Podcasts about american ai

(Presented by Ent.ai: Ent delivers intent-aware security that protects every action, adapts to every workflow, and works for every user. Enterprise threat detection, reimagined.) Three Buddy Problem - Episode 99: Microsoft is now threatening legal action against researchers who drop zero-days. We debate whether it's a fair line against extortion, or amateur-hour PR from a company that already torched its own research community? Costin plays reluctant defender, JAGS says the damage was done years ago, and Ryan reopens the long history of silent fixes and stolen bounties. Plus, on the 10th anniversary of the Shadow Brokers leak, we discuss some enduring mysteries, theories on attribution and an interesting trail that leads to Edward Snowden. We also unpack Rob Joyce's warning that China's cyber explosives are already planted in US infrastructure, and the Pope's warnings about around artificial intelligence. Cast: Juan Andres Guerrero-Saade, Ryan Naraine and Costin Raiu. Timestamps: 0:00 - Introductory banter 2:03 - The Pope's AI paper 3:35 - New sponsor: Brandon Dixon's Ent Security 9:34 - Costin's Chinese-model OSINT rabbit hole 13:34 - Codex, GPT-5.5, and the "American AI welfare state" 23:20 - Microsoft threatens vulnerability researchers 27:06 - Is it extortion or retribution? The disclosure fight 40:48 - How Microsoft's consultant class broke MSRC and MSTIC 48:42 - Silent fixes, stolen bounties, and the marketing machine 1:02:29 - Ten years of the Shadow Brokers 1:14:20 - The Snowden theory 1:32:34 - Rob Joyce: China's cyber explosives are in place 1:53:26 - Shout-outs

On April 29th, the US Senate hosted a panel on the "existential threat" of AI and two of the four panelists worked for the Chinese government. One month earlier, Bernie Sanders and AOC introduced legislation imposing a federal moratorium on American AI data centers. On Bitcoin Policy Hour EP 38, Zack Cohen, Ken Egan, and Zack Shapiro unpack a new Bitcoin Policy Institute report by Sam Lyman exposing the CCP influence operation steering US AI policy. They also cover the Clarity Act vote in Senate Banking, the BRCA fight, and the Digital Asset Parity Act. Sam Lyman's BPI Report: https://www.btcpolicy.org/articles/foreign-influence-in-the-campaign-against-american-ai

This week I'm sharing the fourth and final installment from the day-long conference convened by the Institute for America, China, and the Future of Global Affairs (ACF) at Johns Hopkins SAIS on April 3rd in Washington — “The China Debate We're Not Having: Politics, Technology, and the Road Ahead.” The first three episodes featured Jessica Chen Weiss's opening remarks and the panels on what China wants, what the United States wants, and tech rivalry and competing visions of the future. This final installment is a fireside conversation between Henry Farrell and Alondra Nelson, followed by Jessica's closing remarks.Once again, my deep thanks to Jessica Chen Weiss, ACF's inaugural faculty director, for organizing this terrific conference and for so generously letting me share this audio with Sinica listeners.Henry Farrell, the Stavros Niarchos Foundation Agora Institute Professor of International Affairs at SAIS, sits down with Alondra Nelson — Harold F. Linder Professor of Social Science at the Institute for Advanced Study and former Director of the White House Office of Science and Technology Policy — for what turns out to be the day's most generative reframing of the AI race. Henry begins by asking how it is that ideas once confined to 1980s science fiction — the singularity, AGI, brains-in-vats — have come to anchor mainstream American AI policy discourse. Alondra traces the genealogy back to the “Californian ideology” and the long history of outré thinking in Silicon Valley, but her real point is that something has shifted: U.S. negative sentiment around AI has been climbing and plateauing high since 2022, even as adoption has spread — the opposite of the usual technology-acceptance curve, and the opposite of what's happening in China, Nigeria, or Brazil.From there the conversation opens up into what I found to be its richest vein: the contrast between a Cartesian, disembodied American conception of AI — “we're working on the brains,” as Sam Altman put it when OpenAI shut down its robotics team in 2022 — and a more embodied approach that integrates the cognitive and the physical, which is part of what's powered China's advances in advanced manufacturing and robotics. Alondra is sharp on the costs of the brain-in-a-vat framing: it treats AI as a state of exception in which existing laws and institutions somehow don't apply, and it lets us float aspirational claims (”AI will cure cancer”) that elide all the clunky institutional stewardship actually required to get from aspiration to outcome.She also offers an incisive reading of the Trump administration's AI policy — which, she argues, is misleadingly described as “deregulatory.” Between export controls, the golden share in Intel, immigration restrictions on STEM talent, and the administration's tight stewardship of who wins and who loses in the AI ecosystem, this is industrial policy by another name — and a narrowing of democratic input over decisions of enormous infrastructural consequence.The conversation closes with Henry asking what a small-d democratic successor administration ought to do, and Alondra's answer is bracingly practical: get rid of the state of exception, take the material supply chain of AI seriously (data centers, electricity, critical minerals, communities), let state-level policy generate evidence about what works, and aim for high-watermark aspirations — North Stars, in the spirit of the AI Bill of Rights — rather than pretending the technology itself will deliver our values.Jessica then offers her closing remarks, thanking the panelists, previewing the ACF Insights Series, and putting out the call for new junior fellows at the Institute.Participants:Alondra Nelson, Harold F. Linder Professor of Social Science, Institute for Advanced Study; former Director, White House Office of Science and Technology PolicyHenry Farrell, Stavros Niarchos Foundation Agora Institute Professor of International Affairs, Johns Hopkins SAISClosing remarks: Jessica Chen Weiss, David M. Lampton Professor of China Studies and Inaugural Faculty Director, ACFSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

0:30 - COVID whistleblower 14:14 - Josh Hawley back and forth with Erdman over Wuhan lab statements 35:51 - The "Tragic 20's" 56:43 - Former foreign correspondent for BBC Channel 4 News and NBC, Ian Williams: China’s theft of American AI tech is becoming more brazen. Ian is also the author of Vampire State. The rise and fall of the Chinese Economy 01:13:11 - Pratt calls into TMZ after hit piece claiming he doesn't live in trailer 01:33:05 - Senior writer at National Review, Noah Rothman, discusses his new book Blood and Progress: A Century of Left-Wing Violence in America - available Tuesday 5/19 01:51:25 - Kent Professor of Law and History at Yale University, Samuel Moyn, on the The Old Guard and his new book Gerontocracy in America: How the Old Are Hoarding Power and Wealth—and What to Do About It - available June 16 02:12:27 - Tim Stearns, president and founder of TJ Stearns in Arlington Heights, discusses the balancing act between investment risk and FOMO as the market reaches new highs. For more on TJ Stearns tjstearns.comSee omnystudio.com/listener for privacy information.

This week: AI regulation, dark money and data center backlash. Reed Albergotti (Semafor) helps decipher how the Trump Administration actually feels about AI oversight and it seems like a reversal of the hands-off approach they’ve taken so far. Taylor Lorenz (User Mag) exposes a dark money influencer campaign — one she was personally recruited for — that's paying creators to push pro-American AI, anti-China messaging on behalf of a Big Tech super PAC. And Nitasha Tiku (The Washington Post) reports on the fast-growing, bipartisan movement fighting data center construction in communities across the country. Plus: Sam Altman's leaked texts, 120,000 tech layoffs, and the GPT-5.5 launch party. Additional Reading: So Long Jeeves and Ask.com, Relics of Yesterday’s Internet White House Considers Vetting A.I. Models Before They Are Released | The New York Times A Dark-Money Campaign Is Paying Influencers to Frame Chinese AI as a Threat | WIRED Inside a growing movement warning AI could turn on humanity | The Washington Post ‘The Most Bipartisan Issue Since Beer’: Opposition to Data Centers | The New York Times Download SAILY in your app store and use our code techstuff at checkout to get an exclusive 15% off your first purchase! For further details go to https://saily.com/techstuffSee omnystudio.com/listener for privacy information.

Progress Software urges customers to patch a critical MOVEit authentication bypass. Washington worries about limited access to advanced AI tools. Paid influencers promote pro-American AI. CISA warns Copy Fail is under active exploitation. The Canvas educational platform suffers a data breach. The Lazarus Group uses ClickFix to target high-value enterprise users. U.S. and Chinese authorities raid scam centers in Dubai. Monday Business Brief. On Afternoon Cyber Tea with Ann Johnson: Tony Sager, Senior VP & Chief Evangelist, Center for Internet Security, joins Ann to discuss the accelerating pace of technology, AI, and global software dependencies. May the Fourth be with your firewall.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. Afternoon Cyber Tea On this segment of Afternoon Cyber Tea with Ann Johnson: Tony Sager, Senior VP & Chief Evangelist, Center for Internet Security, joins Ann to discuss how the accelerating pace of technology, AI, and global software dependencies are reshaping the cybersecurity landscape. To hear the full conversation, check out the episode and subscribe where you get your favorite podcasts to listen to past episodes. The show is going on hiatus. Stay tuned for the next chapter soon. Selected Reading ⁠Progress warns of critical MOVEit Automation auth bypass flaw⁠ (Bleeping Computer) ⁠What Was Discussed at Google's White House Meeting About A.I. ⁠(The New York Times) ⁠US Military Reaches Deals With 7 Tech Companies to Use Their AI on Classified Systems ⁠(SecurityWeek) ⁠A Dark-Money Campaign Is Paying Influencers to Frame Chinese AI as a Threat⁠ (WIRED) ⁠CISA says ‘Copy Fail' flaw now exploited to root Linux systems⁠ (Bleeping Computer) ⁠Edtech Firm Instructure Discloses Data Breach Amid Hacker Leak Threats⁠ (SecurityWeek) ⁠Lazarus Targets macOS Users With New “Mach-O Man” Malware Kit⁠ (GB Hackers) ⁠US, China partner on scam center takedown in Dubai⁠ (The Record) ⁠Cloudsmith raises $72 million in Series C funding.⁠ (N2K Pro Business Briefing) Microsoft for Startups (N2K Networks) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's show, Patrick Gray and James Wilson are joined by special guest-host Dmitri Alperovitch. They discuss the week's cybersecurity news, including: The US government is mad as hell about Chinese firms stealing American AI technology Dmitri has an opinion or two about the US selling Nvidia chips to China Speaking of Chinese AI, Kimi's new 2.6 is very interesting The US sanctions a Cambodian senator for earning mega bucks through scam compounds And a ransomware family is promoting itself as being … quantum-safe? This week's show is sponsored by Trail of Bits. CEO and co-founder Dan Guido chats to Pat about how private inference works and Trail of Bits' audit of WhatsApp's private AI setup. This episode is also available on Youtube. Show notes Exclusive: US State Dept orders global warning about alleged AI thefts by DeepSeek, other Chinese firms | Reuters moonshotai/Kimi-K2.6 · Hugging Face Discord Sleuths Gained Unauthorized Access to Anthropic's Mythos | WIRED Newly Deciphered Sabotage Malware May Have Targeted Iran's Nuclear Program—and Predates Stuxnet | WIRED Hackers deployed wiper malware in destructive attacks on Venezuela's energy sector | The Record from Recorded Future News Mystery Around Venezuelan Cyberattack Deepens, with New Discovery of "Highly Destructive" Wiper Risky Business #819 -- Venezuela (credibly?!) blames USA for wiper attack - Risky Business Media AI Tools Are Helping Mediocre North Korean Hackers Steal Millions | WIRED CISA: US agency breached through Cisco vulnerability, FIRESTARTER backdoor allowed access through March | The Record from Recorded Future News US, UK authorities warn that Firestarter backdoor malware survives patching | Cybersecurity Dive Surveillance campaigns use commercial surveillance tools to exploit long-known telecom vulnerabilities | CyberScoop UK regulator closes loophole that allowed rogue companies to track phone users' location | Reuters US sanctions Cambodian senator for millions earned through scam compounds | The Record from Recorded Future News Vercel says some of its customers' data was stolen prior to its recent hack | TechCrunch Supply Chain Security Incident Update Apple fixes bug that cops used to extract deleted chat messages from iPhones | TechCrunch Kyle Daigle on X: "Wanted to provide more clarity about this. Yesterday, we had a regression in merge queue behavior where, in some cases, squash or rebase commits were generated from the wrong base state, making earlier changes appear reverted in branch history. 2,804 pull requests out of over 4M" / X Securing the git push pipeline: Responding to a critical remote code execution vulnerability - The GitHub Blog One ransomware crew now drives half of all cyber claims: At-Bay | Insurance Business In a first, a ransomware family is confirmed to be quantum-safe - Ars Technica What we learned about TEE security from auditing WhatsApp's Private Inference

In this episode of The President's Daily Brief: A new warning from the White House on Iranian mine-laying in the Strait of Hormuz, as officials say clearing them could take far longer than expected. U.S.-brokered talks between Israel and Lebanon wrap in Washington, even as Hezbollah continues to trade fire with Israeli troops. The U.S. accuses China of running “industrial-scale” operations to steal advanced American AI technology. And in today's Back of the Brief—Republicans take a first step toward funding ICE on their own, aiming to break the longest partial government shutdown in U.S. history. To listen to the show ad-free, become a premium member of The President's Daily Brief by visiting https://PDBPremium.com. Please remember to subscribe if you enjoyed this episode of The President's Daily Brief. YouTube: youtube.com/@presidentsdailybrief Chapter: Compare every medicare plan call 915-671-5252 today! Chapter and its affiliates are not connected with or endorsed by any government entity or the federal Medicare program. Chapter Advisory, LLC represents Medicare Advantage HMO, PPO, and PFFS organizations and stand alone prescription drug plans that have a Medicare contract. Enrollment depends on the plan's contract renewal. While we have a database of every Medicare plan nationwide and can help you to search among all plans, we have contracts with many but not all plans. As a result, we do not offer every plan available in your area. Currently we represent 50 organizations which offer 18,160 products nationwide. We search and recommend all plans, even those we don't directly offer. You can contact a licensed Chapter agent to find out the number of products available in your specific area. Please contact https://Medicare.gov, 1-800-Medicare, or your local State Health Insurance Program (SHIP) to get information on all of your options. DeleteMe: Get 20% off your DeleteMe plan when you go to https://joindeleteme.com/PDB and use promo code PDB at checkout. Learn more about your ad choices. Visit megaphone.fm/adchoices

