Podcasts about AGI

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

In this episode of The Liquidity Event, AJ and Shane dive into how they're using AI in everyday life, from food tracking to coding help, before tackling bigger questions about money, dating, and the future of work. They unpack OpenAI's bold claim that AGI could make money obsolete, break down the latest IRS updates—including changes to Qualified Small Business Stock—and debate whether it's better to be a public or secret billionaire. (00:02:00) Shane Talks About Camp (00:09:20) Shane's AI Experiments & Selling His Boat (00:13:00) Money and Modern Dating (00:18:00) OpenAI and the “End of Money” (00:24:00) Burning Man & Billionaire Pizza Analogy (00:26:00) IRS Updates & The Big Beautiful Bill (00:30:00) Public vs Secret Billionaires

Your fundraising strategy is about to become ancient history. This AI breakthrough isn't just a small update; it's a complete revolution that changes everything you know about donor relationships and growing your nonprofit.In this episode of Hey Nonprofits, host Trevor Nelson is joined by fundraising expert and AI pioneer Nathan Chappell to discuss the most profound technology shift in human history. They explore why old methods like focusing on cost per dollar raised are failing and how the shrinking donor pool is forcing a new approach. Nathan explains how any nonprofit can use predictive and generative AI to build a true community, create personalization at scale, and foster generosity. This conversation reveals the simple steps to embrace innovation and curiosity, ensuring your organization thrives in this new era.

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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It hasn't always been easy being Gary Marcus these last few years. OpenAI's most persistently outspoken AI sceptic has been in minority, sometimes of one, in his critique both of Sam Altman's claims about the imminence of AGI as well as the general “intelligence” and economic viability of ChatGPT. Since the supposedly “botched” release of GPT-5, however, even Sam Altman seems to want to be Gary Marcus. For Gary, who has endured what he diplomatically calls "an unbelievable amount of s**t" for his contrarian views, the irony is particularly delicious. He now finds himself vindicated as the very company he's criticized adopts his language of caution and scaled-back expectations. "It's not that I'm becoming like him," Gary says about Sam with Marcusian humility, "but that he's becoming like me." Rather than Son of Sam, OpenAI is now the Son of Gary story. 1. The GPT-5 Reality Check Changed EverythingGPT-5's underwhelming performance—described as barely different from GPT-4.1—shattered the industry's faith in scaling. After 34 months of development and unprecedented hype, it delivered incremental improvements rather than the "quantum leap" promised, fundamentally shifting Silicon Valley's narrative from exponential progress to diminishing returns.2. OpenAI is Burning Cash Despite Record RevenueDespite making a record $1 billion last month and being valued at $300 billion, OpenAI is losing approximately $1 billion monthly and has never turned a profit. The company faces a severe cash flow crisis with only 6-18 months of runway, forcing Altman into constant fundraising cycles at ever-higher valuations.3. The AI Bubble Could Trigger Market ContagionOpenAI's inflated valuation props up NVIDIA's $5 trillion market cap, which depends on insatiable AI chip demand. If even one major AI company scales back purchases or fails, the ripple effects could devastate pension funds and trigger broader market corrections, making this potentially more dangerous than the dot-com bubble.4. Surveillance Monetization is OpenAI's Next MoveWith AGI proving elusive, OpenAI will likely pivot to monetizing the vast personal data users share with ChatGPT—turning users into products like Facebook did. Marcus predicts this shift toward surveillance capitalism, especially with their rumored hardware device partnership with Johnny Ive.5. The Industry's Intellectual Monoculture is BreakingThe field's unprecedented focus on large language models to the exclusion of other approaches created "the least intellectual diversification in AI's 80-year history." As scaling hits limits, the industry must diversify into neuro-symbolic AI and other paradigms that Marcus has long championed.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

Jason Howell and Jeff Jarvis explore the new Pixel 10 AI features, generative AI's impact on smartphone photography, Apple's talks with Google about Gemini AI powering Siri, and the latest developments in AI copyright lawsuits and Meta's hiring slowdown. Enjoying the AI Inside podcast? Please rate us ⭐⭐⭐⭐⭐ in your podcatcher of choice! Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00:00 - Podcast begins 0:02:33 - Google's Pixel 10 event was... different 0:05:41 - Investigating Pixel 10's AI features first hand 0:07:22 - Feature: Daily Hub 0:12:00 - Feature: Magic Cue 0:14:31 - Feature: 100x Pro Res Zoom 0:21:36 - Feature: Camera Coach 0:24:51 - Feature: Recorder with NotebookLM integration 0:32:13 - Jeff's Lenovo ThinkBook 14 Gen 7 0:38:48 - Google Gemini's AI image model gets a ‘bananas' upgrade 0:42:24 - ⁠Can AIs suffer? Big tech and users grapple with one of most unsettling questions of our times⁠ 0:43:44 - Suleyman: We must build AI for people; not to be a person 0:48:54 - AI called Maya tells Guardian: ‘When I'm told I'm just code, I don't feel insulted. I feel unseen' 0:50:56 - ⁠AGI talk is out in Silicon Valley's latest vibe shift 0:53:06 - ⁠Perplexity has cooked up a new way to pay publishers for their content 0:57:08 - ⁠Apple in talks to use Google's Gemini AI to power revamped Siri, Bloomberg News reports 1:02:20 - ⁠Meta puts the brakes on its massive AI talent spending spree 1:04:19 - ⁠⁠⁠⁠NVIDIA Jetson Thor Unlocks Real-Time Reasoning for General Robotics and Physical AI 1:06:49 - ⁠⁠⁠⁠Elon Musk's xAI Dropped Public Benefit Corporation Status 1:08:08 - ⁠⁠⁠⁠Elon Musk sues Apple and OpenAI, revealing his panic over OpenAI dominance 1:10:00 - ⁠⁠⁠⁠Meta and AI Startup Midjourney Announce Partnership 1:11:23 - ⁠⁠⁠⁠Anthropic Settles High-Profile AI Copyright Lawsuit Brought by Book Authors Learn more about your ad choices. Visit megaphone.fm/adchoices

AGI is coming. Reid Hoffman just wrote the book on how to prepare.According to Reid, every major tech breakthrough (the written word, the printing press, the telephone) triggered mass fear. But, contrary to our worries, new technology tends to enhance human agency—even more so, if you know how to use it well.Reid is the cofounder of LinkedIn, Inflection AI, and Manas AI; a partner at venture capital firm Greylock Partners; an early backer and board member of OpenAI; and an award-winning podcasterWe spent an hour talking about how to develop a compass for navigating AGI. Here are a few takeaways:Our sense of human agency is not just about external control but an internal stance—how we approach uncertainty & new tech is crucialIn new technology waves, NO blueprint or plan will have the right answers. Instead, adapting to new technology requires broad access, an experimental mindset, and flexibilityIn an AGI world most jobs will transform, not disappear—and how you can prepare with hands-on trial and errorHow certain social norms and ethics should change as AGI changes the landscape—like individual access to personal dataWhy now may be finally be the era where quantified self tools become valuable…and more, including everything in his new book Superagency, out this week.It was a pleasure to have him on the show for a second time. This is a must-watch for anyone who wants to help build a more human future with AI.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-2.kit.com/ultimate-guide-to-prompting-chatgptIt'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: / danshipperSponsor:Attio is the AI-native CRM built for the next era of companies. With Attio, setup takes minutes. Connect your email and calendar, and it instantly builds a CRM that mirrors your business. Go to https://www.⁠⁠⁠⁠attio.com/every to get 15% off on your first year.Timestamps:00:00:00 — Episode Start00:01:29 — Introduction00:02:50 — Patterns in how we've historically adopted technology00:07:02 — Why humans have typically been fearful of new technologies00:13:25 — How Reid developed his own sense of agency00:20:08 — The way Reid thinks about making investment decisions00:22:00 — Attio: Go to⁠⁠⁠⁠ https://attio.com/every⁠⁠⁠⁠⁠ and get 15% off your first year on your AI-powered CRM.00:29:40 — AI as a "techno-humanist" compass00:35:30 — How to prepare yourself for the way AI will change knowledge work00:41:39 — Why equitable access to AI is important00:45:15 — Reid's take on why private commons will be beneficial for society00:47:23 — How AI is making Silicon Valley's conception of the "quantified self" a reality00:52:14 — The shift from symbolic to sub-symbolic AI mirrors how we understand intelligence01:03:29 — Reid's new book, SuperagencyLinks to resources mentioned in the episode:Reid Hoffman: @reidhoffmanSuperagency, Reid's newest book: https://www.superagency.ai/

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In this episode of The Audit Podcast, John Thompson returns to discuss his new book, The Path to AGI. With over 40 years in the field of artificial intelligence, John provides a grounded perspective on what AGI really means—and why it won't arrive as quickly as many headlines suggest. John's book: A Path to AGI Be sure to connect with John on LinkedIn.   Also, be sure to follow us on our social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   1:36 – A Path to AGI 6:43 – Computer Science isn't Dead It's Still Worth Studying 10:57 – Emergent Behaviors are Ridiculous 12:40 – AGI has Predictive Behavior Not Original Thoughts 16:30 – Original New Thoughts Without Data 20:25 – Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

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.

