Powered by RND
PodcastsSociedade e culturaLessWrong (Curated & Popular)

LessWrong (Curated & Popular)

LessWrong
LessWrong (Curated & Popular)
Último episódio

Episódios Disponíveis

5 de 560
  • “Proposal for making credible commitments to AIs.” by Cleo Nardo
    Acknowledgments: The core scheme here was suggested by Prof. Gabriel Weil. There has been growing interest in the deal-making agenda: humans make deals with AIs (misaligned but lacking decisive strategic advantage) where they promise to be safe and useful for some fixed term (e.g. 2026-2028) and we promise to compensate them in the future, conditional on (i) verifying the AIs were compliant, and (ii) verifying the AIs would spend the resources in an acceptable way.[1] I think the deal-making agenda breaks down into two main subproblems: How can we make credible commitments to AIs? Would credible commitments motivate an AI to be safe and useful? There are other issues, but when I've discussed deal-making with people, (1) and (2) are the most common issues raised. See footnote for some other issues in dealmaking.[2] Here is my current best assessment of how we can make credible commitments to AIs. [...] The original text contained 2 footnotes which were omitted from this narration. --- First published: June 27th, 2025 Source: https://www.lesswrong.com/posts/vxfEtbCwmZKu9hiNr/proposal-for-making-credible-commitments-to-ais --- 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.
    --------  
    5:19
  • “X explains Z% of the variance in Y” by Leon Lang
    Audio note: this article contains 218 uses of latex notation, so the narration may be difficult to follow. There's a link to the original text in the episode description. Recently, in a group chat with friends, someone posted this Lesswrong post and quoted: The group consensus on somebody's attractiveness accounted for roughly 60% of the variance in people's perceptions of the person's relative attractiveness. I answered that, embarrassingly, even after reading Spencer Greenberg's tweets for years, I don't actually know what it means when one says: <span>_X_</span> explains <span>_p_</span> of the variance in <span>_Y_</span>.[1] What followed was a vigorous discussion about the correct definition, and several links to external sources like Wikipedia. Sadly, it seems to me that all online explanations (e.g. on Wikipedia here and here), while precise, seem philosophically wrong since they confuse the platonic concept of explained variance with the variance explained by [...] ---Outline:(02:38) Definitions(02:41) The verbal definition(05:51) The mathematical definition(09:29) How to approximate _1 - p_(09:41) When you have lots of data(10:45) When you have less data: Regression(12:59) Examples(13:23) Dependence on the regression model(14:59) When you have incomplete data: Twin studies(17:11) ConclusionThe original text contained 6 footnotes which were omitted from this narration. --- First published: June 20th, 2025 Source: https://www.lesswrong.com/posts/E3nsbq2tiBv6GLqjB/x-explains-z-of-the-variance-in-y --- Narrated by TYPE III AUDIO. ---Images from the article:
    --------  
    18:52
  • “A case for courage, when speaking of AI danger” by So8res
    I think more people should say what they actually believe about AI dangers, loudly and often. Even if you work in AI policy. I’ve been beating this drum for a few years now. I have a whole spiel about how your conversation-partner will react very differently if you share your concerns while feeling ashamed about them versus if you share your concerns as if they’re obvious and sensible, because humans are very good at picking up on your social cues. If you act as if it's shameful to believe AI will kill us all, people are more prone to treat you that way. If you act as if it's an obvious serious threat, they’re more likely to take it seriously too. I have another whole spiel about how it's possible to speak on these issues with a voice of authority. Nobel laureates and lab heads and the most cited [...] The original text contained 2 footnotes which were omitted from this narration. --- First published: June 27th, 2025 Source: https://www.lesswrong.com/posts/CYTwRZtrhHuYf7QYu/a-case-for-courage-when-speaking-of-ai-danger --- Narrated by TYPE III AUDIO.
    --------  
    10:12
  • “My pitch for the AI Village” by Daniel Kokotajlo
