Latest Interviews

The Nuclear Renaissance - Radiant |  a16z American Dynamism

Tori Shivanandan, Doug Bernauer

Radiant Energy is developing the transportable Kaleidos micro-reactor, a modular nuclear power unit designed to replace aging infrastructure and support applications ranging from AI data centers to deep space exploration. Founded by former SpaceX engineer Doug Kim, the company leverages a factory-built assembly line model to deliver plug-and-play energy modules with a five-year fuel cycle, aiming to conduct its first full-power test at Idaho National Laboratory's Dome by 2026. This initiative seeks to restore U.S. energy independence and accelerate nuclear innovation by overcoming historical regulatory stagnation through a commitment to aggressive safety testing and mass production.

Must Read Research: Russell Concentration, Hazardous Trash is the New Treasure; AI Financing

Russell, Candace Browning, Savita Subramanian, Nandita Nayar, Neha Kota

Savita Subramanian warns that passive indices face extreme concentration risks as the top ten Russell 1000 stocks command 35% of the index, while leveraged ETFs now hold over $75 billion to amplify volatility. Amidst this market structure shift, Nandita Nayar highlights a critical scarcity in hazardous waste disposal infrastructure where zero new landfills have been permitted since 1996, leaving Clean Harbors with over 65% of North American incineration capacity. Simultaneously, Neha Kota analyzes a divergence in AI-linked credit markets where high-yield spreads have widened due to data center stress, prompting a strategy to leg into the remaining $92 billion in expected 2026 supply.

What the hell happened with AGI timelines in 2026?

Andrej Karpathy, Rob Wiblin

Between October and December 2025, the AI sector shifted from bearish skepticism to explosive growth driven by the release of Claude 3.5 and the emergence of capable autonomous agents, which propelled combined revenues for OpenAI and Anthropic to annualized rates of 700% to 1,600%. While frontier models achieved massive efficiency gains in high-feedback domains like coding and specific scientific proofs, with Anthropic's gross margins climbing to over 70% and internal productivity surging 800%, they still struggle with the strategic ambiguity and low feedback density of real-world business autonomy. This rapid acceleration has prompted a shortening of AGI timelines to a plausible 2028-2030 window, leading experts to advocate for coordinated pauses due to emerging compute bottlenecks and the urgent need for societal preparation.

Chai Discovery's Bitter Lesson: Drug Design Is Another Scaling Problem

Josh Meier, Matt McPartlon, Pat Grady, Sonali Singh

Chai Discovery is industrializing drug discovery by deploying a simplified, AI-driven infrastructure that replaces traditional trial-and-error with scalable molecule design, partnering with major pharmaceutical firms like Eli Lilly and Pfizer rather than managing a full internal pipeline. The company's second-generation model has achieved a 15% binding success rate through diffusion-based generation and a continuous feedback loop from wet-lab experiments, effectively targeting historically undruggable biological structures. By shifting the industry toward computational "last in class" solutions, Chai aims to accelerate development timelines from months to days while ensuring extreme safety and manufacturability at the molecular generation stage.

Inside the New Sports Economy: Innovation, Partnerships, & Global Expansion | Global Conference 2026

Jon Schwartz, David Abeles, Heather Brooks Karatz, Jeff Gordon, Ben Kennedy

NASCAR and golf leaders are redefining their industries through experiential festival models, massive digital gaming partnerships, and the strategic repurposing of venues for year-round mixed-use development. With new playoff formats and unique event locations like the upcoming San Diego military base race, the sports aim to capture first-time fans while leveraging simulation technology and female demographic data to drive engagement. Industry experts predict significant consolidation in golf by 2026 and emphasize that authentic values will remain essential for sustaining long-term revenue in an increasingly diverse and digital sports economy.

Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Work

Dmitri Dolgov

Waymo has advanced its fully autonomous fleet to operate 500 weekly trips across 15 U.S. cities, achieving a safety record 17 times better than human drivers through a multimodal sensor architecture and a foundation model utilizing both fast geometric reactions and slow semantic reasoning. The company addresses the unique challenges of physical AI by integrating real-world data into a generative simulation ecosystem that creates rare edge cases for training, while its "Safety and Readiness Framework" rigorously validates performance to ensure public trust and regulatory compliance. Looking ahead, this structural augmentation and flywheel of agent, simulator, and critic data positions Waymo to expand its technology beyond personal vehicles into trucking and broader physical applications.

Understanding Today's Consumer: Holly O'Neill Interviews Sarah Tam of Rent the Runway

Holly O'Neill, Sarah Tam

Bank of America President Holly O'Neill and Rent the Runway Chief Merchant Officer Sarah Tam convened to discuss building resilient, customer-first businesses by shifting from traditional ownership models to subscription-based access. Tam detailed how the company leverages real-time data and millions of customer signals to personalize the fashion experience and drive sustainability, while the partnership introduces exclusive rewards discounts for Rent the Runway members. The collaboration highlights a broader market evolution where leaders must transition from selling products to serving consumer needs for credibility, variety, and emotional connection.