In this episode of Crazy Wisdom, Stewart Alsop sits down with Derek Osgood, CEO of DoubleO.ai, to talk about the challenges and opportunities of building with AI agents. The conversation ranges from the shift from deterministic to probabilistic processes, to how humans and LLMs think differently, to why lateral thinking, humor, and creative downtime matter for true intelligence. They also explore the future of knowledge work, the role of context engineering and memory in making agents useful, and the culture of talent, credentials, and hidden gems in Silicon Valley. You can check out Derek's work at doubleo.ai or connect with him on LinkedIn.Check out this GPT we trained on the conversationTimestamps00:00 Derek Osgood explains what AI agents are, the challenge of reliability and repeatability, and the difference between chat-based and process-based agents.05:00 Conversation shifts to probabilistic vs deterministic systems, with examples of agents handling messy data like LinkedIn profiles.10:00 Stewart Alsop and Derek discuss how humans reason compared to LLMs, token vs word prediction, and how language shapes action.15:00 They question whether chat interfaces are the right UX for AI, weighing structure, consistency, and the persistence of buttons in knowledge work.20:00 Voice interaction comes up, its sci-fi allure, and why unstructured speech makes it hard without stronger memory and higher-level reasoning.25:00 Derek unpacks OpenAI's approach to memory as active context retrieval, context engineering, and why vector databases aren't the full answer.30:00 They examine talent wars in AI, credentialism, signaling, and the difference between PhD-level model work and product design for agents.35:00 Leisure and creativity surface, linking downtime, fantasy, and imagination to better lateral thinking in knowledge work.40:00 Discussion of asynchronous AI reasoning, longer time horizons, and why extending “thinking time” could change agent behavior.45:00 Derek shares how Double O orchestrates knowledge work with natural language workflows, making agents act like teammates.50:00 They close with reflections on re-skilling, learning to work with LLMs, BS detection, and the future of critical thinking with AI.Key InsightsOne of the biggest challenges in building AI agents is not just creating them but ensuring their reliability, accuracy, and repeatability. It's easy to build a demo, but the “last mile” of making an agent perform consistently in the messy, unstructured real world is where the hard problems live.The shift from deterministic software to probabilistic agents reflects the complexity of real-world data and processes. Deterministic systems work only when inputs and outputs are cleanly defined, whereas agents can handle ambiguity, search for missing context, and adapt to different forms of information.Humans and LLMs share similarities in reasoning—both operate like predictive engines—but the difference lies in agency and lateral thinking. Humans can proactively choose what to do without direction and make wild connections across unrelated experiences, something current LLMs still struggle to replicate.Chat interfaces may not be the long-term solution for interacting with AI. While chat offers flexibility, it is too unstructured for many use cases. Derek argues for a hybrid model where structured UI/UX supports repeatable workflows, while chat remains useful as one tool within a broader system.Voice interaction carries promise but faces obstacles. The unstructured nature of spoken input makes it difficult for agents to act reliably without stronger memory, better context retrieval, and a more abstract understanding of goals. True voice-first systems may require progress toward AGI.Much of the magic in AI comes not from the models themselves but from context engineering. Effective systems don't just rely on vector databases and embeddings—they combine full context, partial context, and memory retrieval to create a more holistic understanding of user goals and history.Beyond the technical, the episode highlights cultural themes: credentialism, hidden talent, and the role of leisure in creativity. Derek critiques Silicon Valley's obsession with credentials and signaling, noting that true innovation often comes from hidden gem hires and from giving the brain downtime to make unexpected lateral connections that drive creative breakthroughs.

What if the life you're living isn't truly yours, but just a role you've been cast to play?Many of us follow a script handed to us by society. Career success, family, stability - only to one day feel a deep emptiness inside. This episode explores how to recognise when you're stuck in a life that doesn't align with your true self and how to break free from the roles you've been conditioned to play.Discover the surprising moment that shattered Ray Martin's CEO identity and launched him into 14 years of soul-searching and backpacking.Learn the transformative power of becoming your own observer, and how this shift can reduce suffering and elevate self-awareness.Understand how "confirmation signals" can guide major life decisions and help you trust your intuition during uncertain transitions.Tap play to uncover the insights that can help you turn personal crisis into a path of purpose, peace, and profound authenticity.˚KEY POINTS AND TIMESTAMPS:02:13 - Ray Martin's Background and Pre-Sabbatical Life05:54 - Personal Crisis and Life Transformation07:34 - Unexpected Acting Experience and Identity Revelation09:12 - Decision to Take a Sabbatical13:09 - Exploring Asia and Self-Discovery17:36 - Navigating Life's Transition and Neutral Zone19:17 - Vipassana Meditation and Inner Transformation23:28 - Confirmation Signals and Intuitive Decision-Making30:27 - Becoming Your Own Observer38:08 - Finding Authenticity and Life's True Path42:30 - Closing Insights and Advice to Younger Self˚MEMORABLE QUOTE:"Trust that the universe has your back—just go where your energy takes you, and don't worry, it will all be all right in the end."˚VALUABLE RESOURCES:Ray's book: https://lifewithoutatie.com/˚To explore coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚

Dr. Jad Tarifi is the co-founder of Integral AI, a company he launched in 2021 after holding senior AI roles at Google. He earned his PhD in Computer Science and AI from the University of Florida and completed his undergraduate studies at the University of Waterloo. A returning guest to the podcast, Jad is a leading thinker on world models in AI and often shares insights on the science of longevity and the future of intelligence.In this conversation, we discuss:Why Jad believes the goal of AGI isn't intelligence but freedom, and how that redefinition reframes both ethics and alignmentThe role of world models in achieving AGI, and why video prediction alone isn't enough for robust, reliable reasoningWhat it means to design AI that can autonomously learn new skills with minimal energy and data, matching or exceeding human learning efficiencyHow Integral AI is building AGI-capable models by focusing on unsupervised abstraction and embodied, open-ended agentsHow Jad defines superintelligence and what it reveals about the evolving relationship between humans and machinesA glimpse into Integral's long-term roadmap, including recursive superfactories and post-AGI economiesResources:Subscribe to the AI & The Future of Work NewsletterConnect with Jad on LinkedInAI fun fact articleOn How To Pick The Right Business Problem to Solve with AIJad Tarifi's past episode on how to train AI to reason like humans

Ready to make the most of your taxes in 2025 and beyond? In this value-packed episode of Dollar & Sense, Joel and Kristin break down the latest game-changing updates to tax deductions, with a spotlight on the new senior deduction and major changes for charitable contributions. Discover how seniors can benefit from a $6,000 deduction—even if they're not yet on Social Security—and learn the income thresholds you need to know to qualify. The hosts also unravel the new opportunities for charitable giving, including a $1,000 deduction for everyone, the upcoming AGI floor of 0.5% for itemized deductions, and smart strategies to maximize your benefits before the rules shift in 2026. From increased state and local tax caps to permanent bonus depreciation for businesses, this episode is full of essential tips for making the most of your money at tax time. Tune in and get ahead of your financial game—your future self will thank you! 

