Latest Interviews
Showing 496–510 of 9,621 transcripts.
Clear all filtersWe Built Our Own Salesforce in Months. Here's Why We're Cancelling the $600K Contract | Curative CEO
Fred Turner scaled Curative from a failed biotech startup into a $5 billion COVID-19 testing operation by deploying a custom supply chain and leveraging government contracts, eventually pivoting the company into a $1.3 billion health insurance provider. The venture now utilizes in-house AI agents like "Gwen" to automate provider contracting and credentialing, drastically reducing operational costs while Turner co-founded Subcritical to advance regulatory hurdles for next-generation nuclear energy. Following a 10x return for initial investors, the organization exemplifies a shift toward AI-driven workforce architectures and aggressive cost reduction strategies within the fragmented US healthcare market.
- All-In Podcast1h 30m
Can the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
Demis Hassabis, Mira Murati, Jason Calacanis, Chamath Palihapitita
DeepMind's Demis Hassabis and major industry leaders are advancing a US-led self-regulatory organization for AI that prioritizes independent expert oversight over government agencies to prevent global developmental stagnation. While this framework aims to manage catastrophic risks through voluntary-to-mandatory adoption, skepticism remains regarding potential regulatory capture by major labs and competing strategies to impose stricter federal certifications. Concurrently, the sector faces disruptive financial and legal dynamics, including a proposed Stripe-PayPal-Block merger and a high-profile trade secret lawsuit between Apple and OpenAI, as the industry navigates severe energy constraints and a widening cost gap between enterprise and frontier models.
- Bank of America19 min
Global Rates & FX Views: Japan’s GPIF, Fed and ECB
Ralf Preusser, Sphia Salim, Meghan Swiber, Shusuke Yamada, Megan Zweiber, Sia Saleem
Speculation regarding Finance Minister Katayama's support for the GPIF to increase Japanese financial asset holdings has sparked market anticipation of a potential 5% reallocation from foreign to domestic bonds, which could inject roughly 21 trillion yen into the JGB market. This hypothetical shift is projected to exert significant pressure on European government bonds, particularly in France, Spain, and Italy, by triggering an estimated €37 billion in sales that could alter relative value dynamics. Concurrently, the event analysis suggests that while this reallocation presents a modest headwind for US Treasury demand, global central bank strategies remain focused on anticipated September rate hikes for the Fed and ECB before a projected cycle of meaningful cuts begins in 2027.
- Goldman Sachs18 min
Carlos Cordeiro on the Legacy of the FIFA World Cup 2026
The 2026 FIFA World Cup marks a historic first with 48 teams competing across the United States, Canada, and Mexico, generating projected revenues of $14 billion for FIFA and a $20–25 billion impact on U.S. GDP. Under the strategic leadership of co-chair Carlos Cordero, this joint bid leveraged unified North American governance to secure the tournament and fund development programs that currently sustain one-third of global football federations. While aiming to broadcast to 6 billion viewers and shift international perceptions of the region, the event is designed to catalyze a shift in player development, fostering homegrown talent capable of challenging established football powers.
- Stanford Online34 min
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Economics of Generative AI
Apoorv Agrawal, Chloe Fang, Ali Ghotzi, Jensen, Mark Andreessen, Demis
Aporv, leader of Altimeter's AI-focused investment firm, leads a nine-week course applying Chatham House rules to analyze the economic stack of the artificial intelligence sector. The curriculum dissects the current "triangle" market structure where semiconductor firms capture 75% of revenue growth while application layers struggle with thin margins due to significant inference costs. Participants develop mental models to navigate Series A investment opportunities and predict a potential decade-long shift in value distribution should hyperscalers successfully deploy specialized ASICs to alter the cost equilibrium.
- Stanford Online49 min
Stanford MS&E435 Economics of the AI Supercycle | Spring 2026 | Applications, AI in Life Sciences
Eric Kauderer-Abrams, Apoorv Agrawal, Eric Abrams, Josh
Chai Discovery and Anthropic are establishing a new drug discovery paradigm by serving as tool providers that convert biological engineering from a trial-and-error art into a scalable, AI-driven discipline. By integrating large language models with wet-lab validation, these firms aim to compress the traditional ten-year development cycle into five years while democratizing research capabilities for individual scientists. The convergence of these technologies, supported by massive data generation and strategic partnerships with major pharmaceutical companies, positions AI-native infrastructure as the critical lever for the United States to compete globally in biotech.
- The Economist7 min
Why Le Pen is keeping Trump at a distance | The Economist
Le Pen, Trump, Edward Carr, Adam Roberts, Sophie Pedder
France currently stands as Europe's only power combining significant military spending with the operational will to deploy forces globally, fostering a strong strategic partnership between President Macron and Prime Minister Starmer. Conversely, the rise of the far-right National Rally under Marine Le Pen threatens to fracture the EU's core France-Germany axis by prioritizing national sovereignty over integration, potentially clashing with Berlin on Ukraine policy and demanding fiscal concessions. While Le Pen's administration seeks to reduce EU contributions and rollback regulations, the French public's reluctance toward total withdrawal may force the party to adopt a more restrained, albeit disruptive, approach to European reform.