Republicans are running out of places to redraw the map, and Florida is quickly becoming their last real shot to claw back seats before the midterms. The pressure is now squarely on Ron DeSantis to deliver a map that could net a handful of gains, but even inside the party there is real disagreement about whether that is possible. The risk is not just that the effort fails, but that it backfires, turning carefully engineered districts into competitive ones if turnout does not break the right way.That is the core problem with aggressive redistricting at this stage. The more you try to maximize advantage by packing and slicing districts, the more you rely on your own voters showing up consistently. If they do not, those same districts can flip. That is why some Republicans are warning that what looks like a smart map on paper could end up being a “dummymander” in practice, especially in an environment where Democratic voters appear more motivated. In fact, this is starting to look risky, it might be more accurate to call this year's elections “dummyterms,” a phrase I'm committed to making stick come hell or high water.Politics Politics Politics is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.At the same time, the conflict with Iran is entering a more volatile phase. New mines in the Strait of Hormuz and an expanded U.S. naval response signal that this is no longer just posturing. It's a pressure campaign with real global stakes, especially given how much of the world's oil supply runs through that corridor. The situation is starting to look less like a slow escalation and more like a standoff that will force a decision sooner rather than later.What makes it even more unpredictable is the internal instability within Iran itself. Leadership shakeups, reports about the Supreme Leader's health and — seriously — facial disfigurement, and a broader power struggle all suggest that there is no single, unified voice making decisions. That kind of vacuum makes negotiation harder and escalation easier, because different factions may be pulling in different directions at the same time.The timeline here is being driven by economics as much as politics. With exports constrained and storage capacity nearing its limit, Iran will eventually have to decide whether to halt production or find another way around the blockade. Neither option is easy, and both come with significant costs. That's why this moment feels compressed, with pressure building toward some kind of near term resolution.Finally, a different kind of competition is playing out between the United States and China, this time over artificial intelligence. The Trump administration is accusing China-backed actors of effectively copying American AI systems by extracting outputs and using them to train rival models. It is a technical fight, but the implications are strategic, especially if it allows competitors to replicate advanced systems without the same investment or safeguards.That accusation fits into a broader pattern of technological rivalry, where innovation, security, and economic advantage are all intertwined. If these claims are accurate, it raises serious questions about how U.S. companies can protect their models and whether current safeguards are enough. With a high stakes meeting between Trump and Xi on the horizon, this issue is likely to become part of a much larger negotiation over trade, security, and global influence.Chapters00:00:00 - Intro00:02:16 - Gabe Fleisher on the White House Press Corps and the Supreme Court00:22:41 - Redistricting Fights00:27:31 - Iran00:33:14 - China and AI00:36:29 - Gabe Fleisher on the Permanence of the Trump Administration01:08:56 - Final Thoughts This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.politicspoliticspolitics.com/subscribe

"There will be a lot fewer people employed doing existing work in not just insurance, but in all business." Phillip reports from the press pool at Semafor World Economy 2026, where 500 CEOs, a quarter of the US Senate, and 20 G20 finance ministers spent two days in Washington DC sketching out the next decade. Inside: why the AI race is really the electricity race (and why we may have already lost it to China), the $10 trillion and 250 gigawatts Meta says AGI will cost, Senator Mark Kelly on the new commercial space economy, Levi's 50% DTC milestone, Ralph Lauren's experience-economy flex, and why Balzac saw the "exterminator economy" coming 200 years ago. Plus: white smoke from Apple Park. Key Takeaways: Space is getting a concentric-circle economy. NASA hands low-Earth orbit to private industry; the moon is next; Mars is the horizon. Sen. Mark Kelly laid out the vision at Semafor. AGI has a price tag, and it's $10T. Meta's Dina Powell McCormick framed the path forward: trillions in capital, 250GW of power, and geopolitical fallout to match. The AI race is actually the electricity race — and the US lost it five years ago. Chips and lithography aren't the bottleneck. Power is, and China builds more in a year than the US builds in a decade. NIMBY has evolved into BANANA. Build Absolutely Nothing Anywhere Near Anyone is the new posture from Virginia to Maine, and the quiet threat to American AI competitiveness. The heritage brand isn't dead; it just needs a thesis. Levi's built a three-layer AI framework — process, product, people — and is posting 16 consecutive quarters of DTC growth to prove the strategy works. Everyone's becoming an exterminator. The age of sovereignty is producing a wave of DIY micro-entrepreneurs using ChatGPT as their back office. Every job AI takes, it seems to hand back, just in a flat-brimmed hat. The American consumer is less bearish than the algorithm suggests. Ralph Lauren, Kickstarter, and Chime all reported data at odds with recession narratives. Spending is healthy, savings are up, and creators are launching. In-Show Mentions: The Commerce Department is a hedge fund now Dispatch from Semafor: Pritzker on what beats fear [POLICY BRIEF] The Halo Effect of the New Economy Future Commerce Podcast: Marcus Collins Associated Links: Check out Future Commerce on YouTube Check out Future Commerce Plus for exclusive content and save on merch and print Subscribe to Insiders and The Senses to read more about what we are witnessing in the commerce world Listen to our other episodes of Future Commerce Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

① The United Nations has condemned Israel's strikes across Lebanon. Are the strikes posing a grave risk to the fragile US-Iran ceasefire? (00:55) ② Donald Trump has renewed his criticism of NATO after a meeting with the alliance's secretary general Mark Rutte. What could happen to NATO next? (14:54) ③ Alibaba has cooperated with China Telecom to launch a new data center featuring the tech giant's own AI chips. We explore Chinese firms' accelerating efforts to build domestic alternatives to advanced American AI chips. (24:43) ④ We look at how software updates are giving Chinese EV makers a new edge in global competition. (34:10) ⑤ A report indicates China's small and medium-sized companies are increasingly satisfied with their development environment. How has China improved its business environment for smaller companies? (44:24)

12. AI SMUGGLING AND CIVILIAN-MILITARY FUSION. DAVID SHEDD AND JACK BURNHAM. The guests detail illicit efforts to smuggle Nvidia chips and steal American AI models through "adversarial distillation". They highlight China's strategic plan to acquire Western innovation without the investment. (12) PERSIA

JOHN BATCHELOR SHOW SCHEDULE, TUESDAY 4 -7-2026.1521 HORMUZ STRAIT.1. FEDERAL RESERVE'S LIMITED ROLE IN INFLATION. ELIZABETH PEEK. Elizabeth Peek explains that the Fed cannot control supply-shock inflation caused by the Strait of Hormuz closure. She warns that upcoming reports will reflect soaring diesel prices currently affecting Europe. (1)2. REPUBLICAN MIDTERM STRATEGY AND THE ECONOMY. ELIZABETH PEEK. Voter focus has shifted from the border to cost-of-living issues that skyrocketed under current leadership. Peek notes Republicans struggle with messaging despite initiatives to lower healthcare costs and prescription drug prices. (2)3. EUROPE'S ENERGY CRISIS AND THE TRANSATLANTIC RIFT. JUDY DEMPSEY. Judy Dempsey reports on soaring German and French energy costs necessitating diesel subsidies. She highlights European distrust of the American administration and the fraying of traditional multilateral institutions. (3)4. FAR-RIGHT GAINS IN EAST GERMAN ELECTIONS. JUDY DEMPSEY. Dempsey analyzes the AfD's momentum in East Germany, where pacifist sentiment and economic resentment drive support. The far-right party now contests Chancellor Mertz's coalition in upcoming regional state elections. (4)5. DIPLOMATIC STRATEGY IN GLOBAL CONFLICTS. MARY KISSEL. Mary Kissel outlines the State Department's roles in economic diplomacy and humanitarian coordination during global crises. She emphasizes the necessity of consistent messaging between the White House and international allies. (5)6. THE EBB TIDE OF SOCIALISM IN SOUTH AMERICA. MARY KISSEL. Kissel discusses right-of-center political shifts in Venezuela and Chile, crediting Marco Rubio for fostering regional economic growth. She calls for a transition of power to benefit the Cuban people. (6)7. ESCALATION AND IRAN'S REFUSAL TO NEGOTIATE. JONATHAN SCHANZER. Schanzer details the five-man collective governing Iran and their commitment to revolutionary martyrdom. He describes US strikes on infrastructure while questioning if Pakistan is acting as a Chinese proxy. (7)8. THE IDF CAMPAIGN TO DEFANG HEZBOLLAH. JONATHAN SCHANZER. Jonathan Schanzer reports on Israel's efforts to establish a buffer zone in southern Lebanon to prevent rocket attacks. He reveals that the IDF has already destroyed roughly 80% of Hezbollah's arsenal. (8)9. GERMAN ECONOMIC REFORM AND LARS KLINGBEIL. JOSEPH STERNBERG. Joseph Sternberg profiles the Finance Minister's supply-side proposals, including tax reforms and labor law flexibility. These initiatives aim to revive the German economy and reclaim voters from the far-right. (9)10. UK POLITICAL INSTABILITY AND THE KING'S VISIT. JOSEPH STERNBERG. Sternberg discusses Keir Starmer's unpopularity and the upcoming royal visit to America. He suggests the visit offers an opportunity to repair the special relationship despite deep strategic differences over Iran. (10)11. CHINESE ESPIONAGE AND THE ROBOTICS THREAT. DAVID SHEDD AND JACK BURNHAM. Experts examine the Schumer-Cotton bill targeting Chinese robotics, warning that these technologies contain software egress points for data theft. They argue this follows a long-standing pattern of intellectual property larceny. (11)12. AI SMUGGLING AND CIVILIAN-MILITARY FUSION. DAVID SHEDD AND JACK BURNHAM. The guests detail illicit efforts to smuggle Nvidia chips and steal American AI models through "adversarial distillation". They highlight China's strategic plan to acquire Western innovation without the investment. (12)13. Headline: The Gulf Standoff: UN Vetoes, Asymmetrical Tactics, and Iran's Ruling Council (13)Guest: Gregory Copley (14)Summary: John Batchelor and Gregory Copley discuss the Gulf standoff following Russian and Chinese UN vetoes,. They analyze Iran's asymmetrical warfare, use of human shields, and the influence of five uncompromising hardliners currently steering the conflict,,,. (15)14. THE IRANIAN STANDOFF AND STRATEGIC DEADLOCK. GREGORY COPLEY. Gregory Copley compares the conflict to a Korean-style stalemate where Iranian leadership refuses to provide a face-saving exit. Russia and China continue supporting Iran by providing missile propellant and equipment. (16)15. VIETNAM WAR LESSONS FOR MODERN CONFLICT. GREGORY COPLEY. Copley warns that alienation from the government and a lack of defined victory objectives could lead to strategic catastrophe. He notes Trump has alienated allies who previously supported US endeavors. (17)16. KING CHARLES AND THE ANGLO-AMERICAN ALLIANCE. GREGORY COPLEY. Gregory Copley discusses the King's role in mending rifts between unpopular US and UK leaders. The visit celebrates American independence while offering the King a platform to improve diplomatic relations. (18)

This Week in AI sneak peak! If you enjoy the episode find us on Spotify, Apple podcasts and YouTube by looking up "This Week in AI" or by going to thisweekinai.aiThis week Jason sat down with Jake Loosararian and Chris Lattner on Episode 6 of This Week in AI. Jake is the CEO and co-founder of Gecko Robotics, a company deploying purpose-built robots and AI for mission-critical infrastructure inspection across energy, defense, and manufacturing. Chris is the CEO and co-founder of Modular, building a universal software layer that lets developers run AI models across Nvidia, AMD, and Apple silicon without being locked into any single hardware vendor.We explore the GPU shortage, why China's chip smuggling reveals the stakes of the AI cold war, how purpose-built robotics are beating humanoids on ROI, the case for American reindustrialization, and why the next decade could be the best ever for private equity in capital-intensive industries.Purpose-Built Robots vs. Humanoids: Jake has been building mission-critical robots for 13 years. He explains why general-purpose humanoids still have too little ROI for industrial use, and why specialized robots that find and fix problems are winning in the field.The GPU Shortage Is Real: Chris breaks down why you can't just go buy 100 Blackwell chips today, why Nvidia's Cuda creates massive lock-in, and how Modular is building a unified software layer across all major chip architectures.Google TPUs Are the Sleeper: Chris ranks Google as the number one threat to Nvidia's dominance, ahead of Amazon's Trainium and AMD.China's Chip Smuggling & the AI Cold War: A Supermicro co-founder allegedly smuggled $2.5B in Nvidia chips to China using fake serial numbers and a hairdryer. The Best Decade for Private Equity: Jake makes the case that capital-intensive, commoditized infrastructure assets: waste-to-energy, water treatment, old power plants will all generate incredible returns.Self-Driving State of Play: Chris, a former Tesla Autopilot lead, gives his read on Waymo's lead, Tesla's small Austin pilot, and why the real signal is when Tesla starts filing for fully autonomous permits in California.Learn more about Gecko Robotics: https://www.geckorobotics.comLearn more about Modular: https://www.modular.com/This Week In AI is made possible by:*PayPalOpen* - One Platform for all Business: paypalopen.com*Timestamps:*00:00 Welcome & intro to Jake Lu (Gecko Robotics) and Chris Lattner (Modular)01:34 Gecko's 13-year journey & the Cantilever platform05:15 Chris Lattner on Modular: replacing Cuda & unifying AI hardware11:10 Nvidia lock-in, AMD's Rock & why the software stack is broken19:49 The GPU shortage: how real is it?22:13 Who challenges Nvidia? Google TPUs, Amazon Trainium & AMD ranked28:17 China chip smuggling: $2.5B in Nvidia GPUs & the AI cold war37:43 Self-driving update: Waymo, Tesla's Austin pilot & Chris's Tesla history42:20 Figure's humanoid package sorting — real or demo magic?43:47 The best decade for private equity in capital-intensive assets51:04 Reindustrialization, the trades boom & making manufacturing cool58:39 Building tech companies outside Silicon Valley1:06:46 Breaking news: Brett Adcock launches Hark from Figure1:10:15 Closing thoughts: grit over hype, customers over valuationsSubscribe to This Week in AI on Apple: https://thisweekinai.ai/spotifySubscribe to This Week in AI on Spotify: https://thisweekinai.ai/appleThanks for watching!

