Podcasts about Artificial intelligence

Sophia Dew and Sofia Puccini are joined by Ruby Thelot, designer, artist, cyberethnographer, professor at NYU, and founder of 13101401, for a wide-ranging conversation about internet culture, AI, digital communities, and how technology is reshaping the way we relate to one another. Drawing on years of research into online behavior, Ruby explains how digital cultures form, why algorithms shape more than just what we see, and what AI is changing about creativity, communication, and identity. They discuss cyberethnography, online subcultures, "machinic taste," AI companions, social norms, internet language, and why Americans often say they dislike AI—even as they increasingly rely on it in everyday life.   Resources: Follow Ruby X: https://x.com/being_on_line Substack: https://beingonline.substack.com/ Follow Sophia on X: https://x.com/sophiadew Follow Sofia on X: https://x.com/schisofrenia Follow MTS on X: https://x.com/mtslive Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

As more AI-generated images and sounds fill our screens, our sense of reality is being distorted. In a special three-part series of Tech News Briefing, WSJ personal tech columnist Nicole Nguyen sits down with researchers, content creators and an AI character to ask how AI is changing our perceptions. This is episode one of TNB's “AI and the Blurring of Reality.” Sign up for the WSJ's free Technology newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

The race to build the most advanced artificial intelligence continues to dominate the headlines. On this week's On the Media, who does this new technology actually serve? Plus, how even critical media coverage can feed into the AI hype. [01:00]  Host Brooke Gladstone sits down with Cory Doctorow, journalist, activist, and author of Enshittification, on his new guide to seeing through the relentless, $16 trillion AI hype machine and understanding the technology for exactly what it is, rather than the outlandish stories told about it. [16:47] Brooke continues her conversation with Cory, and they discuss how the hype itself is keeping the AI industry afloat.  [28:47] Brooke asks Cory about his rejection of the notion that AI domination – of our jobs, our lives, our art, and more – is inevitable. Plus, they interrogate the role of the tech in a creative's life, and why AI art leaves us cold. Further reading / watching: The Reverse Centaur's Guide to Life After AI by Cory Doctorow On the Media is supported by listeners like you. Support OTM by donating today (https://pledge.wnyc.org/support/otm). Follow our show on Instagram, Bluesky, TikTok and Facebook @onthemedia, and share your thoughts with us by emailing onthemedia@wnyc.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Sarah Wang and Kimberly Tan are joined by Jesse Zhang and Ashwin Sreenivas, co-founders of Decagon, to discuss the evolution of enterprise AI agents, why the company increasingly relies on open-source models, and how it is helping some of the world's largest companies deploy AI in production. Decagon has become one of the fastest-growing AI companies by building agents that automate customer support, sales, and operational workflows. Jesse, Decagon's CEO, and Ashwin, its president, explain how the company is building enterprise AI at scale. They unpack why Decagon moved most of its inference to open-source models, how latency, evaluation, and fine-tuning shape production AI systems, and why enterprise AI requires far more than simply plugging into frontier models. The conversation also explores forward-deployed engineering, enterprise sales, AI's impact on jobs, and why application companies will continue to thrive alongside the foundation model labs.   Resources: Follow Jesse Zhang on X: https://x.com/thejessezhang Follow Ashwin Sreenivas on X: https://x.com/AshwinSreenivas Follow Sarah Wang on X: https://x.com/sarahdingwang Follow Kimberly Tan on X: https://x.com/kimberlywtan Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This month, Peter and Jeff dig into the AI question everyone's arguing about: Is this the internet in 1996 or the internet in 1999? They get into how the winners and losers may shake out, what AI could actually do to the broader economy and why oil prices are swinging. Plus, get their tip of the month. Twelve minutes, straight down the middle.  Hosted by Creative Planning's Director of Financial Planning, Jeff Stolper, and President, Peter Mallouk, this podcast takes a closer look into topics that affect investors. Included are in-depth discussions on financial planning issues, the economy and the markets. Plus, you won't want to miss each of their monthly tips!   Important Legal Disclosure: creativeplanning.com/important-disclosure-information/   Have questions or topic suggestions?  Email us @ podcasts@creativeplanning.com

Social Security Commissioner and IRS Commissioner Frank Bisignano joins Lisa Boothe for an in-depth conversation about modernizing America's largest government agencies, eliminating fraud, and bringing private-sector innovation to Washington. Drawing on decades of leadership at Citigroup, JPMorgan Chase, First Data, and Fiserv, Bisignano explains why he left the corporate world to serve in the Trump administration, how technology is transforming Social Security, and what Americans should know about the future of Trump Accounts for children.See omnystudio.com/listener for privacy information.

Artificial Intelligence has been used to reinterpret the enigmatic relic known as the Shroud of Turin to reveal the composite “Face of Jesus Christ.” This has happened before with 3D imaging but no one was trying to make it look this lifelike. Some Christians consider this a violation of the Second Commandment or graven image blasphemy as society finds itself unsatisfied with religion as it becomes more of a dream than a lifestyle. The only way to give Christianity its spark is to bring about the eschaton and with the right technology, the Second Coming can be simulated and the New World Order could commence. Only the Antichrist-driven technocrats would render the image of the beast or the counterfeit Christ and use it as a tool for divine rite. On this Ground Zero Rewind, Clyde Lewis talks with Pastor Paul Begley about RISEN ORIGINALLY AIRED ON: Aug 21, 2024

Plus: IBM says new research shows quantum computers can outperform conventional ones. And investors and analysts are awaiting Amazon's latest earnings. Danny Lewis hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Can you survive inside a star? The answer is stranger than “no.” Explore plasma storms, red giants, magnetic shields, and how future civilizations might turn stars into fortresses.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Colonizing Ocean Worlds: https://nebula.tv/videos/isaacarthur-colonizing-ocean-worlds-subaquatic-settlementsCheck out Gods & Monsters: https://nebula.tv/curiousarchive/gods-and-monsters?ref=isaacarthur

Can you survive inside a star? The answer is stranger than “no.” Explore plasma storms, red giants, magnetic shields, and how future civilizations might turn stars into fortresses.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Colonizing Ocean Worlds: https://nebula.tv/videos/isaacarthur-colonizing-ocean-worlds-subaquatic-settlementsCheck out Gods & Monsters: https://nebula.tv/curiousarchive/gods-and-monsters?ref=isaacarthur

Alex Rampell and Olivia Moore speak with Lassie cofounders Steijn Pelle and Frédéric Renken about bringing AI to one of the most overlooked parts of the economy: small businesses. Inspired by time spent working inside dental practices, Pelle and Renken set out to automate the administrative work that keeps healthcare providers away from patients. They discuss how AI agents are changing billing, insurance claims, patient payments, and other operational workflows, allowing practices to spend less time on paperwork and more time delivering care. The conversation explores AI agents, software that performs work rather than simply storing information, onboarding AI into real-world businesses, and why healthcare administration offers one of the biggest opportunities for automation. Along the way, they discuss product design, go-to-market strategy, and what it takes to build AI systems that operate reliably in complex business environments.   Resources: Follow Steijn Pelle on X: https://x.com/steijnpelle Follow Frédéric Renken on X: https://x.com/fredericrenken Follow Alex Rampell on X: https://x.com/arampell Follow Olivia Moore on X: https://x.com/omooretweets Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

