone threads as a concise statement of the dangers of automated weapons.
- 3 HN recommenders 3 months 2021–2023Recommended as a stellar long-form interview with someone both very smart and wise, mined for CPU design insights.
- John Carmack: Doom, Quake, VR, AGI, Programming, Video Games, and Rockets | Lex Fridman Podcast #3093 HN recommenders 3 months 2022–2024HN mines it for Carmack's views on AGI, debuggers, tooling and the metaverse, and recommends it as worth the full length.
- 4 HN recommenders 3 months 2023–2025HN cites it for the argument that we cannot tell whether AI is early or late on its sigmoid curve until hindsight.
- 3 HN recommenders 3 months 2016–2024Often pointed to as an accessible first introduction to AI safety and why a superintelligent AI could be dangerous.
- 2 HN recommenders 2 months 2025–2026T The New Yorker · videoHN brings it up in threads about captchas, bots and AI agents as an excellent short film about being a robot.
- 2 HN recommenders 2 months 2018–2023HN recommends Robert Miles' channel as a clear starting point for people curious about AI safety.
- 2 HN recommenders 2 months 2023P Policy-Relevant Science & Technology · talkHN commenters recommend it as a good debate with leading figures on both sides of the AI existential risk question.
- 2 HN recommenders 2 months 2017–2019Recommended as a broad, practical view of AI's near-term impact from a leading practitioner, with his argument that worrying about evil AI is premature.
- 2 HN recommenders 2 months 2017–2026HN points to it as the standard response to the argument that we can just unplug a dangerous AI.
- 2 HN recommenders 2 months 2015–2023Pointed to in AI safety debates as a short explanation of why encoding human values as simple rules is so hard.
- 2 HN recommenders 2 months 2022–2024HN commenters link it as a compact rebuttal to dismissive arguments and as a way to see why people consider AI safety important.
- 2 HN recommenders 2 months 2018–2025F Future of Life Institute · videoHN cites it whenever drone swarms or autonomous weapons come up, as a dramatized warning that now feels increasingly plausible.
- 1 HN recommenders 2 months 2018–2023T TheCGBros · videoHN cites it in threads on military AI as a vivid depiction of where autonomous warfare could lead.
- 2 HN recommenders 2 months 2024A Arts & Science - University of Toronto · interviewHN recommends it for Hinton's research history and the two pioneers reflecting on a decade of progress.
- 2 HN recommenders 2 months 2019–2021C CraftHub Events · talkHN cites it in algorithmic-bias threads for the impossibility result that an algorithm cannot be procedurally fair, group fair and maximally useful at once.
- Daniel Schmachtenberger on The Portal (with host Eric Weinstein), Ep. #027 - On Avoiding Apocalypses2 HN recommenders 2 months 2020Commenters recommend the whole interview as a wide-ranging discussion of existential risk.
- 2 HN recommenders 2 months 2023–2026Cited in AI-and-education threads as the optimistic case and demo for AI tutoring, and as a source on Khan Academy's LLM approach.
- 3 HN recommenders 2 months 2023C Cognitive Revolution "How AI Changes Everything" · interviewCited as a firsthand account of the raw, unfiltered GPT-4 before safety tuning, especially the part after 45 minutes.
- 3 HN recommenders 2 months 2023C CBS Mornings · interviewRecommended as a more nuanced look at Hinton's views than headlines, especially his argument that LLMs are more than auto-complete.
- 4 HN recommenders 2 months 2023HN commenters send it to people confused about ChatGPT's quirks, explaining how human-feedback training makes it a pleasing yes-man that bullshits.
- 1 HN recommenders 1 months 2023–2026HN people point to it as a clear, skeptical take on AI hype and the risks of unreliable AI classification, such as in mushroom foraging books.
- 2 HN recommenders 1 months 2023Recommended in AI-risk threads as a way to understand the safety-advocate argument for halting development.
- 1 HN recommenders 1 months 2020–2023T TheCGBros · videoCited as a vivid illustration of autonomous weapons and machines that keep running after their creators are gone.
- 2 HN recommenders 1 months 2018–2022Recommended as a long, wide-ranging look into Musk's thinking, especially on AI and the future of humanity.
- 1 HN recommenders 1 months 2021–2025HN points to it in discussions of AI copyright enforcement and badly specified AI goals, and recommends it alongside his other fiction.
- 1 HN recommenders 1 months 2024Cited for LeCun's views on LLM limits and alternative approaches to intelligence.
- 1 HN recommenders 1 months 2017–2023HN cites it in AI risk debates, sometimes as an argument that has aged well and sometimes as an example of alarmist framing.
