Latest Interviews
Showing 556–570 of 9,621 transcripts.
Clear all filters- All-In Podcast1h 4m
Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs
Andrew Feldman, Robin Rombach, Martin Scorsese
Cerebras Systems leverages a $25 billion order backlog from major tech giants to deploy chips that accelerate AI reasoning fifteen times faster than standard inference, effectively achieving early Artificial General Intelligence while reshaping global energy infrastructure. Simultaneously, Black Forest Labs utilizes its pioneering latent diffusion algorithms to bridge generative media and robotics, partnering with entities like Martin Scorsese to create scalable production tools and autonomous "world models." Both companies advocate for a hybrid ecosystem combining open-source accessibility with proprietary sovereignty, aiming to resolve economic bottlenecks and regulatory challenges through staged deployments and secure data practices.
- Milken Institute54 min
The Next Era of Health | Global Conference 2026
Esther Krofah, Robert Bradway, Nancy Brown, Alicia Jackson, Myechia Minter-Jordan, Dipen Parekh
Addressing a critical demographic tipping point and a $1 trillion caregiver gap, stakeholders including AARP, ARPA-H, and the American Heart Association are reforming U.S. healthcare to bridge the divide between technological innovation and clinical delivery. Initiatives range from deploying agentic AI to extend cardiovascular prevention to counties lacking specialists, to accelerating long-term care research through new regulatory pathways and a target reduction of drug discovery timelines to under five years. Concurrently, global competition drives a strategic pivot toward genomic integration and value-based models, with specific commitments to reduce Lipoprotein(a) levels by 95% and establish federal tax credits for the nation's 63 million caregivers.
Enterprises Fear Frontier Models | Sam Altman Offers Trump 5% of OpenAI | DeepSeek Builds Own Chips
Sam Altman, Trump, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
OpenAI and the U.S. government are exploring regulatory frameworks involving pre-approval processes and potential equity stakes, while major tech firms like Meta and SpaceX pivot toward selling excess compute infrastructure to reshape market dynamics. In the enterprise sector, adoption bottlenecks arising from talent shortages are slowing diffusion rates despite aggressive service deployment strategies by Microsoft and Amazon. Concurrently, venture capital is normalizing high-dilution financing and secondary liquidity events as geopolitical tensions accelerate a bifurcation between U.S. closed-source models and China's advancing open-source alternatives.
- Y Combinator14 min
Dot Plots: How to Actually See What Your Users Are Doing
Founders and enterprise product teams can uncover hidden usage patterns and early churn signals by utilizing dot plots, a visualization method originally derived from PayPal's fraud detection systems. This technique replaces opaque aggregate metrics with granular grids that map individual user activity against time, allowing stakeholders to distinguish between active cohorts and vanity behaviors that traditional dashboards mask. By combining these visual insights with cohort retention curves, organizations ranging from early-stage startups to massive platforms like Google Photos can identify specific feature correlations and usage gaps that drive product iteration and contract renewals.
- Sequoia Capital1h 4m
Kalshi's Tarek Mansour: Chaos by Design
Tarek Mansour, Luana Lopes Lara, Dharmesh
Kalshi co-founders Tarkan and Luana structured their organization to maintain a flat hierarchy and deliberate strategic disagreement, which fueled a legal battle against the CFTC that resulted in a 2024 victory and a 95% dominance of the U.S. prediction market. The company distinguishes itself through a regulated exchange model that charges fees on volume rather than customer losses, while enforcing strict risk management protocols for younger traders to ensure responsible usage. This victory allowed Kalshi to launch political markets just before the 2024 election, leveraging a founder-led culture of aggressive detail and real-time cultural synchronization to solidify its position against offshore competitors.
- The Diary Of A CEO1h 49m
Neil deGrasse Tyson: The Whistleblowers Were Right About Aliens
Neil deGrasse Tyson synthesizes extensive scientific data to argue that extraterrestrial life is statistically probable while warning that unregulated satellite proliferation and geopolitical tensions threaten the future of space exploration. He details critical cosmic phenomena ranging from the composition of dark matter to the physical consequences of black holes, emphasizing that human existence is chemically intertwined with the universe despite our small size. Tyson concludes that scientific inquiry, rather than subjective experience, remains the most reliable path to understanding reality, and he urges a shift in education to foster enduring curiosity and the self-created pursuit of knowledge.
- 80,000 Hours53 min
The Next President May Control Superintelligence
Sneha Revanur, Zershaaneh Qureshi
Founded by Sneha Ravenor at age 15, the nonprofit ENCODE has evolved from capability skepticism to spearheading a strategic campaign to regulate existential AI risks through state-level legislation and coalition building. The organization successfully influenced California's SB 53 and SB 1047 by prioritizing whistleblower protections and internal deployment reporting, while simultaneously dismantling corporate intimidation tactics like the OpenAI subpoena through diplomatic engagement. Facing the 2028 election as a potential turning point for AI governance, ENCODE advocates for a phased regulatory approach that codifies voluntary safety standards to build political capital before pursuing aggressive liability measures.