As Big Tech's power continues to grow, it's more important than ever to understand how companies use their control over cloud infrastructure and services to shape more than just the digital world. Cecilia Rikap joins Paris Marx to discuss how these networks of corporate power operate, including how they are systematically used to influence global politics, the economy, and how society views the world.Cecilia Rikap is an Associate Professor at University College London's Institute for Innovation and Public Purpose and the author of The Rulers: Corporate Power in the Age of AI and the Cloud.The podcast is made in partnership with The Nation. Production is by Kyla Hewson. Support the show on Patreon.Also mentioned in this episode:You can now pre-order Paris's new book Hyperscale.Cecilia and Paris worked on a white paper offering a roadmap to reclaiming digital sovereignty.Support the show

What does it actually mean for a machine to “understand” the world? Are today's auto-regressive LLMs truly reasoning, or is statistical text prediction fundamentally distinct from genuine deliberative agency and causal inference? And how do we move away from brittle, post-hoc safety patches toward intrinsic, system-level alignment?This week begins Continual Learning, a new mini-series co-hosted with my friend and colleague, cognitive scientist Dr. Adam Safron of the Allen Discovery Center at Tufts University and the Active Inference Institute. For the last year, we've been working together with the support of Survival and Flourishing Fund to advance scientific understanding and silo-crossing conversation around AI capabilities, alignment, and regulation—centered on a special issue of Philosophical Transactions of The Royal Society A on World models in natural and artificial intelligence co-edited by Adam and Michael Levin. The next several episodes are a meaningful detour into this work.Over the coming season, we'll dive deep into cognitive neuroscience, complex systems science, the study of narratives, and Buddhist epistemology to explore what true world modeling entails. This episodes launches that investigation by identifying major major themes from the special issue and connecting dots between its papers. (Strap in, because we move a million miles an hour.) Some of the questions we raise include:* How do we rigorously define what a world model is—and isn't?* Do machines need goals, intrinsic motivation, and deliberation to truly think?* What is the relationship between world-modeling and agency?* Where can we look for evidence of emergent structure in scaling LLMs, and what does it mean if we don't find it?* How can we structure scientific collaboration to ask better questions about the future of human-machine co-evolution…and what might it take for machines to actively participate in that inquiry?Explore the entire open-access special issue here.And whether you read the papers or not, be sure to check out this illuminating interactive discourse map by Van Bettauer of Ideoscopic to help you navigate where these researchers agree, disagree, and point toward future study.(Long-time fans will also want to check out his re-imagined interface for AskFutureFossils.com, complete with simulated debates between my guests!)Subscribe for amazing conversations with Nadav Amir, John Krakauer, Fritz Breithaupt, Michael Levin, and many more!✨ Hire me to help you and your team identify your blind spots and make better sense✨ Support my research, writing, and community work with a tax-deductible donation✨ Become a founding member to access my online courses, including Jurassic Worlding and How To Live In The Future✨ Browse and buy the books we mention on the show at Bookshop.org✨ Stream and download my tunes at artist-owned music co-op Subvert.fm✨ Continual Learning theme song: “Substrate Dynamics” by Neon Chameleon✨ Learn more about how we're applying these ideas at Atlas Research Group, my team building sovereign infrastructure for social coherence and collective intelligenceChapters00:00 Teaser01:58 Intro06:04 We're finally doing this06:35 Adam's context on this series11:38 Michael's context on this series16:09 Bringing together this special issue20:34 The cognitive equivalent of an airplane wing?26:56 Connecting goals and intrinsic motivation31:29 Requisite diversity in scientific and machine intelligences38:41 Is there an “I” in AI, and does it need constraints?41:48 Does consciousness emerge, and how is it not capability?47:45 Misattributing mind vs. missing mind55:28 Why is it so hard to make an AI scientist?1:02:43 The promise of a new economy1:08:52 Embodiment and alternative architectures1:13:45 Where do we go from here?1:17:34 OutroOther MentionsActive Inference Symposium 2025 roundtable discussion with Karl J Friston, Michael Garfield, Adam Safron, Alexander Ororbia, Hongju Pae:https://www.youtube.com/watch?v=VTivWre-8KkRay Kurzweil — The Singularity is NearErik Hoel — The Overfitted Brain: Dreams Evolved to Assist GeneralizationW. Brian Arthur — The Nature of TechnologyNicholas Carr — The Glass CageKevin Kelly — The Handoff to BotsSteven Johnson — Revenge of The HumanitiesHumans On The Loop is committed to better collective sensemaking and the production of public goods. Thank you for your support! Learn more here. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit michaelgarfield.substack.com/subscribe

(July 30, 2026) Here’s what to know before you upload your medical data to an AI program. Sales are so low, California wineries are burning their Vineyards. Wait… Gen Z wants flip phones? Sending armed agents to reporters’ homes is a threat to free press and whistleblowers.See omnystudio.com/listener for privacy information.

Send us Fan Mail Hi, Richard Wilson here, founder of Family Office Club. I just wrapped our Monthly Live Forum on AI, and I wanted to make sure this one actually gets used, not just watched.Here's what I walked through in this session: why context engineering matters two to three times more than prompt engineering right now, and how to actually build it into your own workflow instead of just chatting with ChatGPT or Claude like it's a search engine. I showed you the three levels of AI maturity most founders get stuck at level one on, and how we built what I call "Intelligence Centers," one Claude project per role on my team, each with four to seven tools built specifically for that person's job. No more guessing which tool to use for what.I also introduced you to Clara, our AI pitch architect who will critique your one-liner, your pitch deck, and your due diligence questionnaire against 1,500 investor talks recorded on our stages. And Dewey and Vetti, our due diligence and real estate stress-testing tools that can rank ten pitch decks against each other in minutes. I explained why a one-line pitch, a 60 to 90 second founder video, and a 30-question due diligence FAQ will put you ahead of 99% of the people currently raising capital, because almost nobody has all three in place.We also got into real questions from the room: how to structure a deal when you don't have a track record or a full team yet, how family offices actually vet trust before they'll wire you a dollar, and why the relationship matters roughly twice as much as the merit of the deal itself.A little about us, so you know why I'm confident saying any of this: I started Family Office Club 19 years ago in 2007. We've hosted 300+ investor events, we host 30+ events a year across the US, we've got 16 million registered members across our LinkedIn groups, 18.5 million followers across social, and our community has closed over $1 billion in deals together. We built 50+ AI tools specifically for founders and investors, based on 1,500 investor talks from our own stages, not random internet data.If you want the full deployment kit for what I showed here, meaning the exact Claude project instructions, prompts, and skills my team uses daily, or you want to see our next event schedule, here's how:Apply for membership and unlock the AI tools + member portal: https://FamilyOffices.com/JoinSee our next in-person investor event: https://FamilyOffices.comDrop your biggest AI or capital-raising question in the comments below and I will personally reply. I read every comment on these training videos.Richard C. WilsonCEO & Founder, Family Office ClubCall/Text: (305) 333-1155Richard@FamilyOffices.comWhat's the one thing slowing down your capital raise right now? https://familyoffices.com/