Heute haben wir ein ziemlich dickes Brett zu bohren, denn es geht um die künstliche Intelligenz – und zwar nicht um das, was viele heute bereits darunter verstehen, also die sogenannten Large Language Modelle, die inzwischen von vielen Menschen regelmäßig genutzt werden. Im Fokus steht vielmehr die AGI, die Artificial General Intelligence. Sie ist mindestens so schlau wie wir Menschen und bringt damit nicht nur enorme Chancen mit sich, sondern auch verschiedene Bedrohungsszenarien. Gerade an den Börsen ergeben sich daraus Risiken für bestimmte Sektoren, die ich selbstverständlich ansprechen werde. Klar ist: Das Thema ist komplex und wir werden es in einer einzelnen Podcastfolge nicht abschließend klären können. Doch es führt kein Weg daran vorbei, sich damit auseinanderzusetzen.
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Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Did AI take a step back with GPT-5? 2) Is AI hype going to cool off? 3) GPT-5's switching problem 4) Do we need AI agents? 5) Thinking Vs. Doing AI 6) Sam Altman says parts of AI are a bubble 7) Eric Schmidt says the U.S. should stop overindexing on AGI and instead build it into products 8) GPT-6 is going to have much better memory 9) MIT study says 95% of AI projects fail to achieve their goals 10) AI may replace OnlyFans outsourced 'chatters' 11) Is love AI's real use case? --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

AI NEWS: Google's been moving insanely fast & shipping as OpenAI & Sam Altman have been working out what went wrong with the GPT-5 launch. Will we have a new AI leader? Google's Made By Google event introduced a new natural language photo editing software (that could be powered by Nano Banana - their secret unreleased model) and a live AI translator that feels the like future. Meanwhile, OpenAI is looking forward to GPT-6 already & Elon has Grok moving towards makin' babies.  All that and a new Robot Watch, updates from Runway and Eleven Labs & an alpha demo of our very own new AI audio start-up AndThen!  YEAH WE MADE A COMPANY. FOR REAL WE'RE ADULTS HERE. #ai #ainews #openai   Come to our Discord to try our Secret Project: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Google's New ‘Made By Google' Pixel & AI Event Live Stream https://www.youtube.com/live/JXCXTQIIvM0?si=-j_prVWExRkh1hUE Google AI Zoom Example https://x.com/madebygoogle/status/1958219733079048230/video/1 Natural Language Photo Editing https://blog.google/products/photos/ai-photo-editing-google-photos/ Magic Cue https://x.com/madebygoogle/status/1958221553482576212 AI Translate Example Video https://x.com/boneGPT/status/1958228439556563376 NanoBanana New Mystery Google Image Model https://x.com/ProperPrompter/status/1958545492289216751 https://x.com/emollick/status/1957588350207938937 https://www.reddit.com/r/singularity/comments/1muw88f/showcase_of_the_new_nanobanana_model_on_lmarena/ Google Storybook https://x.com/GeminiApp/status/1957479712386851324 Gavin & Kevin's Google Storybook Example https://g.co/gemini/share/89a11b2c1fdc Sam Altman Talking GPT-6 Already https://www.cnbc.com/2025/08/19/sam-altman-on-gpt-6-people-want-memory.html GPT-5 Pro Does New Math? https://x.com/SebastienBubeck/status/1958198661139009862 Some context from UCLA mathematician expert: https://x.com/ErnestRyu/status/1958408925864403068 Meta “Pausing” AI Hires https://www.cnbc.com/2025/08/21/meta-brakes-massive-ai-talent-recruitment-spending-spree-mark-zuckerberg-tbd-superintelligence-lab.html Runway Game Worlds LAUNCHED https://x.com/runwayml/status/1958516860149997672 ElevenLabs v3 API LAUNCHED https://x.com/matistanis/status/1958227715699445803 DeepSeek 3.1 Thinking Released https://x.com/deepseek_ai/status/1958417062008918312 Elon Will Program AI To Increase The Birth Rate https://x.com/elonmusk/status/1958500552955896206 Also: “Grok 5 has a shot at being AGI” https://x.com/elonmusk/status/1958499441469739329 Anthropic Lets Claude Quit “Abusive” Conversations https://x.com/AISafetyMemes/status/1956615568909328413 Gizmo: Cool Vibe Coded Games Platform https://x.com/MakeGizmos/status/1957522425047896095 Allex “Buff” Robot https://x.com/TheHumanoidHub/status/1957695026386842093 Unitree Tease Next Humanoid https://x.com/UnitreeRobotics/status/1957800790321775011 Getting a Leg up with End-to-end Neural Networks | Boston Dynamics https://www.youtube.com/watch?v=HYwekersccY Winners At World Robotics Championships 100m DASH: https://www.reddit.com/r/singularity/comments/1mt6iqj/100m_humanoid_champion/ STANDING JUMP: https://x.com/TheHumanoidHub/status/1956744420755439891 SOLO DANCE: https://x.com/siyuanhuang95/status/1956901673668124817 Digital Signature Based on Your Name App https://x.com/joshtriedcoding/status/1957005166294581688 CarBoarding https://www.reddit.com/r/aivideo/comments/1mt8v39/carboarding/ AndThen Homepage (sign up for updates!) https://andthen.chat/  

This is Alex Heath, your Thursday episode guest host and deputy editor at The Verge. One of the biggest topics in AI these days is agents — the idea that AI is going to move from chatbots to reliably completing tasks for us in the real world. But the problem with agents is that they really aren't all that reliable right now. There's a lot of work happening in the AI industry to try and fix that, and that brings me to my guest today: David Luan, the head of Amazon's AGI research lab, a cofounder of Adept, and a former VP of engineering at OpenAI. David and I discussed the release of GPT-5, what Amazon wants with agents, and where he thinks the AI race is headed next. Read the full transcript on The Verge. Links:  The Platonic Representation Hypothesis | Phillip Isola Amazon plays catch-up with new Nova models to generate voices, video | Verge Amazon's new AI agent is designed to do your shopping | Verge Microsoft is racing to build an AI ‘agent factory' | Verge OpenAI's new ChatGPT Agent can control an entire computer | Verge 24 hours with Alexa Plus: we cooked, we chatted, and it kinda lied to me | Verge Why AI researchers are getting paid like NBA All-Stars | Decoder OpenAI's Windsurf deal is off — and Windsurf's CEO is going to Google | Verge This is Big Tech's playbook for swallowing the AI industry | Command Line Amazon hires founders away from AI startup Adept | TechCrunch Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Our producers are Kate Cox and Nick Statt. Our editor is Ursa Wright.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Eoghan McCabe is the founder and CEO of Intercom, a customer service platform that has successfully pivoted to become an AI-first company with its agent product, Fin. After stepping away from the CEO role in 2020 due to health issues, Eoghan returned to find the company's growth had stalled. Just one month after his return, ChatGPT launched, and within six weeks, Intercom had a working prototype of what would become Fin. In this conversation, Eoghan shares the brutal reality of transforming a late-stage SaaS business valued at multiple billions into an AI-first company that's now growing faster than most public software companies.We discuss:1. Why Eoghan believes most late-stage companies won't survive the AI transition2. The “founder mode” transformation that required firing 40% of staff and resulted in 98% employee satisfaction3. Why having “nothing to lose” is the ultimate advantage in AI transformation (and why comfortable companies will fail)4. How Intercom transformed from a plateauing SaaS business to an AI-first company growing at 300%+5. How Intercom's pricing evolved from “the most hated in SaaS” to a model that charges just $0.99 per resolved ticket6. The cultural transformation required to compete with AI-native startups7. How 12 years of therapy and a period of “ego death” shaped Eoghan's leadership approach—Brought to you by:Great Question—Empower everyone to run great research: https://www.greatquestion.com/lennyWorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyDX—The developer intelligence platform designed by leading researchers: http://getdx.com/lenny—Transcript: ⁠https://www.lennysnewsletter.com/p/how-intercom-rose-from-the-ashes-eoghan-mccabe—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/170710700/my-biggest-takeaways-from-this-conversation—Where to find Eoghan McCabe:• X: https://x.com/eoghan• LinkedIn: https://www.linkedin.com/in/eoghanmccabe/• Website: https://eoghanmccabe.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Eoghan(05:00) The state of Intercom(09:53) The decision to pivot to AI(12:33) Why Eoghan is "anti-bot" in customer service(16:19) Pricing strategy evolution(19:26) Implementing the AI transformation(26:11) Cultural and organizational changes(31:18) Surviving a coup attempt(40:05) The future of AI and business(45:11) AI's impact on jobs(48:44) AI and human creativity(50:26) The importance of young AI talent(55:00) The cultural shift in AI adoption(58:00) Personal growth and leadership(01:04:34) Intercom's success in producing product leaders(01:11:05) Intercom's unique company culture(01:14:11) Lightning round and final thoughts—Referenced:• Intercom: https://www.intercom.com/• Fin: https://fin.ai/• Des Traynor on LinkedIn: https://www.linkedin.com/in/destraynor/• The art and science of pricing | Madhavan Ramanujam (Monetizing Innovation, Simon-Kucher): https://www.lennysnewsletter.com/p/the-art-and-science-of-pricing-madhavan• Pricing your AI product: Lessons from 400+ companies and 50 unicorns | Madhavan Ramanujam: https://www.lennysnewsletter.com/p/pricing-and-scaling-your-ai-product-madhavan-ramanujam• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• Behind the founder: Marc Benioff: https://www.lennysnewsletter.com/p/behind-the-founder-marc-benioff• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• Fergal Reid on LinkedIn: https://www.linkedin.com/in/fergalreid/• How Perplexity builds product: https://www.lennysnewsletter.com/p/how-perplexity-builds-product• Yosi Amram's website: https://yamram.com/• (Nathaniel Russell) Ego Death Now: https://heythereprojects.shop/products/copy-of-nathaniel-russell-space-is-a-place• Daniel Kahneman: https://en.wikipedia.org/wiki/Daniel_Kahneman• Palantir: https://www.palantir.com/• Stripe: https://stripe.com/• Revolut: https://www.revolut.com/en-US/• Paul Adams on LinkedIn: https://www.linkedin.com/in/pauladams• What AI means for your product strategy | Paul Adams (CPO of Intercom): https://www.lennysnewsletter.com/p/what-ai-means-for-your-product-strategy• Which companies accelerate PM careers most: https://www.lennysnewsletter.com/p/which-companies-accelerate-your-pm• N26: https://n26.com/en-eu• Notion: https://www.notion.so/• Coinbase: https://www.coinbase.com/• True Detective on Max: https://www.hbomax.com/shows/true-detective/9a4a3645-74e0-4e4d-9f35-31464b402357• 28 Years Later: https://www.imdb.com/title/tt10548174/• Trainspotting: https://www.imdb.com/title/tt0117951/• 28 Days Later: https://www.imdb.com/title/tt0289043/• Fellow: https://fellowproducts.com/• Porsche 911: https://www.porsche.com/usa/models/911/• Making Meta | Andrew ‘Boz' Bosworth (CTO): https://www.lennysnewsletter.com/p/making-meta-andrew-boz-bosworth-cto—Recommended book:• Nuclear War: A Scenario: https://www.amazon.com/Nuclear-War-Scenario-Annie-Jacobsen/dp/0593476093Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Is the AI hype cycle about to burst?For months, investors and founders have chased sky-high valuations, billion-dollar hires, and promises of superintelligence, but Meta's drastic plans to cut back its AI division seem to indicate a bleak future for LLMs and AI at large.In this episode, Chris and Yaniv unpack the latest shakeup at Meta, using their knowledge and experience in Silicon Valley to analyze the situation and pick apart whether this is a canary in a coal mine. They explore why Meta is restructuring, what it says about the state of large language models (LLMs), and how to navigate high-stakes moments when the hype cycle turns.In this episode, you will:Understand what Meta's latest AI restructure really signals about industry prioritiesLearn why hype cycles always lead to a trough of disillusionment, and how to prepareExplore how trillion-dollar bets on AGI could reshape competitive dynamicsSee why founders should question assumptions about LLM productivity gainsRecognize the risks of chasing hype versus building sustainable business modelsThe Pact Honor the Startup Podcast Pact! If you have listened to TSP and gotten value from it, please:Follow, rate, and review us in your listening appSubscribe to the TSP Mailing List to gain access to exclusive newsletter-only content and early access to information on upcoming episodes: https://thestartuppodcast.beehiiv.com/subscribe Secure your official TSP merchandise at https://shop.tsp.show/  Follow us here on YouTube for full-video episodes: https://www.youtube.com/channel/UCNjm1MTdjysRRV07fSf0yGgGive us a public shout-out on LinkedIn or anywhere you have a social media followingKey linksGet your question in for our next Q&A episode: https://forms.gle/NZzgNWVLiFmwvFA2A The Startup Podcast website: https://www.tsp.show/episodes/Learn more about Chris and YanivWork 1:1 with Chris: http://chrissaad.com/advisory/  Follow Chris on Linkedin: https://www.linkedin.com/in/chrissaad/  Follow Yaniv on Linkedin: https://www.linkedin.com/in/ybernstein/Producer: Justin McArthur https://www.linkedin.com/in/justin-mcarthurIntro Voice: Jeremiah Owyang https://web-strategist.com/

