Latest Interviews
Showing 1951–1965 of 3,506 transcripts.
Clear all filters- Milken Institute1h 2m
Institutional Investors: Stewarding Long-Term Assets
Steffen Meister, Alain Carrier, Sophia Cheng, Neil Cunningham, Blake Hutcheson
Representatives from the CPP Investment Board, OMERS, PSP, and Cathay Financial Holdings outlined aggressive strategies to expand private market allocations while targeting assets in Asia and emerging markets to capitalize on long-term growth. These institutional investors emphasized active governance and in-house talent acquisition to distinguish high-quality investments amidst valuation compression and geopolitical noise. The panelists concluded that despite fierce competition and macroeconomic headwinds, the shift of capital toward private assets remains essential for delivering sustainable returns as the public market landscape shrinks.
- Milken Institute57 min
Perfecting Precision Health: Personalizing Medicine for All
Joseph Mocanu, Shiho Azuma, David Berry, Kuldeep Singh Rajput, Helmut M. Schuehsler, Edwin Morris, Helmut Schüssler
A panel of healthcare leaders from Matic Medical Imaging, Integral Health, Ping An Good Doctor, Bioformis, and TVM Capital discussed the transition from reactive treatment to proactive, personalized medicine driven by AI and digital therapeutics. These innovators are leveraging regulatory shifts in the FDA and China to reduce drug development timelines, cut costs by up to 40%, and integrate remote primary care into national insurance frameworks. Despite challenges regarding data privacy and the economic viability of preventive care models, the collective strategy aims to replace traditional provider structures with consumer-owned health ecosystems that prevent chronic disease onset.
- Milken Institute54 min
Truce or Dare: Navigating US-China Relations
Curtis Chin, Steven Ciobo, Ng Kok Song, Weijian Shan, Lord Mandelson
Moderated by former Australian Trade Minister Steve, a panel including Kok Song of Avanda, PAG CEO Weijin Shan, and former European Trade Commissioner Lord Peter Mendelsohn analyzed the deteriorating US-China economic relationship and the declining probability of a bilateral trade deal before the 2020 election. Participants highlighted how tariffs have widened the US trade deficit while China's shifting focus toward domestic consumption and supply chain stickiness have left American consumers bearing an estimated $80 billion in costs. The experts forecast a prolonged period of geopolitical friction and potential global system bifurcation, predicting that political posturing will likely prevent meaningful resolution despite severe economic inefficiencies.
- Milken Institute55 min
The Race to Cashless: FinTech in Asia
Melissa Guzy, Chun Chang, Michael Correa, Henry Ma, Rahul Shinghal
Professionals from Shanghai Jiao Tong University, Westpac, WeBank, and Stripe convened to analyze the divergent digital payment ecosystems driving financial inclusion in China and Southeast Asia. The discussion highlighted how China's integrated tech-finance infrastructure and WeBank's low-cost, engineering-heavy model contrast with Westpac's venture-backed ecosystem strategy and Stripe's API-driven global adaptation. Participants concluded that future market evolution hinges on regulatory adjustments for data privacy, the standardization of QR interoperability, and the potential for biometric authentication to supersede traditional card rails.
- Lex Fridman1h 25m
Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI | Lex Fridman Podcast #43
Gary Marcus argues that current artificial intelligence lacks the common sense and causal reasoning required for general intelligence, necessitating a shift from pure deep learning to a hybrid architecture that integrates symbolic logic. He contends that true "trustworthy AI" demands the explicit engineering of abstract ethical concepts and diverse testing frameworks, such as a "Turing Olympics," rather than relying on statistical correlations or black-box scaling. Ultimately, Marcus predicts a gradual evolutionary path where AI acquires physical and psychological understanding by mimicking human innate cognitive libraries, rather than through a singular disruptive breakthrough.
- Milken Institute58 min
Jobs of the Future
Karen Gilchrist, Kevin Aluwi, Feon Ang, Jeanne Lim, Stephanie Nash, Jon-Paul Pritchard
Panelists from the World Economic Forum, Gojek, and Dyson convened to analyze the displacement of 75 million jobs by 2030 while advocating for a strategic pivot toward continuous learning and behavioral skills like resilience. The discussion highlighted how automation augments human productivity in sectors such as Southeast Asian ride-hailing and banking, yet warns that without legislative reforms and corporate investment in gig workers, low-skilled laborers face significant economic exclusion. Speakers proposed a future workforce defined by social impact and creative fulfillment, urging governments to implement skills credits and updated labor laws to support a transition where technology and human intelligence coexist.
- Milken Institute57 min
Reimagining Financial Services
Alison Tudor-Ackroyd, Abdulla Almoayed, Michael DeAddio, Brady Dougan, Akber Jaffer, Kenny Lam
Industry leaders from WorldQuant, Two Sigma, and Finastra discussed the strategic shift toward treating diverse data as a primary competitive asset, highlighting how cloud migration and open banking mandates in regions like Bahrain are accelerating institutional alpha generation. The dialogue detailed rapid talent acquisition strategies in Asia and the digitization of wholesale markets, noting that emerging technologies such as deep learning and AI are democratizing access to complex analytical tools while reshaping risk management practices. Looking ahead, experts predict significant disruption in Asian insurance and trade finance sectors, where legacy banking models are expected to commoditize into utilities as fintechs leverage real-time data to drive customer engagement and operational efficiency.