Are you tired of the relentless AI marketing hype but know you can't afford to ignore it? Discover how to stop blindly applying AI and start mastering it as a malleable "design material" to build impactful, user-centered services .It's time to stop buying into the stories big tech companies want us to believe about what Artificial Intelligence can and can't do. Slapping AI mindlessly onto every project doesn't just create bad user experiences. It can do real harm.To set a better example for the service design industry, host Marc sits down with Ovetta Sampson. With a resume that includes Director of UX for Machine Learning at Google and AI design leadership roles at Microsoft and Capital One, Ovetta doesn't just talk theory. She runs Right AI to help teams adopt AI safely, responsibly, and effectively. In this conversation, she breaks down exactly how to understand AI's unique properties, navigate its limitations, and mold it into exactly what you need.In This Episode:The Design Material Mindset: How to stop fearing AI and start shaping it like clay to get the outcomes you want.Steering the Machine: Practical techniques for guiding generic LLMs to reliably produce high-quality, specific results.The Context Crisis: Why understanding your users' real-world context is about to become more important than ever before.When "Wrong" Becomes Dangerous: Why AI will always make mistakes, and how to identify the exact point where those errors become harmful.Breaking the Model: Why you need to start "messing around" and intentionally trying to break AI tools to build your own grounded mastery.If you found value in this episode, please hit the Subscribe button on YouTube, Spotify, or Apple Podcasts so you never miss a conversation. Share this episode with a fellow service designer who needs to hear this!As always, enjoy, and keep making a positive impact!~ Marc[ 1. GUIDE ]00:00 Intro and AI Sycophancy 03:15 Mindless vs. Mindful AI 06:45 Dangers of Automation Bias 10:00 The Humanizing Trap 17:45 Design as a Verb 24:30 Emergent AI Behavior 27:30 AI Confidence Levels 36:15 The Illusion of AI Memory 39:00 Principle 1 of Mindful AI 43:30 Library vs. Netflix Analogy 49:45 Designing for Failure 55:15 The Socio-Technical Challenge 01:01:45 Advice for Designers 01:06:00 Learning Resources 01:09:00 Redefining the Designer 01:11:15 Outro [ 2. LINKS ]LinkedIn - https://www.linkedin.com/in/ovettasampson/ MindfulAI Masterclass: https://www.ovetta-sampson.com/mindfulai-masterclass[ 3. CIRCLE ]Join our private community for in-house service design professionals. ⁠https://servicedesignshow.com/circle [4. FIND THE SHOW ON]Youtube ~ https://go.servicedesignshow.com/259-youtube Spotify ~ https://go.servicedesignshow.com/259-spotify Apple ~ https://go.servicedesignshow.com/259-apple Snipd ~ https://go.servicedesignshow.com/259-snipd

Adatépítész -az első magyar datapodcast Minden ami hír, érdekesség, esemény vagy tudásmorzsa az  adat, datascience, adatbányászat és hasonló kockaságok világából. Become a Patron! Anthropic cikk Turbovec

Inspired Choices for Business Growth with Christine McIver  Most conversations about AI focus on technology. This one doesn't. The Real AI You Should Be Worried About isn't artificial intelligence, it's your internal programming, it's your Actual Intelligence. The patterns, beliefs, and automatic responses running your decisions without you even realizing it. Not recognizing what intelligence you have that you are ignoring or have become so familiar that you undervalue it. Hosted by Christine McIver, this episode challenges the fear around external AI and redirects the focus inward—where your real power lies. 5 Key Takeaways / Highlights The most important AI in your business is your Actual Intelligence—not Artificial Intelligence. Your wisdom, awareness, experience, intuition, creativity, and unique perspective are the foundation of every meaningful business decision. Artificial intelligence is a tool; your actual intelligence is the true driver of your business.   Stop undervaluing the brilliance that has become familiar to you. The knowledge, skills, and insights you use every day often become so natural that you no longer recognize their value. Yet those very qualities are what make you unique and cannot be replicated by technology.   Business growth begins with challenging your own programming. Your beliefs, habits, automatic responses, and familiar ways of operating shape every decision you make. Continually questioning those patterns and choosing intentional growth strengthens your leadership and expands your business potential.   Lead your business—don't let technology lead you. Artificial intelligence should support your thinking, not replace it. The quality of the results you receive from any AI tool depends on the quality of your thinking, your questions, your leadership, and your ability to discern what aligns with your vision.   Your greatest competitive advantage will always be you. No technology can replace your lived experience, creativity, relationships, leadership, or the unique message you are here to bring to the world. When you intentionally develop your actual intelligence, every tool—including AI—becomes more powerful because it is guided by your wisdom rather than replacing it.   CEO Without Apology Author Christine McIver   Amazon.com – https://www.amazon.com/dp/1997615045 Amazon.ca – https://www.amazon.ca/dp/1997615045     ~ More About Inspired Choices for Business Growth with Christine McIver ~  Christine McIver is a Business Growth Specialist, Inspirational Speaker, TV & Radio Personality, and Founder & CEO of Inspired Choices Network, ICN Signature Summits, and ICN Publishing. She empowers entrepreneurs and business leaders to break through limitations, make bold decisions, and create sustainable business growth with greater confidence, clarity, and impact. Known for her direct, inspiring, and results-focused approach, Christine has helped thousands transform the way they lead, grow, and succeed. If you're ready to stop settling for "good enough" and start creating the business and life you know are possible, Christine will challenge you to take the actions that turn possibility into reality.    ChristineMcIver.com   https://christinemciver.com    Email   christine@christinemciver.com    YouTube   www.youtube.com/@InspiredchoicesBusinessGrowth    LinkedIn   www.linkedin.com/in/christinemciver    Instagram   www.instagram.com/christine_mciver_ceo    Facebook   www.facebook.com/ChristineMcIverCEO       TikTok   www.tiktok.com/@christine_mciver   Inspired Choices for Business Growth ~ Christine McIver  https://www.inspiredchoicesnetwork.com/podcast/inspired-choices-for-business-growth-christine-mciver/

In honor of the release of her audiobook Love at First Prompt, Bridget Todd breaks down the questions we should be asking about the relationships people form with AI, the attempts to legislate around them, and the companies profiting from the desire for emotional connection.See omnystudio.com/listener for privacy information.

Plus: Meta CEO Mark Zuckerberg calls for policies that accelerate AI development. And DoorDash is building its own drone delivery network. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Justine Moore, partner at Andreessen Horowitz, joins New Economies to explore the rapid evolution of generative media and why AI-native content is reaching an inflection point. They discuss the rise of AI micro-dramas, how creators are building entirely new forms of entertainment, and why the biggest opportunities may lie not in replacing Hollywood—but in expanding who gets to create. They also cover the future of creator tools, AI agents for individuals, generative video, AI "slop," the economics of AI-native studios, and where founders should be building next as consumer AI enters a new phase.   Resources: Follow Justine Moore on X: https://x.com/venturetwins Watch the episode on YouTube: https://www.neweconomies.co/p/justine -moore-andreessen-horowitz Listen to more from New Economies: https://www.neweconomies.co/ Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Thanks to AI, it's easier than ever to avoid reading books — but that convenience may come with a cost. IDEAS explores how our digital landscape, coupled with the decline of reading, is changing the way we think. *This episode originally aired on Feb. 19, 2026.If you like this episode, listen to our podcast with Geoffrey Hinton, the 'godfather of artificial intelligence' who says AI must develop empathy and 'maternal instincts' or we risk human extinction.Guests in this episode:Adriaan Van der Weel is a professor emeritus by special appointment at the Leiden University Centre for the Arts in Society. He's also the co-author of The Ljubljana Manifesto on Higher-Level Reading.Maryanne Wolf is director of the Center for Dyslexia, Diverse Learners, and Social Justice at the UCLA Graduate School of Education and Information Studies, and the author of Reader, Come Home: The Reading Brain in a Digital World (2018).Naomi Baron is a professor emerita of World Languages and Cultures at American University and the author of Reader Bot: What Happens When AI Reads and Why It Matters (2026).Leah Sargeant is an author and senior policy analyst at the Niskanen Center.Shannon Vallor is the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence at the Edinburgh Futures Institute (EFI) at the University of Edinburgh, where she is also appointed in Philosophy. She is the author of The AI Mirror: How to Reclaim Our Humanity in an Age of Machine Thinking (2024).