After listening to him for many years, I'm honored to have Herbert Ong of  ⁨@BrighterwithHerbert⁩ on the show!Other than being a T$LA investor, he has also founded 3 companies, awarded the Thomson Reuters Healthcare Star Performance Excellence Award in 2007, and was the Head Product Manager who built and launched CareDiscovery (used by the majority of US hospitals). Watch the incredible episode on YoutubeEPISODE HIGHLIGHTS[00:00-07:14] Why Tesla? The S-Curve of Innovation[07:15-08:11] Diversifying Beyond Tesla[08:12-12:00] Growth vs. Value Investing[12:01-6:02] The Data Edge: Tesla's  Advantage[16:01-20:00] Robotaxis: The Economic Case[20:01-23:36] Optimus: The Next Layer of AI[23:37-27:54] Real-World Data: The Key to AGI[27:55-32:03] Glipse of the Age of Abundance[32:04-38:09] Solar farms? Global Energy Shifts[38:10-44:45] Utopia or Dystopia? The AI Future[44:46-48:00] Should we be afraid?[48:01-51:47] A Holodeck FutureSpecial Mentions:Elon Musk, Tesla AI, EVs, robotaxi, Optimus, Waymo, AppleTony Seba, Ray Kurzweil, Gary Black, AIM Free Book: The Singularity is Near, predicting AGI by 2029.Any questions?*** Start taking action right NOW!

Artificial General Intelligence, Extinction, Depopulation, NWO, Agenda 2030, Ai, TechnologyMIT Student Drops Out saying AGI will Kill Everyone before She Can Graduate -Forbes(Ai News)To support the [Show] and its [Research] with Donations, please send all funds and gifts to :$aigner2019 (cashapp) or https://www.paypal.me/Aigner2019 or Zelle (1-617-821-3168). Shalom Aleikhem!

Send us a text“As everything in life, no matter what tragedy we had, or whatever has happened in our life, it has passed. So this too shall pass.” ~ Agi KeramidasEpisode Overview:Agi Keramidas, a former dentist who has transitioned into the realm of personal development and podcasting. The conversation delves into the importance of identifying and pursuing one's true calling, even when it means making significant life changes. Agi shares his life story, from his early life in Greece to his decision to move to the UK and eventually transition from dentistry to coaching and mentoring. The discussion emphasizes the significance of having a clear vision, the importance of taking deliberate steps towards personal growth, and the value of trusting in a higher power or purpose. Agi also offers practical advice on how to navigate life's transitions and find fulfillment by looking forward rather than back. This episode is filled with motivational insights, practical steps for personal development, and deep reflections on life's purpose.00:30 Meet Agi Keramidas00:50 Setting the Stage for Today's Episode02:03 Agi's Message of Transformation03:13 The Importance of Taking Action03:45 Pre-Interview Discussion05:02 Affiliate Break06:11 Agi's Life Story: From Greece to the UK06:25 The First Major Transition: Moving to the UK11:49 The Second Major Transition: Post-Master's Realization15:38 Exploring Personal Development23:30 The Journey of Self-Exploration24:59 Life-Changing Decisions and Regrets26:09 Taking Uncomfortable Actions28:22 Defining Your Vision31:44 The Importance of Vision in Life39:33 Transitioning Careers50:14 Trusting the Process and Having Faith55:43 Final Thoughts and EncouragementSHOW NOTES & LINKS: Website: https://agikeramidas.comPodcast: https://personaldevelopmentmasterypodcast.comREMARKABLE SPECIAL OFFER(S):Save 30% to 80% on EVERYTHING you order at MyPillow.com with Free Promo Code, “REMARKABLE“. Yes, that's right! Use the best My Pillow promo code out there to save a TON of money on all 200+ quality, comfortable, cozy home goods at MyPillow.com/Remarkable, or by calling 1-800-644-6612. From sheets, to blankets, to pillows, to matSupport the showWant Even More?

Are we really witnessing the "most expensive flop in tech history" with AI, or is something else going on? While headlines scream about failed AI pilots and wasted billions, there's a massive disconnect between public narratives and what's actually happening in AI development. This episode dives into the recent wave of AI pessimism following GPT-5's launch, explores why 95% of corporate AI pilots are reportedly failing, and examines the growing divide between Silicon Valley's AGI obsession and practical AI applications that could transform daily life. But here's the real story: while markets panic and media declares AI dead, builders are making breakthrough progress on memory systems, world models like Genie 3, and mysterious new models like "Nano Banana" that are quietly revolutionizing what's possible. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Plumb - The automation platform for AI experts and consultants ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://useplumb.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Interested in sponsoring the show? nlw@breakdown.network

Send us a textMost tax strategies give you either a write-off or long-term growth. Oil and gas gives you both. With IRS Code 263(c), you get massive upfront deductions and steady tax-advantaged cash flow.In this episode, Mike and Nick from US Energy unpack how drilling funds work, the unique tax benefits they provide, and how to use them strategically in your business planning.

