Latest Interviews

Will AI Make Markets Less Efficient?

Osman Ali, Alison Nathan, George Lee

Goldman Sachs' Global Co-Head of Quantitative Investment Strategies, Osman Ali, discusses how his team leverages AI and machine learning to analyze market sentiment across 15,000 stocks daily, capturing the fact that over half of recent equity returns are now driven by themes rather than fundamentals. Ali explains that while advanced language models enhance market efficiency, their widespread adoption creates new alpha opportunities through crowding effects and predictable herd behavior, which the firm actively models to exploit. This strategy relies on a hybrid approach combining proprietary data, custom technology, and human experience to navigate a zero-sum game where increasing market complexity continuously generates fresh sources of value.

AI That Designs Its Own Chips: Ricursive's Anna Goldie and Azalia Mirhoseini

Anna Goldie, Azalia Mirhoseini

Founded by former leaders from Google Brain, Anthropic, and DeepMind, Recursive Intelligence has deployed its AlphaChip technology to optimize billions of transistors for Google's TPU and Axion lines while adopting by MediaTek. The company currently accelerates chip design by running static timing analysis 1,000 times faster than commercial tools, enabling AI agents to generate curved, organic layouts that reduce wire lengths and cut annual design cycles from months to days. Looking ahead, Recursive plans to democratize custom silicon through a platform model that delivers fabrication-ready layouts without in-house teams, ultimately aiming to vertically integrate design and fabrication into a self-reinforcing loop for frontier AI systems.

Do plants feel pain? | The Economist

Michael Pollan, Alok Jha

Biologists Michael Levin and other experts presented evidence that non-neural mechanisms like bioelectric fields enable information processing in organisms without centralized brains, as demonstrated by planaria worm regeneration and conditioned *Mimosa pudica* responses. The event detailed documented plant capabilities including visual mimicry, auditory toxin release, and the distinction between environmental sentience and human-style consciousness. While debate persists regarding whether immobile flora can perceive pain, the consensus among interviewed scientists suggests that plant intelligence is fundamentally an adaptive problem-solving tool rather than a basis for moral objection to consumption.

Inside the Rise of Autonomous AI Hackers: XBOW's Oege de Moor

Oege de Moor

The presentation argues that the cybersecurity arms race has shifted to autonomous AI attacks, exemplified by an AI agent named XBO that recently achieved global dominance on HackerOne by discovering critical Microsoft Bing vulnerabilities through black-box testing. Because current defensive tools often fail to verify exploitability in live environments, the speaker urges organizations to immediately integrate autonomous AI into their workflows to counter negative exploit velocity before open-weight models close the capability gap within six to nine months. Ultimately, the event posits that future security success depends entirely on adopting AI-driven offensive and defensive systems rather than relying on traditional human-only methods.

Why the Brain Computes 1,000,000x More Efficiently Than A GPU: Unconventional AI's Naveen Rao

Naveen Rao

Unconventional AI CEO Navin Rao is deploying a prototype that replaces traditional von Neumann architectures with nonlinear dynamical systems to overcome the impending energy saturation of current AI infrastructure. By leveraging Kuramoto synchronization models, the startup achieved functional generative capabilities in six months while demonstrating energy efficiency comparable to biological neural networks. This physics-based approach aims to bypass the thermodynamic limits of digital lithography, offering a viable pathway to artificial general intelligence within strict global power constraints.

Starcloud's Philip Johnston: Why the Cheapest Compute Will Be in Space

Philip Johnston

StarCloud CEO Philip Johnston validated the technical feasibility of space-based high-performance computing through the successful "StarCloud 1" mission, which demonstrated thermal management and radiation tolerance while executing AI inference tasks. The company has filed an FCC application for an 88,000-satellite constellation capable of delivering 20 gigawatts of compute power with sub-50-millisecond latency, targeting a $100 billion capital expenditure that becomes economically viable once launch costs drop below $500 per kilogram. While current operations focus on inference workloads, the roadmap envisions future large-scale training structures that could catalyze a transition toward a Kardashev Type 2 civilization within decades.

A Conversation with Tom Brady & Shaquille O'Neal | Global Conference 2026

Tom Brady, Shaquille O'Neal, Jim Gray, Michael Ferro, Jamie Salter, Mike Milken

Hosted by Jim Lampley to honor Mike Milken, a panel featuring Tom Brady and Shaquille O'Neal alongside business partners Jamie Salter and Michael Farrow explored the critical necessity of transitioning from sports to entrepreneurship. The athletes emphasized that enduring success requires obsessive preparation, resilience in the face of failure, and strategic partnerships that protect a legacy while addressing health and family values. Their dialogue extended to specific industry insights, including Brady's ownership strategies for the Las Vegas Raiders and O'Neal's championship predictions for the Spurs, all framed within the shared mission of the upcoming Hall of Excellence initiative.