- Y Combinator32 min
Solving the Blank Canvas Problem: Gusto's AI Co-Founder
Launched in just ten weeks by a five-person team including co-founder Eddie Kim, Gusto Co-founder is a new AI product that transforms Gusto's payroll and HR data into proactive, agent-based automations for small businesses. The platform has already onboarded 500 paying customers by replacing traditional dashboards with text-based interfaces that execute complex workflows, such as full payroll processing, weather-based customer notifications, and tax credit application. This initiative validates a strategic pivot toward becoming a proactive business partner capable of lowering entry barriers for new entrepreneurs while automating compliance and growth opportunities through a "vibe coding" development methodology.
- Milken Institute56 min
Asia-Pacific Overtures: Investment Returns Through Diversification | Global Conference 2026
Laura Deal Lacey, Michael DeSombre, David Elia, Jacqueline Poh, Pandu Sjahrir, Lu Yin
The event convened U.S. policymakers, Singaporean ecosystem builders, and major sovereign wealth managers from Australia and Indonesia to align trade, infrastructure, and artificial intelligence strategies across the Indo-Pacific. Participants detailed a coordinated shift toward removing non-tariff barriers, deploying over $2 billion in targeted foreign assistance, and establishing regional AI stacks to counter Chinese technological dominance. Discussions highlighted a broader trend where pension funds and state actors are bifurcating portfolios between traditional commodities and frontier technologies while accelerating cross-border energy and digital infrastructure projects to sustain long-term regional growth.
- The Economist8 min
Has the AI boom entered a manic new phase? | The Economist
Henry Curr, Mike Bird, Josh Roberts
US equity markets have reached near-record capitalization levels driven primarily by massive AI-focused "giga IPOs" like SpaceX and anticipated offerings from Anthropic and OpenAI. This concentration, now comprising nearly 40% of the S&P 500, coincides with unusual retail participation and inverted options pricing that signal a shift toward speculative mania. Simultaneously, major technology firms have redirected capital expenditure toward infrastructure, causing a collapse in free cash flow and transforming the sector into a dominant force in global corporate debt markets.
- a16z1h 1m
The New Rules of Enterprise Software with Steven Sinofsky
Steven Sinofsky, Seema Amble, Elena Burger
As enterprise software evolves to support AI agents accessing core logic via APIs rather than traditional interfaces, incumbents like Salesforce are pivoting toward "headless" architectures to facilitate direct data retrieval. However, the immense stickiness of legacy systems such as SAP persists due to deeply codified business logic and regulatory compliance that cannot be easily replaced by simple automation or "vibe coding." Consequently, high-value startup opportunities emerge not by competing directly with these giants but by building invisible layers that capture unstructured human context, bridge functional gaps between departments, and manage the complex "long tail" of exceptions that legacy platforms ignore.
- Sequoia Capital55 min
Inside Zipline's Autonomous System: 140M Miles, Zero Incidents
Keller Rinaudo Cliffton, Eric Watson, Alfred Lin, Pat Grady
Since its 2016 launch in Rwanda, Zipline has evolved from a struggling medical logistics provider into a global autonomous infrastructure operator serving 5,000 hospitals across eight countries. The company now achieves a safety record of zero incidents over 140 million commercial miles while leveraging a vertical integration strategy to reduce delivery costs below those of human-driven vehicles. This operational success recently facilitated a $550 million partnership with the US State Department aimed at deploying similar life-saving services under a new commercial diplomacy framework.
- Goldman Sachs10 min
AI: What Investors Should Know
Jim Covello, Sharmin Mossavar-Rahmani
Goldman Sachs analysts project that global AI capital expenditures will surpass $3 trillion by 2026, though they warn of distinct "earnings bubbles" in public markets and "valuation bubbles" in private sectors driven by unsustainable demand. While consumer adoption remains strong, enterprise integration faces hurdles due to data fragmentation, leading experts to predict a strategic shift toward specialized Small Language Models that prioritize efficiency over mass labor replacement. The investment landscape is further complicated by geopolitical divisions favoring the U.S. in chip infrastructure and China in model production, alongside concerns over circular financing practices that delay profitability for large-cap companies.
- Goldman Sachs10 min
Geopolitics, AI, and Private Credit: Navigating Three Key Investor Concerns
Following Middle East strikes that disrupted global oil production and slightly altered Federal Reserve rate cut expectations, U.S. equities have recovered to record highs as historical data indicates a 95% probability of recovery within eight weeks. The firm attributes this resilience to America's energy insulation and revised 2026 earnings growth forecasts, while advising a strategic overweight in U.S. assets alongside a selective tilt toward the software sector. Although private credit risks remain contained and systemic stress is deemed unlikely, investors are urged to maintain long-term market participation through customized asset allocations rather than attempting to time the current volatility.
Accel: The Quiet Firm Behind Facebook, Cursor, Nebius, Lovable, Vercel
Arun Mathew, Miles Clements, Matt Weigand, Molly O'Shea
Accel leverages its multi-stage platform and three-decade partner cohesion to deploy hundreds of millions in capital across the full technology stack, recently leading significant investments in AI infrastructure giants like Nebius and cybersecurity leader Cyera. The firm strategically balances early-stage discovery with massive late-stage checks targeting potential trillion-dollar outliers, driven by a thesis that artificial intelligence will transition from hype to tangible real-world efficiency in sectors ranging from healthcare to developer tools. By prioritizing operational depth and a silent partnership model over marketing, Accel aims to capture exponential returns as the market converges on trusted platforms capable of scaling proven AI workloads.