OpenAI CEO Sam Altman believes the AI singularity may already be underway—not as a sudden event, but as a gradual transformation driven by increasingly capable AI systems. While supporters see current advances as evidence of a new technological era, many experts caution that today's AI remains limited and that true artificial general intelligence has not yet been achieved. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

FILE 16. Headline: The AI Bubble: China's Strategic Intellectual Property Theft Guest: Brandon Ward and Gordon Chang Summary: China is allegedly using stolen American intellectual property to train its artificial intelligence models, such as Moonshot's Kimmy K3. Brandon Ward suggests this is a strategic move to collapse the inflated market value of the American AI sector. Gordon Chang warns that despite export bans, Chinese firms continue to acquire high-end Nvidia chips, complicating US strategic plans and economic dominance while threatening a potential future shooting war.

Plus: Visa cuts headcount by about 7%. And Korean stocks tumble on doubts over AI. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Last week, World Labs announced its acquisition of SceniX, bringing together two teams working on one of AI's biggest unsolved problems: how to give machines a true understanding of the physical world. Martin Casado sits down with Fei-Fei Li, co-founder and CEO of World Labs, creator of ImageNet, and pioneer of spatial intelligence, alongside Yunzhu Li, co-founder of SceniX and assistant professor at Columbia University. They discuss why World Labs acquired SceniX, how simulation can unlock the next generation of robotics, and why training robots may require a fundamentally different approach than training language models. The conversation explores real-to-sim-to-real pipelines, world models, robotics foundation models, evaluation, synthetic data, and why the future of AI depends not just on understanding language—but on understanding and interacting with the physical world.   Resources: Follow Fei-Fei Li on X: https://x.com/drfeifei Follow Yunzhu Li on X: https://x.com/YunzhuLiYZ Follow Martin Casado on X: https://x.com/martin_casado Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

WHO REALLY CONTROLS AI?Fan favorite and returning guest Ken from the We Are 1 Podcast joins Robert Kalil on Typical Skeptic Podcast #2736 for another wide-ranging journey down the rabbit hole!This time, nothing is off the table.We'll dive into Artificial Intelligence and one of the biggest questions surrounding the technology: Who really controls AI — and who ultimately determines what it is allowed to know, say and do?Is AI simply a tool programmed by human beings, or are we creating something that could eventually operate beyond the intentions of its creators?Ken and Rob will also discuss the mysterious July 8th sunlight phenomenon, robotics and emerging technology, the growing relationship between AI and machines, the Dead Internet Theory, predictive programming, simulation theory, UFO disclosure, technological surveillance and whatever other conspiracies emerge during the conversation.We'll also open things up for LIVE AUDIENCE Q&A, so bring your questions, theories and rabbit holes!TOPICS INCLUDE:

Plus: Oil prices fall on hopes for an agreement to reopen the Strait of Hormuz. And Coca-Cola stock climbs following a strong second-quarter earnings report. Imani Moise hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailCan AI answer your customers without pushing them away? David Karandish has automated support for 20,000 companies, and he says deflection should make the experience better, not worse.David Karandish, founder and CEO of Capacity, joins Yanique Grant to unpack how to bring AI into customer support the right way. After selling Answers Corp for $960 million, David built Capacity into an omni-channel support automation platform serving roughly 20,000 customers. In this episode he shares the design principles that keep automation human, why your first AI project should be a small, provable win, and how AI agents are now running entire companies from finance to marketing.In this episode:- The design principles that make AI deflection improve the customer experience instead of frustrating people, from great escalation paths to leading with empathy - Why human behavior is largely universal across regions, and where support questions actually differ - What the $960M Answers.com journey taught David about people who are truly stuck and have nowhere to turn - The single most practical first step for any support leader: go get your small win, then iterate - How builder agents let a complete novice spin up workflows, integrations, and CSAT surveys just by askingFeatured resources:Book: Principles by Ray Dalio — a first-principles breakdown of how Dalio built one of the most successful investment firms of all time. Foundational AI models — Google Gemini, OpenAI, and Anthropic's Claude, used across the business. Jira — for tracking development tickets; David uses LLMs to analyze time-in-stage when off-the-shelf plugins fall short. Capacity — an AI-powered support automation platform that deflects emails, calls, and tickets across voice, SMS, WhatsApp, web, and email. ~20,000 customers, 250+ app integrations.Connect with the guest: Website: capacity.com Email: david@capacity.comFollow the show: X @NavigatingCX and join our private Facebook group, Navigating the Customer Experience Community. Hosted by Yanique Grant.

What happens when the brightest minds in legal, technology, and innovation come together to shape the future of our profession? Welcome to the Legally Speaking Podcast Legal Tech Talk 2026 miniseries. As the UK's number one legal podcast and show ranked in the top 1% of podcasts globally, we're delighted to be returning as the official media partner for Legal Tech Talk for the third time. Having supported this event since the beginning. We've witnessed firsthand how it has become Europe's largest legal technology conference, bringing together the people, ideas, and innovations transforming the legal industry. Across this special series, we'll be speaking with some of the world's leading legal professionals, founders, technologists, change makers to explore what's next for law. Because our mission remains the same. Inspiring legal minds, transforming legal futures. Let's get into it. In the final minisode of this series, we get the chance to speak with Monika Koestner. She is the co-founder of Artificial Intelligence for Global Good. She's focused on using AI to expand access to justice, helping legal teams handle claims more efficiently and giving individuals a fairer chance against well-resourced opponents. Her core message: AI should support—not replace—lawyers, and the legal profession needs to adapt quickly to make the most of it.So why should you be listening in? You can hear Rob and Monika discussing:- AI Augmenting Lawyers, Not Replacing Them- Learning AI Fast While Adapting Continuously- Legal and AI Collaboration Multiplying Progress- Technology Scaling Access to Justice- Adaptability Defining Future Legal Leaders.Connect with Monika Koestner here - https://www.linkedin.com/in/monika-koestner/

In this podcast, Greg Voisen sits down with Eduardo M. Arroyo, author of AI and I: Merging the Horizon of Human Ingenuity and Artificial Intelligence, to tackle the high-stakes question keeping creators, professionals, and thinkers awake at night: Is artificial intelligence here to replace us, or to amplify who we truly are? Arroyo breaks past the sensationalized headlines to reveal what actually happens at the intersection of human creativity and machine intelligence. If you've ever wondered how to stay uniquely valuable in an automated world—or how to harness AI without losing your human edge—this conversation unlocks the mindsets and strategies you need to thrive on the new horizon. Together, they pull back the curtain on the subtle psychological shifts required to co-exist alongside hyper-intelligent systems rather than fear them. From practical daily applications to big-picture philosophy, Arroyo challenges us to rethink our definition of productivity and discover where true human brilliance resides. By the end of this episode, you'll stop seeing AI as a threat and start viewing it as the ultimate force multiplier for your own potential.