- Milken Institute1h 1m
AI and Machine Learning in Cancer Medicine
Marc Hurlbert, Maurice Ferré, Colin Hill, Mike Nohaile, Susan Swetter, Amanda Hall, Mark Shieldsmann, Lisa Desjardins
The Melanoma Research Alliance, which has directed over $250 million toward global melanoma initiatives, convened experts to address rising mortality rates and the critical need for advanced early detection technologies. Panelists from Stanford, GNS Healthcare, and Amgen demonstrated how deep learning algorithms now match human dermatologists in image classification while causal modeling predicts treatment responses to accelerate precision medicine. Despite current limitations regarding data quality, algorithmic bias, and regulatory hurdles, these advancements aim to bridge rural care gaps and eventually substitute traditional clinical trials with robust in-silico simulations.
- Lex Fridman1h 3m
Peter Norvig: Artificial Intelligence: A Modern Approach | Lex Fridman Podcast #42
This discussion with Peter Norvig outlines the evolution of artificial intelligence from memory-constrained logic to modern neural networks, highlighting a philosophical shift toward defining utility functions and addressing ethical challenges like algorithmic fairness. The dialogue examines the limitations of deep learning in reasoning, the necessity of combining symbolic AI with neural approaches, and the societal risks of attention economies and weaponization rather than existential robot threats. Furthermore, Norvig reflects on the changing nature of programming expertise, the unique dynamics of online education, and future research directions focused on integrating common sense reasoning into code assistants and natural language systems.
- Jane Street1h 6m
Derek Dreyer: RustBelt: Logical Foundations for the Future of Safe Systems Programming
Derek Dreyer, Ralf Jung, Jacques-Henri Jourdan, Robbert Krebbers, Hoang-Hai Dang, Jan-Oliver Kaiser
The MPI for Software Systems' "Rust Belt" project applies decades of academic research to formally verify the safety guarantees of the Rust programming language against the risks posed by "unsafe" code. By leveraging the Iris framework and mechanizing proofs in the Coq assistant, the team establishes a semantic safety model that independently verifies complex libraries like `Arc` and `Mutex`, successfully identifying critical bugs in memory ordering and reference counting. This methodology ensures that future language evolution and standard library modifications can proceed with mathematical certainty that undefined behavior remains impossible.
- Milken Institute59 min
Fighting Fake News: Can You Handle The Truth?
Jonathan McClory, Warren Fernandez, Ellana Lee, Gary Liu, Maria A. Ressa
Industry leaders, including Maria Ressa and Gary Liu, convened to analyze how profit-driven internet economics and state-sponsored cyber warfare have eroded democratic trust by incentivizing the rapid spread of disinformation. The discussion highlighted the disproportionate impact of these campaigns on journalists and younger demographics while rejecting media literacy as a standalone solution in favor of multilateral regulatory frameworks and global governance agreements. To operationalize these defenses, the World Editors Forum announced World News Day to mobilize professional newsrooms in exposing corruption and reclaiming verified information amidst rising deepfake threats.
- Lex Fridman57 min
Leonard Susskind: Quantum Mechanics, String Theory and Black Holes | Lex Fridman Podcast #41
Stanford Institute of Theoretical Physics founding director Leonard Susskind discusses the necessity of dual mindsets involving arrogance and humility to advance theoretical physics, while distinguishing true quantum computers from classical simulators capable of modeling complex quantum systems. He asserts that string theory fundamentally resolved the historical conflict between quantum mechanics and gravity and predicts that quantum computing's primary utility lies in simulating chemistry and material science rather than solving general algorithmic problems. Additionally, Susskind addresses the emergent nature of spatial dimensions, the thermodynamic origins of time's arrow, and the limitations of using scientific methods to answer questions regarding a purposeful intelligent agent or a simulation-based reality.
- Lex Fridman1h 17m
Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment | Lex Fridman Podcast #40
MIT professor Regina Barsley argues that the future of scientific breakthroughs in oncology and natural language processing depends on shifting from rigid mechanistic models to probabilistic approaches that address real-world suffering. She highlights critical barriers such as obsolete medical datasets and regulatory inertia, advocating for a patient-donation model to accelerate early cancer detection and generative drug design. Drawing from her personal breast cancer diagnosis, Barsley urges researchers to prioritize high-impact applications over incremental algorithmic improvements, emphasizing that successful adoption relies more on human advocacy than the intrinsic superiority of new ideas.
- Milken Institute58 min
Bank on It: Companies That Are Changing the Rules, and the World
Caroline Fairchild, Bom Kim, Hakan Koç, Ming Maa, Abhinav Sinha
Coupang, Auto1 Group, Grab, and OYO Rooms, all backed by SoftBank's Vision Fund, leverage asset-heavy strategies to dominate e-commerce, automotive, super-app, and hospitality sectors by solving unique regional infrastructure gaps. These companies collectively delayed public listings to prioritize vertical integration and hyper-local adaptation, resulting in massive scale metrics such as Coupang's $11 billion run rate and Grab's status as Southeast Asia's first billion-dollar tech firm. Looking forward, their expanded logistics networks and proprietary technology aim to penetrate new global markets, including the US, while further formalizing informal economies through deep financial and operational ecosystems.
- Milken Institute1h 0m
Philanthropy and Democracy in the 21st-Century
LaTese Briggs, Chuck Harris, George Pavlov, Rob Reich, Amy Smith
Moderator Latisse Briggs hosted a panel featuring Chuck Harris, George Pavlov, Rob Reich, and Amy Smith to dissect the tension between rising inequality and philanthropic capital deployment strategies. The speakers critiqued the "dead hand" of perpetual wealth and the plutocratic nature of tax deductions, advocating instead for time-limited funding cycles, radical transparency, and collaborative "collusion for good" to replace isolated market-style philanthropy. Ultimately, the group consensus emphasized that private capital must shift from temporary fixes to scalable, evidence-based interventions that influence government priorities while respecting democratic accountability.