Latest Interviews
Showing 151–165 of 3,489 transcripts.
Clear all filters- InstituteofTrading48 min
Sector Rotation Has Flipped the Script | At The Desk Ep.1
Capital is rotating out of speculative AI data center stocks into defensive sectors as the Federal Reserve signals potential rate hikes amid cooling inflation and a divergence between crypto assets and equities. Mega-cap tech firms like Nvidia and Broadcom saw share price declines despite record revenues due to guidance missing elevated expectations, while hyperscalers face scrutiny over massive capital expenditure projections and diminishing profit margins. Consequently, investors are shifting toward diversified long-short strategies and non-tech industries as concerns mount regarding the long-term unit economics of unprofitable AI enterprises.
What AI Leaders Really Think | Dylan Field, OpenAI, Boston Dynamics, MIT, IVP
Dylan Field, Ian Silber, Brian Ringley, Niko Klein, Holly Herndon, Zach Lieberman, Shreyas Garg, Molly
Figma's Dylan Field, Boston Dynamics' Brian Ringley, and OpenAI's Ian Silber outlined a strategic shift where AI serves as a collaborative lever for execution rather than a replacement for human intent, while advancing hardware reliability and interface fluidity. Speakers from IVP, MIT Media Lab, and musician Holly Herndon further emphasized that rapid prototyping, data curation, and systemic thinking are now essential for navigating the transition from static tools to autonomous agents in design and robotics. Collectively, the event framed the future of technology as a convergence of physical and digital realms that prioritizes high-level human creativity to overcome market homogenization and drive mass adoption of complex systems.
Why OpenAI and Anthropic Won't Win the App Layer | Glean Founder
Industry leaders project that enterprise AI will rapidly commoditize around open-source models, with Arvind Jain forecasting a three-year shift where most workloads run on such alternatives despite ongoing geopolitical concerns over Chinese capabilities. While organizations struggle to quantify ROI due to currently absurd token economics and inefficient inference costs, companies like Glean are betting on aggressive hiring and composite roles to build 10x superior products as the market matures. This strategy involves leveraging frontier model providers as assets rather than competitors, prioritizing specific problem-solving, and preparing for a rigorous audit of AI spending by 2026 to ensure genuine returns on investment.
"Dig Through Your Couches. SpaceX Needs It." Cyan Banister on Luke Nosek's Pitch
Cyan Banister, Luke Nosek, Scott Banister, Molly O'Shea
Ranking as the world's top angel investors, Cyan and Scott Bannister leverage a methodology of identifying non-obvious trends to secure transformative stakes in companies like SpaceX and Anduril. During their discussion at Long Journey HQ, they outline a future dominated by AI-driven robotics while advocating for decentralized models to counter surveillance states and urging a shift away from traditional degrees toward artisanal entrepreneurship. Blending this strategic foresight with personal philosophies on radical authenticity and introspection, the couple emphasizes the critical need for American deep tech resurgence to navigate the coming "consumer wave" of artificial intelligence.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
Why Now is the Time for the App Layer | Why Startups Should be TokenMaxxing | Mike Mignano, USV
Former founder Mike Mignano joined USV as a General Partner to lead thesis-driven investments in the energy infrastructure layer and application-era AI, leveraging his experience selling Anchor to Spotify. Mignano forecasts a market shift toward autonomous AI agents and cost-optimized routing layers while criticizing current labor displacement narratives and the viability of mid-tier venture funds. Drawing on lessons from Fred Wilson, he emphasizes relationship-building and the "obliterate, don't automate" philosophy to guide USV's focus on reinventing industries rather than merely automating them.
Open Models vs Frontier Models: Who Actually Wins? | The $100K Token Budget Every Engineer Will Need
Clay Bavor, Bret, Harry Stebbings, Sundar
Sierra, a $16 billion company serving 40% of the Fortune 500, is redefining enterprise AI by deploying proprietary fine-tuned models that replace traditional customer support with lifecycle management systems for high-stakes industries. Founder Clay Pavore drives this strategy through an "AI-native" organizational model that integrates engineers directly into client environments, utilizes token budgets comparable to headcount, and mandates the use of coding agents for internal processes and hiring. As the firm anticipates market consolidation into a few dominant platforms, it prioritizes rapid iteration via six-week board cycles and a culture of craftsmanship to navigate the escalating competition in frontier intelligence and cybersecurity.