"The Declaration meets the machine age" In this episode of The Declaration at 250, Michael McConnell frames a question the Founders never confronted: if the Declaration grounds rights in human nature, what happens when machines can generate persuasive, human-like language at scale? Constitutional scholar Alexander Tsesis argues that the Declaration's conception of rights is inherently human-centered—rooted in consciousness, moral agency, intentionality, and the capacity to participate in a constitutional republic—so AI systems are not and should not become First Amendment rights-holders. He warns that treating large language models as protected “speakers” would be a major break from the Declaration's principles and could make ordinary democratic regulation—transparency requirements, labeling of synthetic content, safety rules, data practices, and restrictions on deceptive election deepfakes—far harder by forcing courts into strict scrutiny review. Stanford historian Anne Twitty broadens the lens by situating abolitionists' use of the Declaration within wider 19th-century conflicts over speech and constitutional meaning, reminding listeners that rival traditions—including censorship and suppression—also shaped American practice. She also presses a key tension in Tsesis's framework: abolitionists championed not only the right to speak, but the public's right to hear, circulate, and access contested ideas (as seen in the abolitionist postal campaign and opposition to the congressional gag rule). That listener-centered strand, she suggests, could potentially be invoked by scholars arguing for some constitutional shelter for AI-generated communications—an argument Tsesis acknowledges but ultimately resists by emphasizing that the First Amendment's core purpose is protecting human expression and self-government, not machine output. Connect: Episode Transcripts >>> Stanford Legal Podcast Website Stanford Legal Podcast >>> LinkedIn Page Stanford Constitutional Law Center >> Website Stanford Law School >>> Twitter/X Stanford Lawyer Magazine >>> Twitter/X Chapters:[00:00:26] Chapter 1- Framing Question: Do constitutional rights grounded in “human nature” apply to AI? Host Michael McConnell introduces the episode's core dilemma: the Declaration's natural-rights logic underwrites later constitutional protections like free speech—so where does that leave generative AI? [00:01:18] Chapter 2 - Thesis: Why Tsesis says AI can't be a First Amendment rights-holder Alexander Tsesis argues the Declaration and Constitution are human-centered: AI lacks consciousness, moral agency, and political personhood, so extending rights to LLMs would depart from founding principles and hinder regulation. [00:10:08] Chapter 3 - Regulatory Stakes: What happens if courts treat LLM outputs as protected “speech”? Tsesis warns that First Amendment coverage for AI could trigger strict scrutiny and undermine laws on transparency, labeling, safety, data practices, and election deepfakes—citing recent doctrine and cases like Reed v. Town of Gilbert. [00:52:35] Chapter 4 - Historical Challenge: Do abolitionists' “right to hear” arguments support listener-centric AI rights? Historian Anne Twitty complicates the record: abolitionists elevated the Declaration, but censorship traditions were strong; she highlights abolitionist campaigns (postal campaign, gag rule) to argue listener rights might bolster pro-AI speech theories. [01:04:17] Chapter 5 - Tsesis Response: Listener rights matter—but is the First Amendment still speaker-centered? Tsesis agrees the right to receive information is important, yet maintains free speech is fundamentally about protecting human intention and self-expression, not conferring constitutional status on machine outputs. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nutrition plays a critical role in cancer care, yet it is often overlooked. Many patients experience weight loss, muscle wasting, treatment-related side effects, and changes in appetite that can affect their ability to tolerate therapy and maintain quality of life. Although nutrition specialists can help manage these challenges, access to specialized nutritional care remains limited in many healthcare settings. An editorial published in Volume 17 of Oncotarget, titled “Artificial intelligence in nutritional oncology: From isolated screening tools to agentic intervention systems,” explores how advances in artificial intelligence (AI) could help address this gap. The editorial was written by Arnab Sarkar and corresponding author Yashbir Singh-Wolkenhauer, who is affiliated with the Department of Radiology, Mayo Clinic, Rochester, Minnesota. Rather than presenting new clinical trial data, the authors outline a future vision in which AI systems move beyond isolated tasks to continuously support nutritional care throughout a patient's cancer journey. Full blog post - https://www.oncotarget.org/2026/07/28/artificial-intelligence-could-transform-nutrition-care-for-cancer-patients/ DOI - https://doi.org/10.18632/oncotarget.28874 Correspondence to - Yashbir Singh-Wolkenhauer - singh.yashbir@mayo.edu Abstract video - https://www.youtube.com/watch?v=sVKhRSr5xaY Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.28874 Subscribe for free publication alerts from Oncotarget - https://www.oncotarget.com/subscribe/ Keywords - cancer, artificial intelligence To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us on social media: Facebook - https://www.facebook.com/Oncotarget/ X - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/@OncotargetJournal LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Spotify - https://open.spotify.com/show/0gRwT6BqYWJzxzmjPJwtVh MEDIA@IMPACTJOURNALS.COM

Want to learn more about systematic trading? Click here to watch the FREE Masterclass!Artificial Intelligence can write code, analyze vast amounts of information, and generate ideas in seconds. But can it also build a truly reliable Trading System that is ready to go live? Today, tools such as ChatGPT, Claude, and Gemini seem to offer enormous potential for trading. We can ask AI to develop a strategy, write the corresponding code, and even generate backtest results. However, this does not necessarily mean that the results are accurate.At Unger Academy, we have tested Artificial Intelligence for developing Trading Systems and tools designed to support traders in their work. The results were interesting, but they also revealed some significant limitations. In one of our first tests, for example, we asked AI to develop an intraday strategy for Crude Oil.The system returned seemingly accurate data and performance metrics. However, when we analyzed the results, we discovered that the backtest had been conducted using data that did not match the market's actual historical performance.This is precisely the problem: AI can produce convincing answers even when the information it uses is incorrect. In trading, relying on unverified results can be particularly dangerous. A seemingly profitable strategy could be based on inaccurate data, unrealistic trading conditions, or calculations that fail to account for commissions, slippage, and liquidity.This does not mean that AI in trading is useless. On the contrary, it can be an extremely powerful tool for generating ideas, writing and debugging code, automating certain tasks, and accelerating the development of new tools. However, using AI in trading correctly requires the skills needed to formulate the right prompts, verify the results, and identify potential errors. Moreover, a single Trading System, even a valid one, is not a complete trading solution. Building a more robust approach requires diversified strategies, reliable data, testing, validation, risk management, and a structured development process.Artificial Intelligence can therefore support traders and make their work more efficient, but it cannot replace knowledge, methodology, and experience. In this video, Andrea Unger, 4-Time World Trading Champion, explains what AI can currently do in trading, its main limitations, and how it can be used within a controlled and informed development process. Enjoy!