The General Services Administration has proposed draft contract language that would define the government's relationship with AI service providers in a major federal acquisition program in the aftermath of the fallout between the Defense Department and Anthropic. The proposed language includes terms and conditions for government data use, defines what it means for AI to be unbiased, creates a requirement to use only “American AI,” and establishes a responsibility for contractors to enforce terms and conditions on the AI they deploy. Notably, it also includes language that echoes the very policy at issue in Anthropic's ongoing battle with the Pentagon that led to the company's governmentwide ban and designation as a “supply chain risk.” Under the draft, the government would be granted a “contract for any lawful Government purpose.” According to Anthropic's legal challenge, its dispute with the Defense Department hinged on a policy that the military could make “all lawful use” of the technology. That change, Anthropic says, would have eliminated the company's restrictions on use of its products for “lethal autonomous warfare” and mass-scale surveillance of Americans. A nonprofit advocacy group is suing the Social Security Administration to release records on an agreement DOGE made to share voter data with a non-government source, and other documents regarding the improper use of Americans' data. In a lawsuit filed Monday in the U.S. District Court for the District of Maryland, Democracy Forward seeks to compel the SSA to comply with Freedom of Information Act requests linked to a “voter data agreement” revealed in a January court filing. That filing from the Department of Justice, which is part of a lawsuit by several labor groups over DOGE's handling and exposure of personally identifiable information, detailed coordination between two members of Elon Musk's tech collective embedded at SSA and an advocacy group seeking “evidence of voter fraud.” The DOJ said in that filing that in March 2025, a political advocacy group asked those DOGE representatives for Social Security data to analyze state voter rolls. Per the filing, the group's “stated aim was to find evidence of voter fraud and to overturn election results in certain States.” One of those DOGE members signed a “Voter Data Agreement” in his capacity as an SSA employee and sent the document back to the group on March 24, 2025. Democracy Forward, which represents the federal unions at the center of that lawsuit, immediately filed a FOIA seeking a copy of the voter data agreement, plus all emails between the parties. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Marc Cox's Friday show opens with high-energy March Madness coverage, celebrating local wins and Mizzou's evening game, while weaving in humor, fan rivalries, and debates over states seizing unclaimed funds. Hour 2 continues the March Madness theme with Flava Flav in studio, lively discussions on Jeffrey Epstein conspiracy theories, and Nicole Murray analyzing business news from oil prices to Alibaba layoffs, closing with lighter stories from drones to AI resurrecting Val Kilmer. Hour 3 pivots to global politics, analyzing Iran's attacks and U.S. responses with Jim Carafano, Trump's unpredictable approach with allies, and Nicole Wallace reporting on a DOJ grand conspiracy case, while “Kim on a Whim” revisits unclaimed state funds. Hour 4, branded as the “Capital Beat,” features Rep. Eric Burlison on budget amendments and Homeland Security funding, Doug Kelly advocating for local data centers and American AI competitiveness, the Guns and Hoses Queen of Hearts winner, a debate over Sarah Huckabee Sanders' restaurant incident, and Keith Houser highlighting the Patriot Training Foundation and upcoming Freedom Blast event. The show blends sports, politics, local impact, and patriotism with a mix of insight, humor, and civic engagement. Hashtags: #MarcCoxMorningShow #MarchMadness #KimOnAWhim #FlavaFlav #JeffreyEpstein #NicoleMurray #Trump #MiddleEast #Iran #F35 #NicoleWallace #EricBurlison #AmericanEdgeProject #DataCenters #QueenOfHearts #PatriotTrainingFoundation #KeithHouser #FreedomBlast #StLouisHonorFlight #MissouriPolitics #LocalImpact

Qasar Younis is the co-founder and CEO of Applied Intuition, a $15 billion AI company that adds intelligence to cars, tractors, planes, submarines, and other vehicles—essentially, Tesla or Waymo without the hardware. He was previously COO of Y Combinator, started his career as an engineer at GM and Bosch, and was born on a farm in Pakistan.We discuss:1. Why the biggest AI revolution will play out in mining, farming, construction, and trucking over the next 5 to 10 years, not in software2. Why Qasar intentionally stayed under the radar for nearly a decade while building Applied Intuition, and why most founders shouldn't do that3. The truth about China's AI capabilities and why comparisons to American companies are fundamentally flawed4. The company values that drive Applied Intuition: speed above everything, laugh a lot, half the work is follow-up, never disappoint the customer5. The biggest lessons from Qasar's stint as YC's COO, including that the most successful companies show traction very early6. How reading old books is the best way to build taste—Brought to you by:Omni—AI analytics your customers can trustVanta—Automate compliance. Simplify security.Lovable—Build apps by simply chatting with AI—Episode transcript: https://www.lennysnewsletter.com/p/the-most-successful-ai-company-youve-never-heard-of—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Qasar Younis:• X: https://x.com/qasar• LinkedIn: https://www.linkedin.com/in/qasar• Website: https://qy.co• Reading list: https://qy.co/books—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 Qasar and Applied Intuition(04:01) The optimistic vision: How AI will create abundance(08:49) Why anxiety about AI comes from misunderstanding—and how to fight fear with knowledge(12:58) The market sell-off explained(16:31) Self-driving cars: Why 30,000 annual deaths prove we need autonomy now(20:22) The spectrum of physical AI(28:00) How AI is coming just in time(33:26) Why comparing Chinese AI companies to American AI companies is a category error(39:12) Why Qasar finally joined Twitter after staying silent for a decade(45:08) Why successful companies almost always show early signs of traction(50:40) Applied Intuition's core values(56:00) Why the company cleans its own office—and never spent a dollar of raised capital(58:50) Quasar's reading philosophy(01:06:14) How to operationalize listening to naysayers(01:12:53) The importance of decisiveness(01:14:55) Removing emotions from decisions(01:19:02) Why most Silicon Valley CEOs don't have great taste—and how to develop it—Referenced:• Applied Intuition: https://www.appliedintuition.com• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• Elad Gil's website: https://eladgil.com• Bosch: https://www.bosch.com• Berkshire Hathaway: https://www.berkshirehathaway.com• Naval Ravikant on X: https://x.com/naval• Y Combinator: https://www.ycombinator.com• Waymo: https://waymo.com/• Tesla: https://www.tesla.com• DeepSeek: https://www.deepseek.com• Rivian: https://rivian.com• Crate & Barrel: https://www.crateandbarrel.com• OpenClaw: https://openclaw.ai• Sam Altman on X: https://x.com/sama• Peter Ludwig on LinkedIn: https://www.linkedin.com/in/peterwludwig• What Steve Jobs really meant when he said ‘Good artists copy; great artists steal': https://www.cnet.com/tech/tech-industry/what-steve-jobs-really-meant-when-he-said-good-artists-copy-great-artists-steal• 7 quotes on the power of reading from Charlie Munger: https://www.neil.blog/articles/7-quotes-power-reading-charlie-munger• Andreessen Horowitz: https://a16z.com• John Doerr on LinkedIn: https://www.linkedin.com/in/john-doerr-03248211• Gandhi's quote: https://www.azquotes.com/author/5308-Mahatma_Gandhi/tag/truth#google_vignette• Steve Ballmer on X: https://x.com/Steven_Ballmer• General Motors: https://www.gm.com—Recommended books:• House of Huawei: The Secret History of China's Most Powerful Company: https://www.amazon.com/House-Huawei-History-Powerful-Company/dp/0593544633• Maintenance: Of Everything, Part One: https://press.stripe.com/maintenance-part-one• The Autobiography of Malcolm X: As Told to Alex Haley: https://www.amazon.com/Autobiography-Malcolm-Told-Alex-Haley/dp/0345350685• High Output Management: https://www.amazon.com/High-Output-Management-Andrew-Grove/dp/0679762884• The Emperor of All Maladies: A Biography of Cancer: https://www.amazon.com/Emperor-All-Maladies-Biography-Cancer/dp/1439170916• Made in America: https://www.amazon.com/Sam-Walton-Made-America/dp/0553562835• My American Journey: https://www.amazon.com/American-Journey-Autobiography-Colin-Powell/dp/0679432965• Guns, Germs, and Steel: The Fates of Human Societies: https://www.amazon.com/Guns-Germs-Steel-Fates-Societies/dp/0393317552• Collapse: How Societies Choose to Fail or Succeed: https://www.amazon.com/Collapse-Societies-Choose-Succeed-Revised/dp/0143117009• SPQR: A History of Ancient Rome: https://www.amazon.com/SPQR-History-Ancient-Mary-Beard/dp/0871404230• A World Appears: A Journey into Consciousness: https://www.amazon.com/World-Appears-Journey-into-Consciousness/dp/198488199X—Production 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

Yascha Mounk and Dean Ball examine how the fight over autonomous weapons and mass surveillance reveals the impossible choices facing American AI policy. Dean W. Ball served as Senior Policy Advisor at the White House Office of Science and Technology Policy, where he was the primary staff drafter of America's AI Action Plan. He writes the AI-focused newsletter Hyperdimensional. In this week's conversation, Yascha Mounk and Dean Ball discuss the clash between Anthropic and the Department of War over AI usage restrictions, why mass domestic surveillance capabilities make AI governance so challenging, and how to regulate transformative technologies under conditions of radical uncertainty. If you have not yet signed up for our podcast, please do so now by following ⁠this link on your phone⁠. Email: leonora.barclay@persuasion.community Podcast production by Mickey Freeland and Leonora Barclay. Connect with us! ⁠Spotify⁠ | ⁠Apple⁠ | ⁠Google⁠ X: ⁠@Yascha_Mounk⁠ & ⁠@JoinPersuasion⁠ YouTube: ⁠Yascha Mounk⁠, ⁠Persuasion⁠ LinkedIn: ⁠Persuasion Community Learn more about your ad choices. Visit megaphone.fm/adchoices

Is Europe sleepwalking into American AI dependency? Are we building toward a world where AI genuinely thinks for itself? And as AI becomes the backbone of modern warfare, who's really in control? Join Rory Stewart and Matt Clifford as they answer all of these questions and more. For the full AI series, sign up at therestispolitics.com For more Goalhanger Podcasts, head to goalhanger.com Instagram: @restispolitics Twitter: @restispolitics Email: therestispolitics@goalhanger.com __________ Social Producer: Celine Charles Video Editor: James Clayden Producer: India Dunkley Assistant Producer: Daisy Alston-Horne Senior Producer: Callum Hill Exec Producer: Tom Whiter For more Goalhanger Podcasts, head to goalhanger.com Instagram: @restispolitics Twitter: @restispolitics Email: therestispolitics@goalhanger.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

On today's show Andrew and Bill begin with the war in Iran and its implications for the PRC. Topics include: Upsides and downsides for China, why US strategy was likely related to Iran and not the PRC, questions about the Strait of Hormuz, the Iran partnership and PRC global leadership, implications for Taiwan, why a Beijing visit from Donald Trump remains likely, and yet another US war in the Middle East… From there: What to watch for at the Two Sessions this week, an exodus at Alibaba, waiting for a new DeepSeek model, and distillation alarm at American AI labs. At the end: Another spy scandal engulfs Labour in the UK, and fun facts about Spider-Man: No Way Home and its failure to clear $2 billion worldwide.

Group Chat News is back with the biggest stories of the week including and update on Drama's dating life, everything going on in Iran, Anthropic exposing China for creating over 24,000 fake accounts to steal American AI technology, Claude just dethroned ChatGPT as the number one app in the U.S. after a wild Pentagon story, Jack Dorsey just announced Block is getting smaller and what that means for the future of Square. A mass shooting on Sixth Street leaves 3 dead and 14 injured with the FBI investigating terrorism ties. Plus the betting market payout controversy that has everyone heated. 

