Latest Interviews
Showing 46–60 of 5,623 transcripts.
Clear all filters- The Economist6 min
What can Big Macs tell you about the global economy? | The Economist
Zanny Minton Beddoes, Edward Carr, Simon, Henry, Josh
Conceived by economics correspondent Pam Woodall, the Big Mac Index uses McDonald's standardized burger prices to gauge Purchasing Power Parity and identify currency misalignments across nations. While widely cited in academic research and occasionally utilized for long-term investment strategy, the metric remains largely symbolic for traders and has faced public rejection from countries like Taiwan that actively undervalue their currencies. Despite successes such as predicting the euro's initial overvaluation, the index cannot account for institutional confidence or central bank policies that frequently drive exchange rates away from theoretical PPP values.
- Milken Institute23 min
Conversation with CMS Administrator Mehmet Oz & HHS Chief Counselor Chris Klomp | Global Conference
Mehmet Oz, Chris Klomp, Esther Krofah
Under the strategic mandate "Making America Healthy Again," CMS Administrator Dr. Mehmet Oz and HHS leadership are overhauling the U.S. healthcare system by shifting from fee-for-service to value-based models that target upstream chronic disease prevention and address the nation's 27% unfilled prescription rate. The administration is enforcing strict integrity measures to eliminate $100 billion in annual fraud while simultaneously deploying AI to modernize legacy infrastructure and accelerate FDA drug approvals from 15 years to under five. These initiatives aim to align U.S. drug pricing with global "Most Favored Nation" standards and restore public trust in federal health agencies to counter competitive gaps with international rivals like China.
- a16z1h 20m
How Decagon Runs 90% of Its Agents on Open-Source Models
Sarah Wang, Kimberly Tan, Jesse Zhang, Ashwin Sreenivas
Decagon Labs challenges the prevailing 2026 narrative that AI agents will replace all software by establishing a dedicated "model factory" that prioritizes open-source fine-tuning over frontier models to achieve superior latency for voice interactions. The company differentiates its enterprise deployment through a "glass box" approach and its Duet Autopilot system, which automates the creation of agent procedures and reduces production timelines from years to months. Despite rapid international expansion and the lowering of technical barriers, Decagon contends that the primary constraint remains human talent acquisition while affirming that AI will drive new service demand rather than eliminating careers or rendering legacy SaaS obsolete.
AssemblyAI Now Handles 4x YouTube's Daily Volume
AssemblyAI has achieved explosive growth with weekly API conversations surging 800% to surpass 120 million voice interactions, driven by CEO Dylan Fox's infrastructure-focused strategy that supports over one million developers. The company distinguishes itself through advanced, context-aware voice models capable of real-time multi-language switching and noise filtering, while maintaining a lean, AI-native operational structure. Looking forward, leadership anticipates voice becoming a universal consumer interface within three years, though the industry must urgently address ethical transparency and on-device latency challenges to ensure trust.
- a16z59 min
“Every small business should run itself” | Lassie with a16z
Alex Rampell, Olivia Moore, Steijn Pelle, Frédéric Renken
Founders of Lassie address severe labor shortages in U.S. small businesses by developing autonomous AI agents that execute complex administrative workflows rather than merely digitizing data storage. Initially launched in the dental sector to replace 200 hours of monthly manual paperwork for practices like Dr. Kwan's, the platform utilizes a human-in-the-loop evolution to achieve 95% automation and targets a $1 billion market by selling labor savings instead of software licenses. This approach leverages regulatory shifts toward direct deposit and proprietary workflow ontologies to create a defensible moat against incumbents, with plans to expand into fully autonomous business operations across healthcare and other labor-constrained industries.
- Y Combinator1h 16m
Kernels and Chips: Cursor, NVIDIA, and Meta Researchers on GPU Performance | YC Paper Club
Stuart Sul, John, Francois Chaubard, Jon Saad-Falcon, Mark Saroufim, Misha Smelyanskiy, Brennan Shacklett
The event synthesizes critical industry shifts toward specialized ASICs and disaggregated architectures that separate training and inference workloads to maximize intelligence per watt. Technical deep dives highlight breakthroughs in multi-GPU kernel optimization and local inference, demonstrating that consumer accelerators can now deliver nearly 90% of frontier model utility while reducing energy costs by 70%. These innovations collectively address systemic bottlenecks in network communication and latency, establishing a roadmap for distributed, cost-efficient AI ecosystems that minimize reliance on centralized cloud resources.
- Milken Institute41 min
Investing in Economic Mobility: Building a Path to Opportunity | Global Conference 2026
Michael Milken, Ted Cruz, Brad Gerstner, Kevin Hassett
The "Invest America Act" mandates the automatic creation of direct-ownership investment accounts for millions of children, a program championed by Senator Ted Cruz and economists like Kevin Hassett as a vehicle for "Opportunity Conservatism" rather than government redistribution. Supported by massive private philanthropy from figures such as the Dells and Ray Dalio, the initiative allows tax-free annual contributions up to $5,000 with projected account values reaching $700,000 by age 35. By targeting the bottom of the income distribution, the White House aims to cultivate a nationwide constituency of young investors while driving a political shift toward expanding personal capital ownership beyond current eligibility thresholds.
