Latest Interviews

A New Policy Environment for China | Global Conference 2025

Robin Hu, Fred Hu, Kevin Lu, Robert Rubin, Lu Zhang

Former Treasury Secretary Robert Rubin joined a diverse panel to critique U.S. reliance on tariffs and structural decoupling while highlighting China's critical need to pivot from investment-led growth to domestic consumption. Discussing the high costs of current trade wars, the group identified inflation and supply chain disruptions as likely drivers for eventual negotiations, even as private equity leaders reorient strategies toward domestic markets and green technology. Ultimately, the dialogue concluded that sustainable resolution requires abandoning containment postures in favor of constructive engagement on shared challenges like AI governance and climate transition.

A Conversation with Former First Lady of the United States Jill Biden | Global Conference 2025

Jill Biden, Esther Krofah

At the 28th annual Milken Institute Global Conference, Dr. Jill Biden and Esther Kroffa outlined the Women's Health Network's strategy to address historical data gaps and the $1 trillion global economic opportunity by shifting funding reliance to the private sector. The initiative targets critical breakthroughs in areas like endometriosis diagnostics and Alzheimer's care while deploying a digital platform and pooled investment fund to dismantle data silos and accelerate inclusive innovation. By reframing women's health as a universal business imperative rather than a niche category, the network aims to impact millions of lives globally by 2025 through enhanced research inclusion and strategic capital allocation.

A Conversation with US Secretary of the Treasury Scott Bessent | Global Conference 2025

Scott Bessent, Richard Ditizio, Michael Milken

The 28th annual Milken Institute Global Conference convened 1,000 speakers under the theme "Toward a Flourishing Future" to address critical resource gaps in health, connectivity, and global wealth distribution while urging for inclusive coalitions to bridge societal divides. Concurrently, Treasury Secretary Scott Bessent outlined the Trump administration's economic agenda, which prioritizes trade tariffs to boost domestic manufacturing, a "big beautiful bill" of tax cuts and deregulation, and an aggressive strategy to lower the federal deficit by 1% annually. The administration further signaled a shift toward "safe, sound, and smart" financial regulation, strategic partnerships with Ukraine, and a focus on maintaining U.S. dominance in AI and quantum computing to foster a "new golden age" of prosperity.

Will Open Source AI Overtake Closed Models? Ft. Olama, Fireworks and Open Router

Jeff Morgan, Dmytro Dzhulgakov, Alex Atallah, Dima, Matthew Walkerman

Industry leaders from Ollama, Fireworks, and OpenRouter advocate for a balanced future where open-source and closed-source models each command 50% of inference tokens, driven by the strategic advantages of decentralized innovation and lower capital barriers. While current open adoption sits at 30%, panelists predict this share will expand as foundational models improve through reinforcement learning and enterprises prioritize ownership of proprietary fine-tuned artifacts. This shift relies critically on sustainable decentralized inference infrastructure to compete against the entrenched advantages of large, closed-source providers.

OpenAI’s Sam Altman on Building the ‘Core AI Subscription’ for Your Life

Sam Altman, Jens Nordvigsen, DAN GALPIN, SAM SACCONE

OpenAI has evolved from a 14-person research lab into a commercial powerhouse driven by the GPT-3 API and the viral ChatGPT platform, which now serves 500 million weekly active users. Under Sam Altman's leadership, the organization prioritizes high-impact small teams and a vision of becoming a personalized AI operating system while navigating a market where startups outpace legacy enterprises in agility. The company's roadmap emphasizes the transition from text-based assistants to autonomous agents by 2025, with future infrastructure expected to facilitate seamless agent-to-agent communication and eventual robotics applications.

Google's Jeff Dean on the Coming Transformations in AI

Jeff Dean, Bill Korn

This presentation outlines the trajectory of deep learning from its 2012 scaling breakthroughs toward a future of multi-modal agents and physical robotics capable of performing thousands of tasks within two years. It details a converging industry landscape where a handful of foundational models drive a secondary ecosystem of efficient, specialized architectures supported by Google's upcoming Ironwood TPU generation and Pathways system. The discussion further projects how these advancements will revolutionize scientific discovery, democratize virtual engineering through junior-level AI assistants, and reshape economic structures via dynamic compute allocation.

Open Evidence Captures Doctors’ Collective Wisdom with AI ft. Zachary Ziegler

Zachary Ziegler, Zach

OpenEvidence, a medical search tool used daily by over 25% of US physicians, recently enabled an internal medicine doctor to successfully manage an in-flight emergency for an immunocompromised cancer patient without diverting the aircraft. By synthesizing current literature and CDC data, the platform confirmed the patient did not require immediate intervention and provided a targeted treatment protocol that ensured a positive outcome upon landing. Building on this high-volume, real-time performance, the company is now expanding into direct workflow integration and developing an Aggregate Clinical Wisdom initiative to encode expert consensus from top specialists across various fields.

Anthropic CPO Mike Krieger: Building AI Products From the Bottom Up

Mike Krieger, Trevor Johnsen, Sam Nelsons, Emily Fortuna, Dave Elliott Smith, Mike McDonald Jr.