- RAISE Summit12 min
Agents are Here. Compute has to Change | Sachin Katti, OpenAI | RAISE Summit 2026
OpenAI has entered an agentic era where its internal roadmap is realized through AI systems handling nearly all internal token generation and conducting autonomous research tasks. This shift has compressed model release cycles from half a year to monthly intervals by enabling 50x growth in research experimentation and expanding compute demands to include synthetic data and reinforcement learning. As non-engineering departments and AI interns drive adoption, the organization is simultaneously rebuilding its infrastructure with heterogeneous hardware and complex networking to support the iterative, tool-heavy workflows required for this new phase of recursive development.
- RAISE Summit19 min
The Democratization of Engineering | Sassine Ghazi, Synopsys | RAISE Summit 2026
Synopsys CEO Sasan Ghazi outlines a strategic pivot toward full silicon-to-systems co-design following the ANSYS acquisition, enabling cross-domain physical optimization for complex AI and robotics applications. As the industry shifts from monolithic architectures to heterogeneous designs, the company leverages autonomous L4-level AI agents to accelerate chip workflows while addressing severe wafer capacity constraints projected to impact the market by 2030. This approach prioritizes high-fidelity digital twins to reduce prototyping costs and secure supply chains against the surging demand for physical AI infrastructure.
- RAISE Summit21 min
Crusoe's Energy-First Vision for the AI Cloud | Chase Lochmiller | RAISE Summit 2026
Chase Lochmiller, Henri Delahaye, Francesc Campoy, DAN GALPIN, FRANCOIS BEAUFORT
Crusoe is establishing itself as a vertically integrated AI infrastructure leader by relocating compute from traditional hubs to stranded energy sources, having secured over 40 GW in its development pipeline with rapid construction cycles like the 11-month Abilene project. The company recently acquired Atero to deploy its "Crusoe Memory Alloy" for optimized inference, simultaneously shifting its product strategy toward distributed "AI factories" that monetize hardware investments through cost-effective token generation rather than large-scale training. As the industry transitions from theoretical announcements to execution over the next 24 months, Crusoe prioritizes operational resilience and end-user value delivery to dominate the emerging market for decentralized, energy-driven AI services.
- RAISE Summit19 min
Building AI That Gets Work Done | Gautier Cloix, H Company | RAISE Summit 2026
CEO Gautier has transformed the enterprise AI landscape by launching H, a solution that bypasses legacy system barriers through third-generation "computer use" technology capable of mimicking human actions on any software interface. This approach delivers measurable financial returns in weeks rather than months, evidenced by 4–5% procurement savings in construction and streamlined operations for major clients like BNP Paribas. By leveraging cost-effective, proprietary models within Nvidia's ecosystem, H competes globally by prioritizing immediate balance sheet impact over theoretical capabilities, effectively removing the execution layer to let human capital focus on strategic intent.
- a16z26 min
"Meme Your Dream into Reality" | Replit CEO with a16z
Replit CEO Amjad Chaudry transformed his company from a pre-revenue startup into a profitable entity by leveraging a "build in public" strategy that utilized personal storytelling and exposure therapy to manage public scrutiny. This approach included turning the accidental deletion of a customer database into a trust-building moment by openly admitting fault and rapidly implementing mandatory security fixes. The discussion further outlines how leaders can navigate viral mechanics on platforms like X and Instagram while adopting risk management tactics such as acknowledging mistakes to turn potential crises into positive engagement.
- Y Combinator1h 14m
World Models, JEPA And The Path To Sample-Efficient RL
This event analyzes the critical bottleneck of sample efficiency in artificial intelligence, contrasting current deep learning models' massive data requirements with the human brain's ability to learn from minimal experience through superior world modeling. The discussion details how advancements in non-differentiable control theories, video diffusion architectures, and Joint Embedding Predictive Architectures are shifting strategies from model-free behavior cloning to synthetic, simulation-based planning for complex robotic and autonomous driving tasks. By addressing scaling challenges in high-dimensional action spaces and architectural limitations like the Transformer's inefficiency in time-domain compression, the presentation outlines a roadmap toward general-purpose robotics and AGI by 2026 through the integration of "awake sleep" mechanisms and physics-informed predictive systems.
- RAISE Summit22 min
Fireside Chat with Lin Qiao, CEO & Co-Founder of Fireworks AI | RAISE Summit 2026
At the RAISE conference, Matt Miller of Avantik VC discussed Fireworks AI's specialized intelligence platform with founder Lin Chao, a former Meta AI infrastructure lead who built the company to help businesses own their data-driven models rather than relying on generic APIs. The dialogue highlighted how fine-tuning open-source models on proprietary data allows companies to reduce inference costs by up to tenfold while creating durable competitive moats against commoditized application development. Together, they outlined a strategic shift where long-term business survival depends on continuous model customization and the deployment of millions of specialized models tailored to specific use cases.
- RAISE Summit22 min
David Bitton, David Dubrovsky, Andrew Dieckman & Rachel Metz | Fireside Chat with 5C & AMD
David Bitton, David Dubrovsky, Andrew Dieckman, Rachel Metz
The event examines the strategic co-design partnership between infrastructure builder 5C and chipmaker AMD, which aims to resolve global compute shortages through vertically integrated data centers optimized for multi-generational hardware cycles. Industry leaders prioritize site selection based on power grid capacity, political stability, and proactive community engagement to mitigate opposition while managing the intense market consolidation where top customers control half of global demand. Looking toward a decade ahead, the discussion outlines a bifurcated infrastructure future featuring massive liquid-cooled training clusters alongside edge AI, driven by the necessity of flexible power allocation and deep strategic trust between partners.