Why Data Is the Real AI Bottleneck: Flapping Airplanes' Ben and Asher Spector

Ben, Asher Spector

Launched three months ago, Flapping Airplanes is an AI lab founded by Ben, Asher, and Thiel Fellow Aidan Smith that targets data-scarce domains like robotics and scientific discovery. The company differentiates itself through a system-level approach that builds custom hardware-abstraction layers to achieve theoretical 1,000x data efficiency, bypassing the limitations of standard frameworks like PyTorch. This strategy aims to democratize access to advanced AI by overcoming the escalating costs of data acquisition, prioritizing the recruitment of unconventional minds to drive paradigm shifts in system co-design.

ElevenLabs' Mati Staniszewski: How Voice Becomes the Interface for AI

Mati Staniszewski, Andrew Reed, Alfred Fuller, Gabriel Sanchez, Konstantin

Established in 2022 by high-school friends Gabriel Sanchez and Piotr to address monotone localization in Poland, Eleven Labs has rapidly scaled to generate over $400 million in revenue with a flat, title-less organization of 400 remote employees. The company distinguishes itself by prioritizing immediate monetization and emotional nuance in audio synthesis, evolving its technology from text-to-speech to complex voice agents deployed by governments, enterprises, and educational platforms. With a roadmap focused on emotional intelligence and the integration of audio as the primary interface for robotics, the firm maintains defensibility through proprietary data and a vast ecosystem of user-contributed voices.

The $100 Billion Promise: How NASA is Returning to The Moon | Jared Isaacman on The a16z Show

Jared Isaacman, Morgan Brennan

NASA Administrator Jared Isaacman has outlined an aggressive strategy to secure a permanent lunar base by the end of the current presidential term, aiming to compress launch cycles from years to months through budget reallocation and workforce restructuring. The plan prioritizes in-housing core competencies like Mission Control while leveraging commercial partners SpaceX and Blue Origin for iterative risk reduction ahead of 2028 crewed missions. This approach reframes lunar exploration as a national security imperative that serves as a critical proving ground for future nuclear-powered operations on Mars and Europa.

Harshil Mathur: AI Is Compressing Every Moat

Harshil Mathur, Jon Xu

Founded by Harshil Mathur in 2015, Razorpay became the first Indian Y Combinator company to pivot from a failed educational focus to a payment infrastructure provider for startups after navigating a twelve-month regulatory gestation period. The firm secured a competitive moat by rejecting early global acquisition offers and becoming the first gateway to support UPI, subsequently processing over $180 billion in gross merchandise value while maintaining capital efficiency that inadvertently generated profits. Today, Mathur continues to lead the company through a strategic reinvention using AI, emphasizing that founder-led conviction in long-term problem-solving remains essential despite advancements in software development speed.

A Conversation with Citadel’s Ken Griffin | Global Conference 2026

Ken Griffin, Sara Eisen

Ken Griffin characterizes the Middle East conflict as a severe humanitarian crisis that threatens to trigger a global recession within six to twelve months, though he maintains that U.S. energy independence from fracking insulates the American economy from immediate oil shocks. He details a shifting political landscape where rising extremism and progressive policies in Chicago and New York drive a corporate exodus toward business-friendly states like Florida, where Citadel is doubling down on its operations. Looking ahead, Griffin emphasizes education as a national emergency to combat inflation and workforce displacement, advocating for meritocratic reforms and the integration of AI to create new jobs while preserving the skills of older workers.

Building Blackstone, Backing Costco, and Working with Munger | Tony James on The a16z Show

Tony James, Munger, David Haber, Jim Sinegal, Steve Schwarzman

James transformed DLJ from a niche player into a market leader with $14 billion in sales, subsequently steering Blackstone to nearly $1 trillion in assets by cultivating a team-based culture and scalable platform. His strategic investments in entities like Costco and his tenure alongside Charlie Munger underscore a philosophy rooted in flawless execution and long-term value creation. Looking forward, James advocates for structural shifts in private credit and fund models while championing an HBCU initiative designed to leverage private equity capabilities for broader societal impact.

Inference Chips for Agent Workflows

Current AI inference hardware fails to support agentic workflows, which rely on complex loops and tool calling, resulting in low GPU utilization and a critical market gap for specialized silicon. Strategic acquisitions by NVIDIA and innovations like Google's TPU v7 highlight the industry's urgent recognition that successful agentic AI requires native features for fast context switching, speculative decoding, and persistent memory caching across execution graphs. To address this, the speaker is actively seeking collaborators with deep expertise in both chip architecture and agent execution flows to develop the necessary compiler and hardware optimizations for this emerging paradigm.

Stanford CS153 Frontier Systems | Andreas Blattmann from Black Forest Labs on Visual Intelligence

Andreas Blattmann, Anjney Midha

Black Forest Labs, a Freiburg-based team of former Stability AI researchers, has scaled a 25-person operation to a $3 billion valuation by bootstrapping the Flux family of multimodal generative models. The company distinguishes itself through an open-weight commercial strategy and a strict adherence to EU AI Act compliance, maintaining identical safety guardrails for all partners including Meta and XAI. Looking forward, the organization is shifting its research focus from image synthesis to physical AI and robotics, aiming to validate model intelligence through real-world causal interactions rather than subjective aesthetic metrics.