- 1 HN recommenders 1 months 2023–2024Mostly cited as the canonical statement of AI doomer views, with some recommending it and many criticizing it as irresponsible or wrong.
- 1 HN recommenders 1 months 2020–2025Referenced as an accessible explanation of Kolmogorov complexity and Hutter's view of intelligence as compression.
- 1 HN recommenders 1 months 2023B Bankless · interviewHN links it as a balanced, full-length interview with a leading alignment researcher on AI risk.
- 1 HN recommenders 1 months 2022–2023HN uses it as a reference for the scale of future human population and long-term thinking.
- 1 HN recommenders 1 months 2018–2025C CS Consulting · videoLinked in drone and military AI threads as a chilling dramatization, though some find it alarmist.
- 1 HN recommenders 1 months 2023–2025Recommended as a thoughtful Cantrill talk on embracing failure and curiosity in engineering, and as a skeptical counterpoint to AI doom narratives.
- 1 HN recommenders 1 months 2019–2024HN uses it as a vivid example of emergent behavior from multi-agent reinforcement learning, and as a way to make AI misalignment concerns feel concrete.
- 1 HN recommenders 1 months 2015–2016G Google Zeitgeist · talkHN cites it for the DeepMind CEO's early views on AI and its game-playing focus, in AlphaGo and OpenAI threads.
- 1 HN recommenders 1 months 2023Pointed to as evidence that AI misalignment is an empirically demonstrated problem, for people who dismiss it.
- cited 6× 0 months 2025–2026HN commenters cite it as the serious skeptic's case against LLMs reaching general intelligence, usually in debates about whether scaling is enough.
- cited 7× 0 months 2017–2026C Creative Destruction Lab · commentaryHN uses it as a famous example of an overconfident AI prediction that turned out wrong, since radiologists remain in demand.
- cited 8× 0 months 2020–2026A ALTER · videoUsed as a reference point in discussions of autonomous weapons, as a once-sci-fi scenario that now looks prescient.
- cited 8× 0 months 2023HN mostly cites it for specific Altman quotes, such as models as reasoning engines rather than databases, while many commenters found the interview shallow or insincere.
- cited 4× 0 months 2023–2025R Rich Sutton · talkCited critically, as evidence of the unsettling perspective of a prominent AI researcher who seems to accept humanity being replaced.
- cited 3× 0 months 2015–2024V Vanity Fair · interviewCited mainly as a source for what Musk and Altman said, notably their musings on the simulation hypothesis and the Fermi paradox, and as evidence of Musk's YC ties.
- cited 3× 0 months 2023–2025C Connie Loizos · interviewIt is mostly cited critically or jokingly, as a source for Altman's early statements about AGI and investor promises that commenters later quote back at him.
- Ilya Sutskever (OpenAI Chief Scientist) — Why next-token prediction could surpass human intelligencecited 8× 0 months 2023–2025HN commenters cite it mainly for Sutskever's statements that training data is far from exhausted.
- cited 5× 0 months 2017–2022F Future of Life Institute · talkHN mostly cites it for specific statements, such as Hassabis on AGI and safety buffers, rather than recommending it outright.
- Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGI | Lex Fridman Podcast #419cited 6× 0 months 2024–2026HN uses it as a primary source for what Altman said on topics like programming changing, GPT-5's expected leap and startup structure, and often posts timestamps or paraphrases.
- cited 5× 0 months 2025–2026Mostly cited as a source for Karpathy's views on agents, AGI timelines and LLMs, rather than recommended outright.
- cited 5× 0 months 2024–2025Mostly cited as a source for statements by Anthropic leaders, such as views on AI progress and on sycophancy.
- cited 5× 0 months 2012–2013Linked in threads about Kurzweil joining Google, mostly as a source for his exponential progress charts and his ambitions there.
Questions
What is the most recommended ai safety, agi & impact video on Hacker News?
What Happened to Horses Is Happening to Us by CGP Grey: HN has recommended it for a decade as the standard explainer on automation and unemployment, though skeptics later cite it as an example of overconfident predictions.
How is this ai safety, agi & impact list ranked?
By HackerTube's score: the number of distinct months in which an HN comment recommended the video, plus half a point for every month with a strong recommendation. One viral thread counts less than steady recommendations over years.
Where do the videos come from?
From every Hacker News comment between 2007 and 2026 that linked a YouTube video, labeled by an AI model as a recommendation, a citation, a joke or a criticism. The list is published by HackerTube under ODC-By 1.0; this edition adds indexable pages and the comment context.
Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.