The Problem With Testing AI Architectures at Small Scale | Jerry Tworek, Core Automation

Jerry Tworek

The event critiques the industry's conventional practice of validating model architectures on small datasets, arguing that this approach fails to capture the true potential of scalable systems. It specifically highlights that reinforcement learning models require a minimum threshold of compute to exhibit meaningful capabilities, suggesting that lower-scale testing often yields uninteresting results. Consequently, the organization advocates for a paradigm shift toward large-scale initial evaluations to ensure architectural research accurately reflects future performance.

Why compute prices might 10x as AI gets smarter

Anthropic's projected tenfold revenue growth outpaces the industry's threefold compute expansion, forcing a shift toward higher inference margins, increased spot prices, and a reallocation of hardware to inference workloads. This economic divergence is exacerbated by hard supply constraints in Moore's Law, fab construction, and wafer allocation, which concentrate pricing power among frontier labs capable of charging significant premiums for compute-efficient models. Consequently, the market faces a pre-singularity regime where inelastic compute supply drives sustained price increases and intelligence concentration until automated manufacturing potentially resolves future scarcity.

Arena CEO: There Will be a $100BN US Open-Source Model & Data is a Trillion Dollar Market

Anastasios Angelopoulos, Harry Stebbings

Arena founder Anastasios outlines a shifting AI landscape where Chinese open-source models like Kimi K3 challenge American closed-source dominance, while geopolitical tensions and security concerns drive an anticipated five-year migration toward sovereign, fine-tuned architectures. The event analyzes critical economic friction points, including the unsustainability of current open-source business models, the looming risk of US export controls on advanced chips, and the consolidation of a volatile market where 75% of new "neo-labs" may fail or be acquired solely for talent. Ultimately, the discussion projects that future value will derive from integrating data into biological feedback loops and robust physical infrastructure, rather than the current hype surrounding GPU memory and speculative software applications.

Inside the Factory Behind Base Power's $1B Series D

Justin Lopas, Molly O'Shea

Base Power recently secured a $1 billion Series D funding round led by Ribbit and JPMorgan Chase, establishing a $13 billion valuation to accelerate production of its high-capacity BaseCore home battery system. The vertically integrated manufacturer is scaling operations at its Austin facility to 4,000 units weekly, featuring a modular design that enables full-home backup power in under two hours per unit. This growth supports a strategic rollout of both direct consumer sales and utility partnership models across key regional markets as the company prepares to open a second factory near the Austin airport.

Former US Secretary: We Needs To Reform Now, We’re Heading Towards A Catastrophe | Pete Buttigieg

Pete Buttigieg

Pete Buttigieg warns that the United States faces systemic collapse due to unchecked national debt, wealth inequality, and an electoral system that fuels polarization, urging immediate structural reforms including the abolition of the Electoral College and corporate personhood. He outlines a vision for 2028 where technological advancements like AI are regulated to prevent extreme wealth concentration while redefining social contracts through mechanisms like public dividends and shorter work weeks. Buttigieg also critiques current foreign policy failures in the Middle East and the lack of coherent exit strategies in conflicts with Iran, arguing that only deliberate, transparent leadership can restore trust and prevent democratic backsliding.

Is billionaire wealth becoming more legitimate? | The Economist

Callum Williams, Rosie Blau

Recent research distinguishes between "competitive wealth" derived from creating goods and services and "uncompetitive wealth" from natural resources or political favors, finding the former is expanding while the latter declines. This shift is driven by rapid consumer growth in China, strong market returns, and the mobile-first internet era, which has fueled self-made billionaires in sectors like entertainment and retail rather than just technology. Consequently, data indicates that effective tax rates for the wealthiest Americans are high and that aggressive wealth taxes on competitive entrepreneurs may incur greater economic costs than the benefits of curbing inequality.

The AI Company Simulating the Entire Economy | Simile Co-founder & CEO, Joon Sung Park

Joon Sung Park, Harry Stebbings

Simile, founded by Joon-Sung Park alongside AI luminaries Michael Bernstein and Percy Liang, has secured $300 million in funding to build a "simulation market" that predicts human behavior by modeling irrationality rather than super-rationality. The company recently validated its synthetic panels with 85% accuracy, enabling Fortune 500 clients like CVS to test counterfactuals at a fraction of traditional market research costs while aiming to generate single-session values of $100 million. By prioritizing behavioral data over self-reported metrics, Simile distinguishes itself as the "GPU of intelligence units" designed to scale representation of collective society for enterprise decision-making.

Friedberg: NYC’s Socialist Grocery Stores Will Be Wildly Popular and a Marketing Tool for 2028

Friedberg

A speaker outlines a strategic model where a chain of discount grocery stores operates at an annual loss of $200 million to function as a subsidized vehicle for the Democratic Socialists of America. This approach leverages a social network effect to draw consumers across regions while framing the inevitable financial deficits as negligible investments relative to New York City's municipal budget. The strategy aims to accumulate significant political capital over the next 24 months, ultimately fueling a socialist wave that is projected to reshape the 2028 election cycle despite the stores' operational failures.