Our Deputy Head of Global Research Michael Zezas and Stephen Byrd, Global Head of Thematic and Sustainability Research, discuss how the U.S. is positioning AI as a pillar of geopolitical influence and what that means for nations and investors.Read more insights from Morgan Stanley.----- Transcript -----Michael Zezas: Welcome to Thoughts on the Market. I'm Michael Zezas, Morgan Stanley's Deputy Head of Global Research.Stephen Byrd: And I'm Stephen Byrd, Global Head of Thematic and Sustainability Research.Michael Zezas: Today – is AI becoming the new anchor of geopolitical power?It's Wednesday, February 27th at noon in New York.So, Stephen, at the recent India AI Impact Summit, the U.S. laid out a vision to promote global AI adoption built around what it calls “real AI sovereignty.” Or strategic autonomy through integration with the American AI stack. But several nations from the global south and possibly parts of Europe – they appear skeptical of dependence on proprietary systems, citing concerns about control, explainability, and data ownership. And it appears that stake isn't just technology policy. It's the future structure of global power, economic stratification, and whether sovereign nations can realistically build competitive alternatives outside the U.S. and China.So, Stephen, you were there and you've been describing a growing chasm in the AI world in terms of access to strategies between the U.S. and much of the global south, and possibly Europe. So, from what you heard at the summit, what are the core points of disagreement driving that divide?Stephen Byrd: There definitely are areas of agreement; and we've seen a couple of high-profile agreements reached between the U.S. government and the Indian government just in the last several days. So there certainly is a lot of overlap. I point to the Pax Silica agreement that's so important to secure supply chains, to secure access to AI technology. I think the focus, for example, for India is, as you said; it is, you know, explainability, open access. I was really struck by Prime Minister Modi's focus on ensuring that all Indians have access to AI tools that can help them in their everyday life.You know, a really tangible example that really stuck with me is – someone in a remote village in India who has a medical condition and there's no doctor or nurse nearby using AI to, you know, take a photo of the condition, receive diagnosis, receive support, figure out what the next steps should be. That's very powerful. So, I'd say, open access explainability is very important.Now, the American hyperscalers are very much trying to serve the Indian market and serve the objectives really of the Indian government. And so, there are versions of their models that are open weights, that are being made freely available for health agencies in India, as an example; to the Indian government, as an example.So, there is an attempt to really serve a number of objectives, but I think this key is around open access, explainability, that I do see that there's a tension.Michael Zezas: So, let's talk about that a little bit more. Because it seems one of the concerns raised is this idea of being captive within proprietary Large Language Models. And maybe that includes the risk of having to pay more over time or losing control of citizen data. But, at the same time, you've described that there are some real benefits to AI that these countries want to adopt.So, what is effectively the tension between being captive to a model or the trade off instead for pursuing open and free models? Is it that there's a major quality difference? And is that trade off acceptable?Stephen Byrd: See, that's what's so fascinating, Mike, is, you know, what we need to be thinking about is not just where the technology is today, but where is it in six months, 12 months, 24 months? And from my perspective, it's very clear. That the proprietary American models are going to be much, much more capable.So, let's put some numbers around that. The big five American firms have assembled about 10 times the compute to train their current LLMs compared to their prior LLMs, and that's a big deal. If the scaling laws hold, then a 10x increase in training compute to result in models are about twice as capable.Now just let that sink in for a minute, twice as capable from here. That's a big deal. And so, when we think about the benefit of deploying these models, whether it's in the life sciences or any number of other disciplines, those benefits could start to get very large. And the challenge for the open models will be – will they be able to keep up in terms of access to compute, to training, access to data to train those models? That's a big question.Now, again, there's room for both approaches and it's very possible for the Indian government to continue to experiment and really see which approach is going to serve their citizens the best. And I was really struck by just how focused the Indian government is on serving all of their citizens. Most notably, you know, the poorest of the poor in their nation. So, we'll just have to see.But the pure technologist would say that these proprietary models are going to be increasing capability much faster than the open-source models.So, Mike, let's pivot from the technology layer to the geopolitical layer because the U.S. strategy unveiled at the summit goes way beyond innovation.Michael Zezas: Yeah, it's a good point. And within this discussion of whether or not other countries will choose to pursue open models or more closely adhere to U.S. based models is really a question about how the United States exercises power globally and how it creates alliances going forward.Clearly some part of the strategy is that the U.S. assumes that if it has technology that's alluring to its partners, that they'll want to align with the U.S.' broad goals globally. And that they'll want to be partners in supporting those goals, which of course are tied to AI development.So, the Pax Silica [agreement], which you mentioned earlier, is an interesting point here because this is clearly part of the U.S. strategy to develop relationships with other countries – such that the other countries get access to U.S. models and access to U.S. AI in general. And what the U.S. gets in return is access to supply chain, critical resources, labor, all the things that you need to further the AI build out. Particularly as the U.S. is trying to disassociate more and more from China, and the resources that China might have been able to bring to bear in an AI build out.Stephen Byrd: So, Mike, the U.S. framed “real AI sovereignty” as strategic autonomy rather than full self-sufficiency. So, essentially the. U.S. is encouraging nations to integrate components of the American AI stack. Now, from your perspective, Mike, from a macro and policy standpoint, how significant is that distinction?Michael Zezas: Well, I think it's extremely important. And clearly the U.S. views its AI strategy as not just economic strategy, but national security strategy.There are maybe some analogs to how the U.S. has been able to, over the past 80 years or so, use its dominance in military and military equipment to create a security umbrella that other countries want to be under. And do something similar with AI, which is if there is dominant technology and others want access to it for the societal or economic benefits, then that is going to help when you're negotiating with those countries on other things that you value – whether it be trade policy, foreign policy, sanctions versus another country. That type of thing.So, in a lot of ways, it seems like the U.S. is talking about AI and developing AI as an anchor asset to its power, in a way that military power has been that anchor asset for much of the post World War II period.Stephen Byrd: See, that's what's so interesting, Mike, [be]cause you've highlighted before to me that you believe AI could replace weaponry as really the anchor asset for U.S. global power. Almost a tech equivalent of a defense umbrella.So how durable is that strategy, especially given that some countries are expressing unease about dependency?Michael Zezas: Yeah, it's really hard to know, and I think the tension you and I talked about earlier, Stephen, about whether countries will be willing to make the trade off for access to superior AI models versus open and free models that might be inferior, that'll tell us if this is a viable strategy or not. And it appears like this is still playing out because, correct me if I'm wrong, it's not like we've received some very clear signals from India or other countries about their willingness to make that trade off.Stephen Byrd: No, I think that's right. And just building on the concept of the trade-offs and, sort of, the standard for AI deployment, you know, the U.S. has explicitly rejected centralized global AI governance in favor of national control aligned with domestic values.So, what does that signal about how global technology standards may evolve, particularly as in the U.S., the National Institute of Standards and Technology, or NIST, works to develop interoperable standards for agentic AI systems.Michael Zezas: Yeah, Stephen, I think it's hard to know. It might be that the U.S. is okay with other countries having substantial degrees of freedom with how they use U.S.-based AI models because they could use U.S. law to, at a later date, change how those models are being used – if there's a use case that comes out of it that they find is against U.S. values. Similar in some way to how the U.S. dollar being the predominant currency and, therefore, being the predominant payment system globally, gives the U.S. degrees of freedom to impose sanctions and limit other types of economic transactions when it's in the U.S. interest.So, I don't know that to be specifically true, but it's an interesting question to consider and a potential motivation behind why a laissez-faire approach might be, ultimately, still aligned with U.S. interests.Stephen Byrd: So, Michael, it sounds like really AI is becoming the new strategic infrastructure globally.Michael Zezas: Yeah, I think that's actually a great way to think about it. And so, Stephen, if that were the case, and we're talking about the potential for this to shape geopolitical competition, potentially economic differentials across the globe. And if that is correlated, at least, to some degree with the further development and computing power of these models, what do you think investors should be looking at for signals from here?Stephen Byrd: Number one, by a mile for me, is really the pace of model progress. Not just American models, but Chinese models, open-source models. And there the big reveal for the United States should be somewhere between April and June – for the big five LLM players. That's a bit of speculation based on tracking their chip purchases, their power access, et cetera. But that appears to be the timeframe and a couple of execs have spoken to that approximate timeframe.I would caution investors that I think we're going to be surprised in terms of just how powerful those models are. And we're already seeing in early 2026, these models that were not trained on that kind of volume of compute have really exceeded expectations, you know, quite dramatically in some cases. And I'll give you one example.METR is a third-party that tracks the complexity, what these models can do. And METR has been highlining that every seven months, the complexity of what these models are able to do approximately doubles. It's very fast. But what really got my attention was about a week ago, one of the LLMs broke that trend in a big way to the upside.So, if the scaling laws would hold, based on what METR would've expected, they would expect a model to be able to act independently for about eight hours, a little over eight hours. And what we saw was, the best American model that was recently introduced was more like 15. That's a big deal. And so, I think we're seeing signs of non-linear improvement.We're also going to see additional statements from these AI execs around recursive self-improvement of the models. One ex-AI executive spoke to that. Another LLM exec spoke to that recently as well. So, we're starting to see an acceleration. That means we then need to really consider the trade-offs between the open models and the proprietary. That's going to become really critical and that should happen really through the spring and summer.Michael Zezas: Got it. Well, Stephen, thanks for taking the time to talk.Stephen Byrd: Great speaking with you, Mike.Michael Zezas: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen. And share the podcast with a friend or colleague today.

We start with details on former President Bill Clinton's testimony to lawmakers in their Jeffrey Epstein investigation. The US ambassador to Israel gave an urgent warning over a potential US military strike on Iran. President Donald Trump made a major move against an American AI company. The father of a teenage Georgia school shooter took the stand in his own defense. Plus, why NASA's plans to put man back on the moon will look differently. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The War for the American Dynamo has begun.

We're joined by Brian Chen — policy director at Data & Society — to discuss his new report on the Trump administration's industrial policy for building The Big AI State. We lay out how Trump's is bringing together various forms of intervention to ensure America achieves “global technological dominance.” This includes de-risking the construction of data centers and energy infrastructure, ensuring the American AI tech stack takes over global markets, and even acquiring equity stakes in major private industries in the AI supply chain. We discuss the means and ends of Trump's industrial policy — and how these policy tools should be wielded differently by future administrations. ••• Great Power Antinomies https://www.phenomenalworld.org/analysis/great-power-antinomies/ ••• The Big AI State https://datasociety.net/library/the-big-ai-state/ Standing Plugs: ••• Order Jathan's book: https://www.ucpress.edu/book/9780520398078/the-mechanic-and-the-luddite ••• Subscribe to Ed's substack: https://substack.com/@thetechbubble ••• Subscribe to TMK on patreon for premium episodes: https://www.patreon.com/thismachinekills Hosted by Jathan Sadowski (bsky.app/profile/jathansadowski.com) and Edward Ongweso Jr. (www.x.com/bigblackjacobin). Production / Music by Jereme Brown (bsky.app/profile/jebr.bsky.social)

The U.S. government wants the rest of the world to adopt its artificial intelligence cybersecurity standards, a top official with the Office of the National Cyber Director said Thursday. As part of an effort to advance American AI, the administration will be “undertaking diplomacy efforts to promote American AI cybersecurity standards and norms, establishing industry best practices for secure AI deployment and harnessing the full potential of AI tools,” said Alexandra Seymour, principal deputy assistant national cyber director for policy. Seymour's comments at the 2026 Identity, Authentication, and the Road Ahead Policy Forum in Washington, D.C. partially reflect the Trump administration's AI Action Plan released last summer, which said the departments of Commerce and State would “vigorously advocate for international AI governance approaches that promote innovation, reflect American values, and counter authoritarian influence,” but doesn't explicitly mention international promotion of cybersecurity standards. Some of that effort has already materialized, with internationally oriented guides released in both May and December. The United States also isn't the only one looking to influence international standards for AI security. AI also figures into the yet-to-be-released national cybersecurity strategy that Seymour's office has been developing. And it dovetails with a pillar of the strategy focused on defending federal networks. Seymour said: “While AI is already helping industries enhance security and address the challenge of escalating cyberattacks, this administration will promote the rapid implementation of AI-enabled cyber defensive tools to detect, divert and deceive threat actors who continue targeting our vital systems and sectors on our federal systems. We must get our house in order. They need rapid modernization, and we're working on policies to harden our networks, update our technologies and ensure we're prepared for a post-quantum future.”

The second Trump administration has launched a full-scale effort to achieve “unchallenged global technological dominance.” It is accelerating the construction of AI infrastructure, from opening up federal lands to ramping up energy production. It has invoked AI-enabled “efficiency” in order to replace federal workers, removed agency guidance on algorithmic discrimination,  and supercharged the use of AI in areas including defense and immigration enforcement. The administration has also pursued novel public ownership efforts, such as taking equity  in Intel and critical minerals firms. To what end? Officials say they are now maximizing the “export of the American AI technology stack.” This is not the deregulatory tech agenda predicted by both supporters and critics of President Trump. So what is it?How should we understand the administration's actions when it comes to AI? What dynamics are driving these changes in AI policymaking? What might be the downstream consequences for Americans? And how should we respond?

In this episode of BizNews Daybreak, Alec Hogg covers the intersection of high-stakes global politics and critical local challenges: Trump's Nobel Moment: Venezuelan opposition leader Maria Corina Machado presents her Nobel Peace Prize medal to Donald Trump at the White House, calling him the “heir to Washington”. US-Taiwan Trade Deal: The US and Taiwan agree to a trade deal that lowers tariffs to 15% and secures a $250bn investment in the American AI and energy sectors. Jamie Dimon on the Fed: JPMorgan CEO Jamie Dimon dismisses speculation, saying there is “no chance” he will replace Jerome Powell as Federal Reserve Chair. SA's Agriculture Crisis: Minister John Steenhuisen is under pressure as Foot and Mouth Disease spreads like a “veld fire,” with ActionSA's Athol Trollip criticising the lack of compensation for farmers. Market Rally: The JSE sees gains with Purple Group (+3%) and local car retailers up, while global tech giants ASML and TSMC surge on the back of the AI boom. Investment Insight: A look at why the “flow of funds” is currently outweighing company fundamentals in driving share prices.