"How do you think artificial general intelligence will affect our children? How do we prepare our families for AGI's advent in 2 to 3 years?" - Christina Ai will change what it is to be human. Are we ready? - Article This podcast is entirely Q&A based! Send in your questions to ask@axis.org. And for more resources, go to axis.org.

Whether we like it or not, and despite tales of its powers being greatly exaggerated, the AI genie is out of the box. What does that mean, and what can we do about it? In another twist of abysmal AI politics, OpenAI CEO Sam Altman just admitted that we are in an AI bubble, and AGI is losing relevance. You may find this baffling or hilarious, or you may be wondering where does that leave the AI influencer types. But despite the absurdity, AI and the associated narrative have gotten way too important to dismiss. Connecting the dots to make sense of it all calls for long-standing experience in AI, engineering, business and beyond. In other words, for people like Georg Zoeller: a seasoned software and business engineer experienced in frontier technology in the gaming industry and Facebook. Zoeller has been using AI in his work dating back to the 2010's, to the point where AI is now at the core of what he does. Zoeller is the VP of Technology of NOVI Health, a Singapore-based healthcare startup, as well as the Co-Founder of the Centre for AI Leadership and the AI Literacy & Transformation Institute. In a wide-ranging conversation with Zoeller, we addressed everything from AI first principles to its fatal flaws and its place in capitalism. Today, we discuss regulatory capture, copyright, the limits of the attention economy, the new AI religion, the builder's conundrum, how the AI-powered transformation of software engineering is a glimpse into the future of work, AI literacy and how to navigate the brave new world. First part of the conversation: https://pod.co/orchestrate-all-the-things-podcast-connecting-the-dots-with-george-anadiotis/poking-holes-in-the-ai-narrative-market-signalling-and-outsourcing-featuring-georg-zoeller-centre-for-ai-leadership-co-founder Article published on Orchestrate all the Things: https://linkeddataorchestration.com/2025/08/19/breaking-the-ai-bubble-big-tech-plus-ai-equals-economy-takeover/

Discover how the One Big Beautiful Bill (OBBB) is reshaping philanthropy. Host Isaac Chota (UBS) and guest Gil Nusbaum (National Philanthropic Trust) discuss new charitable giving rules like the 0.5% AGI threshold, a 35% cap on itemized deductions, updates to corporate giving and SALT limits, and the evolving role of donor-advised funds. Learn what these changes mean for donors and advisors. Featured: Isaac Chota, Donor Advised Fund Product Manager, and Gil Nusbaum, Chief Administrative and Legal Officer, National Philanthropic Trust.

Have you ever felt stuck, disconnected from your purpose, or unsure how to turn your personal struggles into something meaningful?In this inspiring episode, leadership communication coach Rob Wentz shares how a life-changing dream and a deep commitment to self-integrity reshaped his life - and how you can use the same principles to unlock your own breakthrough. If you're navigating a midlife shift, battling self-doubt, or searching for renewed clarity, this conversation is packed with grounded wisdom and transformative insight.Discover the profound impact of shifting your focus from self to service, and how it can reduce anxiety and unlock clarity.Learn the one question that reveals your childhood essence, and how it can reconnect you to your true calling today.Understand why embracing your strengths, not your weaknesses, is the key to growth, fulfillment, and real impact.Tune in now to uncover how your past holds the clues to your most purposeful future and how to start living from that truth today.˚KEY POINTS AND TIMESTAMPS:02:37 - Rob's Life-Changing Grandmother Dream07:47 - Shifting Focus from Self to Service13:02 - Receiving Feedback and Recognizing Personal Strengths19:40 - The Childhood Aspiration Question and Discovering Purpose26:01 - Practical Steps to Reconnect with Childhood Passions29:52 - Personal Contact and Website Information30:16 - Personal Development Meaning32:51 - Advice to Younger Self34:20 - Closing Wisdom and Parting Thoughts˚MEMORABLE QUOTE:"Choose your friends wisely and find a mentor. Be very selective about who you let into your life."˚VALUABLE RESOURCES:Rob's website: https://www.leadimpacttransform.com/˚To explore coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚

Always the uncool kids at the table, Ben and Vaden push back against the AGI hype domininating every second episode of every second podcast. We react to "We're not ready for superintelligence" (https://www.youtube.com/watch?v=5KVDDfAkRgc) by 80,000 Hours - a bleak portrayal of the pre and post AGI world. Can Ben keep Vaden's sass in check? Can the 80,000 hours team find enough cubes for AGI? Is Agent-5 listening to you RIGHT NOW? Listener Note: We strongly recommend watching the video for this one, available both on youtube and spotify: - https://www.youtube.com/@incrementspod - https://open.spotify.com/show/1gKKSP5HKT4Nk3i0y4UseB We discuss The incentives of superforecasters Arguments by authority Whether superintelligence is right around the corner The difference between model size and data Are we running out of high quality data? Does training on synthetic data work? The assumptions behind the AGI claims The pitfalls of reasoning from trends References Michael I Jordan (https://people.eecs.berkeley.edu/~jordan/) Neil Lawrence (https://en.wikipedia.org/wiki/Neil_Lawrence) Important technical paper from Jordan pushing back on Doomerism (A Collectivist, Economic Perspective on AI) Jordan article talking about dangers of using AlphaFold data (https://news.berkeley.edu/2023/11/09/how-to-use-ai-for-discovery-without-leading-science-astray/) Nature paper showing you can't use synthetic data to train bigger models (https://www.nature.com/articles/s41586-024-07566-y) Paper estimating of when training data will run out (https://arxiv.org/abs/2211.04325v2) (Coincidentally enough, sometime between 2027-2028) Socials Follow us on Twitter at @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) But how many cubes until we get to AGI though? Send a few of your cubes over to incrementspodcast@gmail.com Episode header image from here (https://www.youtube.com/watch?app=desktop&v=0Jsrux_XY8Y&ab_channel=TheAlgorithmicVoice).

3 multi-millionaire founders give their practical insights on how to prepare for the rise of AGI and super intelligence. Thanks for tuning in! New episodes of Topline drop every Sunday and Thursday. Don't miss GTM2025 — the only B2B tech conference exclusively for GTM executives. Elevate your 2026 strategy and join us from September 23 to 25 in Washington, D.C. Use code TOPLINE for 10% off your GA ticket.  Stay ahead with the latest industry developments and emerging go-to-market trends with Topline Newsletter by Asad Zaman. Subscribe today.  Tune in to The Revenue Leadership Podcast every Wednesday, where host Kyle Norton talks with real revenue operators and dives deep into what it takes to succeed as a modern revenue leader. You're invited! Join the free Topline Slack channel to connect with 600+ revenue leaders, share insights, and keep the conversation going beyond the podcast! This episode is sponsored by UserEvidence. Want to know what actually moves the needle on trust? Download The Evidence Gap, a data-backed report on the customer proof that drives real results. Get it now at userevidence.com/evidence. Key chapters: (00:00) - Introduction (00:38) - Podcast Welcome and Host Introductions (00:48) - Episode Overview and Topics (01:39) - Personal Updates and Anecdotes (05:57) - AGI and Super Intelligence Are (maybe) Here (10:58) - AI's Impact on Business and Employment (14:17) - Is It Overhyped? (26:23) - Future of Middle Management (31:09) - Where Will AI Fit In? (38:14) - We're Robbing Young People (39:02) - The Grind Score: Measuring Work-Life Balance (42:36) - The Future of Work and AI's Impact (50:21) - Go-To-Market Tech Landscape and Consolidations (01:02:12) - Listener Question: Moving to Philadelphia

