LessWrong (Curated & Popular)

LessWrong

Audio narrations of LessWrong posts. Includes all curated posts and all posts with 125+ karma.If you'd like more, subscribe to the “Lesswrong (30+ karma)” feed.

  1. -13 H

    "The truth behind the 2026 J.P. Morgan Healthcare Conference" by Abhishaike Mahajan

    In 1654, a Jesuit polymath named Athanasius Kircher published Mundus Subterraneus, a comprehensive geography of the Earth's interior. It had maps and illustrations and rivers of fire and vast subterranean oceans and air channels connecting every volcano on the planet. He wrote that “the whole Earth is not solid but everywhere gaping, and hollowed with empty rooms and spaces, and hidden burrows.”. Alongside comments like this, Athanasius identified the legendary lost island of Atlantis, pondered where one could find the remains of giants, and detailed the kinds of animals that lived in this lower world, including dragons. The book was based entirely on secondhand accounts, like travelers tales, miners reports, classical texts, so it was as comprehensive as it could’ve possibly been. But Athanasius had never been underground and neither had anyone else, not really, not in a way that mattered. Today, I am in San Francisco, the site of the 2026 J.P. Morgan Healthcare Conference, and it feels a lot like Mundus Subterraneus. There is ostensibly plenty of evidence to believe that the conference exists, that it actually occurs between January 12, 2026 to January 16, 2026 at the Westin St. Francis Hotel, 335 Powell Street, San Francisco [...] --- First published: January 17th, 2026 Source: https://www.lesswrong.com/posts/eopA4MqhrE4dkLjHX/the-truth-behind-the-2026-j-p-morgan-healthcare-conference --- Narrated by TYPE III AUDIO. --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

    18 min
  2. -3 J

    "Life at the Frontlines of Demographic Collapse" by Martin Sustrik

    Nagoro, a depopulated village in Japan where residents are replaced by dolls. In 1960, Yubari, a former coal-mining city on Japan's northern island of Hokkaido, had roughly 110,000 residents. Today, fewer than 7,000 remain. The share of those over 65 is 54%. The local train stopped running in 2019. Seven elementary schools and four junior high schools have been consolidated into just two buildings. Public swimming pools have closed. Parks are not maintained. Even the public toilets at the train station were shut down to save money. Much has been written about the economic consequences of aging and shrinking populations. Fewer workers supporting more retirees will make pension systems buckle. Living standards will decline. Healthcare will get harder to provide. But that's dry theory. A numbers game. It doesn’t tell you what life actually looks like at ground zero. And it's not all straightforward. Consider water pipes. Abandoned houses are photogenic. It's the first image that comes to mind when you picture a shrinking city. But as the population declines, ever fewer people live in the same housing stock and water consumption declines. The water sits in oversized pipes. It stagnates and chlorine dissipates. Bacteria move in, creating health risks. [...] --- First published: February 14th, 2026 Source: https://www.lesswrong.com/posts/FreZTE9Bc7reNnap7/life-at-the-frontlines-of-demographic-collapse --- Narrated by TYPE III AUDIO. --- Images from the article: Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

    18 min
  3. -3 J

    "Why You Don’t Believe in Xhosa Prophecies" by Jan_Kulveit

    Based on a talk at the Post-AGI Workshop. Also on Boundedly Rational Does anyone reading this believe in Xhosa cattle-killing prophecies? My claim is that it's overdetermined that you don’t. I want to explain why — and why cultural evolution running on AI substrate is an existential risk. But first, a detour. Crosses on Mountains When I go climbing in the Alps, I sometimes notice large crosses on mountain tops. You climb something three kilometers high, and there's this cross. This is difficult to explain by human biology. We have preferences that come from biology—we like nice food, comfortable temperatures—but it's unclear why we would have a biological need for crosses on mountain tops. Economic thinking doesn’t typically aspire to explain this either. I think it's very hard to explain without some notion of culture. In our paper on gradual disempowerment, we discussed misaligned economies and misaligned states. People increasingly get why those are problems. But misaligned culture is somehow harder to grasp. I’ll offer some speculation why later, but let me start with the basics. What Makes Black Forest Cake Fit? The conditions for evolution are simple: variation, differential fitness, transmission. Following Boyd and Richerson, or Dawkins [...] --- Outline: (00:33) Crosses on Mountains (04:21) The Xhosa (05:33) Virulence (07:36) Preferences All the Way Down --- First published: February 13th, 2026 Source: https://www.lesswrong.com/posts/tz5AmWbEcMBQpiEjY/why-you-don-t-believe-in-xhosa-prophecies --- Narrated by TYPE III AUDIO. --- Images from the article:

    9 min
  4. -5 J

    "Weight-Sparse Circuits May Be Interpretable Yet Unfaithful" by jacob_drori

    TLDR: Recently, Gao et al trained transformers with sparse weights, and introduced a pruning algorithm to extract circuits that explain performance on narrow tasks. I replicate their main results and present evidence suggesting that these circuits are unfaithful to the model's “true computations”. This work was done as part of the Anthropic Fellows Program under the mentorship of Nick Turner and Jeff Wu. Introduction Recently, Gao et al (2025) proposed an exciting approach to training models that are interpretable by design. They train transformers where only a small fraction of their weights are nonzero, and find that pruning these sparse models on narrow tasks yields interpretable circuits. Their key claim is that these weight-sparse models are more interpretable than ordinary dense ones, with smaller task-specific circuits. Below, I reproduce the primary evidence for these claims: training weight-sparse models does tend to produce smaller circuits at a given task loss than dense models, and the circuits also look interpretable. However, there are reasons to worry that these results don't imply that we're capturing the model's full computation. For example, previous work [1, 2] found that similar masking techniques can achieve good performance on vision tasks even when applied to a [...] --- Outline: (00:36) Introduction (03:03) Tasks (03:16) Task 1: Pronoun Matching (03:47) Task 2: Simplified IOI (04:28) Task 3: Question Marks (05:10) Results (05:20) Producing Sparse Interpretable Circuits (05:25) Zero ablation yields smaller circuits than mean ablation (06:01) Weight-sparse models usually have smaller circuits (06:37) Weight-sparse circuits look interpretable (09:06) Scrutinizing Circuit Faithfulness (09:11) Pruning achieves low task loss on a nonsense task (10:24) Important attention patterns can be absent in the pruned model (11:26) Nodes can play different roles in the pruned model (14:15) Pruned circuits may not generalize like the base model (16:16) Conclusion (18:09) Appendix A: Training and Pruning Details (20:17) Appendix B: Walkthrough of pronouns and questions circuits (22:48) Appendix C: The Role of Layernorm The original text contained 6 footnotes which were omitted from this narration. --- First published: February 9th, 2026 Source: https://www.lesswrong.com/posts/sHpZZnRDLg7ccX9aF/weight-sparse-circuits-may-be-interpretable-yet-unfaithful --- Narrated by TYPE III AUDIO. --- Images from the article:

    27 min
  5. 11 FÉVR.

    "My journey to the microwave alternate timeline" by Malmesbury

    Cross-posted from Telescopic Turnip Recommended soundtrack for this post As we all know, the march of technological progress is best summarized by this meme from Linkedin: Inventors constantly come up with exciting new inventions, each of them with the potential to change everything forever. But only a fraction of these ever establish themselves as a persistent part of civilization, and the rest vanish from collective consciousness. Before shutting down forever, though, the alternate branches of the tech tree leave some faint traces behind: over-optimistic sci-fi stories, outdated educational cartoons, and, sometimes, some obscure accessories that briefly made it to mass production before being quietly discontinued. The classical example of an abandoned timeline is the Glorious Atomic Future, as described in the 1957 Disney cartoon Our Friend the Atom. A scientist with a suspiciously German accent explains all the wonderful things nuclear power will bring to our lives: Sadly, the glorious atomic future somewhat failed to materialize, and, by the early 1960s, the project to rip a second Panama canal by detonating a necklace of nuclear bombs was canceled, because we are ruled by bureaucrats who hate fun and efficiency. While the Our-Friend-the-Atom timeline remains out of reach from most [...] --- Outline: (02:08) Microwave Cooking, for One (04:59) Out of the frying pan, into the magnetron (09:12) Tradwife futurism (11:52) Youll microwave steak and pasta, and youll be happy (17:17) Microvibes The original text contained 3 footnotes which were omitted from this narration. --- First published: February 10th, 2026 Source: https://www.lesswrong.com/posts/8m6AM5qtPMjgTkEeD/my-journey-to-the-microwave-alternate-timeline --- Narrated by TYPE III AUDIO. --- Images from the article:

    20 min

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Audio narrations of LessWrong posts. Includes all curated posts and all posts with 125+ karma.If you'd like more, subscribe to the “Lesswrong (30+ karma)” feed.

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