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  • Exclave Subpoena - OpenClaw, Meta's Muse, & Persistent Agentic Automation

    21 Sept

    Exclave Subpoena - OpenClaw, Meta's Muse, & Persistent Agentic Automation

    AI hallucinations nearly sparked an international crisis, Google dodged a breakup but faces new rules, and Meta's personal AI agent might be about to run your life. This week's episode ponders what's pragmatic, what's dangerous, and what's coming for everything from privacy to geopolitics. Judge Orders Data Sharing and Other Fixes to Solve Google's Ad Tech Monopoly US judge signals rejection of part of TikTok privacy settlement AI hallucination of Chinese nuclear components almost led to US military attack For the first time, the US military confirms it has deployed weapons in orbit OpenAI Discloses Six New Incidents of 'Concerning' A.I. Behavior Why AI pacing has become a false choice Iran and China Create First-of-Their-Kind Autonomous A.I. Influence Campaigns Hackers Got Inside a Flock Camera. Its Data Shows How the System Really Works Senate Votes to Block Crypto Bill in Major Blow to the Industry The EU Bans Social Media For Under-13s 'Maybe a year': Geoffrey Hinton gives the Senate a deadline on AI ZuckOff Is a Free App That Sees Meta Glasses Before They See You Host: Leo Laporte Guests: Owen Thomas, Jason Hiner, and Dan Patterson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: trustedtech.team/twit rayneo.com NetSuite.com/TWIT ZipRecruiter.com/twit claude.ai/technology

  • Nick Bostrom: How Should We Navigate Superintelligence?

    3 days ago

    Nick Bostrom: How Should We Navigate Superintelligence?

    Nick Bostrom joins Theo Jaffee and Sofia Puccini on MTS to revisit the ideas about superintelligence and existential risk that he helped bring into the mainstream, now that increasingly capable AI systems actually exist. Nick discusses why reinforcement learning may be pushing models toward more goal-seeking behavior, what recent agent experiments tell us about instrumental convergence, and why he favors preserving the ability to slow frontier development rather than committing now to a broad or indefinite AI pause. He also makes the case that the risks of AI need to be weighed alongside its potential upside, from advances in medicine and longer lifespans to entirely new ways of being human.  They also get into whether today's models could already have some form of consciousness, the tradeoffs of open-source AI, whether machines can do original philosophy, mind uploading, and what the simulation hypothesis might mean for the superintelligence we create. Resources: Nick Bostrom / Macrostrategy Research Initiative: https://nickbostrom.com/  Follow Theo Jaffee on X: https://x.com/theojaffee Follow Sofia Puccini on LinkedIn: https://www.linkedin.com/in/sofiapuccini/ Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  • Can Open Models Keep Up With the AI Frontier? | Nathan Lambert

    7 hr ago

    Can Open Models Keep Up With the AI Frontier? | Nathan Lambert

    a16z Partner Lisha Li sits down with AI researcher and Trillium founder Nathan Lambert to ask how durable the gap really is between frontier AI labs and open models. Nathan argues that OpenAI and Anthropic have structural advantages in compute, capital, and the ability to pioneer new training paradigms, but open-model labs, particularly in China, have proven remarkably capable of following close behind. They unpack how much of that comes from distillation versus technical talent, why compute remains a major constraint, and how data, RL environments, and post-training are increasingly shaping model progress.  They also discuss Nathan’s new nonprofit research lab, Trillium, and its plans to open up parts of AI research that are increasingly difficult to study from the outside. That includes releasing RL environments and documenting how AI is actually being used to automate AI research, with the goal of demystifying recursive self-improvement and giving researchers and policymakers a clearer picture of what frontier systems can and cannot do. Resources: Learn more about Trillium: https://trilliumlabs.org/  Follow Nathan Lambert on X: https://x.com/natolambert  Nathan Lambert’s Newsletter: https://www.interconnects.ai/  Follow Lisha Li on X: https://x.com/lishali88   Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  • Can AI Break Cryptography? What the Experts Actually Think

    1 day ago

    Can AI Break Cryptography? What the Experts Actually Think

    Could AI break the cryptography protecting everything from crypto wallets and banking to private messages? Recent advances in AI-driven mathematical research have sparked new warnings about the security of today's encryption systems, but how much of the concern is supported by evidence? a16z crypto's Liz Harkavy is joined by Stanford cryptographer Dan Boneh, a16z crypto General Partner Eddy Lazzarin, and Research Partner Justin Thaler to separate what we know from what remains speculation. They explain why modern cryptography relies on mathematical assumptions, what OpenAI's recent results do and don't demonstrate, and how the potential threat from AI differs from quantum computing. They also discuss why existing security practices and cryptographic alternatives offer reasons for confidence, the importance of building systems that can adapt if an assumption fails, and how AI could ultimately help researchers and developers make software more secure. Resources: Watch the original a16z crypto discussion: https://www.youtube.com/watch?v=k_CoOoDsZ5Y Follow Eddy Lazzarin on X: https://x.com/eddylazzarin Follow Dan Boneh: https://x.com/danboneh Follow Justin Thaler: https://x.com/SuccinctJT Follow Liz Harkavy: https://x.com/liz_harkavy Learn more about a16z crypto: https://a16zcrypto.com/   Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  • Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots

    4 days ago

    Is Claude Conscious? Pope Rejects, Model Welfare Movement, OpenAI's Math Backlash, France Riots

    (0:00) Bestie intros! (2:53) Anthropic believes Claude might be conscious: a new religion? Lobbying the Pope, alignment risks, model welfare (38:28) OpenAI's math breakthroughs and community backlash (1:02:03) Riots in France, Friedberg's socialism metric, bond market (1:21:41) Grok Bot goes headless, OpenAI launches Dots, is IP worthless? Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@allin Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://www.nytimes.com/2026/09/29/us/anthropic-claude-morals-ai.html https://www.anthropic.com/constitution https://x.com/andrewcurran_/status/2108244808494154089 https://www.economist.com/the-world-in-brief/2026/10/03/388af69b-8327-40a3-af5a-13c0ede56800 https://www.lesswrong.com/users/eliezer_yudkowsky https://www.amazon.com/Anyone-Builds-Everyone-Dies-Superhuman/dp/0316595640 https://en.wikipedia.org/wiki/Roko%27s_basilisk https://www.nytimes.com/2026/10/06/science/openai-math-problems.html https://www.scientificamerican.com/article/openai-unleashes-hundreds-more-math-results-upon-a-field-already-in-shock/ https://terrytao.wordpress.com/2026/10/07/ahm-statement-on-openais-october-6-release-of-mathematical-documents https://scottaaronson.blog/?p=10169 https://x.com/imjustnewatai/status/2107601711032373333 https://x.com/skdh/status/2107848423726555204 https://x.com/friedberg/status/2107856770609844491 https://www.dw.com/en/france-trade-unions-join-students-in-major-demonstration/a-79560273 https://www.nytimes.com/2026/10/02/world/europe/france-schools-protests-unrest.html https://www.nytimes.com/2026/10/08/business/france-bond-yields.html https://x.com/LucAuffret/status/2108217923101683737 https://polymarket.com/event/next-french-presidential-election https://polymarket.com/event/another-fed-rate-hike-in-2026 https://x.com/nikitabier/status/2108262529571144176

  • Advanced Data Techniques: Deploying ClickHouse on Docker

    10/12/2024

    Advanced Data Techniques: Deploying ClickHouse on Docker

    Welcome to our latest episode, where we delve into the cutting-edge world of data management and analytics. Today, we're exploring how to revolutionize your data workflow by integrating ClickHouse with Docker. Join us as we unlock the secrets to high-speed data handling and master the art of efficient data queries. From installation to insight, we'll guide you through streamlining your analytics process, ensuring secure and optimized data configurations. Whether you're looking to elevate your analytics game or simply demystify these powerful tools, this episode is your ultimate guide to data mastery with ClickHouse and Docker. Let's dive in and transform the way you manage data!

  • The Race to Recursive Self-Improving AI

    2 days ago

    The Race to Recursive Self-Improving AI

    a16z General Partner Martin Casado sits down with MakerMaker.AI co-founders Dhaval Adjodah and Owen He to unpack recursive self-improvement, or RSI, and separate the increasingly popular term from what it would actually mean for an AI system to improve itself. Dhaval and Owen distinguish true RSI from simply using AI to automate pieces of AI development. Their goal is a closed loop where the system being improved is also doing the improving, across components including models, harnesses, and eventually more of the AI stack. They explain why closing that loop still doesn’t guarantee runaway “takeoff,” and why measuring real progress requires accounting for both capability gains and the resources required to achieve them. They also share what they’re seeing in their own research, including early signs that self-improving systems can increase performance while improving efficiency. And they dig into the practical challenges of proving those gains are real, from variance and reward hacking to the enormous difficulty of distinguishing genuine improvement from noise. Resources: Follow Dhaval Adjodah on LinkedIn: https://www.linkedin.com/in/rand0m Follow Owen He on LinkedIn:https://www.linkedin.com/in/owen-he-b7b064279/ Follow Martin Casado on X: https://x.com/martin_casado Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  • #500 – Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & Football

    12 Aug

    #500 – Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & Football

    Khabib Nurmagomedov is one of the greatest fighters of all time, who retired from the UFC undefeated with a perfect 29-0 record. We did this conversation entirely in Russian. It’s translated and dubbed into English. Both language audio tracks (and subtitles) are available on YouTube. Here, only the English audio is available. We worked hard to make it enjoyable to listen to, by carefully dubbing the translation using voice-cloning, as we’ve done for previous foreign-language podcasts. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep500-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/khabib-nurmagomedov-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Khabib’s Instagram: https://instagram.com/khabib_nurmagomedov/ Khabib’s YouTube: https://youtube.com/@KhabibTheEagle Khabib’s Facebook: https://facebook.com/KhabibTheEagle/ Khabib’s X: https://x.com/TeamKhabib Khabib’s Telegram: https://t.me/khabib_nurmagomedov Khabib’s Website: https://khabib.com SPONSORS: To support this podcast, check out our sponsors & get discounts: Wispr Flow: AI-powered voice dictation app. Go to https://wisprflow.ai/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:29) – Sponsors, Comments, and Reflections (08:24) – Why Dagestan produces so many great fighters (18:31) – History of Dagestan warrior culture (27:51) – Hard training in the mountains of Dagestan (31:42) – The trap of fame, money, and power (42:23) – The key to Khabib’s dominance (53:36) – Discipline and hard work (1:06:04) – Street fights in Dagestan (1:19:45) – Khabib’s top pressure (1:25:29) – Khabib vs Conor McGregor (1:38:14) – Khabib’s toughest fight (1:46:02) – Greatest MMA fighters of all time (2:03:46) – Coaching (2:09:19) – Daniel Cormier (2:13:38) – Islam Makhachev (2:23:35) – Dana White (2:27:05) – Joe Rogan (2:29:20) – Ali Abdelaziz (2:31:57) – Football (2:39:12) – Messi vs Ronaldo (2:57:12) – Dubai (3:01:03) – God (3:08:46) – Advice for young people

  • TikTok

    08/04/2021

    TikTok

    Tiktok: qué es y nuestra opinión

  • #499 – Gary Gallagher: American Civil War, Slavery, Lincoln, Grant & Lee

    28 Jul

    #499 – Gary Gallagher: American Civil War, Slavery, Lincoln, Grant & Lee

    Gary Gallagher is a historian of the American Civil War. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep499-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/gary-gallagher-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Gary’s UVA page: https://history.virginia.edu/people/gary-w-gallagher Gary’s Wikipedia: https://en.wikipedia.org/wiki/Gary_W._Gallagher The Confederate War (book): https://amzn.to/4yletel The Union War (book): https://amzn.to/3QT1jED Lee and His Generals in War and Memory (book): https://amzn.to/4fdrbD5 Causes Won, Lost, and Forgotten (book): https://amzn.to/4wFxk1X The Myth of the Lost Cause and Civil War History (book): https://amzn.to/4vsAogU The Great Courses – The American Civil War: https://bit.ly/4gDX3mQ SPONSORS: To support this podcast, check out our sponsors & get discounts: Upwork: Platform for hiring freelancers. Go to https://upwork.com/lex NetSuite: Business management software. Go to http://netsuite.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ Plaud: AI-powered note-taking devices and software. Go to https://plaud.ai/lex OUTLINE: (00:00) – Introduction (00:07) – Sponsors, Comments, and Reflections (08:36) – What caused the Civil War? (18:33) – Slavery (46:07) – Lincoln (1:01:03) – Grant vs Lee (1:09:57) – Could the Civil War have been avoided? (1:19:23) – The bloodiest war in US history (1:36:31) – How the Confederate Army could’ve won (1:57:05) – Key battles of the Civil War (2:20:07) – Best and Worst Presidents (2:34:06) – Robert E. Lee (2:53:40) – The most important battle of the Civil War (3:03:51) – The final showdown of the Civil War – Grant vs Lee (3:26:10) – Lost Cause and Confederate Monuments (3:43:37) – Extreme political division in US

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