SHOW 12-17-25 THE SHOW BEGINS WITH DOUBTS ABOUT THE US CONFLICT WITH VENEZUELA... 1926 USS OMAHA IN THE PANAMA CANAL. Colonel Jeff McCausland discusses the US "blockade" of sanctioned Venezuelan oil tankers and the potential for escalation into a regional conflict involving Colombia. He also analyzes the Pentagon's refusal to release videos of destroyed drug boats, suggesting possible war crime concerns, and notes stalled Ukraine negotiations. Colonel McCausland reports on NATO's eastern flank "digging in," with Baltic states building defensive bunkers and Germany significantly increasing military spending. He highlights a divergence where European allies prepare for existential Russian threats while US leadership may prioritize "strategic stability" and economic cooperation with Moscow. General Blaine Holt warns that integrating Artificial Intelligence into military command increases the risks of deliberate, inadvertent, and accidental escalation. He argues that while AI accelerates decision-making, it lacks human judgment, potentially leading to catastrophic miscalculations if adversaries rely on algorithms during crises. General Holt explains that AI models in war games demonstrate a bias toward violent escalation, often prioritizing "winning" over negotiation, which leads to nuclear conflict. He emphasizes the necessity of keeping humans in the loop and maintaining direct communications between rival nations to prevent automated catastrophe. Simon Constable reports from France on high copper prices and slowing European energy demand. He describes protests by French farmers burning hay to oppose government orders to cull cattle exposed to disease and notes a significant rise in electric vehicle sales across the European Union. Simon Constable discusses the political troubles of UK Prime Minister Keir Starmer and the suspension of a US-UK tech deal due to clashes over AI regulation. He explains that Britain's "Online Safety Act" aims to tax and regulate tech giants, which threatens to stifle American AI companies operating there. Bob Zimmerman highlights a record-breaking year with over 300 global rocket launches, driven largely by private enterprise competition. He notes that Amazon was forced to contract SpaceX for satellite launches due to delays from rivals like Blue Origin and reports on safety concerns involving Russian launch pad negligence. Bob Zimmerman reports on the success of commercial space station company Vast and orbital tug tests that outperformed government efforts. Conversely, he details problems with NASA's Maven orbiter at Mars, which has lost communication, potentially jeopardizing data relays for surface rovers. David Shedd critiques the bipartisan failure of allowing China into the World Trade Organization in 2001, which was based on the false assumption that economic engagement would lead to democratization. Instead, this decision facilitated a massive transfer of intellectual property, fueling China's rise as a predatory economic rival. David Shedd explains how China's Ministry of State Security operates as a massive intelligence entity combining the functions of the CIA, FBI, and NSA. He traces this economic espionage to Deng Xiaoping's 1984 strategy, noting that Chinese officers view theft as repayment for past Western oppression. David Shedd details espionage cases, including an Apple engineer stealing "Project Titan" car schematics for a Chinese competitor. He also describes a Google employee who stole AI data while secretly working for a Chinese firm, highlighting how corporate greed and weak internal security enable intellectual property theft. David Shedd outlines strategies to counter Chinese espionage, advocating for "partial decoupling" to protect critical technologies like semiconductors and AI. He argues for modernizing legal deterrence to prosecute theft effectively and warns that Chinese platforms like DeepSeek harvest user data to advance their "Great Heist" of American wealth. Nury Turkel discusses the plight of Guan Hang, a whistleblower facing deportation from the US despite documenting Uyghur concentration camps. Turkel criticizes the inconsistent enforcement of forced labor laws and highlights new evidence linking Uyghur slave labor to the excavation and processing of critical minerals. Rebecca Grant argues against the planned retirement of the USS Nimitz in 2026, suggesting it should be kept in reserve given delays in new Ford-class carriers. Despite the ship's age, Grant asserts that retaining the carrier offers crucial strategic depth against threats like China's PLA Navy. Rick Fisher analyzes the emerging race to build AI data centers in low Earth orbit, noting advantages like natural cooling and zero real estate costs. While Elon Musk's Starlink positions the US well, Fisher warns that China has detailed plans to use space-based data centers to support expansion into the solar system. Alan Tonelson evaluates China's economic strengths, acknowledging their dominance in rare earth processing and solar panels, often achieved through subsidies. He argues that China's heavy investment in industrial robots attempts to offset a looming demographic crash, while questioning the true market demand for their subsidized electric vehicles.

Simon Constable discusses the political troubles of UK Prime Minister Keir Starmer and the suspension of a US-UKtech deal due to clashes over AI regulation. He explains that Britain's "Online Safety Act" aims to tax and regulate tech giants, which threatens to stifle American AI companies operating there. 1940 THE BLITZ

A billion-dollar check from Disney. A federal crackdown on state AI laws. And a new model from OpenAI that beats human experts 71% of the time. In Episode 186, Paul and Mike unpack the release of GPT-5.2, Disney's strategic pivot to license its IP for Sora, and President Trump's executive order designed to accelerate "American AI dominance" at all costs. Plus: Is the future of data centers in space? Why is Microsoft Copilot struggling in the enterprise? And a look at Time's "Architects of AI." Show Notes: Access the show notes and show links here Click here to take this week's AI Pulse. Timestamps: 00:00:00 — Intro 00:03:46 — AI Pulse 00:06:27 — GPT-5.2 and OpenAI Turns 10 00:22:43 — Disney-OpenAI Deal 00:32:41 — Trump Executive Order to Override State AI Laws 00:44:17 — OpenAI State of Enterprise AI Report 00:53:03 — Google Cloud ROI of AI Reports 00:56:14 — Microsoft Lowers AI Sales Expectations 01:02:14 — TIME Person of the Year: The “Architects” of AI 01:06:08 — The Economics of AI and Data Centers in Space 01:14:31 — Shopify SimGym 01:18:37 — Research on Teen AI Usage 01:21:11 — OpenAI Certifications This episode is brought to you by AI Academy by SmarterX. AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. You can get $100 off an individual purchase or a membership by using code POD100 at academy.smarterx.ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

You're listening to American Ground Radio with Stephen Parr and Louis R. Avallone. This is the full show for December 5, 2025. 0:30 We break down a moment that’s quietly shaking the political world — a Christmas message from President Trump that critics and supporters alike weren’t expecting. Standing before the National Christmas Tree, Trump delivered a line that hit with the weight of history: with the birth of Jesus, “human history turned from night to day.” No politics, no polling, no spin — just a call to love one another, serve one another, and remember that every child is made in the image of God. 9:30 Plus, we cover the Top 3 Thing You Need to Know. The US Supreme Court announced they will hear a challenge to President Trump's executive order denying birthright citizenship for children of illegal aliens. A federal grand jury refused to indict New York Attorney General Letitia James for mortgage fraud this week. Netflix is buying Warner Brothers Discovery. 12:30 Get Performlyte from Victory Nutrition International for 20% off. Go to vni.life/agr and use the promo code AGR20. 13:00 We dig into a stunning new revelation that the media would’ve once treated like a five-alarm fire — but now barely whispers about. Assistant Attorney General Harmeet Dhillon has reviewed just a slice of America’s voter rolls, and what she found is jaw-dropping: hundreds of thousands of dead voters still listed as active, thousands of non-citizens registered for federal elections, and more than a dozen states fighting tooth-and-nail to block transparency. We walk through the numbers, the lawsuits, and the obvious question no newsroom seems interested in asking: why would any state hide its voter data unless there was something to hide? From “most secure election in history” to the growing evidence that the system is riddled with cracks, we break down how fraud becomes a feature — not a glitch — and why trust in elections keeps eroding. 16:00 American Mamas Teri Netterville and Kimberly Burleson take on a question a lot of families have quietly wondered: why aren’t people doing obituaries anymore? From the rising cost of funerals to the decline of newspapers, from social media replacing the old morning paper to families choosing simplicity over tradition, the Mamas dig into what’s changing — and what might be getting lost. They talk about how obituaries once anchored local communities, how funerals serve the living more than the dead, and how skipping those rituals leaves a hole many people don’t realize is there until it’s gone. With personal stories, sharp humor, and a whole lot of heart, the Mamas break down how our culture handles loss, why those final tributes still matter, and why even in a digital age, remembering someone shouldn’t disappear. If you'd like to ask our American Mamas a question, go to our website, AmericanGroundRadio.com/mamas and click on the Ask the Mamas button. 23:00 We wade into a scandal brewing out of Minnesota — a jaw-dropping scheme where Somali fraud rings siphoned off millions in taxpayer funds meant to feed hungry children, and where, according to new reports, some of that stolen cash ended up flowing straight into Democrat campaign coffers. From Ilhan Omar’s backyard to Attorney General Keith Ellison’s campaign account, we break down how a billion-dollar fraud operation slipped past state officials, how fake nonprofits claimed to feed thousands of kids a day from buildings with no kitchens, and how money funneled through Minnesota wound up in Somalia — and potentially in the hands of Al Shabaab. 26:00 We Dig Deep a headline that sounds almost too wild to be true: did Donald Trump accidentally save the American AI industry from being overtaken by China? According to Nvidia’s CEO Jensen Huang — one of the most influential figures in tech — the answer is yes. Not because Trump set out to rescue AI, but because he unleashed U.S. energy production with “drill baby drill,” giving America the massive, continuous power supply that AI absolutely devours. From Goldman Sachs warning that AI energy use could explode 160% by decade’s end, to data centers now drawing power like mid-sized cities, we break down why reliable energy isn’t just an economic issue — it’s national security. And we walk through the near-miss that almost kneecapped the entire industry: a last-minute Biden-era “AI diffusion rule” that Trump killed before it could take effect. 32:00 Get Prodovite Plus from Victory Nutrition International for 20% off. Go to vni.life/agr and use the promo code AGR20. 32:30 We dig into a stunning move from New York’s mayor-elect Zoran Mamdani — a promise to end homeless encampment sweeps the moment he takes office. In a city once called America’s crown jewel, the new plan means police won’t be allowed to clear tents from sidewalks, parks, or even Times Square. Instead, the mayor says the answer is “connecting people with housing”… even as the real crisis is addiction, mental illness, and a system that can’t compel anyone to get help. From cities like Portland and San Francisco collapsing under the same policies — more crime, more overdoses, more fires, more chaos — we lay out the hard truth: ignoring encampments doesn’t solve homelessness, it supercharges it. 35:30 Plus, it's Fake News Friday! We're putting you to the test with our weekly game of headlines—are they real news, fake news, or really fake news? From CNN fumbling pipe-bomb speculation and climate-change studies collapsing under their own bogus math, to FIFA surprising everyone with a Peace Prize to Chuck Schumer taking a theatrical dive worthy of the World Cup, can you spot the fake news? Play along, keep score, and share your results with us on Facebook page: facebook.com/AmericanGroundRadio. 39:30 We tackle what can only be described as a constitutional earthquake — the Supreme Court’s decision to take up Donald Trump’s challenge to birthright citizenship for children of illegal immigrants and temporary visa holders. 41:30 And we end today's show with the 21st amendment that was ratified 92 years ago and ended prohibition. Follow us: americangroundradio.com Facebook: facebook.com / AmericanGroundRadio Instagram: instagram.com/americangroundradio See omnystudio.com/listener for privacy information.

It's difficult to argue that AI isn't one of the most impressive technological innovations in recent years, but one factor has continued to hinder its progress: energy. Energy Secretary Chris Wright joins Bret to go over President Trump's recent effort to accelerate American AI innovation, explaining how the current administration plans to do so without driving up electricity costs for the average American, and why he believes it is necessary. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In the last few years, artificial intelligence has become a central focus of geopolitical competition, and especially of U.S.-Chinese rivalry. For much of that time, the United States, or at least U.S. companies, seemed to have the advantage. But Ben Buchanan, a leading scholar of technology who crafted the Biden administration's AI strategy, worries that the United States' AI superiority isn't nearly as assured as many have assumed. In an essay in the November/December issue of Foreign Affairs, Buchanan, writing with Tantum Collins, warns that “the American way of developing AI is reaching its limits,” and as those limits become clear, “they will start to erode—and perhaps even end—U.S. dominance.” The essay calls for a new grand bargain between tech and the U.S. government—a bargain necessary to advancing American AI and to ensuring that it enhances, rather than undermines, U.S. national security. Dan Kurtz-Phelan spoke to Buchanan about the future of AI competition and how it could reshape not just American power but global order itself. You can find sources, transcripts, and more episodes of The Foreign Affairs Interview at https://www.foreignaffairs.com/podcasts/foreign-affairs-interview. 

Iowa Business Report Friday EditionNov. 14, 2025     Dr. J. Michael Waller of the Center for Security Policy on the threats to American AI dominance posed by the Chinese government. 