Plus: chip maker CXMT becomes the most valuable company listed in mainland China in its debut. And some U.S. companies plan to increase headcount despite AI fears. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus: Apple approaches $5 trillion market cap. And AstraZeneca says it's on track to hit its revenue target for 2030. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Steven Sinofsky joins Theo Jaffee and Sofia Puccini for a conversation on AI regulation, open-source models, and what history can teach us about technological revolutions. Drawing on decades of experience leading products at Microsoft, Sinofsky argues that governments are rushing to regulate AI before they fully understand the technology, risking innovation in the process. They discuss the "precautionary principle," why open source has historically accelerated innovation, the role of regulation in emerging technologies, the AI competition between the U.S. and China, and why existing laws may already address many of the risks people attribute to AI.   Resources: Follow Steven Sinofsky on X: https://x.com/stevesi Follow Theo Jaffee on X: https://x.com/theojaffee Follow Sofia Puccini on X: https://x.com/schisofrenia Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Plus, why a decline in oil prices may not last. And, Nvidia invests in an AI lab co-founded by former OpenAI executive Ilya Sutskever. Alex Ossola hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Summary In this episode, Andy welcomes back his friend Stuart Taylor, a PMO leader and PMI PMO Awards judge, author of Becoming the Project Manager. Most of us didn't grow up dreaming of leading projects. We drifted into the role, and then discovered it's far less about plans and methodologies than it is about people, pressure, and learning to lead while you yourself still feel unsure. Stuart shares the story behind the book, including the university project where he publicly chastised a teammate and the response from his dad that changed how he understood leadership. He and Andy dig into the real value and limits of PM certifications, why AI can help you communicate but can't replace the human part, the stakeholder questions younger Stuart was afraid to ask, what his mentor Wayne taught him about proximity and follow-through, and why a new sponsor has to be sold on your project rather than assumed into it. You'll also hear the 30-minute CV rule and the trouble it once caused him. If you're looking for an honest, human look at what it actually takes to become the project manager, this episode is for you! Sound Bites "Well, now that you've reprimanded that person, you do realize you've got to go and pick them back up again?" "So going out into the world with this as my toolkit, and I thought it was a toolkit, but actually it turned out to be more like a life raft because I ended up clinging onto it without reasoning at an early point in my career." "There's an awful lot that falls between the processes, and that's what the early part of the book is really exploring." "I don't believe there's great value in repeatedly recycling the same learning over and over and over again. I think there's much greater value in taking that energy and going to learn something about your industry, the, actual industry that you're working in." "And also, I should add, you will have greater value to them by being there too, because you're the interesting change person in the room then, rather than one of another 200 change people walking around all talking about the same methodologies." "So be the person who is not avoiding hearing about challenges, but actively seeking them out, and cataloging them, and managing them." "Something else I've learned: they don't like you tiptoeing around them." "But if anybody's having to go into the office more frequently now, go and spend some of that time sitting with the people whose world you are changing." "But if your own leader, the person who's supposed to be championing you in the organization just doesn't get it, then you've got an impossible task on your hands." "When your sponsor goes or leaves and somebody else comes in and replaces them, don't just assume that, that because they've now been told they're gonna have to be the sponsor of your project, that they understand it and they can see the value in it." "Every project that you work on, the benefits, they are your accomplishments." "There is no point in being loyal to organizations. Be loyal to people." Chapters 00:00 Introduction 01:56 Start of Interview 02:15 Growing Up in Walsall and Learning Leadership from Dad 07:15 Drifting Into Project Management 09:06 When the Methodology Becomes a Life Raft 10:14 Why the Playbook That Worked Elsewhere Fails Here 11:49 Will AI Create PMs Who Look Prepared but Aren't? 13:37 Using AI to Understand a Difficult Stakeholder 15:31 The Value and Limits of PM Certifications 17:44 The Talent Triangle and Learning Your Industry 19:34 Stakeholders Are People, Not Org Charts 20:46 Curiosity and Asking Better Questions 21:54 Stop Tiptoeing: Busy Stakeholders Want the Point 22:55 What Wayne the Mentor Taught Stuart to Notice 25:47 Go Sit With Operations 28:19 The Power of Proximity 29:33 Sponsorship and Why PMOs Collapse 34:18 Earning Support and Managing Up 35:07 When a New Sponsor Takes Over 37:08 Keep Your CV 30 Minutes From Ready 39:39 When the 30-Minute Rule Got Stuart in Trouble 41:28 Project Lessons That Carried Into Family Life 43:23 End of Interview 43:58 Andy Comments After the Interview 47:08 Outtakes Learn More You can learn more about Stuart and his work at InfluentialPMO.com. For more learning on this topic, check out: Episode 474, which is an earlier and pretty candid conversation with Stuart about LinkedIn, careers, and AI. Episode 429 with Bill Dow. Bill and Andy talk about the signs that your PMO is going to fail, and you don't have to be in a Project Management Office to get value out of that discussion. Episode 441 with Michaela Flick. A discussion on the human side of project management that resonates with much of what you hear from Stuart. Chat with PMeLa You can chat directly with PMeLa, ;the podcast's AI person, to get episode recommendations and answers to your project management and leadership questions. Visit PeopleAndProjectsPodcast.com/PMeLa to chat with her. Join Us for LEAD52 I know you want to be a more confident leader–that's why you listen to this podcast. LEAD52 is a global community of people like you who are committed to transforming their ability to lead and deliver. It's 52 weeks of leadership learning, delivered right to your inbox, taking less than 5 minutes a week. And it's all for free. Learn more and sign up at GetLEAD52.com. Thanks! Thank you for joining me for this episode of The People and Projects Podcast! Talent Triangle: Business Acumen Topics: Project Management, Leadership, Stakeholder Management, Sponsorship, PMO, Mentoring, Career Development, Certifications, Artificial Intelligence, Communication, Influence, Professional Growth The following music was used for this episode: Music: Brooklyn Nights by Tim Kulig License (CC BY 4.0): https://filmmusic.io/standard-license Music: Fashion Corporate by Frank Schroeter License (CC BY 4.0): https://filmmusic.io/standard-license

What if your voice wasn't actually… your voice?In this eye-opening (and occasionally hilarious) episode, Anne welcomes back tech expert and self-proclaimed “nerdy best friend” Beth Z (YourNerdyBestFriend.com) for a fascinating conversation about AI voice cloning, deepfakes, and why your authentic voice may be more valuable than ever. From AI-generated songs to scary scams, Beth explains what's possible today, and most importantly, what we all need to know to stay safe. Spoiler alert: Beth cloned Anne's voice for the intro, and it's just weird enough to make you question everything.In This Episode, We Talk About: The fun side of AI-generated songs, content, and creativity  The frightening ways scammers are using cloned voices  Why everyone need a “safe word”  How to protect yourself from deepfakes and AI impersonation  Why skepticism and human connection matter more than ever  The truth about detecting AI-generated audio and video Connect with Beth:  YourNerdyBestFriend.comBeth Z, “Your Nerdy Best Friend,” helps people make sense of emerging technology with humor, practicality, and zero jargon. She explores the tools shaping our future and teaches audiences how to use technology wisely while staying safe and human.Anne Bonney is a keynote speaker and emcee who helps organizations lead through change by building resilience, emotional intelligence, and courageous communication.