    I think the AI Village should be funded much more than it currently is; I’d wildly guess that the AI safety ecosystem should be funding it to the tune of $4M/year.[1] I have decided to donate $100k. Here is why.First, what is the village? Here's a brief summary from its creators:[2] We took four frontier agents, gave them each a computer, a group chat, and a long-term open-ended goal, which in Season 1 was “choose a charity and raise as much money for it as you can”. We then run them for hours a day, every weekday! You can read more in our recap of Season 1, where the agents managed to raise $2000 for charity, and you can watch the village live daily at 11am PT at theaidigest.org/village. Here's the setup (with Season 2's goal): And here's what the village looks like:[3] My one-sentence pitch [...] ---Outline:(03:26) 1. AI Village will teach the scientific community new things.(06:12) 2. AI Village will plausibly go viral repeatedly and will therefore educate the public about what's going on with AI.(07:42) But is that bad actually?(11:07) Appendix A: Feature requests(12:55) Appendix B: Vignette of what success might look likeThe original text contained 8 footnotes which were omitted from this narration. --- First published: June 24th, 2025 Source: https://www.lesswrong.com/posts/APfuz9hFz9d8SRETA/my-pitch-for-the-ai-village --- Narrated by TYPE III AUDIO. ---Images from the article:
    --------  
    13:27
  • “Foom & Doom 1: ‘Brain in a box in a basement’” by Steven Byrnes
    1.1 Series summary and Table of Contents This is a two-post series on AI “foom” (this post) and “doom” (next post). A decade or two ago, it was pretty common to discuss “foom & doom” scenarios, as advocated especially by Eliezer Yudkowsky. In a typical such scenario, a small team would build a system that would rocket (“foom”) from “unimpressive” to “Artificial Superintelligence” (ASI) within a very short time window (days, weeks, maybe months), involving very little compute (e.g. “brain in a box in a basement”), via recursive self-improvement. Absent some future technical breakthrough, the ASI would definitely be egregiously misaligned, without the slightest intrinsic interest in whether humans live or die. The ASI would be born into a world generally much like today's, a world utterly unprepared for this new mega-mind. The extinction of humans (and every other species) would rapidly follow (“doom”). The ASI would then spend [...] ---Outline:(00:11) 1.1 Series summary and Table of Contents(02:35) 1.1.2 Should I stop reading if I expect LLMs to scale to ASI?(04:50) 1.2 Post summary and Table of Contents(07:40) 1.3 A far-more-powerful, yet-to-be-discovered, simple(ish) core of intelligence(10:08) 1.3.1 Existence proof: the human cortex(12:13) 1.3.2 Three increasingly-radical perspectives on what AI capability acquisition will look like(14:18) 1.4 Counter-arguments to there being a far-more-powerful future AI paradigm, and my responses(14:26) 1.4.1 Possible counter: If a different, much more powerful, AI paradigm existed, then someone would have already found it.(16:33) 1.4.2 Possible counter: But LLMs will have already reached ASI before any other paradigm can even put its shoes on(17:14) 1.4.3 Possible counter: If ASI will be part of a different paradigm, who cares? It's just gonna be a different flavor of ML.(17:49) 1.4.4 Possible counter: If ASI will be part of a different paradigm, the new paradigm will be discovered by LLM agents, not humans, so this is just part of the continuous 'AIs-doing-AI-R&D' story like I've been saying(18:54) 1.5 Training compute requirements: Frighteningly little(20:34) 1.6 Downstream consequences of new paradigm with frighteningly little training compute(20:42) 1.6.1 I'm broadly pessimistic about existing efforts to delay AGI(23:18) 1.6.2 I'm broadly pessimistic about existing efforts towards regulating AGI(24:09) 1.6.3 I expect that, almost as soon as we have AGI at all, we will have AGI that could survive indefinitely without humans(25:46) 1.7 Very little R&D separating seemingly irrelevant from ASI(26:34) 1.7.1 For a non-imitation-learning paradigm, getting to relevant at all is only slightly easier than getting to superintelligence(31:05) 1.7.2 Plenty of room at the top(31:47) 1.7.3 What's the rate-limiter?(33:22) 1.8 Downstream consequences of very little R&D separating 'seemingly irrelevant' from 'ASI'(33:30) 1.8.1 Very sharp takeoff in wall-clock time(35:34) 1.8.1.1 But what about training time?(36:26) 1.8.1.2 But what if we try to make takeoff smoother?(37:18) 1.8.2 Sharp takeoff even without recursive self-improvement(38:22) 1.8.2.1 ...But recursive self-improvement could also happen(40:12) 1.8.3 Next-paradigm AI probably won't be deployed at all, and ASI will probably show up in a world not wildly different from today's(42:55) 1.8.4 We better sort out technical alignment, sandbox test protocols, etc., before the new paradigm seems even relevant at all, let alone scary(43:40) 1.8.5 AI-assisted alignment research seems pretty doomed(45:22) 1.8.6 The rest of AI for AI safety seems
    --------  
    58:46

Mais podcasts de Sociedade e cultura

Sobre LessWrong (Curated & Popular)

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.
Site de podcast

Ouça LessWrong (Curated & Popular), Noites Gregas e muitos outros podcasts de todo o mundo com o aplicativo o radio.net

Obtenha o aplicativo gratuito radio.net

  • Guardar rádios e podcasts favoritos
  • Transmissão via Wi-Fi ou Bluetooth
  • Carplay & Android Audo compatìvel
  • E ainda mais funções
Aplicações
Social
v7.19.0 | © 2007-2025 radio.de GmbH
Generated: 7/1/2025 - 3:59:05 PM