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the stark reality of the future of work presented at the Marketing AI Conference, MAICON 2025. You’ll learn which roles artificial intelligence will consume fastest and why average employees face the highest risk of replacement. You’ll master the critical thinking and contextual skills you must develop now to transform yourself into an indispensable expert. You’ll understand how expanding your intellectual curiosity outside your specific job will unlock creative problem solving essential for survival. You’ll discover the massive global AI blind spot that US companies ignore and how this shifting landscape affects your career trajectory. Watch now to prepare your career for the age of accelerated automation! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-maicon-2025-generative-ai-for-marketers.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, we are at the Marketing AI Conference, Macon 2025 in Cleveland with 1,500 of our best friends. This morning, the CEO of SmartRx, formerly the Marketing AI Institute, Paul Ritzer, was talking about the future of work. Now, before I go down a long rabbit hole, Dave, what was your immediate impressions, takeaways from Paul’s talk? Katie Robbert – 00:23 Paul always brings this really interesting perspective because he’s very much a futurist, much like yourself, but he’s a futurist in a different way. Whereas you’re on the future of the technology, he’s focused on the future of the business and the people. And so his perspective was really, “AI is going to take your job.” If we had to underscore it, that was the bottom line: AI is going to take your job. However, how can you be smarter about it? How can you work with it instead of working against it? Obviously, he didn’t have time to get into every single individual solution. Katie Robbert – 01:01 The goal of his keynote talk was to get us all thinking, “Oh, so if AI is going to take my job, how do I work with AI versus just continuing to fight against it so that I’m never going to get ahead?” I thought that was a really interesting way to introduce the conference as a whole, where every individual session is going to get into their soldiers. Christopher S. Penn – 01:24 The chart that really surprised me was one of those, “Oh, he actually said the quiet part out loud.” He showed the SaaS business chart: SaaS software is $500 billion of economic value. Of course, AI companies are going, “Yeah, we want that money. We want to take all that money.” But then he brought up the labor chart, which is $12 trillion of money, and says, “This is what the AI companies really want. They want to take all $12 trillion and keep it for themselves and fire everybody,” which is the quiet part out loud. Even if they take 20% of that, that’s still, obviously, what is it, $2 trillion, give or take? When we think about what that means for human beings, that’s basically saying, “I want 20% of the workforce to be unemployed.” Katie Robbert – 02:15 And he wasn’t shy about saying that. Unfortunately, that is the message that a lot of the larger companies are promoting right now. So the question then becomes, what does that mean for that 20%? They have to pivot. They have to learn new skills, or—the big thing, and you and I have talked about this quite a bit this year—is you really have to tap into that critical thinking. That was one of the messages that Paul was sharing in the keynote: go to school, get your liberal art degree, and focus on critical thinking. AI is going to do the rest of it. Katie Robbert – 02:46 So when we look at the roles that are up for grabs, a lot of it was in management, a lot of it was in customer service, a lot of it was in analytics—things that already have a lot of automation around them. So why not naturally let agentic AI take over, and then you don’t need human intervention at all? So then, where does that leave the human? Katie Robbert – 03:08 We’re the ones who have to think what’s next. One of the things that Paul did share was that the screenwriter for all of the Scorsese films was saying that ChatGPT gave me better ideas. We don’t know what those exact prompts looked like. We don’t know how much context was given. We don’t know how much background information. But if that was sue and I, his name was Paul. Paul Schrader. Yes, I forgot it for a second. If Paul Schrader can look at Paul Schrader’s work, then he’s the expert. That’s the thing that I think needed to also be underscored: Paul Schrader is the expert in Paul Schrader. Paul Schrader is the expert in screenwriting those particular genre films. Nobody else can do that. Katie Robbert – 03:52 So Paul Schrader is the only one who could have created the contextual information for those large language models. He still has value, and he’s the one who’s going to take the ideas given by the large language models and turn them into something. The large language model might give him an idea, but he needs to be the one to flush it out, start to finish, because he’s the one who understands nuance. He’s the one who understands, “If I give this to a Leonardo DiCaprio, what is he gonna do with the role? How is he gonna think about it?” Because then you’re starting to get into all of the different complexities where no one individual ever truly works alone. You have a lot of other humans. Katie Robbert – 04:29 I think that’s the part that we haven’t quite gotten to, is sure, generative AI can give you a lot of information, give you a lot of ideas, and do a lot of the work. But when you start incorporating more humans into a team, the nuance—it’s very discreet. It’s very hard for an AI to pick up. You still need humans to do those pieces. Christopher S. Penn – 04:49 When you take a look, though, at something like the Tilly Norwood thing from a couple weeks ago, even there, it’s saying, “Let’s take fewer humans in there,” where you have this completely machine generated actor avatar, I guess. It was very clearly made to replace a human there because they’re saying, “This is great. They don’t have to pay union wages. The actor never calls in sick. The actor never takes a vacation. The actor’s not going to be partying at a club unless someone makes it do that.” When we look at that big chart of, “Here’s all the jobs that are up for grabs,” the $12 trillion of economic value, when you look at that, how at risk do you think your average person is? Katie Robbert – 05:39 The key word in there is average. An average person is at risk. Because if an average person isn’t thinking about things creatively, or if they’re just saying, “Oh, this is what I have to do today, let me just do it. Let me just do the bare minimum, get through it.” Yes, that person is at risk. But someone who looks at a problem or a task that’s in front of them and thinks, “What are the five different ways that I could approach this? Let me sit down for a second, really plan it out. What am I not thinking of? What have I not asked? What’s the information I don’t have in front of me? Let me go find that”—that person is less at risk because they are able to think beyond what’s right in front of them. Katie Robbert – 06:17 I think that is going to be harder to replace. So, for example, I do operations, I’m a CEO. I set the vision. You could theoretically give that to an AI to do. I could create CEO Katie GPT. And GPT Katie could set the vision, based on everything I know: “This is the direction that your company should go in.” What that generative AI doesn’t know is what I know—what we’ve tried, what we haven’t tried. I could give it all that information and it could still say, “Okay, it sounds like you’ve tried this.” But then it doesn’t necessarily know conversations that I’ve had with you offline about certain things. Could I give it all that information? Sure. But then now I’m introducing another person into the conversation. And as predictable as humans are, we’re unpredictable. Katie Robbert – 07:13 So you might say, “Katie would absolutely say this to something.” And I’m going to look at it and go, “I would absolutely not say that.” We’ve actually run into that with our account manager where she’s like, “Well, this is how I thought you would respond. This is how I thought you would post something on social media.” I’m like, “Absolutely not. That doesn’t sound like me at all.” She’s like, “But that’s what the GPT gave me that is supposed to sound like you.” I’m like, “Well, it’s wrong because I’m allowed to change my mind. I’m a human.” And GPTs or large language models don’t have that luxury of just changing its mind and just kind of winging it, if that makes sense. Christopher S. Penn – 07:44 It does. What percentage, based on your experience in managing people, what percentage of people are that exceptional person versus the average or the below average? Katie Robbert – 07:55 A small percentage, unfortunately, because it comes down to two things: consistency and motivation. First, you have to be consistent and do your thing well all the time. In order to be consistent, you have to be motivated. So it’s not enough to just show up, check the boxes, and then go about your day, because anybody can do that; AI can do that. You have to be motivated to want to learn more, to want to do more. So the people who are demonstrating a hunger for reaching—what do they call it?—punching above their weight, reaching beyond what they have, those are the people who are going to be less vulnerable because they’re willing to learn, they’re willing to adapt, they’re willing to be agile. Christopher S. Penn – 08:37 For a while now we’ve been saying that either you’re going to manage the machines or the machines are going to manage you. And now of course we are at the point the machine is just going to manage the machines and you are replaced. Given so few people have that intrinsic motivation, is that teachable or is that something that someone has to have—that inner desire to want to better, regardless of training? Katie Robbert – 09:08 “Teachable” I think is the wrong word. It’s more something that you have to tap into with someone. This is something that you’ve talked about before: what motivates people—money, security, blah, blah, whatever, all those different things. You can say, “I’m going to motivate you by dangling money in front of you,” or, “I’m going to motivate you by dangling time off in front of you.” I’m not teaching you anything. I’m just tapping into who you are as a person by understanding your motives, what motivates you, what gets you excited. I feel fairly confident in saying that your motivations, Chris, are to be the smartest person in the room or to have the most knowledge about your given industry so that you can be considered an expert. Katie Robbert – 09:58 That’s something that you’re going to continue to strive for. That’s what motivates you, in addition to financial security, in addition to securing a good home life for your family. That’s what motivates you. So as I, the other human in the company, think about it, I’m like, “What is going to motivate Chris to get his stuff done?” Okay, can I position it as, “If you do this, you’re going to be the smartest person in the room,” or, “If you do this, you’re going to have financial security?” And you’re like, “Oh, great, those are things I care about. Great, now I’m motivated to do them.” Versus if I say, “If you do this, I’ll get off your back.” That’s not enough motivation because you’re like, “Well, you’re going to be on my back anyway.” Katie Robbert – 10:38 Why bother with this thing when it’s just going to be the next thing the next day? So it’s not a matter of teaching people to be motivated. It’s a matter of, if you’re the person who has to do the motivating, finding what motivates someone. And that’s a very human thing. That’s as old as humans are—finding what people are passionate about, what gets them out of bed in the morning. Christopher S. Penn – 11:05 Which is a complex interplay. If you think about the last five years, we’ve had a lot of discussions about things like quiet quitting, where people show up to work to do the bare minimum, where workers have recognized companies don’t have their back at all. Katie Robbert – 11:19 We have culture and pizza on Fridays. Christopher S. Penn – 11:23 At 5:00 PM when everyone wants to just— Katie Robbert – 11:25 Go home and float in that day. Christopher S. Penn – 11:26 Exactly. Given that, does that accelerate the replacement of those workers? Katie Robbert – 11:37 When we talk about change management, we talk about down to the individual level. You have to be explaining to each and every individual, “What’s in it for me?” If you’re working for a company that’s like, “Well, what’s in it for you is free pizza Fridays and funny hack days and Hawaiian shirt day,” that doesn’t put money in their bank account. That doesn’t put a roof over their head; that doesn’t put food on their table, maybe unless they bring home one of the free pizzas. But that’s once a week. What about the other six days a week? That’s not enough motivation for someone to stay. I’ve been in that position, you’ve been in that position. My first thought is, “Well, maybe stop spending money on free pizza and pay me more.” Katie Robbert – 12:19 That would motivate me, that would make me feel valued. If you said, “You can go buy your own pizza because now you can afford it,” that’s a motivator. But companies aren’t thinking about it that way. They’re looking at employees as just expendable cogs that they can rip and replace. Twenty other people would be happy to do the job that you’re unhappy doing. That’s true, but that’s because companies are setting up people to fail, not to succeed. Christopher S. Penn – 12:46 And now with machinery, you’re saying, “Okay, since there’s a failing cog anyway, why don’t we replace it with an actual cog instead?” So where does this lead for companies? Particularly in capitalist markets where there is no strong social welfare net? Yeah, obviously if you go to France, you can work a 30-hour week and be just fine. But we don’t live in France. France, if you’re hiring, we’re available. Where does it lead? Because I can definitely see one road where this leads to basically where France ended up in 1789, which is the Guillotines. These people trot out the Guillotines because after a certain point, income inequality leads to that stuff. Where does this lead for the market as you see it now? Katie Robbert – 13:39 Unfortunately, nowhere good. We have seen time and time again, as much as we want to see the best in people, we’re seeing the worst in people today, as of this podcast recording—not at Macon. These are some of the best people. But when you step outside of this bubble, you’re seeing the worst in people. They’re motivated by money and money only, money and power. They don’t care about humanity as a whole. They’re like, “I don’t care if you’re poor, get poorer, I’m getting richer.” I feel like, unfortunately, that is the message that is being sent. “If you can make a dollar, go ahead and make a dollar. Don’t worry about what that does to anybody else. Go ahead and be in it for yourself.” Katie Robbert – 14:24 And that’s unfortunately where I see a lot of companies going: we’re just in it to make money. We no longer care about the welfare of our people. I’ve talked on previous shows, on previous podcasts. My husband works for a grocery store that was bought out by Amazon a few years ago, and he’s seeing the effects of that daily. Amazon bought this grocery chain and said basically, “We don’t actually care about the people. We’re going to automate things. We’re going to introduce artificial intelligence.” They’ve gotten rid of HR. He still has to bring home a physical check because there is no one to give him paperwork to do direct deposit. Christopher S. Penn – 15:06 He’s been—ironic given the company. Katie Robbert – 15:08 And he’s been at the company for 25 years. But when they change things over, if he has an assurance question, there’s no one to go to. They probably have chatbots and an email distribution list that goes to somebody in an inbox that never. It’s so sad to see the decline based on where the company started and what the mission originally was of that company to where it is today. His suspicion—and this is not confirmed—his suspicion is that they are gearing up to sell this business, this grocery chain, to another grocery chain for profit and get rid of it. Flipping it, basically. Right now, they’re using it as a distribution center, which is not what it’s meant to be. Katie Robbert – 15:56 And now they’re going to flip it to another grocery store chain because they’ve gotten what they needed from it. Who cares about the people? Who cares about the fact that he as an individual has to work 50 hours a week because there’s nobody else? They’ve flattened the company. They’re like, “No, based on our AI scheduler, there’s plenty of people to cover all of these hours seven days a week.” And he’s like, “Yeah, you have me on there for seven of the seven days.” Because the AI is not thinking about work-life balance. It’s like, “Well, this individual is available at these times, so therefore he must be working here.” And it’s not going to do good things for people in services industries, for people in roles that cannot be automated. Katie Robbert – 16:41 So we talk about customer service—that’s picking up the phone, logging a plate—that can be automated. Walking into a brick and mortar, there are absolutely parts of it that can be automated, specifically the end purchase transaction. But the actual ordering and picking of things and preparing it—sure, you could argue that eventually robots could be doing that, but as of today, that’s all humans. And those humans are being treated so poorly. Christopher S. Penn – 17:08 So where does that end for this particular company or any large enterprise? Katie Robbert – 17:14 They really have—they have to make decisions: do they want to put the money first or the people first? And you already know what the answer to that is. That’s really what it comes down to. When it ends, it doesn’t end. Even if they get sold, they’re always going to put the money first. If they have massive turnover, what do they care? They’re going to find somebody else who’s willing to do that work. Think about all of those people who were just laid off from the white-collar jobs who are like, “Oh crap, I still have a mortgage I have to pay, I still have a family I have to feed. Let me go get one of those jobs that nobody else is now willing to do.” Katie Robbert – 17:51 I feel like that’s the way that the future of work for those people who are left behind is going to turn over. Katie Robbert – 17:59 There’s a lot of people who are happy doing those jobs. I love doing more of what’s considered the blue-collar job—doing things manually, getting their hands in it, versus automating everything. But that’s me personally; that’s what motivates me. That I would imagine is very unappealing to you. Not that for almost. But if cooking’s off the table, there’s a lot of other things that you could do, but would you do them? Katie Robbert – 18:29 So when we talk about what’s going to happen to those people who are cut and left behind, those are the choices they’re going to have to make because there’s not going to be more tech jobs for them to choose from. And if you are someone in your career who has only ever focused on one thing, you’re definitely in big trouble. Christopher S. Penn – 18:47 Yeah, I have a friend who’s a lawyer at a nonprofit, and they’re like, “Yeah, we have no funding anymore, so.” But I can’t pick up and go to England because I can’t practice law there. Katie Robbert – 18:59 Right. I think about people. Forever, social media was it. You focus on social media and you are set. Anybody will hire you because they’re trying to learn how to master social media. Guess where there’s no jobs anymore? Social media. So if all you know is social media and you haven’t diversified your skill set, you’re cooked, you’re