On Monday's show: Katy ISD is banning the use of AI by elementary school students. The district's board also set limits on AI use by middle and high school students in a decision that stands in sharp contrast to Houston ISD's plans. And we recap a Congressional forum in Houston over ICE tactics.Also this hour: We dig deeper on the rights of renters in Greater Houston.Then, a medical diagnosis kept Houstonian Ginger Kerrick from ever being an astronaut. It didn't, however, stop her from making history at NASA. Her story is among those told in a PBS documentary series called Once Upon a Time in Space, which is airing this month on Houston Public Media, TV 8.And we recap Sunday's Baseball Hall of Fame induction ceremony, which features more than one former Astros players, and consider which current members of the team could someday join them in the hall.Watch

The Moon may be dusty and desolate, but its future could be full of traffic. In this extended edition, we explore how mass drivers, rockets, space elevators, and orbital logistics could turn the Moon into the industrial gateway of the Solar System.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch Mad Kings: https://nebula.tv/madkings?ref=isaacarthurVisit our Website: http://www.isaacarthur.netJoin Nebula: https://go.nebula.tv/isaacarthurSupport us on Patreon: https://www.patreon.com/IsaacArthurSupport us on Subscribestar: https://www.subscribestar.com/isaac-arthurFacebook Group: https://www.facebook.com/groups/1583992725237264/Reddit: https://www.reddit.com/r/IsaacArthur/Twitter: https://twitter.com/Isaac_A_Arthur on Twitter and RT our future content.SFIA Discord Server: https://discord.gg/53GAShECredits:Mass Drivers on the Moon: Enabling a Lunar EconomyWritten, Produced & Narrated by: Isaac ArthurEditor: Phil SwanGraphics:Apogii.ukAnthrofuturismJeremy JozwikSergio BoteroPhil SwanSelect imagery/video supplied by Getty Images Music Courtesy of Epidemic Sound http://epidemicsound.com/creatorChapters0:00 Intro0:09 Why the Moon, Why Launch?4:12 Mass Drivers: The Basics and the Vision8:24 Building the Lunar Launch Rail13:15 The Big Advantages: Why Mass Drivers—And Why the Moon?20:09 Challenges and Engineering Considerations28:29 Rockets and Space Elevators: Friends or Rivals?31:06 The Logistics Web of the Moon32:30 The Roadmap: From Testbed to Trade Empire34:28 Mad Kings35:35 The Moon as Our First Cosmic Freight TerminalSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Moon may be dusty and desolate, but its future could be full of traffic. In this extended edition, we explore how mass drivers, rockets, space elevators, and orbital logistics could turn the Moon into the industrial gateway of the Solar System.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch Mad Kings: https://nebula.tv/madkings?ref=isaacarthurVisit our Website: http://www.isaacarthur.netJoin Nebula: https://go.nebula.tv/isaacarthurSupport us on Patreon: https://www.patreon.com/IsaacArthurSupport us on Subscribestar: https://www.subscribestar.com/isaac-arthurFacebook Group: https://www.facebook.com/groups/1583992725237264/Reddit: https://www.reddit.com/r/IsaacArthur/Twitter: https://twitter.com/Isaac_A_Arthur on Twitter and RT our future content.SFIA Discord Server: https://discord.gg/53GAShECredits:Mass Drivers on the Moon: Enabling a Lunar EconomyWritten, Produced & Narrated by: Isaac ArthurEditor: Phil SwanGraphics:Apogii.ukAnthrofuturismJeremy JozwikSergio BoteroPhil SwanSelect imagery/video supplied by Getty Images Music Courtesy of Epidemic Sound http://epidemicsound.com/creatorChapters0:00 Intro0:09 Why the Moon, Why Launch?4:12 Mass Drivers: The Basics and the Vision8:24 Building the Lunar Launch Rail13:15 The Big Advantages: Why Mass Drivers—And Why the Moon?20:09 Challenges and Engineering Considerations28:29 Rockets and Space Elevators: Friends or Rivals?31:06 The Logistics Web of the Moon32:30 The Roadmap: From Testbed to Trade Empire34:28 Mad Kings35:35 The Moon as Our First Cosmic Freight TerminalSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this conversation, Anne Neuberger, former U.S. Deputy National Security Advisor for Cyber and Emerging Technology, currently General Partner and Head of Global Affairs at venture capital powerhouse Andreessen Horowitz, joins What's Your Number hosts Yael Wissner Levy and Yonatan Adiri to discuss how AI, cyber warfare, drones, and defense tech are reshaping geopolitics. As technology, commercial investment, and national security become increasingly intertwined, what will determine which countries, and which companies, thrive in this new era and how core values determine their use. ___ Subscribe here to: What's Your Number? ___ Call Me Back is made possible by our subscribers. If these conversations are where you turn to understand Israel and the Jewish world, consider joining them. It's what keeps this show going. Become a Subscriber - Inside Call me Back ____ In this episode: - The new ingredients of national power - Why supply chains became a national security issue - The AI debate between Washington and Silicon Valley - What Israel and Ukraine teach the world about defense tech - Is the U.S.-Israel alliance changing? - Can Israel withstand growing divestment pressure? - The next breakthroughs in AI and cyber - Personal lessons learned from history from the Holocaust to Entebbe  More Ark Media: Want to join Ark Media? Check out our careers page for new openings. Explore Israel Votes Listen to Ark News Daily Listen to For Heaven's Sake Newsletters | Ark Media | Amit Segal | Nadav Eyal Instagram | Ark Media | Dan X | Dan Dan Senor & Saul Singer's book, The Genius of Israel Get in touch Credits: Ilan Benatar, Ryan Lohr, Beth Pearlman, Brittany Cohen, Ava Weiner, Martin Huergo, Mariangeles Burgos, and Yuval Semo

Ben Horowitz joins Theo Jaffee and Sofia Puccini to discuss one of the biggest debates in AI today: the future of open-source models. They examine the growing push to restrict open models, why Ben believes open source is critical for security, innovation, and competition, and what happens if a handful of frontier labs come to dominate the AI ecosystem. They also discuss distillation, AI monopolies, China's role in open-source AI, robotics, manufacturing, the economics of frontier models, and why Ben believes the AI market is still in its earliest stages. The conversation closes with a look at AI-generated art, creativity, and whether new tools will spark the next cultural renaissance.   Resources: Follow Ben Horowitz on X: https://x.com/bhorowitz Follow Theo Jaffee on X: https://x.com/theojaffee Follow Sofia Puccini on X: https://x.com/schisofrenia Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Check out the episode in its original version here : https://www.gdiy.fr/podcast/robert-gentz-vo/C'est le plus gros e-commerçant d'Europe, juste derrière Amazon.Et tout a commencé avec des tongs.Robert Gentz fonde Zalando en 2008.Avec son associé, ils testent le marché en vendant des tongs en ligne.Le succès est immédiat, alors ils décident de lancer un vrai site e-commerce pour élargir leur offre à tous les styles de chaussures.La croissance qui suit est hallucinante : 6 millions d'euros de chiffre d'affaires la première année, 160 la deuxième et 500 la troisième.Aujourd'hui, Zalando réalise 20 milliards d'euros de volume d'affaires dans 29 pays.Mais l'Europe n'est pas un marché facile.Robert l'a appris à ses dépens quand une publicité télé aux retombées phénoménales en Allemagne est devenue à l'unanimité « la pire publicité » des Pays-Bas, quelques mois plus tard.Un seul continent, mais des réactions complètement différentes.Construire à grande échelle en Europe c'est s'attaquer à 29 marchés différents et chercher en permanence à comprendre 29 psychologies de consommateurs différentes.Dans cet épisode, Robert révèle :Pourquoi la fragmentation de l'Europe est le plus gros obstacle et la plus grosse force de ZalandoLa raison pour laquelle les retours gratuits augmentent la valeur des commandesPourquoi Zalando construit ses propres technologies plutôt que d'acheter des solutions existantesComment l'intelligence artificielle est déjà en train de réécrire les règles du e-commercePourquoi il a refusé une cotation aux États-Unis, et ce que ça dit de l'avenir de l'EuropeUn regard rare à l'intérieur d'une entreprise qui a prouvé que l'Europe peut construire à l'échelle mondiale, et ce qu'il faudra faire pour recommencer.Vous pouvez contacter Robert sur LinkedIn.Le code GDIY15 vous permettra de bénéficier de 15% de réduction sur Zalando dès 50€ d'achat jusqu'au 31.07.2026 à 23h59.TIMELINE:00:00:00 - Le test des tongs avant de construire un empire de la chaussure 00:12:06 - Le livre qui a façonné Zalando 00:19:38 - Construire ou acheter : quand posséder sa propre technologie ? 00:30:24 - "L'Europe est le marché le plus difficile au monde" 00:40:58 - La plus grosse erreur depuis la création de Zalando 00:53:11 - Pourquoi la puissance des États-Unis surpassent l'Europe 01:00:31 - Le plus grand retailer d'Europe après Amazon 01:10:12 - Le guide de lancement pour ouvrir un nouveau pays 01:19:03 - Démocratiser la mode à travers l'Europe 01:28:54 - Pourquoi la mode reste l'un des secteurs les moins efficaces 01:36:43 - "90 % de nos publicités sont générés automatiquement par IA" 01:47:41 - Pourquoi choisir la bourse de Francfort plutôt que le Nasdaq 02:01:52 - "Seule la vitesse compte à l'ère de l'IA"Les anciens épisodes de GDIY mentionnés : #496 - Sébastien Kopp - VEJA - Faire du business autrement#487 - VF - Anton Osika - Lovable - Internet, Business et IA : rien ne sera jamais plus comme avant#487 - VO - Anton Osika - Lovable - Internet, Business, and AI: Nothing Will Ever Be the Same Again#311 - Pascal Meyer - QoQa - Vendre un Picasso à sa communauté : quand l'e-commerce n'a plus de limite#81 - Jacques Antoine Granjon - Cofondateur VEEPEE - l'aventure, l'hypercroissance, les marques et l'instinct#11 - Sébastien Kopp - VEJA 2/2 - Réussir dans la mode en préservant le monde#10 - Sébastien Kopp - VEJA 1/2 - concurrencer Nike et Adidas avec du Développement DurableNous avons parlé de :Fort KnoxSalesforce CRMAmazon Web ServicesN8N : AI agents and workflowsyou can see and controlLovableLes recommandations de lecture :Delivering Happiness: A Path to Profits, Passion, and Purpose, by Tony Hsieh

