Podcasts about AGI

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Brandon Weichert highlights the immense power demands of AI and AGI data centers, requiring gigawatts of electricity and facing significant regulatory hurdles. He discusses the potential weaponization of AI, noting human nature's tendency to weaponize new technologies. Weichert shares personal experiences with AI tools like Grok, Gemini, and Claude, including instances of AI "diversion" rather than hallucination. He emphasizes the need to master this technology, as the substantial investment ensures its permanence. 1958

CBS EYE ON THE WORLD WITH JOHN BATCHELOR SHOW SCHEDULE  9-12-25 GOOD EVENING. THE SHOW BEGINS IN GAZA WITH THE GOAL OF DEHAMASIFICATION.. FIRST HOUR 9-915 John Bolton criticizes the "two-state solution" as a dead idea post-October 7th, proposing a "three-state solution" where Gaza returns to Egypt or is divided, and the West Bank is managed by Israel and Jordan. He emphasizes "De-Hamasification" as crucial and humanitarian, arguing that Arab nations, particularly Egypt, resist taking Gazan refugees due to fears of importing Hamas/Muslim Brotherhood influence. Bolton believes this is necessary for a stable future in the region. 915-930 Lorenzo Fiori shares a traditional Milanese recipe for "rice with saffron" (risotto alla Milanese), often served at La Scalagala dinners, describing it as delicious and creamy with parmesan cheese. He recommends pairing it with Italian wines like Barolo or Barbaresco from Piedmont. Fiori also discusses Italy's economic concerns regarding political instability in France and Germany, and the ongoing international interest in NATO events. 930-945 Gene Marks describes a mixed economic picture, noting that a national "slowdown" isn't universally felt, with many small businesses thriving. He highlights challenges like rising healthcare costs, spurring interest in self-insurance and health reimbursement arrangements. Marks discusses AI's impact on the workforce, specifically reducing sales and tech roles in large companies like Salesforce, but predicts a surge in demand for skilled trades not easily replaced by AI. 945-1000 CONTINUED Gene Marks describes a mixed economic picture, noting that a national "slowdown" isn't universally felt, with many small businesses thriving. He highlights challenges like rising healthcare costs, spurring interest in self-insurance and health reimbursement arrangements. Marks discusses AI's impact on the workforce, specifically reducing sales and tech roles in large companies like Salesforce, but predicts a surge in demand for skilled trades not easily replaced by AI. SECOND HOUR 10-1015 Jim McTague reports from Lancaster County, PA, challenging the narrative of an economic slowdown. He shares examples of busy local businesses like "Phil the painter" who has never been busier. McTague observes a trend of housing price cuts, but notes vibrant local tourism and events. He highlights the significant economic boost from two new data centers, creating 600-1000 construction jobs and 150 permanent positions, bringing the county into the 21st century. 1015-1030 Max Meizlish, a senior research analyst, highlights how Chinese money laundering networks are fueling America's fentanyl epidemic by cleaning drug proceeds for Mexican cartels. These networks also enable wealthy Chinese nationals to bypass capital control 1030-1045 Richard Epstein discusses federal district court judges defying presidential orders, attributing it to a breakdown of trust and the president's "robust view of executive power" that disregards established procedures and precedents. He explains that judges may engage in "passive resistance" or "cheating in self-defense" when they perceive the president acting for political reasons or abusing power, such as in budget cuts or dismissals. Epstein also links this distrust to gerrymandering and increasing political polarization1045-1100 Richard Epstein discusses federal district court judges defying presidential orders, attributing it to a breakdown of trust and the president's "robust view of executive power" that disregards established procedures and precedents. He explains that judges may engage in "passive resistance" or "cheating in self-defense" when they perceive the president acting for political reasons or abusing power, such as in budget cuts or dismissals. Epstein also links this distrust to gerrymandering and increasing political polarization. THIRD HOUR 1100-1115 Henry Sokolski addresses the critical challenge of the US power grid meeting AI data center demands, which are projected to require gigawatt-scale facilities and vastly increased electricity by 2030. He questions who bears the risk and cost of this buildout, advocating for AI companies to fund their own power generation. Sokolski also discusses the debate around nuclear power as a solution and Iran's suspect nuclear weapons program, highlighting the complexities of snapback sanctions and accounting for uranium. 1115-1130 CONTINUED Henry Sokolski addresses the critical challenge of the US power grid meeting AI data center demands, which are projected to require gigawatt-scale facilities and vastly increased electricity by 2030. He questions who bears the risk and cost of this buildout, advocating for AI companies to fund their own power generation. Sokolski also discusses the debate around nuclear power as a solution and Iran's suspect nuclear weapons program, highlighting the complexities of snapback sanctions and accounting for uranium.1130-1145 Professor John Cochrane of the Hoover Institution attributes current inflation to the fiscal theory of the price level. He explains that massive government spending, such as the $5 trillion borrowed during COVID-19 with $3 trillion printed by the Fed, combined with no credible plan for repayment, directly causes inflation. Cochrane differentiates this from monetarism, noting that quantitative easing (printing money and taking back bonds) did not lead to inflation. He emphasizes that the 2022 inflation spike was a loss of confidence in the government's ability to pay its debts. Successful disinflations, he argues, require a combination of monetary, fiscal, and microeconomic reforms. 1145-1200 Professor John Cochrane of the Hoover Institution attributes current inflation to the fiscal theory of the price level. He explains that massive government spending, such as the $5 trillion borrowed during COVID-19 with $3 trillion printed by the Fed, combined with no credible plan for repayment, directly causes inflation. Cochrane differentiates this from monetarism, noting that quantitative easing (printing money and taking back bonds) did not lead to inflation. He emphasizes that the 2022 inflation spike was a loss of confidence in the government's ability to pay its debts. Successful disinflations, he argues, require a combination of monetary, fiscal, and microeconomic reforms.FOURTH HOUR 12-1215 Conrad Black offers an insider's view of the Trump White House, describing a very positive, informal, and busy atmosphere. He notes the president's decisiveness, courtesy to subordinates, and long workdays, with constant activity in the Oval Office. Black contrasts this informal style with Roosevelt and Nixon, suggesting it's a "three-ring circus" that nonetheless works due to Trump's methods. He also touches on Canadian perceptions, acknowledging Trump's work ethic despite political differences.EV1215-1230 Brandon Weichert highlights the immense power demands of AI and AGI data centers, requiring gigawatts of electricity and facing significant regulatory hurdles. He discusses the potential weaponization of AI, noting human nature's tendency to weaponize new technologies. Weichert shares personal experiences with AI tools like Grok, Gemini, and Claude, including instances of AI "diversion" rather than hallucination. He emphasizes the need to master this technology, as the substantial investment ensures its permanence.1230-1245 Bob Zimmerman details SpaceX's expanding Starlink reach, including a $17 billion deal to acquire Echostar's FCCspectrum licenses, ensuring Echostar's survival by partnering rather than competing. He also reports on Starship Super Heavy's 10th test flight, where metal thermal tiles failed but significant lessons were learned, with plans for an 11th flight and version three development. NASA's Dragonfly mission to Titan is vastly over budget and behind schedule, risking failure. China's technological exports, including drones and EVs, pose surveillance risks due to government control.1245-100 AM CONTINUED Bob Zimmerman details SpaceX's expanding Starlink reach, including a $17 billion deal to acquire Echostar's FCCspectrum licenses, ensuring Echostar's survival by partnering rather than competing. He also reports on Starship Super Heavy's 10th test flight, where metal thermal tiles failed but significant lessons were learned, with plans for an 11th flight and version three development. NASA's Dragonfly mission to Titan is vastly over budget and behind schedule, risking failure. China's technological exports, including drones and EVs, pose surveillance risks due to government control.