At a recent strategic discussion, Anthropic executive Mike McDonald Jr. outlined a paradigm shift where the distinction between AI-generated and human-created content becomes irrelevant, emphasizing instead that provenance via blockchain and compelling human storytelling will define future value. The organization is operationalizing this vision through a "bottoms-up" product philosophy and the development of the Model Context Protocol (MCP), which evolved from engineer-led integrations to establish a standardized, open framework for autonomous agent interactions and economic transactions. Internally, this approach has resulted in massive AI adoption with over 70% of code reviews generated by machines, though leaders note that non-technical organizational bottlenecks now pose the primary constraint on high-velocity development.

9 Years to AGI? OpenAI’s Dan Roberts Reasons About Emulating Einstein

Dan Roberts, Einstein

OpenAI demonstrated a strategic pivot toward test-time compute and reinforcement learning by showcasing models like O1 and O3 that solve complex physics problems, such as quantum electrodynamics and General Relativity, in minutes compared to human timescales. To support this new scaling paradigm where reasoning effort outweighs pre-training data, the organization plans to raise $500 billion to construct massive data center facilities in Abilene, Texas. This infrastructure investment aims to accelerate a timeline predicting that within nine years, systems will evolve from reproducing existing scientific knowledge to generating novel discoveries comparable to Einstein's major breakthroughs.

How OpenAI Built its Groundbreaking Deep Research Product ft. Isa Fulford

Isa Fulford

OpenAI's Deep Research introduces an agentic o3 model capable of executing complex, multi-step online investigations over five to thirty minutes to generate analyst-level reports. Targeted at professionals like venture capitalists and academics, the system synthesizes cross-lingual data through interactive clarifications and real-time transparency into its reasoning process. While current versions prioritize read-only browsing and citation granularity, the roadmap outlines plans to integrate these tools into broader reasoning models and enable autonomous action-taking based on findings.

A Conversation with Citadel CEO Ken Griffin | Global Conference 2025

Ken Griffin, Michael Milken

Ken Griffin critiques current U.S. fiscal policies and immigration frameworks, warning that regressive tariffs and restrictive visa rules threaten to erode national flexibility while failing to retain the international scientific talent essential for future growth. He advocates for aggressive K-12 and higher education reforms driven by school choice and data transparency to dismantle systemic inefficiencies, citing Success Academy and his own Harvard philanthropy as models for overcoming institutional inertia. Looking forward, Griffin aims to mobilize an estimated $150 billion in generational wealth to fund private-sector innovations and inspire a new era of scientific ambition similar to the 1960s space race.

How AI is Reinventing Software Business Models ft. Bret Taylor of Sierra

Bret Taylor, Ravi, Robin Wright, Clay, DAN GALPIN, BRETT HESTERBERG

Brett Taylor, formerly CTO of Facebook and current leader of Sierra, outlines a transformative vision for the AI sector where specialized, outcome-based agents replace traditional websites and software subscriptions. Taylor advises entrepreneurs to evolve beyond personal technical expertise to avoid stagnation, emphasizing that the next trillion-dollar opportunities lie in vertical-specific solutions that deliver tangible business results rather than generic productivity tools. Through Sierra's innovative pricing model that charges only for autonomous resolutions, the company exemplifies a strategic shift toward selling outcomes, positioning startups to outmaneuver legacy incumbents struggling to adapt their business models to this new era.

More Design Founders

The presentation argues that integrating advanced coding tools over the next decade will elevate superior design to a primary strategic asset, prompting a shift from traditional employment to founder-led product launches. By redefining the "design job of the future" as entrepreneurship, the speaker highlights how user empathy and quality standards, proven by successes like Airbnb and Stripe, can drive independent company formation. Consequently, the strategy prioritizes funding teams that embed strong design culture from the outset to capitalize on these accelerating technological capabilities.

The Data Center is the New Unit of Compute: Crusoe CEO Chase Lochmiller

Chase Lochmiller, David Kahn, Pat

Crusoe Energy is rapidly constructing massive AI factories in Abilene, Texas, leveraging a vertically integrated supply chain to deliver gigawatts of power capacity decades ahead of traditional utility timelines. By repurposing stranded renewable energy and deploying advanced cooling architectures, the company accelerates the shift toward sovereign AI infrastructure while addressing critical bottlenecks in power and hardware availability. Founder Chase Lockmiller positions this industrial-scale approach as the mechanism to manufacture intelligence, creating a resilient foundation for the next phase of artificial general intelligence.

The Physical Turing Test: Jim Fan on Nvidia's Roadmap for Embodied AI

Jim Fan

NVIDIA Director Jim Phan outlines the "Physical Turing Test," a benchmark for robots performing complex physical tasks indistinguishable from human performance, while identifying data scarcity as the primary bottleneck for current systems. To overcome this, NVIDIA employs Simulation 2.0, utilizing generative models like Robocasa and video diffusion to exponentially scale training environments and introduce the GR00T N1 open-source model capable of zero-shot generalist control. This technological evolution aims to transition the physical world into a "Physical API," where software-defined skills enable autonomous robots to seamlessly handle household and industrial tasks, effectively embedding human-like dexterity into everyday infrastructure.