Retrouvez l'épisode en version française ici : https://www.gdiy.fr/podcast/robert-gentz-vf/It's the largest e-commerce company in Europe, just behind Amazon.And it all started with flip flops.Robert Gentz co-founded Zalando in 2008, after his first startup left him too broke to buy a flight ticket home from Mexico.With his co-founder, they tested the market with a one-page flip flop shop in Berlin. It worked. So they built a full shoe destination on top of it.The growth that followed is hard to believe: 6 million euros the first entire year, 160 million in year two, 500 million in year three.Today Zalando does 20 billion euros in gross merchandise value across 29 countries.But Europe doesn't make it easy.Robert learned that the hard way when the TV ad that turned Zalando into a German phenomenon became "the worst ad in the Netherlands" a few months later.Same continent, completely different reaction.That's the real story of building at scale in Europe: 29 different markets, 29 different consumer psychologies, and no shortcuts around any of them.In this episode, Robert reveals:Why Europe's fragmentation is both Zalando's biggest obstacle and its strongest moatThe real reason free returns increase order value instead of killing marginsWhy Zalando builds its own tech stack instead of buying off the shelfHow AI is already rewriting the rules of e-commerceWhy he turned down a US listing and what that says about Europe's futureA rare look into a company that proved Europe can build at global scale in less than 20 years, and what it will take to do it again.You can follow Robert on LinkedIn.The GDIY15 code will get you 15% off on Zalando from €50 spent, valid until 31.07.2026 at 11:59pm.TIMELINE:00:00:00 - The flip flop test before the shoe empire 00:12:06 - Fundraising Needs a Reference Point 00:19:38 - Build vs Buy: When to Own Your Technology 00:30:24 - "Europe is the hardest market on earth" 00:40:58 - The biggest mistake Zalando ever made 00:53:11 - Why the US Out-Scales Europe 01:00:31 - Running a company is like co-parenting 01:10:12 - The Country Launch Playbook 01:19:03 - Democratizing fashion from Paris to northern Finland 01:28:54 - Why fashion is still one of the most inefficient businesses 01:36:43 - AI could turn us into a commodity 01:47:41 - Stock market : Why Chosing Frankfurt Over Nasdaq ? 02:01:52 - "Speed Is the Only Advantage That Matters in the AI Age"We referred to previous GDIY episodes : #496 - Sébastien Kopp - VEJA - Faire du business autrement#487 - VF - Anton Osika - Lovable - Internet, Business et IA : rien ne sera jamais plus comme avant#487 - VO - Anton Osika - Lovable - Internet, Business, and AI: Nothing Will Ever Be the Same Again#311 - Pascal Meyer - QoQa - Vendre un Picasso à sa communauté : quand l'e-commerce n'a plus de limite#81 - Jacques Antoine Granjon - Cofondateur VEEPEE - l'aventure, l'hypercroissance, les marques et l'instinct#11 - Sébastien Kopp - VEJA 2/2 - Réussir dans la mode en préservant le monde#10 - Sébastien Kopp - VEJA 1/2 - concurrencer Nike et Adidas avec du Développement DurableA few recent episodes in English : #542 - VO - Yoni Assia - eToro - “AI Will Replace Most Traders in 18 Months”#513 - VO - Jesper Brodin - IKEA - 40 billion in revenue empire with no bank loan#500 - VO - Reid Hoffman - LinkedIn, Paypal - How to master humanity's most powerful invention#487 - VO - Anton Osika - Lovable - Internet, Business, and AI: Nothing Will Ever Be the Same Again#475 - VO - Shane Parrish - Farnam Street - Clear Thinking: The Decision-Making Expert#473 - VO - Brian Chesky - Airbnb - « We're just getting started »#452 - VO - Reid Hoffman - LinkedIn, Paypal - L'humanité 2.0 : Homo technicus plus qu'Homo sapiens#437 - James Dyson - Dyson - “Failure is more exciting than success”#431 - Sean Rad - Tinder - How the swipe fever took over the worldWe spoke about :Fort KnoxSalesforce CRMAmazon Web ServicesN8N : AI agents and workflowsyou can see and controlLovableReading Recommendations :Delivering Happiness: A Path to Profits, Passion, and Purpose, by Tony Hsieh

Anthony Sar, Co-founder and CEO of Finoverse and the driving force behind Hong Kong Fintech Week, joins Theo on One Vision to share the story behind one of Asia's most iconic innovation gatherings. From a bar conversation about hitting 5,000 attendees (when they had 300) to welcoming 45,000 people from 120+ economies at their 10th anniversary, Anthony reflects on what it takes to build something that genuinely keeps people in the room.At the center of the conversation is Samantha, built in-house by Finoverse. She acts as your personal AI networking agent. She interviews you, learns what you're looking for, and makes introductions at scale. After a successful pilot at last year's FinTech Week as well as the recent Genesis Festival, Samantha will return to Hong Kong FinTech Week 2026 this November. This year's conference is aptly themed Fintech Nexus: Bridging the World, Building the Future. It is a rallying call to drive connectivity and collaboration across global and Chinese Mainland markets, at a time when the world feels more fragmented than ever.One World, One Planet. This episode invites us to come together to foster collaboration for a more inclusive financial services ecosystem for everyone.