- Y Combinator32 min
Alexandr Wang: “This is a Once-in-a-Civilization Opportunity”
Alexander Wang discusses his journey from founding Scale AI to leading Meta's Frontier Lab, where he is developing the Muse Spark model to deliver frontier-level AI capabilities at a fraction of the cost. He argues that the immediate future of the industry will be defined by agentic looping and the orchestration of autonomous agents rather than raw model size, predicting a massive expansion in global GDP driven by these technologies. Wang concludes by advising founders to build independent convictions based on first principles while emphasizing that systematic thinking and vision are becoming the scarce resources in an era of abundant computational intelligence.
- Goldman Sachs24 min
Arun Gupta on Bringing Silicon Valley’s Spirit to Public Service
Noble Reach establishes a "community of dual citizens" by placing private-sector innovators into 2-3 year federal rotations to address critical generational talent gaps within US government technology sectors. Supported by strategic partners like Goldman Sachs, the organization deploys scholars to solve complex problems in state, local, and federal agencies while leveraging bipartisan mentorship and technical training to decouple public service from political ideology. This "residency match" model aims to foster long-term career resilience and global competitiveness against adversaries practicing civil-military fusion, ultimately validating public service as both altruistic and professionally advantageous.
Lumentum CEO: How Lasers Are Transforming AI Data Centers
Michael Hurlston, Tony Kim, Molly O'Shea
Under CEO Michael Hurlston, Lumentum has transformed from a diversified manufacturer into a pure-play data center optical leader, tripling revenue and driving its stock price up to 12-fold by capitalizing on the industry's rapid shift from copper to fiber connectivity. This transition, necessitated by the physical limitations of copper in high-speed environments, is straining the specialized Indium Phosphide supply chain due to long lead times for dedicated fabrication facilities. Facing tens of millions in new hyperscaler orders, the company is simultaneously expanding into space-based internet infrastructure and navigating geopolitical dynamics that favor U.S. domestic suppliers over Chinese competitors.
- All-In Podcast1h 9m
The Robot Episode: Four Leaders on What's Coming
Dr. Péter Fankhauser, Bernt Børnich, Amanda McMaster, Jonathan Hurst, J-Cal
Leading robotics firms including Anybotics, Boston Dynamics, and Agility Robotics have collectively deployed over 1,000 specialized units globally to replace humans in hazardous industrial settings, prioritizing data sovereignty and ISO cybersecurity standards to avoid reliance on Chinese hardware. These companies are currently transitioning from pure detection to scalable autonomy through platform-based ecosystems and cost reductions, with humanoids targeting a $40,000 price point and quadrupeds enabling continuous 24-hour monitoring in extreme environments. While immediate returns focus on safety and leak prevention, the industry anticipates a hard take-off in manufacturing capabilities within a decade as foundational AI models enable complex, multi-arm manipulation without physical safety barriers.
- Sequoia Capital49 min
Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil
Jerry Tworek, Rohan Anil, Sonya Huang, Pat Grady
Founded by Jerry Liu and Rohan Ramachandran, Core Automation aims to replace static Transformer models with a new class of AI systems capable of continual, test-time learning. The organization is building an automated research lab designed to overcome architectural bottlenecks by developing hardware-efficient kernels and enabling models to autonomously optimize their own code. Success for the venture is defined by the system's ability to self-improve without human intervention, effectively extending the team's operations while bypassing the diminishing returns of current scaling methods.
- The Economist8 min
Why knowing the future doesn't always help predict markets | The Economist
Elm Wealth's study compared the performance of laypeople, artificial intelligence models, and professional macro traders by simulating 15 days of trading with perfect future news on historical market data. While professionals doubled their starting capital by dynamically adjusting leverage based on confidence, average human and AI participants barely broke even or lost their entire stake due to poor bet sizing. The findings highlight that successful investing relies more on capital allocation and risk management than on superior directional prediction accuracy.
- All-In Podcast1 min
The Incredible Deal Behind Darth Vader’s AI Voice
James Earl Jones' estate secured a comprehensive licensing agreement with Disney to utilize ElevenLabs technology for synthesizing the iconic "Darth Vader" voice, bypassing human impersonators for future applications. This agreement facilitated an interactive partnership with *Fortnite*, allowing players to summon the synthesized character as an ally once specific progression milestones are reached. Industry executives anticipate this initiative will accelerate a broader trend of franchising intellectual property likeness into immersive gaming modes across the sector.
- Goldman Sachs20 min
What the Surge in IPOs Means for Investors
Jay Ritter, Owen Lamont, Allison Nathan
Goldman Sachs Research reports that the U.S. IPO market reached record issuance levels in 2026 while maintaining average valuations that distinguish current activity from historical speculative bubbles. Analyst Jay Ritter and Owen Lamont offer diverging perspectives on this surge, with Ritter arguing deep capital markets can absorb new supply without overvaluation, whereas Lamont warns that a massive wave of issuance signals the early stages of a potential bubble. Both experts agree that structural shifts, including expanded private markets and industry consolidation, have permanently reduced the average annual IPO count to roughly 100, fundamentally altering the relationship between new listings and future market returns.