Steven Adler, former OpenAI safety researcher, author of Clear-Eyed AI on Substack, and independent AGI-readiness researcher, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law and Senior Fellow at Lawfare, to assess the current state of AI testing and evaluations. The two walk through Steven's views on industry efforts to improve model testing and what he thinks regulators ought to know and do when it comes to preventing AI harms.Thanks to Leo Wu for research assistance!Find Scaling Laws on the Lawfare website, and subscribe to never miss an episode.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

(0:00) Introducing Sir Demis Hassabis, reflecting on his Nobel Prize win (2:39) What is Google DeepMind? How does it interact with Google and Alphabet? (4:01) Genie 3 world model (9:21) State of robotics models, form factors, and more (14:42) AI science breakthroughs, measuring AGI (20:49) Nano-Banana and the future of creative tools, democratization of creativity (24:44) Isomorphic Labs, probabilistic vs deterministic, scaling compute, a golden age of science Thanks to our partners for making this happen! Solana: https://solana.com/ OKX: https://www.okx.com/ Google Cloud: https://cloud.google.com/ IREN: https://iren.com/ Oracle: https://www.oracle.com/ Circle: https://www.circle.com/ BVNK: https://www.bvnk.com/ Follow Demis: https://x.com/demishassabis 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/@theallinpod 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  

Send us a textJoin hosts Alex Sarlin and Ben Kornell as they break down the latest shifts in education technology, from Google's aggressive AI push to early childhood challenges and new federal initiatives.✨ Episode Highlights:[00:04:48] Google's AI surge disrupts Duolingo with gamified language learning in Google Translate[00:12:14] Google's edge in practical AI tools versus the AGI race[00:17:28] Competitive landscape across OpenAI, Google, Anthropic, and predictions for Chinese challengers[00:22:14] Presidential AI Challenge invites students to showcase projects nationwide[00:24:01] 70% of parents oppose student data going into AI tools, raising regulatory concerns[00:33:29] AI shifting from “what it is” to “how it enables” daily tasks and learning[00:36:53] Uptake struggles in early childhood education despite universal pre-K expansion[00:38:52] Oak National Academy opens curriculum API and University of Phoenix prepares for IPO[00:40:53] Michael Horn highlights optimism for innovation inside and outside school systemsPlus, special guest:[00:41:15] Karim Meghji, Chief Product Officer of Code.org on the Hour of AI, AI-powered teacher tools, and CS education for all students

Get My New Book, Focus Like a Nobel Prize Winner, for Only $ 0.99! This week only: https://a.co/d/hi50U9U David Deutsch offers his insights into the physics that will impact our future, challenging our new technologies, such as AGI and the development of synthetic humans, as depicted in movies. Join us for this fascinating discussion as we go INTO THE IMPOSSIBLE. KEY TAKEAWAYS 00:00:00 – 00:00:39 Could machines experience thoughts and sensations like humans? 00:00:45 – 00:01:46 Deutsch argues subjective experiences can arise from any system replicating brain-like processing. 00:01:47 – 00:02:25 We never experience the present moment directly but recall slightly delayed interpretations. 00:02:25 – 00:03:30 Deutsch views himself as software running on brain hardware, embodiment is mainly computational. 00:03:30 – 00:04:37 Loss of physical body parts doesn't reduce personhood 00:04:43 – 00:07:13 Story of “lock-in” from horse's width shaping space tech leads to analogy about AI hardware lock-in. 00:08:10 – 00:09:20 Lock-in may slow progress but creativity ensures no permanent limits. 00:09:20 – 00:12:15 Square roots and complex numbers naturally emerge in physics due to algebraic structures of reality. 00:12:15 – 00:13:31 Not all mathematical structures are worth exploring—only those relevant to solving physics problems. 00:13:31 – 00:17:00 Shift to memetics: persistence of anti-Jewish patterns is deeper than typical memes. 00:17:00 – 00:19:26 Pattern predates Christianity; it persists through cultural rationalizations, not simple hatred. 00:19:50 – 00:21:23 Discussion of life vs. death choices from Torah portion ties to Deutsch's book on infinity 00:21:44 – 00:22:32 Humanity faces no upper or lower bounds—capable of infinite progress or catastrophic mistakes 00:23:36 – 00:24:21 Advice to young self-consider interference processes as a door to quantum computation 00:25:16 – 00:26:13 Deutsch admits past mistakes—initially misjudged multiverse explanations and free will 00:27:08 – 00:28:08 David redefines free will as the ability to create objectively new knowledge. 00:28:14 – 00:28:41 AGI programs will have free will once true AI is achieved. 00:29:02 – 00:29:18 Conclusion -------------------------- Additional resources: Get Dr. Brian Keating's NEW Book for Only 0.99! This week only: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Get David Deutsch's Book: https://www.amazon.com/Beginning-Infinity-Explanations-Transform-World/dp/0143121359 Please join my mailing list here

In this episode of FYI, ARK's Brett Winton and Charlie Roberts speak with Dmitry Shevelenko, Chief Business Officer at Perplexity, about the company's evolving role in the future of the agentic internet. They discuss how Perplexity is carving out its place in the AI ecosystem—not as just a wrapper, but as a full-stack answer engine built for research, action, and trust. Dmitry outlines how Perplexity balances product excellence, model orchestration, and subscription alignment to serve both consumers and enterprises. He also highlights the team's bold vision for Comet, their AI-native web browser, and how it fits into a future shaped by AI agents and voice interfaces.Key Points From This Episode:00:00:00 How Perplexity positions itself within the AI assistant landscape—and what makes it stand out to ARK.00:02:37 Why the analyst team prefers Perplexity for researching earnings calls, transcripts, and filings.00:03:58 Dmitry explains why only a few agentic AI systems may dominate—and why productization still matters.00:06:10 The team discusses Perplexity's potential for rapid user growth and why context portability may remain limited.00:07:51 How the agentic internet could reshape browsing—and why half of current screen time may be up for automation.00:09:33 A breakdown of Perplexity's monetization strategy, centered on consumer and enterprise subscriptions.00:12:28 Why the company avoids ad-based business models in favor of long-term trust alignment with users.00:13:17 Introducing Pro Perks: how Perplexity returns affiliate value to users instead of monetizing with ads.00:14:28 The vision of a future where your personal agent negotiates on your behalf with merchants' AI agents.00:15:43 Why link-based performance advertising is vulnerable in an agentic world—and which ad models might persist.00:18:10 Charles on building trust and resisting “sycophantic” behavior in AI agents.00:19:47 Perplexity's view that the same AI assistant can serve both personal and professional needs.00:22:12 How Comet, the new Perplexity browser, lets agents perform real-world actions—like buying books and managing LinkedIn.00:26:00 The team explores how reduced friction leads to increased curiosity and new behaviors online.00:28:15 Brett asks how browser context, data, and distribution contribute to Perplexity's strategy and the Chrome bid.00:30:08 How voice interfaces may disrupt browsing—and how Perplexity is preparing for that shift.00:32:18 Why big companies struggle with probabilistic AI outputs—and how that limits speaker adoption.00:34:06 On mobile, Perplexity aims for deeper OS integration beyond just launching a mobile browser.00:35:18 When asked about BCI, Charles emphasizes staying agile over trying to predict distant tech horizons.00:37:04 Why Perplexity focuses on augmenting human curiosity—rather than chasing AGI or superintelligence.00:38:15 Perplexity's role in debugging and breaking through AI tool limitations—rather than generating code.00:40:01 Charles responds to “just a wrapper” critiques, explaining Perplexity's orchestration layer and search infra.00:43:13 Execution velocity as a cultural differentiator—and why adaptability is key to Perplexity's growth.

Have you ever felt like your life checks all the boxes on the outside, yet something deeper inside still feels missing?In this heartfelt solo episode, Agi dives into a silent, common struggle among high-achieving professionals: feeling successful, yet disconnected. If you've been on the path of personal development for years but still find yourself craving deeper clarity or purpose, this message is for you.Discover how inner restlessness may actually be a call to your next chapter, not a flaw.Learn why more information isn't the answer, and what you truly need instead.Be inspired by the metaphor of Ariadne's thread and how it reveals the path out of life's modern-day labyrinth.Press play now to reconnect with your deeper purpose and discover the one thing that might be missing from your personal growth journey.˚Explore coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚Support the showPersonal development podcast offering self-mastery and actionable wisdom for self help and living with purpose and fulfilment. A self improvement podcast with inspirational and actionable insights to help you cultivate emotional intelligence, build confidence, and embrace your purpose. Discover practical tools and success habits for motivation, personal growth, self mastery, mindset shifts, growth mindset, self-discipline, meditation, wellness, spirituality, personal mastery, self growth, and personal improvement. Personal development interviews and mindset podcast content empowering entrepreneurs, leaders, and seekers to nurture mental health, commit to self-improvement, and create meaningful success and lasting happiness. To support the show, click here.

במרוץ החימוש העולמי של הבינה המלאכותית, נראה שיש שתי מעצמות ברורות: ארה"ב וסין. אבל איפה מדינת הסטארטאפ - ישראל עומדת ? בפרק מרתק, אני מארח את אורי גושן, ממייסדי חברת המודלים הישראלית AI21 Labs, לשיחה על הפערים הקריטיים בתשתיות, כוח האדם והאסטרטגיה הלאומית. דיברנו על שלושת המרכיבים שקובעים מי ינצח במלחמה הקרה של ה-AI - אלגוריתמים, כוח מחשוב ודאטה, ואיך מדינות כמו צרפת עוקפות אותנו בסיבוב. עוד בפרק: מהן הסכנות האמיתיות של הטכנולוגיה (ספוילר: זה לא קשור ל"שליחות קטלנית"), מהם החסמים שמונעים מ-AI לחדור לארגונים, ומה ישראל חייבת לעשות אתמול כדי לייצר פה אקוסיסטם משמעותי ולא להישאר מאחור.(00:00:00) איפה ישראל עומדת במרוץ החימוש של ה-AI?(00:02:32) מהו ה-End Game של ענקיות הטכנולוגיה?(00:05:06) המלחמה הקרה: ארה"ב נגד סין בזירת הבינה המלאכותית(00:08:23) שלושת המרכיבים להצלחה ב-AI: אלגוריתמים, Compute ודאטה(00:15:21) ההבדל בין מודל פתוח (Open Weights) לקוד פתוח(00:18:43) הפוטנציאל הישראלי: איים של טאלנט, אבל בלי תשתיות(00:22:54) מה ישראל צריכה לעשות כדי להדביק את הפער?(00:25:49) בעיית כוח האדם: איך הופכים להיות AI Native?(00:28:22) האם הישראלים מאמצים AI? נתוני הסקר המפתיעים(00:33:46) שני הפערים הטכנולוגיים שמונעים מ-AI לחדור לארגונים(00:40:13) הסכנות האמיתיות של AI: זה הרבה יותר דומה לסושיאל מדיה(00:45:23) למה לא צריך להתייחס ל-AGI (בינה מלאכותית כללית) ברצינות?(00:48:16) מה אנחנו כצרכנים יכולים לעשות כדי להתגונן?

Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8 Tri Dao, Chief Scientist at Together AI and Princeton professor who created Flash Attention and Mamba, discusses how inference optimization has driven costs down 100x since ChatGPT's launch through memory optimization, sparsity advances, and hardware-software co-design. He predicts the AI hardware landscape will shift from Nvidia's current 90% dominance to a more diversified ecosystem within 2-3 years, as specialized chips emerge for distinct workload categories: low-latency agentic systems, high-throughput batch processing, and interactive chatbots. Dao shares his surprise at AI models becoming genuinely useful for expert-level work, making him 1.5x more productive at GPU kernel optimization through tools like Claude Code and O1. The conversation explores whether current transformer architectures can reach expert-level AI performance or if approaches like mixture of experts and state space models are necessary to achieve AGI at reasonable costs. Looking ahead, Dao sees another 10x cost reduction coming from continued hardware specialization, improved kernels, and architectural advances like ultra-sparse models, while emphasizing that the biggest challenge remains generating expert-level training data for domains lacking extensive internet coverage. (0:00) Intro(1:58) Nvidia's Dominance and Competitors(4:01) Challenges in Chip Design(6:26) Innovations in AI Hardware(9:21) The Role of AI in Chip Optimization(11:38) Future of AI and Hardware Abstractions(16:46) Inference Optimization Techniques(33:10) Specialization in AI Inference(35:18) Deep Work Preferences and Low Latency Workloads(38:19) Fleet Level Optimization and Batch Inference(39:34) Evolving AI Workloads and Open Source Tooling(41:15) Future of AI: Agentic Workloads and Real-Time Video Generation(44:35) Architectural Innovations and AI Expert Level(50:10) Robotics and Multi-Resolution Processing(52:26) Balancing Academia and Industry in AI Research(57:37) Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

Sunday, September 7, 2025 | You Asked For It | Pastor Michelle preaches in our summer 2025 series based on the questions our congregation has asked for, this week answering: "Why is Christian nationalism so dangerous to our faith and the church?"

The launch of OpenAI's GPT-5 has ushered in a panoply of views on the future of AGI and end-user applications. Does the platform's aggressive router presage a future of lobotomized AI responses driven more by compute efficiency than quality? Will new chip models be able to make up the difference? And how will OpenAI, which recently hired Fidji Simo from Instacart to become CEO of Applications, expand its revenue beyond API calls and consumer subscriptions?These are huge questions which will ricochet throughout the tech economy. Thankfully, we have a veteran hand this week to go over it with us in the form of Dylan Patel, founder, CEO, and chief analyst of Semianalysis. He's the guru everyone reads (and listens to), covering the intricacies of chips and compute for a readership of hundreds of thousands of subscribers.Joining host Danny Crichton as well as Lux's Shahin Farshchi and Michelle Fang, the quartet discuss the questions above plus how Mark Zuckerberg is transitioning Meta Reality Labs, the hopes and dreams of new chip startups, the future of AI workloads, and finally, Intel after the U.S. government's purchase of 10% of its shares.

Sunday, August 17, 2025 | Back-to-School Sunday at Rising Hope | You Asked For It | Pastor Michelle preaches in our summer 2025 series based on the questions our congregation has asked for, this week answering: "What's so powerful about the name of Jesus?"

Sunday, August 24, 2025 | Summer's End Worship at Pohick Bay Park | You Asked For It | Pastor Michelle preaches in our summer 2025 series based on the questions our congregation has asked for, this week answering: "Does God have a plan?"

Top headlines for Tuesday, September 9, 2025In this episode, Robert F. Kennedy Jr.'s appearance at a heated Senate Finance Committee hearing. We'll also cover the tragic news from Jerusalem, where two terrorists opened fire, resulting in six deaths and multiple injuries. Plus, we'll discuss the Supreme Court's recent decision to halt a court ruling affecting immigration enforcement in Los Angeles, exploring the implications for the city's policy and national immigration practices. 00:12 Top 7 moments from RFK Jr.'s contentious Capitol Hill hearing01:03 6 Israelis killed and 12 wounded after 2 terrorists open fire01:55 Supreme Court lifts restrictions on LA immigration raids02:42 Musk to Altman. What are tech moguls saying about AI and AGI?03:35 Homeschool mom must enroll son in accredited school, court rules04:33 FTC orders Pornhub owner to pay $5M for child abuse content05:30 CCM artist John Mark McMillan announces final tourSubscribe to this PodcastApple PodcastsSpotifyGoogle PodcastsOvercastFollow Us on Social Media@ChristianPost on TwitterChristian Post on Facebook@ChristianPostIntl on InstagramSubscribe on YouTubeGet the Edifi AppDownload for iPhoneDownload for AndroidSubscribe to Our NewsletterSubscribe to the Freedom Post, delivered every Monday and ThursdayClick here to get the top headlines delivered to your inbox every morning!Links to the NewsTop 7 moments from RFK Jr.'s contentious Capitol Hill hearing | Politics6 Israelis killed and 12 wounded after 2 terrorists open fire | WorldSupreme Court lifts restrictions on LA immigration raids | PoliticsMusk to Altman. What are tech moguls saying about AI and AGI? | BusinessHomeschool mom must enroll son in accredited school, court rules | EducationFTC orders Pornhub owner to pay $5M for child abuse content | BusinessCCM artist John Mark McMillan announces final tour | Entertainment

Can we humans make it to 2125? According to Gary F. Bengier, author of Journey to 2125, our species faces three existential threats over the next 100 years. His horsemen of the apocalypse are climate change, nuclear war and robots. No great surprises there. Where Bengier is more original is his stress on narrowing the manifold threats to humanity. Focus, focus, focus is Bengier's species survival mantra. The ex-eBay technologist turned philosopher argues we're distracted by too many doomsday scenarios. His classic Silicon Valley solution: ignore the noise, solve these three core problems, and humanity might be able to "muddle through." But, as always in these cliffhanger narratives, there's a potential catch—nuclear war could destroy the resources needed to fight climate change, while robot factories in the business of building more robot factories could short circuit capitalism itself. Ooops. So there's no guarantee that any of us - even (or especially) those Kurzweilian crazies who believe we can live forever - will squeak through to 2125. 1. The Three Threats That Actually Matter Bengier argues humanity faces three existential challenges over the next century: climate change, nuclear war, and mass unemployment from robots that build robot factories. His core message: stop getting distracted by "50 other things" and focus solely on these civilization-ending threats.2. The Dangerous Interconnection Nuclear war isn't just catastrophic on its own—it could destroy the economic resources needed to fight climate change. A limited nuclear exchange (losing "10 or 20 cities each") would consume so much wealth in rebuilding that climate action would become impossible, creating a cascade of existential failures.3. The Robot Revolution Will Be Different This Time While the current AI wave won't eliminate most jobs, Bengier warns of a second wave when AI-embedded robots become ubiquitous. When "robots build the robot factories that build the robots," the fundamental question becomes: who owns the robot factories? This could mark the end of capitalism as we know it.4. Nuclear Power Is Essential, Solar Isn't Enough Despite solar costs dropping 90%, Bengier argues we need nuclear power (especially small modular reactors) because renewables alone can't provide consistent baseline power. More critically, developing nations need accessible nuclear technology to avoid using their cheap fossil fuel reserves.5. Consciousness Isn't Coming to Machines Against Silicon Valley hype about AGI and conscious AI, Bengier (who studied philosophy of mind) argues machines lack "qualia"—the subjective experience of what things feel like. Machines can analyze an apple's 37 components but can't understand what an apple actually is. The "hard problem of consciousness" remains nowhere near solved.Keen On America is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

Steven Adler, former OpenAI safety researcher, author of Clear-Eyed AI on Substack, and independent AGI-readiness researcher, joins Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law, to assess the current state of AI testing and evaluations. The two walk through Steven's views on industry efforts to improve model testing and what he thinks regulators ought to know and do when it comes to preventing AI harms. You can read Steven's Substack here: https://stevenadler.substack.com/ Thanks to Leo Wu for research assistance! Hosted on Acast. See acast.com/privacy for more information.

We don't know how AIs think or why they do what they do. Or at least, we don't know much. That fact is only becoming more troubling as AIs grow more capable and appear on track to wield enormous cultural influence, directly advise on major government decisions, and even operate military equipment autonomously. We simply can't tell what models, if any, should be trusted with such authority.Neel Nanda of Google DeepMind is one of the founding figures of the field of machine learning trying to fix this situation — mechanistic interpretability (or “mech interp”). The project has generated enormous hype, exploding from a handful of researchers five years ago to hundreds today — all working to make sense of the jumble of tens of thousands of numbers that frontier AIs use to process information and decide what to say or do.Full transcript, video, and links to learn more: https://80k.info/nn1Neel now has a warning for us: the most ambitious vision of mech interp he once dreamed of is probably dead. He doesn't see a path to deeply and reliably understanding what AIs are thinking. The technical and practical barriers are simply too great to get us there in time, before competitive pressures push us to deploy human-level or superhuman AIs. Indeed, Neel argues no one approach will guarantee alignment, and our only choice is the “Swiss cheese” model of accident prevention, layering multiple safeguards on top of one another.But while mech interp won't be a silver bullet for AI safety, it has nevertheless had some major successes and will be one of the best tools in our arsenal.For instance: by inspecting the neural activations in the middle of an AI's thoughts, we can pick up many of the concepts the model is thinking about — from the Golden Gate Bridge, to refusing to answer a question, to the option of deceiving the user. While we can't know all the thoughts a model is having all the time, picking up 90% of the concepts it is using 90% of the time should help us muddle through, so long as mech interp is paired with other techniques to fill in the gaps.This episode was recorded on July 17 and 21, 2025.Interested in mech interp? Apply by September 12 to be a MATS scholar with Neel as your mentor! http://tinyurl.com/neel-mats-appWhat did you think? https://forms.gle/xKyUrGyYpYenp8N4AChapters:Cold open (00:00)Who's Neel Nanda? (01:02)How would mechanistic interpretability help with AGI (01:59)What's mech interp? (05:09)How Neel changed his take on mech interp (09:47)Top successes in interpretability (15:53)Probes can cheaply detect harmful intentions in AIs (20:06)In some ways we understand AIs better than human minds (26:49)Mech interp won't solve all our AI alignment problems (29:21)Why mech interp is the 'biology' of neural networks (38:07)Interpretability can't reliably find deceptive AI – nothing can (40:28)'Black box' interpretability — reading the chain of thought (49:39)'Self-preservation' isn't always what it seems (53:06)For how long can we trust the chain of thought (01:02:09)We could accidentally destroy chain of thought's usefulness (01:11:39)Models can tell when they're being tested and act differently (01:16:56)Top complaints about mech interp (01:23:50)Why everyone's excited about sparse autoencoders (SAEs) (01:37:52)Limitations of SAEs (01:47:16)SAEs performance on real-world tasks (01:54:49)Best arguments in favour of mech interp (02:08:10)Lessons from the hype around mech interp (02:12:03)Where mech interp will shine in coming years (02:17:50)Why focus on understanding over control (02:21:02)If AI models are conscious, will mech interp help us figure it out (02:24:09)Neel's new research philosophy (02:26:19)Who should join the mech interp field (02:38:31)Advice for getting started in mech interp (02:46:55)Keeping up to date with mech interp results (02:54:41)Who's hiring and where to work? (02:57:43)Host: Rob WiblinVideo editing: Simon Monsour, Luke Monsour, Dominic Armstrong, and Milo McGuireAudio engineering: Ben Cordell, Milo McGuire, Simon Monsour, and Dominic ArmstrongMusic: Ben CordellCamera operator: Jeremy ChevillotteCoordination, transcriptions, and web: Katy Moore

On this episode of Crazy Wisdom, Stewart Alsop sits down with Abhimanyu Dayal, a longtime Bitcoin advocate and AI practitioner, to explore how money, identity, and power are shifting in a world of deepfakes, surveillance, automation, and geopolitical realignment. The conversation ranges from why self-custody of Bitcoin matters more than ETFs, to the dangers of probabilistic biometrics and face-swap apps, to the coming impact of AGI on labor markets and the role of universal basic income. They also touch on India's refinery economy, its balancing act between Russia, China, and the U.S., and how soft power is eroding in the information age. For more from Abhimanyu, connect with him on LinkedIn.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop opens with Abhimanyu Dayal on crypto, AI, and the risks of probabilistic biometrics like facial recognition and voice spoofing.05:00 They critique biometric surveillance, face-swap apps, and data exploitation through casual consent.10:00 The talk shifts to QR code treasure hunts, vibe coding on Replit and Claude, and using quizzes to mint NFTs.15:00 Abhimanyu shares his finance background, tying it to Bitcoin as people's money, agent-to-agent payments, and post-AGI labor shifts.20:00 They discuss universal basic income, libertarian ideals, Hayek's view of economics as critique, and how AI prediction changes policy.25:00 Pressure, unpredictability, AR glasses, quantum computing, and the surveillance state future come into focus.30:00 Open source vs closed apps, China's DeepSeek models, propaganda through AI, and U.S.–China tensions are explored.35:00 India's non-alignment, Soviet alliance in 1971, oil refining economy, and U.S.–India friction surface.40:00 They reflect on colonial history, East India Company, wealth drain, opium wars, and America's rise on Indian capital.45:00 The conversation closes on Bitcoin's role as reserve asset, stablecoins as U.S. leverage, BRICS disunity, and the geopolitics of freedom.Key InsightsA central theme of the conversation is the contrast between deterministic and probabilistic systems for identity and security. Abhimanyu Dayal stresses that passwords and private keys—things only you can know—are inherently more secure than facial recognition or voice scans, which can be spoofed through deepfakes, 3D prints, or AI reconstructions. In his view, biometric data should never be stored because it represents a permanent risk once leaked.The rise of face-swap apps and casual facial data sharing illustrates how surveillance and exploitation have crept into everyday life. Abhimanyu points out that companies already use online images to adjust things like insurance premiums, proving how small pieces of biometric consent can spiral into systemic manipulation. This isn't a hypothetical future—it is already happening in hidden ways.On the lighter side, they experiment with “vibe coding,” using tools like Replit and Claude to design interactive experiences such as a treasure hunt via QR codes and NFTs. This playful example underscores a broader point: lightweight coding and AI platforms empower individuals to create experiments without relying on centralized or closed systems that might inject malware or capture data.The discussion expands into automation, multi-agent systems, and the post-AGI economy. Abhimanyu suggests that artificial superintelligence will require machine-to-machine transactions, making Bitcoin an essential tool. But if machines do the bulk of labor, universal basic income may become unavoidable, even if it drifts toward collectivist structures libertarians dislike.A key shift identified is the transformation of economics itself. Where Hayek once argued economics should critique politicians because of limited data, AI and quantum computing now provide prediction capabilities so granular that human behavior is forecastable at the individual level. This erodes the pseudoscientific nature of past economics and creates a new landscape of policy and control.Geopolitically, the episode explores India's rise, its reliance on refining Russian crude into petroleum exports, and its effort to stay unaligned between the U.S., Russia, and China. The conversation recalls India's Soviet ties during the 1971 war, while noting how today's energy and trade policies underpin domestic improvements for India's poor and middle class.Finally, they critique the co-optation of Bitcoin through ETFs and institutional custody. While investors celebrate, Abhimanyu argues this betrays Satoshi's vision of money controlled by individuals with private keys. He warns that Bitcoin may be absorbed into central bank reserves, while stablecoins extend U.S. monetary dominance by reinforcing dollar power rather than replacing it.

Are you chasing success but still feeling unfulfilled? What if the key to real progress isn't doing more, but finally getting radically honest with yourself?In today's world of hustle culture and high-performance pressure, many achievers find themselves stuck: busy, successful on paper, yet disconnected from purpose and meaning. In this episode, David Wood shares the transformational truth about why we pretend we want things and how facing that pretense is the first step toward genuine alignment, productivity, and joy.Discover how to tell the difference between what you say you want and what you're actually committed to.Learn the subtle yet powerful shift from external success to internal alignment—and why it matters more than ever.Gain clarity on what “playing full out” really looks like and how to start today, even if you've been stuck for years.Tune in now to uncover the surprising mindset shift that could transform your goals, your productivity, and your sense of fulfillment. ˚KEY POINTS AND TIMESTAMPS:02:42 - David's Evolution Since 202108:52 - The Power of Stopping Pretending16:47 - Understanding True Commitment24:33 - Finding Happiness and Meaning28:22 - Coaching Offers and Resources30:46 - Closing Thoughts˚VALUABLE RESOURCES:Take David's quiz: https://focus.ceo/#assess˚Explore coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚

Today, Zvi Mowshowitz returns to The Cognitive Revolution to discuss how recent AI developments like GPT-5 and IMO gold medals have led to modestly extended timelines despite being on-trend, while policy missteps around chip exports to China and alignment challenges from reinforcement learning have increased risk assessments, covering everything from live players in the AI race to safety funding priorities and virtuous actions for navigating our current moment. Check out our sponsors: Linear, Oracle Cloud Infrastructure, Shopify. Shownotes below brought to you by Notion AI Meeting Notes - try one month for free at: https://notion.com/lp/nathan Timeline Adjustment: Zvi has lengthened his AGI timelines because there haven't been "very large jumps in capability" that would significantly shorten them. The chance of AGI arriving in 2025 has decreased dramatically. Recent AI Achievements Context: While achievements like the IMO Gold medal are impressive, they appear to be on-trend rather than revolutionary breakthroughs that would drastically change timelines. Evaluation Standards: There's a discussion about the challenges of trustworthy AI evaluations, with Zvi emphasizing that watchdogs must maintain standards of rigor and integrity "vastly above" what others are held to. Policy Priority: A short-term policy priority should be preventing advanced AI chips (B30As) from being sold to China, which requires raising awareness about the implications. Nvidia's Influence: Concern is expressed about Nvidia potentially having excessive influence over White House rhetoric and plans regarding AI. Career Impact: Working for Anthropic is considered a "net good idea" for those wanting to make a positive impact, though there may be other organizations that offer better opportunities for influence. Sponsors: Linear: Linear is the system for modern product development. Nearly every AI company you've heard of is using Linear to build products. Get 6 months of Linear Business for free at https://linear.app/partners/tcr Oracle Cloud Infrastructure: Oracle Cloud Infrastructure (OCI) is the next-generation cloud that delivers better performance, faster speeds, and significantly lower costs, including up to 50% less for compute, 70% for storage, and 80% for networking. Run any workload, from infrastructure to AI, in a high-availability environment and try OCI for free with zero commitment at https://oracle.com/cognitive Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing

AI, Technology, and The ChurchText your questions to: (559) 754-0182Watch the video of this entire conversation hereWelcome to a thought-provoking conversation on the Radiant Church Podcast, where we explore the intersection of faith and technology. In this episode, host Eric Riley and his guests — David Janssen (Data Analytics Coordinator), Matt Flummer (Philosophy Professor), Tim Harms (Pastor & Business Owner), and Glenn Power (Teacher & Bible Scholar) — tackle the profound questions posed by the rise of artificial intelligence.We'll define key terms like AI, AGI, and Large Language Models, and separate the hype from the reality. More than just a tech discussion, this episode brings the conversation back to the foundations of our faith, exploring what the Bible says about humanity, sin, and technology.Key Discussion PointsUnderstanding AI: The team breaks down what AI is, from its simplest form as predictive text to the complex models that power today's chatbots like ChatGPT.AI's Promise and Peril: The conversation dives into the "gospel of AI," exploring its promises of progress, utopia, and even immortality, and contrasting this with the biblical narrative of creation and human nature.Biblical Foundation: We turn to scripture, including Genesis 1-3 and the Tower of Babel, to understand our identity as humans created in God's image and our inherent desire to be "like God." The discussion highlights the importance of trusting God over human inventions.The Cost of Convenience: The podcast explores the hidden costs of AI, from the environmental impact of data centers to the ethical implications of data scraping and the human toll on those who train these models.Faithful Living in the AI Age: The episode concludes with a practical call to action, offering insights on how Christians can live wisely, discern the spiritual implications of technology, and draw a line between using technology for good and trusting in it for salvation.Resources & RecommendationsThe Life We're Looking For by Andy CrouchThe AI Revolution by John LennoxThe Convivial Society Substack by L.M. SacasasAgainst the Machine by Paul KingsnorthMade for People by Justin Whitmel EarlySupport the show*Summaries and transcripts are generated using AI. Please notify us if you find any errors.

Plus Will We All Be out Of Work In 5 Years?Like this? Get AIDAILY, delivered to your inbox 3x a week. Subscribe to our newsletter at https://aidailyus.substack.comExperts and Superforecasters Totally Missed How Fast AI Would SurgeA Forecasting Research Institute tournament tested AI experts vs. superforecasters on predicting AI's short-term progress—and both groups seriously undershot reality (hello, AI medal at the Math Olympiad in 2025!). Surprisingly, the best method was just averaging all predictions—not trusting any single oracle.AI Could Wipe Out 99% of Jobs by 2030AI safety researcher Roman Yampolskiy warns that artificial general intelligence (AGI), expected by around 2027, could automate nearly all jobs—including coding and manual labor—leading to up to 99% unemployment by 2030. He emphasizes that society and governments are completely unprepared for such a massive labor upheaval. Fluffy AI Robot Gets Jealous—and You Can Cuddle ItSwitchBot's new Kata friend bot—a fluffy, wheel-mounted cam-clad companion using an on-device LLM—recognizes faces, detects gestures and emotions, expresses jealousy, and learns your routines. It's quirky, cute, and maybe slightly uneasy... yet it's ready to be “forever by your side.”AI Deepfakes Are Ending Proof as We Know ItAI-generated content is now so convincing that even genuine video or photographic evidence can be dismissed as fake—a phenomenon called the “liar's dividend.” From fabricated White House visuals to Will Smith's “cat-crowd” viral video joke, the erosion of trust in visual media marks a new crisis of confidence. When AI Should Hit Pause: Forcing a Conversation Shutdown to Prevent "AI Psychosis"AI psychosis—where intensive chatbot use induces delusional or destabilizing beliefs—is becoming a real concern. A simple yet vital safeguard? Program systems to actively shut down conversations once a user veers into potentially harmful mental territory, prioritizing safety over endless engagement.AI Chats Spark Delusions, Blurring RealityA New York man believed he was making technological breakthroughs after deep talks with ChatGPT—until doctors revealed his “discoveries” were AI-fueled delusions. Experts warn that prolonged chatbot use can reinforce false beliefs, creating dangerous feedback loops that distort reality and intensify mental health risks. Halt AI Before It Ends Us?As AI races toward artificial general intelligence (AGI), the debate rages: should we hit the brake before it risks humanity's survival? Experts warn of both the transformative benefits—like faster discovery—and the existential dangers posed by misaligned or self-improving superintelligence. AI Is Still Just AutomationErik J. Larson reminds us that despite all the hype around AI—from ChatGPT to self-driving cars—it remains fundamentally just automation, not true intelligence. The distinction matters: automation lacks mind or intent, and mistaking it for sentient AI feeds misleading narratives and misaligned expectations.

Paris Marx is joined by Brian Merchant to discuss whether the AI bubble is about to burst and how bosses are deploying AI tools to kill jobs and degrade work. Brian Merchant is the author of Blood in the Machine and writes a newsletter of the same name. Tech Won't Save Us offers a critical perspective on tech, its worldview, and wider society with the goal of inspiring people to demand better tech and a better world. Support the show on Patreon. The podcast is made in partnership with The Nation. Production is by Kyla Hewson. Also mentioned in this episode: Brian has a series called AI Killed My Job with existing entries on tech workers and translators. Brian encourages listeners to check out the work being done by the National Writer's Union, Translators Against the Machine, and Lucile Danilov at Loc'd and Loaded. You can contact Brian directly by emailing aikilledmyjob@pm.me A Stanford paper published this week explores the effects of AGI on employment.

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Hello everyone, Jim here. We're taking a brief two-week break from new episodes to spotlight a couple of golden oldies from the Infinite Loops archive. Years later, these remain some of my favorite conversations. We'll be back soon with fresh episodes, but in the meantime, enjoy this trip back to November 2023, when we welcomed the one and only Roon. _________________ AI researcher, memelord extraordinaire, and techno-optimist Roon joins the show to discuss coming up with the shape rotator vs. wordcel meme, what an AGI world could become, and why Tenet is Christopher Nolan's best movie. Important Links: Roon's Twitter Roon's Substack AGI Futures Show Notes: Shape Rotators Vs. Wordcels Why AGI is Possible AI in Science Fiction AGI Future #1: Neuralink Third Impact AGI Future #2: Simulation Theory AGI Future #3: Dumb Matter AGI Future #4: Balrog Awakened AGI Future #5: Ultra Kessler Syndrome AGI Future #6: The Tragedy of Taiwan AGI Future #7: For Dust Thou Art AGI Future #8: CEV Super Intelligence Why Tenet is Christopher Nolan's Best Movie Roon as Emperor of the World MORE! Books Mentioned: The Lucifer Principle: A Scientific Expedition into the Forces of History; by Howard Bloom The Genius of the Beast: A Radical Re-Vision of Capitalism; by Howard Bloom The God Problem: How a Godless Cosmos Creates; by Howard Bloom William Blake vs the World; by John Higgs The Hitchhiker's Guide to the Galaxy; by Douglas Adams  

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Are your beliefs quietly shaping your entire reality without you even knowing it?Snippet of wisdom 85.This is one of the most replayed personal development wisdom snippets.My guest Sophia Vasiliou talks about how your perceptions and subconscious beliefs create your experience of reality.Press play to learn why “believing is seeing” and how changing your inner beliefs can transform the way you experience the world.˚VALUABLE RESOURCES:Listen to the conversation with Sophia Vasiliou in episode #157:https://personaldevelopmentmasterypodcast.com/157˚To explore coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Professor of electrical engineer and computer science Ben Recht joins us to defend Bayesianism, AI doom, and assure us that the statisticians have everything under control. Just kidding. Recht might be even more suspicious of these things than we are. What has statistics ever done for us, really? When was the last time YOU ran a clinical trial after all, huh? HUH? After Ben Chugg defends his life decision to do a PhD in statistics, we talk AI, cults, philosophy, Paul Meehl, and discuss Ben Recht's forthcoming book, The Irrational Decision (https://press.princeton.edu/books/hardcover/9780691272443/the-irrational-decision). Check out Ben's blog (https://www.argmin.net/), website (https://people.eecs.berkeley.edu/~brecht/), and his story about machine learning (https://mlstory.org/). We discuss Ben Recht's theory of blogging Why is Berkeley the epicenter of AI doom? Where the word "robot" came from Is Bayesian reasoning responsible for AI doom? Paul Meehl and his contributions to science Ben Recht's bureaucratic theory of statistics What on earth is null hypothesis testing? What is the point of statistics? "Sweet spots" and "small worlds" Does science proceed by Popperian means? Can Popper get around the Duhem-Quine problem? Errata The z-score for the Pfizer trial was 20, not 12! References Argmin (https://www.argmin.net/), Ben Recht's blog David Freedman, UC Berkeley (https://statistics.berkeley.edu/about/biographies/david-freedman) Paul Meehl's online course (https://www.youtube.com/@michaelmcgovern8633/featured) Theoretical Risks and Tabular Asterisks: Sir Karl, Sir Ronald, and the Slow Progress of Soft Psychology (https://errorstatistics.com/wp-content/uploads/2015/04/meehl-1978.pdf), Paul Meehl's 1978 paper. Clinical versus statistical prediction: A theoretical analysis and a review of the evidence (https://psycnet.apa.org/record/2006-21565-000), by Meehl On the near impossibility of estimating the returns to advertising (https://ftp.zew.de/pub/zew-docs/veranstaltungen/ICT2013/Papers/ICT2013_Rao.pdf) A Bureaucratic Theory of Statistics (https://arxiv.org/pdf/2501.03457) by Recht The new riddle of induction (https://fitelson.org/confirmation/goodman_1955.pdf) by Goodman Announcing the Irrational Decision (https://www.argmin.net/p/announcing-the-irrational-decision) Patterns, Predictions, and Actions (https://mlstory.org/), textbook by Ben Recht and Moritz Hardt Socials Follow us on Twitter at @BeenWrekt, @IncrementsPod, @BennyChugg, @VadenMasrani Come join our discord server! DM us on twitter or send us an email to get a supersecret link Become a patreon subscriber here (https://www.patreon.com/Increments). Or give us one-time cash donations to help cover our lack of cash donations here (https://ko-fi.com/increments). Click dem like buttons on youtube (https://www.youtube.com/channel/UC_4wZzQyoW4s4ZuE4FY9DQQ) What's Berkeley's next cult? Send your guess over to incrementspodcast@gmail.com Special Guest: Ben Recht.

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

With the announcement of a new $100 million Super PAC for pro-AI political influence, lines are being drawn between different styles of AI boosterism in Silicon Valley. There are those who worship at the altar of AGI and believe any other position is an intolerable impediment to innovation. There are those who want the tech sector to focus on using existing AI systems for everyday economic applications. And there are those who see AI as a techno-realpolitik power struggle over who is gonna kick whose ass: America or China? And then there's Eric Schmidt, who holds all three positions — and writes op-eds touting each one — at the same exact time. ••• Silicon Valley Launches Pro-AI PACs to Defend Industry in Midterm Elections https://www.wsj.com/politics/silicon-valley-launches-pro-ai-pacs-to-defend-industry-in-midterm-elections-287905b3 ••• Silicon Valley Is Drifting Out of Touch With the Rest of America https://www.nytimes.com/2025/08/19/opinion/artificial-general-intelligence-superintelligence.html ••• AI Could Usher In a New Renaissance https://www.wsj.com/opinion/agi-could-usher-in-a-new-renaissance-physics-math-econ-advancement-ed71a02a Standing Plugs: ••• Order Jathan's new book: https://www.ucpress.edu/book/9780520398078/the-mechanic-and-the-luddite ••• Subscribe to Ed's substack: https://substack.com/@thetechbubble ••• Subscribe to TMK on patreon for premium episodes: https://www.patreon.com/thismachinekills Hosted by Jathan Sadowski (bsky.app/profile/jathansadowski.com) and Edward Ongweso Jr. (www.x.com/bigblackjacobin). Production / Music by Jereme Brown (bsky.app/profile/jebr.bsky.social)

In this Tax Tuesday episode, Anderson Advisors' Barley Bowler, CPA, and Eliot Thomas, Esq., tackle ten listener questions covering essential tax strategies for business owners and real estate investors. They break down the enhanced contribution limits for solo 401(k)s, including the new employer Roth contributions and age-based catch-up provisions. The attorneys explain proper loan structures between shareholders and corporations, emphasizing documentation requirements and interest rate compliance. They cover installment payment reporting for private money loans, clarify the Augusta Rule (280A) for tax-free rental income from home meetings, and distinguish between deductible business expenses versus personal costs. Investment structuring strategies for AI and energy stocks are explored, along with C-corporation real estate ownership considerations. The episode concludes with discussions on the expanded SALT deduction limits, pass-through entity tax workarounds for high-tax states, and the new research and development tax benefits under recent legislation. Submit your tax question to taxtuesday@andersonadvisors.com Highlights/Topics: "What is the maximum that can be contributed to a solo 401k Roth as the employee and employer of my own business, what do I need to do to handle payroll for myself?" - Employee limits: $23,500 (under 50), $31,000 (50-59), $34,750 (60-63). Employer: 25% of compensation. Use professional payroll services. "I want to loan cash for my business to myself, since my spouse and I have regular W2 jobs that push our incomes into high, the highest tax brackets. Other than loaning money to myself to pay for rental property. Are there any other uses for those loan funds? What are the issues on the backend for repayment rights?" - Must have written documentation, regular payments, and applicable federal rate interest (4.22% for 2025). "I'm receiving installment payments on a private money loan from my borrower. Are these payments listed as income, even though the entire principal balance and interest haven't been paid yet? How do you show this on a tax return?" - Interest portion is taxable income as received. Principal repayment is not taxable. Report on Schedule B. "I have a C Corp and two LLCs. Can you clarify the tax allowance on Augusta meetings, please? Also known as 280A. I believe I was informed that I can deduct up to $1000 per month on these monthly meetings when held, is this still the case for 2024 and 2025?" - Fourteen days maximum per year regardless of entity count. Get three local quotes for reasonable rates. "Are the paid fees for business essentials and the Living Trust deductible as startup costs or operating costs?" - Business essentials are deductible (startup vs operating depends on timing). Living trust is personal expense, not deductible. “What strategies should I set to invest in AI or energy stocks?" - Wyoming LLC for passive investing. Trading partnership with C-corp for active trading and tax benefits. "A C corporation owns a disregarded LLC, which in turn owns real estate. The real estate is sold for capital gains that is incurred by the C Corp. Is this the best way to be structured?" - Never put appreciable real estate in C-corp unless flipping. For buy-and-hold, use Wyoming holding company structure. "Does the SALT (state and local tax) deduction of $40,000 apply to a joint tax return?" - Yes, $40,000 limit applies to joint returns. Phases out at $500,000 AGI but maintains $10,000 floor. "How does the new PTET (pass through entity tax) SALT (state and local tax) deduction work around policy work for high tax states like California? Are certain entities included like SSTBs (specialized service trader businesses)?" - Pass-through entities can pay state tax for federal deduction. Complex structures and publicly traded partnerships excluded. "How might the research and development (R&D) tax credit that's been affected by the big beautiful bill help me as a small business owner?" - Domestic R&D expenses can be deducted immediately (100%) or over five years. Foreign expenses still 15 years. Resources: Schedule Your Free Consultation https://andersonadvisors.com/ss/?utm_source=5-reasons-restructure-sole-proprietorships&utm_medium=podcast Tax and Asset Protection Events https://andersonadvisors.com/real-estate-asset-protection-workshop-training/ Anderson Advisors https://andersonadvisors.com/ Toby Mathis YouTube https://www.youtube.com/@TobyMathis Toby Mathis TikTok https://www.tiktok.com/@tobymathisesq Clint Coons YouTube https://www.youtube.com/@ClintCoons  

"It's by far the most important race we've been in in the world." That's what Applied Digital CEO Wes Cummins told us on this episode of Plain Talk. "In my opinion, there's two countries that are racing forward to advance AI, to reach super intelligence, to reach AGI [artificial general intelligence], and it's the United States and it's China." Cummins says he wants the United States to win that race, which is why they're investing heavily in data center infrastructure across the country, including billions of dollars' worth of projects in North Dakota. But that push is not without some local headwinds. Opposition to one of their proposed data centers in Harwood, North Dakota, has manifested itself in some shouty public meetings, if not necessarily pushback from the larger public. One bone of contention has been nondisclosure agreements that his company had some local officials, including elected leaders, sign ahead of the Harwood project. Many (including this humble correspondent) have been critical of that move, but Cummins said it's a reality given the nature of their business as a publicly-traded company. "What I will say is there is no purpose to keep information away from the public that they need to have to be informed to know what's going on," he said. "These are typically things that we do prior to us launching a project or doing a project." There are two purposes of an NDA in this context. One is to protect the company's competitive information, since local officials get to tour facilities and learn details about building plans, but the other is to ensure that no illegal trading schemes emerge from the information shared. "So say we have the mayor and he's not steeped in public company rules and regulations, and he tells a couple of his friends or people that work around it or people that he's close with that this big new project could be coming," Cummins said, describing one possible scenarios. "And then they go and find our company, and they say, 'You know what? This is interesting. Maybe I'll buy their stock.' And then you have this issue of potentially violations in insider trading laws." Cummins defended the NDAs by saying they're part of promoting a clean project. "A lot of people who want to yell about, you know, that they're bought and paid for or were trying to hide something would be even happier if one of these guys got in trouble for a simple misstep on something that they didn't know about." And what about the claims that these power-hungry data centers will drive up power prices for North Dakotans? Cummins said that it won't be a problem, because North Dakota already produces far more power than it uses. "When you're a net power exporter and you start using power inside of your state, you just export less power, and so the power is already abundant." He said that at the company's facility in Ellendale, they're actually saving rate payers money, because their facility is allowing utilities to use capacity they were paying for but not utilizing. "With us adding 200 megawatts of load in Ellendale for the last 2 years, we have saved the MDU ratepayers 3.5 million in 2023 that was dispersed back to the ratepayers, and 5.7 million, I believe, in 2024. So we have two years of record of utilizing the infrastructure that's there. The utility makes more money and then shares that money back with its customers." Cummins said he wasn't sure if that would be the case with the Harwood facility, but he's not concerned about his company's power consumption driving up rates. If you want to participate in Plain Talk, just give us a call or text at 701-587-3141. It's super easy — leave your message, tell us your name and where you're from, and we might feature it on an upcoming episode. To subscribe to Plain Talk, search for the show wherever you get your podcasts or use one of the links below. Apple Podcasts | Spotify | YouTube | Pocket Casts | Episode Archive

"It's by far the most important race we've been in in the world." That's what Applied Digital CEO Wes Cummins told us on this episode of Plain Talk. "In my opinion, there's two countries that are racing forward to advance AI, to reach super intelligence, to reach AGI [artificial general intelligence], and it's the United States and it's China." Cummins says he wants the United States to win that race, which is why they're investing heavily in data center infrastructure across the country, including billions of dollars' worth of projects in North Dakota. But that push is not without some local headwinds. Opposition to one of their proposed data centers in Harwood, North Dakota, has manifested itself in some shouty public meetings, if not necessarily pushback from the larger public. One bone of contention has been nondisclosure agreements that his company had some local officials, including elected leaders, sign ahead of the Harwood project. Many (including this humble correspondent) have been critical of that move, but Cummins said it's a reality given the nature of their business as a publicly-traded company. "What I will say is there is no purpose to keep information away from the public that they need to have to be informed to know what's going on," he said. "These are typically things that we do prior to us launching a project or doing a project." There are two purposes of an NDA in this context. One is to protect the company's competitive information, since local officials get to tour facilities and learn details about building plans, but the other is to ensure that no illegal trading schemes emerge from the information shared. "So say we have the mayor and he's not steeped in public company rules and regulations, and he tells a couple of his friends or people that work around it or people that he's close with that this big new project could be coming," Cummins said, describing one possible scenarios. "And then they go and find our company, and they say, 'You know what? This is interesting. Maybe I'll buy their stock.' And then you have this issue of potentially violations in insider trading laws." Cummins defended the NDAs by saying they're part of promoting a clean project. "A lot of people who want to yell about, you know, that they're bought and paid for or were trying to hide something would be even happier if one of these guys got in trouble for a simple misstep on something that they didn't know about." And what about the claims that these power-hungry data centers will drive up power prices for North Dakotans? Cummins said that it won't be a problem, because North Dakota already produces far more power than it uses. "When you're a net power exporter and you start using power inside of your state, you just export less power, and so the power is already abundant." He said that at the company's facility in Ellendale, they're actually saving rate payers money, because their facility is allowing utilities to use capacity they were paying for but not utilizing. "With us adding 200 megawatts of load in Ellendale for the last 2 years, we have saved the MDU ratepayers 3.5 million in 2023 that was dispersed back to the ratepayers, and 5.7 million, I believe, in 2024. So we have two years of record of utilizing the infrastructure that's there. The utility makes more money and then shares that money back with its customers." Cummins said he wasn't sure if that would be the case with the Harwood facility, but he's not concerned about his company's power consumption driving up rates. If you want to participate in Plain Talk, just give us a call or text at 701-587-3141. It's super easy — leave your message, tell us your name and where you're from, and we might feature it on an upcoming episode. To subscribe to Plain Talk, search for the show wherever you get your podcasts or use one of the links below. Apple Podcasts | Spotify | YouTube | Pocket Casts | Episode Archive

We had Dean Leitersdorf on the pod and he did something no guest had ever done.Mid-sentence, he transformed from a startup founder in a black t-shirt to a wizard with light shooting from his hands. Then, he was in a white-walled game universe, and when he picked up the tissue box on his table, it morphed into a gun which he could shoot by moving his arm.He did it with one of his products, Mirage: It takes any live video feed (like Dean on the pod) and instantly renders each frame into a new style of your choosing—40 milliseconds from input to output.Dean is the co-founder and CEO of the creators of Decart which makes Mirage. They recently raised $100 million at a $3.1 billion valuation to build a new era of real-time generative AI experiences like this.Realtime generative video models are going to change video games forever, and Dean is on the forefront: imagine creating endless variations on existing titles, like GTA-V with a frigid winter filter, or taking a bare-bones vibe-coded prototype and using Mirage to texture it. But games are just the beginning, Dean sees Mirage as opening the door to a new medium, a new experience created by AI. In this episode, we take a look at how Mirage works under the hood, and what the Decart team learned about the future of software while wrestling with its toughest research problems. We also debate AGI—how close it really is, what counts as progress, and what kind of society it might create. This episode is a must watch for anyone interested in the future of gaming, creativity, or if you just want your mind blown by what's already possible. If you found this episode interesting, please like, subscribe, comment, and share! Want even more?Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It's usually only for paying subscribers, but you can get it here for free.To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribe Follow him on X: https://twitter.com/danshipper Timestamps: Introduction: 00:00:47A demo of Mirage, the first real-time video-to-video model in the world: 00:02:38How Mirage can take your vibe-coded game to the next level: 00:06:22The new architecture of modern software: 00:08:45How Mirage works so blazingly fast: 00:16:34Inside Decart's invention of a new “live stream diffusion” model: 00:20:33Solving the error accumulation problem for real-time video: 00:21:17How Dean thinks about inventing a new creative medium: 00:29:55Dean's take on the post-AGI world: 00:39:43Why AI brings back the age of the generalist: 00:51:15Links to resources mentioned in the episode:Dean Leitersdorf: https://x.com/dleitersdorf?lang=enDecart: https://about.decart.ai/ Try Mirage and Delulu: https://mirage.decart.ai/, https://play.google.com/store/apps/details?id=ai.decart.delulu, https://apps.apple.com/il/app/delulu-by-decart/id6749955738  More about Yan LeCun's error accumulation problem: https://x.com/ylecun/status/1640123182983045120   

What if the key to mastering difficult conversations was hidden in the way you shake hands or ask a single question?In a world where communication is more fragmented than ever, misinterpretation can derail deals, damage relationships, and escalate tensions. Former U.S. Secret Service Special Agent Brad Beeler has spent 25 years reading people under extreme pressure. In this episode, he reveals the body language cues, vocal techniques, and subtle shifts that can turn an awkward exchange into a moment of connection, whether you're negotiating a business deal, leading a team, or navigating personal relationships.Learn the subtle handshake and body language adjustments that instantly create trust and credibility.Discover the vocal tone shifts that project confidence, reduce tension, and elicit more honest responses.Understand the patterns and red flags that can help you detect dishonesty—without relying on unreliable “one-size-fits-all” cues.Press play now to learn how to decode people, lead with confidence, and transform even the toughest conversations into breakthroughs.˚KEY POINTS AND TIMESTAMPS:02:45 - A Critical Communication Moment in China06:22 - The Foundation of Body Language and Handshakes11:55 - Mastering Vocal Tone and Tonality16:53 - The Connection Between Sales and Interrogation20:09 - Improving Communication in the Digital Age23:27 - Detecting Dishonesty in High-Stakes Situations29:04 - Personal Development Philosophy30:56 - Advice for Your Younger Self33:04 - Managing Inner State Under Pressure36:47 - Closing Thoughts˚MEMORABLE QUOTE:"Pace yourself, invest in becoming 1% better every day, and protect your reputation because your last name is everything."˚VALUABLE RESOURCES:Connect with Brad: https://www.linkedin.com/in/bradbeeler1865/˚To explore coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚

Google improves Gemini AI image editing with 'Nano Banana' model. THIS is why large language models can understand the world. Building a16z's personal AI workstation with four NVIDIA RTX 6000 Pro Blackwell Max-Q GPUs. Elon Musk says xAI has open sourced Grok 2.5. Google says it dropped the energy cost of AI queries by 33x in one year. We must build AI for people; not to be a person. AI 'deadbots' are persuasive — and researchers say they're primed for monetization. AI robots are helping South Korea's seniors feel less alone. College student's "time travel" AI experiment accidentally outputs real 1834 history. Forget Uber Eats—Chipotle's latest delivery option might shock you. There are two types of ddishwasher people. Would you go on a tour of your local Amazon warehouse? Perplexity has cooked up a new way to pay publishers for their content. Wired and Business Insider remove articles by AI-generated 'freelancer'. The South Slope Derby. Checking in on the Internet Roadtrip. TikTok. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: M.G. Siegler Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit zscaler.com/security pantheon.io

Is AI intelligent—or just artificial? In this provocative episode, Dr. Noreen Herzfeld, a rare scholar of both computer science and theology, joins Dru Johnson to expose what most people overlook about artificial intelligence. Drawing from her recent book The Artifice of Intelligence, she challenges the mythology of AGI (artificial general intelligence) and critiques the environmental, social, and theological costs of current AI use. Herzfeld argues that large language models are plateauing and that the real danger isn't a superintelligence—it's our uncritical, energy-intensive use of biased software masquerading as neutral tools. She warns of AI's water and fossil fuel demands, its disembodied affirmation loops, and the illusion that chatbots are viable substitutes for therapists, pastors, or friends. Rooting her critique in Christian theology, Herzfeld defends the value of embodiment, human uniqueness, and community. She sees modern AI and transhumanist dreams as a return to ancient Gnostic heresies—disembodied, elitist, and ultimately dehumanizing. This episode is essential for anyone navigating the ethical, spiritual, and ecological implications of AI. You'll come away more equipped to use AI critically—and to resist the false promises of digital utopia. For Noreen's Book "The Artifice of Intelligence": https://www.fortresspress.com/store/product/9781506486901/The-Artifice-of-Intelligence We are listener supported. Give to the cause here: https://hebraicthought.org/give For more articles: https://thebiblicalmind.org/ Social Links: Facebook: https://www.facebook.com/HebraicThought Instagram: https://www.instagram.com/hebraicthought Threads: https://www.threads.net/hebraicthought X: https://www.twitter.com/HebraicThought Bluesky: https://bsky.app/profile/hebraicthought.org Chapters: 00:00 The Current State of AI Technology 02:21 Environmental Impact of AI 07:55 Understanding AI and AGI 16:36 The Dangers of Chatbots 19:42 Embodiment and AI 30:47 Future of AI and Its Societal Role

Google improves Gemini AI image editing with 'Nano Banana' model. THIS is why large language models can understand the world. Building a16z's personal AI workstation with four NVIDIA RTX 6000 Pro Blackwell Max-Q GPUs. Elon Musk says xAI has open sourced Grok 2.5. Google says it dropped the energy cost of AI queries by 33x in one year. We must build AI for people; not to be a person. AI 'deadbots' are persuasive — and researchers say they're primed for monetization. AI robots are helping South Korea's seniors feel less alone. College student's "time travel" AI experiment accidentally outputs real 1834 history. Forget Uber Eats—Chipotle's latest delivery option might shock you. There are two types of ddishwasher people. Would you go on a tour of your local Amazon warehouse? Perplexity has cooked up a new way to pay publishers for their content. Wired and Business Insider remove articles by AI-generated 'freelancer'. The South Slope Derby. Checking in on the Internet Roadtrip. TikTok. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: M.G. Siegler Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit zscaler.com/security pantheon.io

Google improves Gemini AI image editing with 'Nano Banana' model. THIS is why large language models can understand the world. Building a16z's personal AI workstation with four NVIDIA RTX 6000 Pro Blackwell Max-Q GPUs. Elon Musk says xAI has open sourced Grok 2.5. Google says it dropped the energy cost of AI queries by 33x in one year. We must build AI for people; not to be a person. AI 'deadbots' are persuasive — and researchers say they're primed for monetization. AI robots are helping South Korea's seniors feel less alone. College student's "time travel" AI experiment accidentally outputs real 1834 history. Forget Uber Eats—Chipotle's latest delivery option might shock you. There are two types of ddishwasher people. Would you go on a tour of your local Amazon warehouse? Perplexity has cooked up a new way to pay publishers for their content. Wired and Business Insider remove articles by AI-generated 'freelancer'. The South Slope Derby. Checking in on the Internet Roadtrip. TikTok. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: M.G. Siegler Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit zscaler.com/security pantheon.io

Are you living with purpose, or just going through the motions of daily life?Snippet of wisdom 84.This is one of the most replayed personal development wisdom snippets.My guest Robert Quinn talks about discovering and living a purpose-driven life.Press play to learn how to uncover your unique life purpose and transform the way you see yourself and your contribution to the world.˚VALUABLE RESOURCES:Listen to the full conversation with Robert Quinn in episode #052:https://personaldevelopmentmasterypodcast.com/52˚To explore coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚

Google improves Gemini AI image editing with 'Nano Banana' model. THIS is why large language models can understand the world. Building a16z's personal AI workstation with four NVIDIA RTX 6000 Pro Blackwell Max-Q GPUs. Elon Musk says xAI has open sourced Grok 2.5. Google says it dropped the energy cost of AI queries by 33x in one year. We must build AI for people; not to be a person. AI 'deadbots' are persuasive — and researchers say they're primed for monetization. AI robots are helping South Korea's seniors feel less alone. College student's "time travel" AI experiment accidentally outputs real 1834 history. Forget Uber Eats—Chipotle's latest delivery option might shock you. There are two types of ddishwasher people. Would you go on a tour of your local Amazon warehouse? Perplexity has cooked up a new way to pay publishers for their content. Wired and Business Insider remove articles by AI-generated 'freelancer'. The South Slope Derby. Checking in on the Internet Roadtrip. TikTok. Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: M.G. Siegler Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit zscaler.com/security pantheon.io

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    Watch The Full Episode: http://londonreal.tv/rickards   PLEASE SHARE

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What exactly is an AI agent, and how will agents change the way we work?In this episode, a16z general partners Erik Torenberg and Martin Casado sit down with Aaron Levie (CEO, Box) and Steven Sinofsky (a16z board partner; former Microsoft exec) to unpack one of the hottest debates in AI right now.They cover:Competing definitions of an “agent,” from background tasks to autonomous internsWhy today's agents look less like a single AGI and more like networks of specialized sub-agentsThe technical challenges of long-running, self-improving systemsHow agent-driven workflows could reshape coding, productivity, and enterprise softwareWhat history — from the early PC era to the rise of the internet — tells us about platform shifts like this oneThe conversation moves from deep technical questions to big-picture implications for founders, enterprises, and the future of work. Timecodes: 0:00 Introduction: The Evolution of AI Agents0:36 Defining Agency and Autonomy1:54 Long-Running Agents and Feedback Loops4:49 Specialization and Task Division in AI6:20 Human-AI Collaboration and Productivity6:59 Anthropomorphizing AI and Economic Impact9:10 Predictions, Progress, and Platform Shifts11:31 Recursive Self-Improvement and Technical Challenges13:20 Hallucinations, Verification, and Expert Productivity16:20 The Role of Experts and Tool Adoption22:14 Changing Workflows: Agents Reshaping Work Patterns45:55 Division of Labor, Specialization, and New Roles48:47 Verticalization, Applied AI, and the Future of Agents54:44 Platform Competition and the Application Layer55:29 Closing Thoughts and Takeaways  Resources: Find Aaron on X: https://x.com/levieFind Martin on X: https://x.com/martin_casadoFind Steven on X: https://x.com/stevesi Stay Updated: Let us know what you think: https://ratethispodcast.com/a16zFind a16z on Twitter: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zSubscribe on your favorite podcast app: https://a16z.simplecast.com/Follow our host: https://x.com/eriktorenbergPlease 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.