done. You’re going to have to start at ground zero entry level. If there’s that. And that’s the thing that’s going to be tough because entry-level jobs—exactly. Christopher S. Penn – 19:34 We saw, what was it, the National Labor Relations Board publish something a couple months ago saying that the unemployment rate for new college graduates is something 60% higher than the rest of the workforce because all the entry-level jobs have been consumed. Katie Robbert – 19:46 Right. I did a talk earlier this year at WPI—that’s Worcester Polytech in Massachusetts—through the Women in Data Science organization. We were answering questions basically like this about the future of work for AI. At a technical college, there are a lot of people who are studying engineering, there are a lot of people who are studying software development. That was one of the first questions: “I’m about to get my engineering degree, I’m about to get my software development degree. What am I supposed to do?” My response to that is, you still need to understand how the thing works. We were talking about this in our AI for Analytics workshop yesterday that we gave here at Macon. In order to do coding in generative AI effectively, you have to understand the software development life cycle. Katie Robbert – 20:39 There is still a need for the expertise. People are asking, “What do I do?” Focus on becoming an expert. Focus on really mastering the thing that you’re passionate about, the thing that you want to learn about. You’ll be the one teaching the AI, setting up the AI, consulting with the people who are setting up the AI. There’ll be plenty of practitioners who can push the buttons and set up agents, but they still need the experts to tell them what it’s supposed to do and what the output’s supposed to be. Christopher S. Penn – 21:06 Do you see—this is kind of a trick question—do you see the machines consuming that expertise? Katie Robbert – 21:15 Oh, sure. But this is where we go back to what we were talking about: the more people, the more group think—which I hate that term—but the more group think you introduce, the more nuanced it is. When you and I sit down, for example, when we actually have five minutes to sit down and talk about the future of our business, where we want to go or what we’re working on today, the amount of information we can iterate on because we know each other so well and almost don’t have to speak in complete sentences and just can sort of pick up what the other person is thinking. Or I can look at something you’re writing and say, “Hey, I had an idea about that.” We can do that as humans because we know each other so well. Katie Robbert – 21:58 I don’t think—and you’re going to tell me this is going to happen—unless we can actually plug or forge into our brains and download all of the things. That’s never going to happen. Even if we build Katie GPT and Chris GPT and have them talk to each other, they’re never going to brainstorm the way you and I brainstorm in real life. Especially if you give me a whiteboard. I’m good. I’m going to get so much done. Christopher S. Penn – 22:25 For people who are in their career right now, what do they do? You can tell somebody, “You need to be a good critical thinker, a creative thinker, a contextual thinker. You need to know where your data lives and things like that.” But the technology is advancing at such a fast rate. I talk about this in the workshops that we do—which, by the way, Trust Insights is offering workshops at your company, if we like one. But one of the things to talk about is, say, with the model’s acceleration in terms of growth, they’re growing faster than any technology ever has. They went from face rolling idiot in 2023 right to above PhD level in everything two years later. Christopher S. Penn – 23:13 So the people who, in their career, are looking at this, going, “It’s like a bad Stephen King movie where you see the thing coming across the horizon.” Katie Robbert – 23:22 There is no such thing as a bad Stephen King movie. Sometimes the book is better, but it’s still good. But yes, maybe *Creepshow*. What do you mean in terms of how do they prepare for the inevitable? Christopher S. Penn – 23:44 Prepare for the inevitable. Because to tell somebody, “Yeah, be a critical thinker, be a contextual thinker, be a creative thinker”—that’s good in the abstract. But then you’re like, “Well, my—yeah, my—and my boss says we’re doing a 10% headcount reduction this week.” Katie Robbert – 24:02 This is my personal way of approaching it: you can’t limit yourself to just go, “Okay, think about it. Okay, I’m thinking.” You actually have to educate yourself on a variety of different things. I am a voracious reader. I read all the time when I’m not working. In the past three weeks, I’ve read four books. And they’re not business books; they are fiction books and on a variety of things. But what that does is it keeps my brain active. It keeps my brain thinking. Then I give myself the space and time. When I walk my dog, I sort of process all of it. I think about it, and then I start thinking about, “What are we doing as our company today?” or, “What’s on the task list?” Katie Robbert – 24:50 Because I’ve expanded my personal horizons beyond what’s right in front of me, I can think about it from the perspective of other people, fictional or otherwise, “How would this person approach it?” or, “What would I do in that scenario?” Even as I’m reading these books, I start to think about myself. I’m like, “What would I do in that scenario? What would I do if I was finding myself on a road trip with a cannibal who, at the end of the road trip, was likely going to consume all of me, including my bones?” It was the last book I read, and it was definitely not what I thought I was signing up for. But you start to put yourself in those scenarios. Katie Robbert – 25:32 That’s what I personally think unlocks the critical thinking, because you’re not just stuck in, “Okay, I have a math problem. I have 1 + 1.” That’s where a lot of people think critical thinking starts and ends. They think, “Well, if I can solve that problem, I’m a critical thinker.” No, there’s only one way to solve that problem. That’s it. I personally would encourage people to expand their horizons, and this comes through having hobbies. You like to say that you work 24/7. That’s not true. You have hobbies, but they’re hobbies that help you be creative. They’re hobbies that help you connect with other people so that you can have those shared experiences, but also learn from people from different cultures, different backgrounds, different experiences. Katie Robbert – 26:18 That’s what’s going to help you be a stronger, fitable thinker, because you’re not just thinking about it from your perspective. Christopher S. Penn – 26:25 Switching gears, what was missing, what’s been missing, and what is absent from this show in the AI space? I have an answer, but I want to hear yours. Katie Robbert – 26:36 Oh, boy. Really putting me on the spot here. I know what is missing. I don’t know. I’m going to think about it, and I am going to get back to you. As we all know, I am not someone who can think on my feet as quickly as you can. So I will take time, I will process it, but I will come back to you. What do you think is missing? Christopher S. Penn – 27:07 One of the things that is a giant blind spot in the AI space right now is it is a very Western-centric view. All the companies say OpenAI and Anthropic and Google and Meta and stuff like that. Yet when you look at the leaderboards online of whose models are topping the charts—Cling Wan, Alibaba, Quinn, Deepseek—these are all Chinese-made models. If you look at the chip sets being used, the government of China itself just issued an edict: “No more Nvidia chips. We are going to use Huawei Ascend 920s now,” which are very good at what they do. And the Chinese models themselves, these companies are just giving them away to the world. Christopher S. Penn – 27:54 They’re not trying to lock you in like a ChatGPT is. The premise for them, for basically the rest of the world that is in America, is, “Hey, you could take American AI where you’re locked in and you’re gonna spend more and more money, or here’s a Chinese model for free and you can build your national infrastructure on the free stuff that we’re gonna give you.” I’ve seen none of that here. That is completely absent from any of the discussions about what other nations are doing with AI. The EU has Mistral and Black Forest Labs, Sub-Saharan Africa has Lilapi AI. Singapore has Sea Lion, Korea has LG, the appliance maker, and their models. Of course, China has a massive footprint in the space. I don’t see that reflected anywhere here. Christopher S. Penn – 28:46 It’s not in the conversations, it’s not in the hallways, it’s not on stage. And to me, that is a really big blind spot if you think—as many people do—that that is your number one competitor on the world stage. Katie Robbert – 28:57 Why do you think? Christopher S. Penn – 29:01 That’s a very complicated question. But it involves racism, it involves a substantial language barrier, it involves economics. When your competitor is giving away everything for free, you’re like, “Well, let’s just pretend they’re not there because we don’t want to draw any attention to them.” And it is also a deep, deep-seated fear. When you look at all of the papers that are being submitted by Google and Facebook and all these other different companies and you look at the last names of the principal investigators and stuff, nine out of 10 times it’s a name that’s coded as an ethnic Chinese name. China produces more PhDs than I think America produces students, just by population dynamics alone. You have this massive competitor, and it almost feels like people just want to put their heads in the sand and say they’re not there. Christopher S. Penn – 30:02 It’s like the boogeyman, they’re not there. And yet if we’re talking about the deployment of AI globally, the folks here should be aware that is a thing that is not just the Sam Alton Show. Katie Robbert – 30:18 I think perhaps then, as we’re talking about the future of work and big companies, small companies, mid-sized companies, this goes sort of back to what I was saying: you need to expand your horizons of thinking. “Well, we’re a domestic company. Why do I need to worry about what China’s doing?” Take a look at your tech stack, and where are those software packages created? Who’s maintaining them? It’s probably not all domestic; it’s probably more of a global firm than you think you are. But we think about it in terms of who do we serve as customers, not what we are using internally. We know people like Paul has talked about operating systems, Ginny Dietrich has talked about operating systems. Katie Robbert – 31:02 That’s really sort of where you have to start thinking more globally in terms of, “What am I actually bringing into my organization?” Not just my customer base, not just the markets that I’m going after, not just my sales team territories, but what is actually powering my company. That’s, I think, to your point—that’s where you can start thinking more globally even if your customer base isn’t global. That might theoretically help you with that critical thinking to start expanding beyond your little homogeneous bubble. Christopher S. Penn – 31:35 Even something like this has been a topic in the news recently. Rare earth minerals, which are not rare, they’re actually very commonplace. There’s just not much of them in any one spot. But China is the only economy on the planet that has figured out how to industrialize them safely. They produce 85% of it on the planet. And that powers your smartphone, that powers your refrigerator, your car and, oh by the way, all of the AI chips. Even things like that affect the future of work and the future of AI because you basically have one place that has a monopoly on this. The same for the Netherlands. The Netherlands is the only country on the planet that produces a certain kind of machine that is used to create these chips for AI. Christopher S. Penn – 32:17 If that company goes away or something, the planet as a whole is like, “Well, I figured they need to come up with an alternative.” So to your point, we have a lot of these choke points in the AI value chain that could be blockers. Again, that’s not something that you hear. I’ve not heard that at any conference. Katie Robbert – 32:38 As we’re thinking about the future of work, which is what we’re talking about on today’s podcast at Macon, 1,500 people in Cleveland. I guarantee they’re going to do it again next year. So if you’re not here this year, definitely sign up for next year. Take a look at the Smarter X and their academy. It’s all good stuff, great people. I think—and this was the question Paul was asking in his keynote—”Where do we go from here?” The— Katie Robbert – 33:05 The atmosphere. Yes. We don’t need—we don’t need to start singing. I do not need. With more feeling. I do get that reference. You’re welcome. But one of the key takeaways is there are more questions than answers. You and I are asking each other questions, but there are more questions than answers. And if we think we have all of the answers, we’re wrong. We have the answers that are sufficient enough for today to keep our business moving forward. But we have to keep asking new questions. That also goes into that critical thinking. You need to be comfortable not knowing. You need to be comfortable asking questions, and you need to be comfortable doing that research and seeking it out and maybe getting it wrong, but then continuing to learn from it. Christopher S. Penn – 33:50 And the future of work, I mean, it really is a very cloudy crystal wall. We have no idea. One of the things that Paul pointed out really well was you have different scaling laws depending on where you are in AI. He could have definitely spent some more time on that, but I understand it was a keynote, not a deep dive. There’s more to that than even that. And they do compound each other, which is what’s creating this ridiculously fast pace of AI evolution. There’s at least one more on the way, which means that the ability for these tools to be superhuman across tasks is going to be here sooner than people think. Paul was saying by 2026, 2027, that’s what we’ll start to see. Robotics, depends on where you are. Christopher S. Penn – 34:41 What’s coming out of Chinese labs for robots is jaw dropping. Katie Robbert – 34:45 I don’t want to know. I don’t want to know. I’ve seen *Ex Machina*, and I don’t want to know. Yeah, no. To your point, I think a lot of people bury their head in the sand because of fear. But in order to, again, it sort of goes back to that critical thinking, you have to be comfortable with the uncomfortable. I’m sort of joking: “I don’t want to know. I’ve seen *Ex Machina*.” But I do want to know. I do need to know. I need to understand. Do I want to be the technologist? No. But I need to play with these tools enough that I feel I understand how they work. Yesterday I was playing in Opal. I’m going to play in N8N. Katie Robbert – 35:24 It’s not my primary function, but it helps me better understand where you’re coming from and the questions that our clients are asking. That, in a very simple way to me, is the future of work: that at least I’m willing to stretch myself and keep exploring and be uncomfortable so that I can say I’m not static. Christopher S. Penn – 35:46 I think one of the things that 3M was very well known for in the day was the 20% rule, where an employee, as part of their job, could have 20% of the time just work on side projects related to the company. That’s how Post-it Notes got invented, I think. I think in the AI forward era that we’re in, companies do need to make that commitment again to the 20% rule. Not necessarily just messing around, but specifically saying you should be spending 20% of your time with AI to figure out how to use it, to figure out how to do some of those tasks yourself, so that instead of being replaced by the machine, you’re the one who’s at least running the machine. Because if you don’t do that, then the person in the next cubicle will. Christopher S. Penn – 36:33 And then the company’s like, “Well, we used to have 10 people, we only need two. And you’re not one of the two who has figured out how to use this thing to do that. So out you go.” Katie Robbert – 36:41 I think that was what Paul was doing in his AI for Productivity workshop yesterday, was giving people the opportunity to come up with those creative ideas. Our friend Andy Crestadino was relaying a story yesterday to us of a very similar vein where someone was saying, “I’ll give you $5,000. Create whatever you want.” And the thing that the person created was so mind-blowing and so useful that he was like, “Look what happens when I just let people do something creative.” But if we bring it sort of back whole circle, what’s the motivation? Why are people doing it in the first place? Katie Robbert – 37:14 It has to be something that they’re passionate about, and that’s going to really be what drives the future of work in terms of being able to sustain while working alongside AI, versus, “This is all I know how to do. This is all I ever want to know how to do.” Yes, AI is going over your job. Christopher S. Penn – 37:33 So I guess wrapping up, we definitely want you thinking creatively, critically, contextually. Know where your data is, know where your ideas come from, broaden your horizons so that you have more ideas, and be able to be one of the people who knows how to call BS on the machines and say, “That’s completely wrong, ChatGPT.” Beyond that, everyone has an obligation to try to replace themselves with the machines before someone else does it to you. Katie Robbert – 38:09 I think again, to plug Macon, which is where we are as we’re recording this episode, this is a great starting point for expanding your horizons because the amount of people that you get to network with are from different companies, different experiences, different walks of life. You can go to the sessions, learn it from their point of view. You can listen to Paul’s keynote. If you think you already know everything about your job, you’re failing. Take the time to learn where other people are coming from. It may not be immediately relevant to you, but it could stick with you. Something may resonate, something might spark a new idea. Katie Robbert – 38:46 I feel like we’re pretty far along in our AI journey, but in sitting in Paul’s keynote, I had two things that stuck out to me: “Oh, that’s a great idea. I want to go do that.” That’s great. I wouldn’t have gotten that otherwise if I didn’t step out of my comfort zone and listen to someone else’s point of view. That’s really how people are going to grow, and that’s that critical thinking—getting those shared experiences and getting that brainstorming and just community. Christopher S. Penn – 39:12 Exactly. If you’ve got some thoughts about how you are approaching the future of work, pop on by our free Slack group. Go to trust insights AI analysts for marketers, where you and over 4,500 other marketers are asking and answering each other’s questions every single day. Wherever you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to Trust Insights AI Ti Podcast, where you can find us all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Send us a textIn this episode of The AI Advantage, Matt Brown speaks with Saxon Knight, founding board member of the American Society for AI. They explore how U.S. leaders can approach AI adoption through both offense and defense, balancing innovation with regulation in an environment where Washington can't keep pace. Drawing lessons from America's cybersecurity past, Saxon explains why boards and executives need guardrails now, why building versus buying AI tools matters for U.S. enterprises, and how sectors like healthcare and legal could emerge as surprising leaders in the American AI landscape.Support the show