Welcome to episode #997 of Six Pixels of Separation - The ThinkersOne Podcast. What happens when nearly everything a marketer or strategist does today becomes instant, automatic… and nearly free? That's the premise of AI First, the new book from Adam Brotman (my guest this week) and his co-author Andy Sack, which confronts the existential shift that AI is bringing to brand strategy, customer experience and creative work. Adam, the former Chief Digital Officer at Starbucks and co-founder of the strategic consultancy Forum3, brings firsthand experience building digital platforms that changed how global businesses operate. In this episode, we dive into what it really means to become an "AI First” organization, not just layering on tools, but redesigning your business from the ground up. You'll hear why OpenAI's Sam Altman believes 95% of current marketing agency work will be handled by AI, and what that means for leaders, teams and the future of creative differentiation. We explore the difference between being AI-aware and AI-native, how to run internal pilots that create momentum, and what the future holds for customer loyalty and personalization in a post-human-first creative landscape. For anyone wondering what practical transformation looks like in an AI-saturated world and how to build companies that still feel human, this conversation maps the next five years and beyond. Enjoy the conversation… Running time: 52:22. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Six Pixels of Separation. Feel free to connect to me directly on Facebook here: Mitch Joel on Facebook. Check out ThinkersOne. or you can connect on LinkedIn. ...or on X. Here is my conversation with Adam Brotman. AI First. Forum3. Check out his podcast. Follow Adam on LinkedIn. Chapters: (00:00) - The Journey of Digital Transformation. (05:05) - AI First: Understanding the New Paradigm. (10:00) - The Role of AI in Business Strategy. (15:09) - Navigating the Future of Work with AI. (19:50) - The Promise and Challenges of AGI. (31:58) - The Rise of AI and Human Collaboration. (34:07) - Navigating the AI Landscape: Challenges and Opportunities. (37:27) - Intelligence vs. Imitation: Understanding AI's Capabilities. (40:57) - Creativity in the Age of AI: A New Frontier. (43:30) - The Role of Empathy in AI Interactions. (46:41) - Paradigm Shifts: Embracing Change in Technology. (49:01) - Responsible AI: Balancing Innovation and Ethics. (52:44) - The Future of Work: Adapting to AI Transformations.

➡️ Watch the full interview ad-free, join a community of geopolitics enthusiasts and gain access to exclusive content on PATREON: https://www.patreon.com/DecodingGeopolitics➡️ Sign up to my free geopolitics newsletter: https://stationzero.substack.com/This is a conversation with Gregory Smith, a policy analyst at Rand focusing on the influence of AI and emerging technologies on geopolitics. And this was - and I hope I don't offend any of my other guests by saying - one of the most fascinating conversations I've ever had on the podcast.Today, we are at a point when there's a realistic chance that in the next decade or so we might get an AGI - artificial general intelligence or even ASI - artificial superintelligence: a next stage of AI that would be able to do everything that humans can and possibly even significantly better. If that happens it will radically transform every aspect of our lives but while the impact on other areas is widely discussed - how it might reshape geopolitics is largely ignored - even though its impact would be absolutely transformational. Greg and his colleagues at Rand recently published an extremely interesting paper where they for the first time try to explore what that might look like - and they present 8 different scenarios of how AGI can transform the global world order. Most of them are pretty bad but all of them are fascinating - leading to a rise of new superpowers, fall of the old ones and a fundamentally different world. And in this conversation, we discuss what that world might look like.

Confused by AI jargon and unsure which tools actually move the needle for your business? We break down the real differences between traditional algorithms, large language models (LLMs), and agents — including agentic AI — and give practical guidance leaders can use now.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Choosing AI: Algorithms vs. AgentsUnderstanding AI Models and AgentsUsing Conditional Statements in AIImportance of Data in AI TrainingRisk Factors in Agentic AI ProjectsInnovation through AI ExperimentationEvaluating AI for Business SolutionsTimestamps:00:00 AWS AI Leader Departs Amid Talent War03:43 Meta Wins Copyright Lawsuit07:47 Choosing AI: Short or Long Term?12:58 Agentic AI: Dynamic Decision Models16:12 "Demanding Data-Driven Precision in Business"20:08 "Agentic AI: Adoption and Risks"22:05 Startup Challenges Amidst Tech Giants24:36 Balancing Innovation and Routine27:25 AGI: Future of Work and SurvivalKeywords:AI algorithms, Large Language Models, LLMs, Agents, Agentic AI, Multi agentic AI, Amazon Web Services, AWS, Vazhi Philemon, Gen AI efforts, Amazon Bedrock, talent wars in tech, OpenAI, Google, Meta, Copyright lawsuit, AI training, Sarah Silverman, Llama, Fair use in AI, Anthropic, AI deep research model, API, Webhooks, MCP, Code interpreter, Keymaker, Data labeling, Training datasets, Computer vision models, Block out time to experiment, Decision-making, If else conditional statements, Data-driven approach, AGI, Teleporting, Innovation in AI, Experiment with AI, Business leaders, Performance improvements, Sustainable business models, Corporate blade.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Ben and Andrew discuss a monster earnings report for Meta, the mechanics of how they got there, and the newfound trust the company enjoys from investors. Then: Reactions to GPT-5 and subsequent updates from OpenAI, the strategic logic of the changes, questions about OpenAI leadership, the AGI race, and prompts to engineer the right LLM tone. At the end: A question on bubbles and the implications of our current circumstances, Apple's interests vs. America's interests, Blackberry's thin client comeback, a few fun Bell Labs facts, and Google as slime mold.

In this episode from the a16z Podcast, Dwarkesh Patel, Noah Smith, and Erik Torenberg discuss AGI, exploring how AI might transform labor markets, economic growth, space exploration, and geopolitical dynamics in the coming decades. – SPONSORS: Zcash Zcash offers private, encrypted digital money that protects users from AI-powered surveillance, allowing people to store and spend wealth without compromising their privacy.  Try it out. Download Zashi wallet and follow @genzcash to learn more: https://x.com/genzcash Notion AI meeting notes lives right in Notion, everything you capture, whether that's meetings, podcasts, interviews, conversations, live exactly where you plan, build, and get things done.  Here's an exclusive offer for our listeners. Try one month for free at notion.com/lp/econ102 NetSuite More than 42,000 businesses have already upgraded to NetSuite by Oracle, the #1 cloud financial system bringing accounting, financial management, inventory, HR, into ONE proven platform. Download the CFO's Guide to AI and Machine learning: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://netsuite.com/102⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Found  Found provides small business owners tools to track expenses, calculate taxes, manage cashflow, send invoices and more. Open a Found account for free at https://found.com/econ102 - Shownotes brought to you by Notion AI Meeting Notes - try one month for free at notion.com/lp/econ102 Defining AGI: Noah and Dwarkesh begin by establishing working definitions of Artificial General Intelligence - from systems that "can do almost any job at least as well as humans" to more near-term AI that "can automate 95% of white-collar work" Current AI Limitations: Present systems lack crucial continual learning capabilities that would allow them to build context over time and improve with experience like humans do Historical Parallels: The conquistadors' conquest of the Aztec and Inca empires provides a cautionary tale about information asymmetry and how technological advantages can lead to domination AI Cooperation: The hosts discuss the need for US-China cooperation on AI safety, similar to the "red telephone" during the Cold War, to prevent AI-related sabotage AI Market Competition: Analysis of the surprising trend of increasing rather than decreasing competitors at the AI frontier, despite rising costs of training frontier models Network Effects vs. Technical Capability: Discussion of whether brand recognition (like "ChatGPT") or technological advantages will determine market leaders Quotes: "If you make the best AI, it gets even better. So why enter that? That's the big question." - Noah Smith LINKS: The a16z podcast: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Noahpinion newsletter: https://noahpinion.substack.com/ Dwarkesh podcast: https://www.dwarkesh.com/ Erik Torenberg's Substack: https://eriktorenberg.substack.com/ Got questions for Noah and Erik to answer on air? Send them to Econ102@Turpentine.co - FOLLOW ON X: @noahpinion @eriktorenberg @turpentinemedia

Paris Marx is joined by Paolo Benanti to discuss what Pope Leo XIV's statements on AI, the publications under Pope Francis, and the ethics of AI from a theological perspective.Paolo Benanti is an author, academic, and priest. He teaches at the Pontifical Gregorian University and was an advisor to Pope Francis on artificial intelligence and technology ethics.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:Paris wrote about what Pope Leo XIV and the Church have been saying about AI.In June, Pope Leo sent a message to the Second Annual Rome Conference on Artificial Intelligence.Under Pope Francis, the Church published a note on AI called Antiqua et nova. Here is a short breakdown of its content.Support the show

GPT-5: Overdue, overhyped and underwhelming. And that's not the worst of it. Generative AI and the Future of the Digital Commons David Sacks on X: "A BEST CASE SCENARIO FOR AI? The Doomer narratives were wrong. Predicated on a "rapid take-off" to AGI, they predicted that the leading AI model would use its intelligence to self-improve, leaving others in the dust, and quickly achieving a godlike superintelligence. Instead, we" / X A taxonomy of hallucinations (see table 2) Red Teams Jailbreak GPT-5 With Ease, Warn It's 'Nearly Unusable' for Enterprise Medicare will test using AI to help decide whether patients get coverage — which could delay or deny care, critics warn Podcasting's 'Serial' Era Ends as Video Takes Over Sara Kehaulani Goo named President of the Creator Network What Happened When Mark Zuckerberg Moved In Next Door Google says it's working on a fix for Gemini's self-loathing 'I am a failure' comments Two-mile suspension bridge Will Giz allow the Skee-ballers to make this their next outing? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Tulsee Doshi 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: spaceship.com/twit Melissa.com/twit

GPT-5: Overdue, overhyped and underwhelming. And that's not the worst of it. Generative AI and the Future of the Digital Commons David Sacks on X: "A BEST CASE SCENARIO FOR AI? The Doomer narratives were wrong. Predicated on a "rapid take-off" to AGI, they predicted that the leading AI model would use its intelligence to self-improve, leaving others in the dust, and quickly achieving a godlike superintelligence. Instead, we" / X A taxonomy of hallucinations (see table 2) Red Teams Jailbreak GPT-5 With Ease, Warn It's 'Nearly Unusable' for Enterprise Medicare will test using AI to help decide whether patients get coverage — which could delay or deny care, critics warn Podcasting's 'Serial' Era Ends as Video Takes Over Sara Kehaulani Goo named President of the Creator Network What Happened When Mark Zuckerberg Moved In Next Door Google says it's working on a fix for Gemini's self-loathing 'I am a failure' comments Two-mile suspension bridge Will Giz allow the Skee-ballers to make this their next outing? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Tulsee Doshi 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: spaceship.com/twit Melissa.com/twit

GPT-5: Overdue, overhyped and underwhelming. And that's not the worst of it. Generative AI and the Future of the Digital Commons David Sacks on X: "A BEST CASE SCENARIO FOR AI? The Doomer narratives were wrong. Predicated on a "rapid take-off" to AGI, they predicted that the leading AI model would use its intelligence to self-improve, leaving others in the dust, and quickly achieving a godlike superintelligence. Instead, we" / X A taxonomy of hallucinations (see table 2) Red Teams Jailbreak GPT-5 With Ease, Warn It's 'Nearly Unusable' for Enterprise Medicare will test using AI to help decide whether patients get coverage — which could delay or deny care, critics warn Podcasting's 'Serial' Era Ends as Video Takes Over Sara Kehaulani Goo named President of the Creator Network What Happened When Mark Zuckerberg Moved In Next Door Google says it's working on a fix for Gemini's self-loathing 'I am a failure' comments Two-mile suspension bridge Will Giz allow the Skee-ballers to make this their next outing? Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Tulsee Doshi 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: spaceship.com/twit Melissa.com/twit

This week we talk about tech bubbles, building moats, and infrastructure investment.We also discuss capital expenditure, data centers, and employee compensation.Recommended Book: The Art of Gathering by Priya ParkerTranscriptMany technology booms have early periods in which innovators have a first-mover advantage, and a lot of what happens in their industry is informed by the decisions those innovators make.After that—depending on the technology, but this is common enough to be considered a trend—after that there tends to be a period of build-out and consolidation amongst the people and business entities that survived that initial, innovation-focused throw-down.In the context of personal computers, this moment saw computer-makers like Microsoft and Apple scramble to pivot from figuring out what an operating system should look like and whether or not to use mice to navigate user interfaces, to a period in which they were rushing to scale-up the manufacture of now-essential, but previously comparably rare components: suitable screens for their monitors, chips that could power their increasingly graphical machines, and the magnetic materials necessary to produce floppy disks and spindle-based hard drives.There's an initial period in which new ideas and approaches provide these entities with a moat that protects them against competition, in other words, but then the game they're playing changes, the rules are more fully understood and to some degree locked into place and agreed upon, and instead of competing for the biggest, most brazen new ideas, they lock onto one set of ideas that seemed to be the best of what's available at that moment and build on those, iterating them at a regular cadence, but focusing especially on scaling them.So at this second stage, they're investing in the ability to out-produce their competition in some way, so they can eventually bypass that competition and (they hope) safely increase their prices and make a profit, as opposed to just larger and larger revenues with equal or greater expenses, continuing to be reliant on investor injections of capital, rather than generating their own surplus returns.By many analysts' and insiders' estimates, we've just entered that second stage in the generative AI industry. That's the sort of AI that generates text and images and code and such, and it's increasingly becoming a sort of commodity, rather than a new, hot things that few companies can offer the market.What I'd like to talk about today are the increasingly massive financial figures associated with this industry's shift to that second stage of development, and why some of those insiders and analysts are voicing fresh concerns that this could all lead to a bubble, and possibly an historically large one.—There are many ways we could measure the growth of the AI industry over the years.The US market size, for instance, which is a measure of the value of AI-oriented companies based on how much shares of their company cost or would cost on the open market, has ballooned from just over $100 billion in 2022 to an estimated $174 billion in 2025. That figure is expected to grow at a not quite 20% compound annual growth rate through 2034, which, if accurate, would put this market, in the US alone, at more than $850 billion.Another metric we might use is that of capital expenditure, or capex, in this corner of the tech industry, which refers to the amount of money AI companies are using to buy, upgrade, or maintain their long-term assets, like new computer chips or the data centers they fill with those chips.The seven most valuable US tech companies—Meta, Alphabet, Microsoft, Amazon, Apple, NVIDIA, and Broadcom (that last spot formerly held by Tesla, which was dropped from this designation in late-2024)—just those seven companies have spent $102.5 billion on capex this last financial quarter (and most of that was from just four of them, Meta, Alphabet, Microsoft, and Amazon, the remainder only spending something like $6.7 billion).That's a staggering amount of money, and due to a recent drop in consumer demand—the money individual US citizens spend on things like food and clothes and smartphones and cars and all the other things people buy—AI-related capex, spending by these massive US tech companies, has added more to GDP growth than consumer spending for the past two quarters.All the things all the people in the US bought over the past two quarters did not cost as much, in aggregate, as what these companies spent during the same period, on new and existing assets. That's pretty wild.And it's the consequence, partly, of the shift in these companies' focus from providing goods and services that relied heavily on people—salary and stock compensation, basically, which is not a capex expense, because its spent on employees, not stuff—to spending heavily on all that infrastructure that they believe will be required to help them compete with those other companies that are also frantically investing in the same.Whomever can built the biggest, baddest, most reliable and powerful data centers, and can get the AI-optimized chips to fill them, will have an advantage over their opponents in the new, developing tech world paradigm, it's thought, so they're pumping gobs of resources into exactly those sorts of assets, hoping to get ahead, build an insurmountable advantage, and put their competition out of business—or failing that, to establish themselves as the AI Coca-Cola, versus their opposition's AI Mr. Pip.Similar dynamics are playing out elsewhere, especially in China, where the market could reach a value approximating today's US AI market in 3-5 years, and several times that, up to $1.4 trillion, by 2030—though like all of these figures, it depends on how we choose to measure these sorts of things, including what counts as an AI company, and in China, several of their major AI players are heavily involved in automation, robotics, which itself is expected to be a $5 trillion industry in that country by 2050.Europe's market is comparably smaller, as is its overall tech industry, but the AI market is now just shy of 15% of its total tech sector, up from 12% in 2022, and AI startups are attracting about a quarter of all VC funding in the bloc right now—so they're starting from a less spendy start, but like pretty much everywhere the necessary knowledge and manufacturing base exists at the moment, the European AI market is growing a lot faster than anyone would have expected even just five years ago.And there are real-deal innovations coming out of this tech; these investments are flooding into AI companies because these technologies, this version of them, the generative AI stuff, has completely rewired the programming world, AI bots and agents helping coders achieve a lot more, faster, and non-coders make things they wouldn't have been able to build lacking these tools, imperfect as many of those tools are, under the hood.We're also seeing an explosion of other sorts of generated content, and the injection of these tools that make such content into Hollywood studios and consulting firms and government agencies, and everything in between, is causing equal parts panic and excitement, depending on whether you're one of the people who feels like they might be laid off soon, replaced by software, or if you're someone who profits from all those layoffs, and the payments from the companies that hope to save money by conducting them, replacing their comparably expensive employees with cheaper AI tools.Things have gotten so wild that Meta's CEO Mark Zuckerberg has started offering compensation packages ranging from $200 million to more than a billion dollars to top AI talent. Meta's AI spending is already massive, and could hit $72 billion this year, but the company has said it could hit $100 billion in 2026, while Microsoft's leadership suggested their 2025 spending of $30 billion could balloon to $120 billion in 2026.OpenAI recently offered their employees large bonuses, in the hundreds of thousands to millions of dollars range, to counter those sorts of overtures from the likes of Meta, but there's a lot of money flying around from all direction right now, much of it aimed at more AI infrastructure, or the relatively few people on the planet who understand this tech well enough to make a competitive difference in this industry.That's…a lot of money. There's just so much spending happening, so many resources sloshing around in this one space right now, and all this investment is predicated on the idea that AI will change everything, we're stepping into a new paradigm, and those who control the AI, will basically own the next game. So they're all trying to set things up so they win the next game, or at least have the best hand possible when it arrives.There have been increasingly loud arguments, made by long-time generative AI critics, but also, more recently, ardent AI boosters, that we might be running up against a wall of what these things can do for us; this version of the AI concept, at least.And these arguments got louder with OpenAI's release of their long-teased GPT-5 model, which some expected to be true AGI, human-grade, flexible, omni-capable intelligence, while others thought it might be a mono-focused superintelligence of some kind: the perfect coder, the perfect image generator, something like that.What users got was not that. It seems to be better at some things, still not great at others.This was an incredibly expensive model to produce—the training costs alone are estimated to be something like a half-billion dollars, and that's just a portion of the total costs of creating this sort of model—and what OpenAI served up, instead of something groundbreaking, was a slightly better, though in some ways seemingly the same or worse version of what everyone's been playing with for years, now.There's room for disagreement on this, as while there are some more objective tests for measuring models' capabilities, a lot of it is circumstantial, and depends, among other things, on what you're trying to do, how the systems are prompted, and so on.There's also something to be said for cost-reductions and other sorts of benefits of new models, beyond raw power and capability.But this thud of a launch for what was supposed to be a sea-changing system has led to the ringing of some alarm bells, industry watchers wondering if we might be careening toward a bubble, at a moment in which, again, this segment of the tech industry is contributing more to the US's GDP than all of consumer spending, combined.A bubble, to be clear, wouldn't mean the collapse of the US economy, or even these companies, necessarily. It would mean a lot of AI entities going under, a lot of invested money lost, and a lot of people who suddenly don't have jobs.Almost always there are a few players in these bubbly spaces that make it to the other side, though—eBay, for instance, survived the dotcom bubble intact, as did Amazon, PayPal, and Adobe, among many others.But the grand shakeout, the sifting for those that could survive a mammoth downturn, and the destruction of the rest, that's a tough moment for those directly connected to the bubble-popping industry, and those adjacent to it: the folks who feed the employees who are now laid off, the suppliers of the light switches that go in all the data centers, etc.There are ripple effects to this sort of bubble pop moment, then, and though such sifting might be long-term beneficial, because it maybe weeds out some of the dead-weight and makes things more efficient in that space five or ten years in the future, that won't help the folks who lose a lot of money when the industry shrinks, including those who have their money at banks that made bad bets, or insurance companies that did the same, with their customers resources.Everything's great for everyone when these sorts of high-risk, high-reward bets are paying out, but when the golden goose of huge anticipated future profits disappears, that shakeout leaves a lot of entities and people with emptier pockets.None of which suggests this is going to happen; there's a chance that we continue to see better and better models using the current, generative AI technology, or that some of these companies successfully pivot to another AI approach that bears better, next-step fruit, and things just keep getting more and more powerful and less and less expensive for everyone; that could theoretically lead to some pretty cool, broadly beneficial things.This sort of risk is lurking in the background of everything that's happening, though, and while upbeat marketing messages and predictions about how cool it will all be when the next-step tools arrive can keep things going for a while, even lacking major milestones that can be pointed at to justify those claims, at some point we'll probably need to see something really, truly different and novel, or the bottom could fall out, leaving those who were more careful tip-toeing into this collection of technologies looking less like they're being left behind, and more like they took smart precautions and made safe, reliable investments.Show Noteshttps://www.precedenceresearch.com/us-artificial-intelligence-markethttps://www.statista.com/outlook/tmo/artificial-intelligence/united-stateshttps://techcrunch.com/2024/12/23/ai-startups-attracted-25-of-europes-vc-funding/https://archive.is/20250809000924/https://www.theverge.com/command-line-newsletter/756561/openai-employees-bonus-sam-altman-ai-talent-warshttps://paulkedrosky.com/honey-ai-capex-ate-the-economy/https://www.wsj.com/tech/ai/silicon-valley-ai-infrastructure-capex-cffe0431https://archive.is/20250809000924/https://www.theverge.com/command-line-newsletter/756561/openai-employees-bonus-sam-altman-ai-talent-warshttps://archive.is/20250808224658/https://www.bloomberg.com/news/articles/2025-08-07/tesla-disbands-dojo-supercomputer-team-in-blow-to-ai-efforthttps://fortune.com/2025/08/04/billionaire-anthropic-ceo-dario-amodei-ai-staffers-poaching-meta-mark-zuckerberg-100k-six-figure-salaries-openai-sam-altman/https://www.bbc.com/news/articles/c1e02vx55wpohttps://www.nytimes.com/2025/07/31/business/dealbook/meta-microsoft-ai-spending-shares.htmlhttps://www.techrepublic.com/article/news-meta-billion-dollars-ai-poaching-failed/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

Dwarkesh Patel is a writer, researcher & podcaster. The rise of AI marks the next great technological revolution, one that could reshape every aspect of our lives in just a few years. But how close are we to its golden age? And what warnings does the global AI race hold about the double-edged nature of progress? Expect to learn what Dwarkesh has realised about human learning and human intelligence from architecting AI learning, if AGI is right around the corner and how far away it might be, if most Job Displacement Predictions right or wrong, why recent studies show that tools such as ChatGPT make our brains less active and our writing less original, what Dwarkesh's favourite answer to AI's creativity question, what he biggest things about America/West that China doesn't understand, the best bull case for AI growth ahead and much more… Sponsors: See me on tour in America: ⁠https://chriswilliamson.live⁠ See discounts for all the products I use and recommend: https://chriswillx.com/deals Get 35% off your first subscription on the best supplements from Momentous at https://livemomentous.com/modernwisdom Get a Free Sample Pack of LMNT's most popular Flavours with your first purchase at https://drinklmnt.com/modernwisdom Get a 20% discount on Nomatic's amazing luggage at https://nomatic.com/modernwisdom Get the best bloodwork analysis in America at https://functionhealth.com/modernwisdom Timestamps: (0:00) Has AI Accelerated Our Understanding of Human Intelligence? (6:59) Where Do We Draw the Line with Plagiarism in AI? (12:13) Does AI Have a Limit? (17:29) Is AGI Imminent? (21:26) Are LLMs the Blueprint for AGI? (30:15) Retraining AI Based on User Feedback (34:57) What Will the World Be Like with trueAGI? (39:32) Are Big World Issues Linked to the Rise in AI? (46:06) Is AI Homogenising Our Thoughts? (51:10) How Should We Be Using AI? (56:17) Should We Be Prioritising AI Risk and Safety? (01:01:14) Why are We So Trusting of AI? (01:11:09) The Importance of AI Researchers (01:12:09) Where Does China's AI Progression Currently Stand? (01:26:26) What Does China Think About the West? (01:37:34) The Pace of AI is Overwhelming (01:42:42) What is Ignored by the Media But Will Be Studied by Historians? (01:50:41) Growing for Success (02:06:40) Dwarkesh's Learning Process (02:09:28) Follow Your Instincts (02:22:29) Digital-First Elections (02:28:02) Becoming Respected by Those You Respect (02:45:29) Find Out More About Dwarfish Extra Stuff: Get my free reading list of 100 books to read before you die: https://chriswillx.com/books Try my productivity energy drink Neutonic: https://neutonic.com/modernwisdom Episodes You Might Enjoy: #577 - David Goggins - This Is How To Master Your Life: https://tinyurl.com/43hv6y59 #712 - Dr Jordan Peterson - How To Destroy Your Negative Beliefs: https://tinyurl.com/2rtz7avf #700 - Dr Andrew Huberman - The Secret Tools To Hack Your Brain: https://tinyurl.com/3ccn5vkp - Get In Touch: Instagram: https://www.instagram.com/chriswillx Twitter: https://www.twitter.com/chriswillx YouTube: https://www.youtube.com/modernwisdompodcast Email: https://chriswillx.com/contact - Learn more about your ad choices. Visit megaphone.fm/adchoices