China continues to show signs that it might not need American AI chips much longer. A weird story about that big recent Tesla trial ruling. Look, AI being too much of a sycophant is clearly becoming a big problem. And, of course, the Weekend Longreads Suggestions. Links: Alibaba Creates AI Chip to Help China Fill Nvidia Void (WSJ) Tesla said it didn't have key data in a fatal crash. Then a hacker found it. (Washington Post) Intel gets $5.7 billion from Trump deal as White House says details are ‘being ironed out' (CNBC) Zuckerberg's AI hires disrupt Meta with swift exits and threats to leave (Financial Times) A Troubled Man, His Chatbot and a Murder-Suicide in Old Greenwich (WSJ) Weekend Longreads Suggestions AI Is Eliminating Jobs for Younger Workers (Wired) This Visiting Interstellar Comet Just Keeps Getting Weirder (Gizmodo) Learn more about your ad choices. Visit megaphone.fm/adchoices

Jim talks with David Shapiro about how to use AI language models as research and writing tools. They discuss post-labor economics, the evolution of AI tools from GPT-2 through GPT-4, using AI as a learning companion vs. relying on it completely, David's AI tool stack, exploring new domains, using NotebookLM for document management & searching, AI writing and editing techniques, critique and perspectives through personas, the rapid adoption of AI tools across industries, understanding limitations, challenges for AI startups, and much more. Episode Transcript JRS EP 317 - David Shapiro on Post-Labor Economics David Shapiro is an American AI thought leader, author, YouTuber, and former IT infrastructure and automation engineer based in Raleigh, North Carolina. With over 16 years of experience in technology, including four years focused on artificial intelligence, Shapiro has emerged as a prominent voice in AI philosophy, cognitive architectures, and post-labor economics. His work centers on the societal and economic implications of AI, advocating for a future of post-scarcity and hyper-abundance where automation meets basic human needs at low cost.

a16z General Partners Martin Casado and Anjney Midha join Erik Torenberg to unpack one of the most dramatic shifts in tech policy in recent memory: the move from “pause AI” to “win the AI race.”They trace the evolution of U.S. AI policy—from executive orders that chilled innovation, to the recent AI Action Plan that puts scientific progress and open source at the center. The discussion covers how technologists were caught off guard, why open source was wrongly equated to nuclear risk, and what changed the narrative—including China's rapid progress.The conversation also explores:How and why the AI discourse got captured by doomerismWhat “marginal risk” really means—and why it mattersWhy open source AI is not just ideology, but business strategyHow government, academia, and industry are realigning after a fractured few yearsThe effect of bad legislation—and what comes nextWhether you're a founder, policymaker, or just trying to make sense of AI's regulatory future, this episode breaks it all down.Timecodes:0:00 Introduction & Setting the Stage0:39 The Shift in AI Regulation Discourse2:10 Historical Context: Tech Waves & Policy6:39 The Open Source Debate13:39 The Chilling Effect & Global Competition15:00 Changing Sentiments on Open Source21:06 Open Source as Business Strategy28:50 The AI Action Plan: Reflections & Critique32:45 Alignment, Marginal Risk, and Policy41:30 The Future of AI Regulation & Closing ThoughtsResourcesFind Martin on X: https://x.com/martin_casadoFind Anjney on X: https://x.com/anjneymidhaStay 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.

Jim talks with David Shapiro about his six-part series on "post-labor economics." They discuss historical economic transitions, the logic of labor substitution, automation & AI's  impacts on employment, the four basic human economic offerings (strength, dexterity, cognition & empathy), labor as a societal pillar, the pyramid of prosperity (universal basic services, collectively owned public & private assets, conventional private assets, & residual wages), the pyramid of power (immutable civic bedrock, freedom to transact, radical transparency, direct programmable democracy, & forkable constitutional meta-governance), blockchain & cryptocurrency, radical financial transparency, liquid democracy, governance innovation, and much more. Episode Transcript "Post-Labor Economics pt. 1: The Rise of Automation," by David Shapiro on Substack "You should let the human race die out," by David Shapiro on Substack Why Nations Fail, by Daron Acemoğlu and James Robinson The Bitcoin Standard, by Saifedean Ammous "An Introduction to Liquid Democracy," by Jim Rutt David Shapiro is an American AI thought leader, author, YouTuber, and former IT infrastructure and automation engineer based in Raleigh, North Carolina. With over 16 years of experience in technology, including four years focused on artificial intelligence, Shapiro has emerged as a prominent voice in AI philosophy, cognitive architectures, and post-labor economics. His work centers on the societal and economic implications of AI, advocating for a future of post-scarcity and hyper-abundance where automation meets basic human needs at low cost.

Newt talks with Neil Chilson, current head of AI Policy at the Abundance Institute, about President Trump’s “Winning the Race: America’s AI Action Plan,” which aims to accelerate AI innovation, build American AI infrastructure, and lead in international AI diplomacy and security. Chilson highlights the importance of AI for U.S. global dominance, emphasizing its potential in various sectors like healthcare and defense. Their conversation also touches on the strategic significance of Taiwan in chip production and the challenges of AI regulation, particularly in Europe. The Abundance Institute focuses on emerging technologies, advocating for a culture that embraces innovation and a regulatory environment that enables it. They conclude with optimism about AI's role in medicine and the potential for a future with greater technological advancements.See omnystudio.com/listener for privacy information.

01:02:09Candace Owens Lawsuit BackgroundThe segment formally introduces the lawsuit. Owens is being sued for repeatedly claiming Brigitte Macron was born male. 01:04:58Legal Strategy and Trans IdeologyThe show critiques Tim Pool's logic that misgendering Macron could expose trans ideology. The host believes this backfires and actually helps the left maintain consistency in their views on speech and gender. 01:07:03Trial Commentary: Is This Worth It?The host questions Owens' motivations, suggesting she's wasting time and energy for attention. He argues that even if true, the claim has no meaningful impact and distracts from more serious issues like Epstein. 01:24:04 Israel, War, and the Hypocrisy of Christian SupportA critique of Christians who support endless war in the Middle East, especially those cheering military campaigns against civilians while claiming to follow Christ. The host warns that cheering starvation and bombardment of children contradicts biblical teachings and undermines the gospel. 01:29:19 AIPAC's Infiltration of American ChurchesA disturbing exposé reveals that AIPAC is allegedly using financial influence to reshape Christian theology in U.S. churches. Evangelical institutions and seminaries are said to be paid to push pro-Israel messaging, leading to the erosion of biblical teaching in favor of political loyalty. 02:05:12 The Collapse of Christian Ethics in Modern WarfareA deep theological dive into the abandonment of just war principles. From Dresden to Nagasaki to Gaza, the segment traces how Christian restraint in warfare has eroded into total war endorsed by evangelicals, leaving Western nations morally bankrupt. 02:25:19 Trump, Gaza Real Estate, and the War-for-Profit MentalityThe host condemns Trump for viewing Gaza's destruction as a commercial opportunity. He contrasts Trump's real estate ambitions with the mass civilian casualties, accusing the president and his allies of callous opportunism and theological betrayal. 02:41:01l Cost-Benefit Tyranny of AutomationThe segment exposes how corporations will accept inefficiency and customer frustration if robotic labor increases profit margins. Human labor is being replaced not because machines are better—but because they're compliant and cheap. 02:53:26 Trump's Executive Orders Fuel AI TechnocracyTrump signs three AI-related executive orders. The host slams MAGA hypocrisy, noting how Trump gets a pass for the same authoritarian tools conservatives once condemned. He sees the orders as government-backed consolidation of technocratic power. 03:08:27China's Rise Through Education and AI While America FallsCelente outlines how China is winning the AI war through serious investment in education and engineering, unlike the U.S., where college graduates are distracted by useless degrees. He warns of a second "dot-com bust" in overhyped American AI ventures and highlights China's ability to achieve massive AI advances with lower costs and smaller chips. 03:26:58Occupy Peace: Rallying Against the War Machine and Reclaiming America's SoulCelente shares his personal commitment to peace, the historical value of Kingston, NY, and his effort to revive the founding spirit of America through the Occupy Peace movement. He calls out billionaires for never supporting peace efforts and urges citizens to take action by attending the upcoming rally to build a coalition of freedom-minded people. 03:51:59How U.S. Empire Created Extremism: The Hidden History of IranCelente recounts how the CIA overthrew Iran's democratically elected government in 1953 to protect oil interests, installing the brutal Shah and sparking the rise of radical Islam. This historical manipulation is presented as a blueprint for America's endless foreign entanglements and evidence that the U.S. public is kept ignorant of global crimes committed in their name. Follow the show on Kick and watch live every weekday 9:00am EST – 12:00pm EST https://kick.com/davidknightshow Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHTFind out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

01:02:09Candace Owens Lawsuit BackgroundThe segment formally introduces the lawsuit. Owens is being sued for repeatedly claiming Brigitte Macron was born male. 01:04:58Legal Strategy and Trans IdeologyThe show critiques Tim Pool's logic that misgendering Macron could expose trans ideology. The host believes this backfires and actually helps the left maintain consistency in their views on speech and gender. 01:07:03Trial Commentary: Is This Worth It?The host questions Owens' motivations, suggesting she's wasting time and energy for attention. He argues that even if true, the claim has no meaningful impact and distracts from more serious issues like Epstein. 01:24:04 Israel, War, and the Hypocrisy of Christian SupportA critique of Christians who support endless war in the Middle East, especially those cheering military campaigns against civilians while claiming to follow Christ. The host warns that cheering starvation and bombardment of children contradicts biblical teachings and undermines the gospel. 01:29:19 AIPAC's Infiltration of American ChurchesA disturbing exposé reveals that AIPAC is allegedly using financial influence to reshape Christian theology in U.S. churches. Evangelical institutions and seminaries are said to be paid to push pro-Israel messaging, leading to the erosion of biblical teaching in favor of political loyalty. 02:05:12 The Collapse of Christian Ethics in Modern WarfareA deep theological dive into the abandonment of just war principles. From Dresden to Nagasaki to Gaza, the segment traces how Christian restraint in warfare has eroded into total war endorsed by evangelicals, leaving Western nations morally bankrupt. 02:25:19 Trump, Gaza Real Estate, and the War-for-Profit MentalityThe host condemns Trump for viewing Gaza's destruction as a commercial opportunity. He contrasts Trump's real estate ambitions with the mass civilian casualties, accusing the president and his allies of callous opportunism and theological betrayal. 02:41:01l Cost-Benefit Tyranny of AutomationThe segment exposes how corporations will accept inefficiency and customer frustration if robotic labor increases profit margins. Human labor is being replaced not because machines are better—but because they're compliant and cheap. 02:53:26 Trump's Executive Orders Fuel AI TechnocracyTrump signs three AI-related executive orders. The host slams MAGA hypocrisy, noting how Trump gets a pass for the same authoritarian tools conservatives once condemned. He sees the orders as government-backed consolidation of technocratic power. 03:08:27China's Rise Through Education and AI While America FallsCelente outlines how China is winning the AI war through serious investment in education and engineering, unlike the U.S., where college graduates are distracted by useless degrees. He warns of a second "dot-com bust" in overhyped American AI ventures and highlights China's ability to achieve massive AI advances with lower costs and smaller chips. 03:26:58Occupy Peace: Rallying Against the War Machine and Reclaiming America's SoulCelente shares his personal commitment to peace, the historical value of Kingston, NY, and his effort to revive the founding spirit of America through the Occupy Peace movement. He calls out billionaires for never supporting peace efforts and urges citizens to take action by attending the upcoming rally to build a coalition of freedom-minded people. 03:51:59How U.S. Empire Created Extremism: The Hidden History of IranCelente recounts how the CIA overthrew Iran's democratically elected government in 1953 to protect oil interests, installing the brutal Shah and sparking the rise of radical Islam. This historical manipulation is presented as a blueprint for America's endless foreign entanglements and evidence that the U.S. public is kept ignorant of global crimes committed in their name. Follow the show on Kick and watch live every weekday 9:00am EST – 12:00pm EST https://kick.com/davidknightshow Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHTFind out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

The White House just released a 28-page AI Action Plan alongside Anthropic's infrastructure report, revealing America's strategy for global AI dominance. This episode breaks down the energy crisis where China is adding 400+ gigawatts while the US manages only "several dozen," creating a massive infrastructure gap that threatens American AI leadership. We cover the White House's three-part strategy to accelerate AI innovation, build American AI infrastructure, and lead global AI diplomacy, plus Anthropic's warning that AI will need 50+ gigawatts by 2028 which equals twice New York City's peak demand. Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠agntcy.org ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network

After the hosts of the All In Podcast invited tech and government leaders to an AI summit in DC, President Trump signed three executive orders on artificial intelligence. White House AI and Crypto Czar David Sacks discusses the President's AI agenda and the roles regulation and energy infrastructure play in American AI dominance. Plus, former New York Governor Andrew Cuomo is running for NYC Mayor as an Independent. In an extended conversation, Cuomo admits his mistakes in the primary, discusses his competitors in sitting Mayor Eric Adams and Zohran Mamdani, and lays out his plan for success in the general election. Plus, CNBC's Phil LeBeau discusses Tesla's stock plunge after the company's quarterly report. Phil LeBeau - 03:48Andrew Cuomo - 20:28Eamon Javers - 41:04David Sacks - 45:35 In this episode:Phil LeBeau, @LebeaucarnewsEamon Javers, @EamonJaversBecky Quick, @BeckyQuickAndrew Ross Sorkin, @andrewrsorkinKatie Kramer, @Kramer_Katie

President Trump unveiled his approach to the development of AI. Surrounded by some of the biggest names in tech, he signed three executive orders. One targets what Trump called "ideological bias" in AI chatbots, another aims to make it easier to build massive AI data centers and the third encourages the export of American AI tech. Amna Nawaz discussed the implications with Will Oremus. PBS News is supported by - https://www.pbs.org/newshour/about/funders

Two-year old French startup Mistral wants to show that European AI can compete with American and Chinese companies that dominate the industry. WSJ tech reporter Sam Schechner reports from the Viva Technology conference in Paris. Plus, the United Nations estimates half of all people on Earth experience severe water scarcity at least one month of the year. WSJ tech columnist Christopher Mims tells us about a 1960s-era technology that might hold a key to easing that problem. Sign up for the WSJ's free Technology newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices