Latest Interviews

The Robot Episode: Four Leaders on What's Coming

Dr. Péter Fankhauser, Bernt Børnich, Amanda McMaster, Jonathan Hurst, J-Cal

Leading robotics firms including Anybotics, Boston Dynamics, and Agility Robotics have collectively deployed over 1,000 specialized units globally to replace humans in hazardous industrial settings, prioritizing data sovereignty and ISO cybersecurity standards to avoid reliance on Chinese hardware. These companies are currently transitioning from pure detection to scalable autonomy through platform-based ecosystems and cost reductions, with humanoids targeting a $40,000 price point and quadrupeds enabling continuous 24-hour monitoring in extreme environments. While immediate returns focus on safety and leak prevention, the industry anticipates a hard take-off in manufacturing capabilities within a decade as foundational AI models enable complex, multi-arm manipulation without physical safety barriers.

Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil

Jerry Tworek, Rohan Anil, Sonya Huang, Pat Grady

Founded by Jerry Liu and Rohan Ramachandran, Core Automation aims to replace static Transformer models with a new class of AI systems capable of continual, test-time learning. The organization is building an automated research lab designed to overcome architectural bottlenecks by developing hardware-efficient kernels and enabling models to autonomously optimize their own code. Success for the venture is defined by the system's ability to self-improve without human intervention, effectively extending the team's operations while bypassing the diminishing returns of current scaling methods.

Why knowing the future doesn't always help predict markets | The Economist

Joshua Roberts, Rosie Blau

Elm Wealth's study compared the performance of laypeople, artificial intelligence models, and professional macro traders by simulating 15 days of trading with perfect future news on historical market data. While professionals doubled their starting capital by dynamically adjusting leverage based on confidence, average human and AI participants barely broke even or lost their entire stake due to poor bet sizing. The findings highlight that successful investing relies more on capital allocation and risk management than on superior directional prediction accuracy.

What the Surge in IPOs Means for Investors

Jay Ritter, Owen Lamont, Allison Nathan

Goldman Sachs Research reports that the U.S. IPO market reached record issuance levels in 2026 while maintaining average valuations that distinguish current activity from historical speculative bubbles. Analyst Jay Ritter and Owen Lamont offer diverging perspectives on this surge, with Ritter arguing deep capital markets can absorb new supply without overvaluation, whereas Lamont warns that a massive wave of issuance signals the early stages of a potential bubble. Both experts agree that structural shifts, including expanded private markets and industry consolidation, have permanently reduced the average annual IPO count to roughly 100, fundamentally altering the relationship between new listings and future market returns.

We Read 100 Self-Help Books So You Don't Have To.

Luisa Rodriguez, Spencer Greenberg

In a survey of 60 to 110 effective altruists and high-impact workers, Spencer Greenberg and the 80,000 Hours team found that while few suffer from clinical disorders, most experience significant psychological challenges that hinder productivity. Greenberg outlines maladaptive behaviors like constant threat monitoring and identifies strategies such as "clean fuel" motivation, the Magic Dial exercise, and acceptance-based planning to sustain long-term effectiveness. The analysis concludes that prioritizing psychological sustainability through intrinsic values and preventative self-care is a strategic necessity rather than a selfish distraction for practitioners in existential risk and related fields.

Fei-Fei Li is Solving the Hardest Problem in Robotics | World Labs with a16z

Fei-Fei Li, Martin Casado, Yunzhu Li

World Labs is acquiring Cynics to fuse its generative "Marble" spatial intelligence model with advanced robotics simulation, creating a scalable pipeline that replaces dangerous physical data collection with reliable digital environments. Led by CEO Fei-Fei Li alongside Cynics' leadership team, the merged entity will deploy this technology in semi-structured industrial settings to train multimodal "omni models" capable of counterfactual reasoning and efficient robot control. This strategic integration aims to validate a robust "real-to-sim-to-real" framework with early commercial customers before addressing the complexities of unstructured human environments.

Sam Altman: "Never a Better Time to Do a Startup"

Sam Altman, Paul Graham, Garry Tan

Sam Altman and Y Combinator highlight an exponential shift in startup capabilities where coding agents reduce development time to mere seconds while hard tech representation in the portfolio surges to 25%. The organization positions itself as a decentralizing force to prevent single-entity control of AI power, explicitly rejecting the "live action role play" mindset in favor of heretical, high-conviction building. Altman warns of safety risks regarding surveillance and model concentration but maintains that widespread founder agency and distributed innovation will ultimately prevent economic collapse or catastrophic safety incidents.

Signals & Noise: Bubble Building in the Age of AI

Ben Bowler, Arjun Goyal, Benjamin Bowler

Bank of America Global Research identifies a prevailing "bubble era" driven by reflexive feedback loops where rising prices and volatility reinforce one another across asset classes like AI, tech, and cryptocurrencies. The firm's proprietary Bubble Risk Indicator (BRI) quantifies this instability using historical price data, successfully flagging recent pullbacks in Korean equities and vulnerable sectors such as cybersecurity and semiconductors. Strategic guidance suggests investors prioritize monitoring this metric over traditional valuations to navigate an environment characterized by higher volatility, larger drawdowns, and rapid snapbacks without an immediate terminal crash.

Jon Winkelried on Lessons from Goldman Sachs and TPG’s Next Chapter

Jon Winkelried, Matt McClure, John Winkle-Reed

John Winkle-Reed, who rose from a 1981 Goldman Sachs intern to co-president before retiring in 2009, applied his leadership philosophy of active listening and decision transparency to transform TPG from a $64 billion founder-led buyout firm into a $310 billion diversified public alternative asset manager. His strategic shift from a siloed structure to a unified "one firm" orientation overcame significant internal resistance, enabling the 2022 public listing and major acquisitions like Angela Gordon in 2023. Currently serving as sole CEO since 2021, Winkle-Reed has integrated artificial intelligence as a central growth driver while steering the organization's geographic and operational evolution from a San Francisco-centric model to a global enterprise with its largest workforce in New York.

Inside the Fastest-Growing Category in AI: Scott Wu, CEO of $26B Cognition

Scott Wu, Molly O'Shea

Cognition has secured a $26 billion valuation and $500 million in revenue by deploying its autonomous AI engineer, Devon, to solve complex engineering tasks for major clients like Goldman Sachs and NASA. The company recently consolidated its operations by acquiring the 200-person Windsurf IDE team, creating a unified hybrid environment where local coding and remote cloud agents collaborate seamlessly. Founder Scott Wu emphasizes an immediate "abundance era" of software mass-creation over human obsolescence, while maintaining model neutrality and refusing integration into larger tech conglomerates as the firm prepares to demonstrate its self-driving software capabilities at the upcoming RAISE AI summit in Paris.

Advancing a Modern Regulatory Framework: SEC Chairman Paul Atkins Conversation | Global Conference

Paul Atkins, Michael Piwowar, Mike

The SEC is executing a strategic pivot from enforcement-heavy regulation to a framework prioritizing economic materiality, aiming to reverse the decline in public companies and revitalize the IPO market through simplified disclosure rules and reduced litigation barriers. Parallel efforts are establishing clear jurisdictional boundaries with the CFTC for digital assets while modernizing fund structures to enhance tax efficiency and expanding 401(k) access to private credit markets. Guided by Enforcement Director David Woodcock's focus on substantive fraud over procedural technicalities, the agency seeks to restore investor confidence and preserve the United States' competitive standing in global capital formation.

What Actually Makes A Startup Durable

Paul Graham and YC partners outline a strategic framework for navigating the AI era, emphasizing that while AI increases individual productivity by 1,000x, founders must target "hard" problems with durable moats to survive market saturation. The session advises building companies through co-founders who provide essential emotional support rather than just complementary skills, noting that human judgment remains critical for community building and navigating high-stakes pivots. Finally, students are offered over $25,000 in AI credits to neutralize geographical disadvantages, reinforcing the program's focus on rapid execution and deep market engagement over theoretical development.

Can Markets Withstand AI Risks, Fed Hikes, and Oil Shocks?

Tony Pasquariello, Josh Schiffrin, Dominic Wilson

Dominic and Josh analyze how supply shortages in AI infrastructure and geopolitical tensions in the Middle East are creating a complex investment environment driven by oil market friction and Federal Reserve policy shifts. While the S&P 500 remains near record highs, the duo warns that diverging market performance from lived economic reality, combined with intensifying inflation pressures and a move away from central bank guidance, signals potential volatility ahead. Consequently, they highlight a strategic pivot toward the long end of the yield curve and credit markets, suggesting that concentrated asset exposure is prudent as liquidity is expected to thin in the coming months.

What Big Tech Missed And How Startups Can Still Win

Alexandre LeBrun, Zuckerberg, Jan, Alex

Ami Labs is raising approximately one billion euros in seed funding to develop foundational world models that train on sensory data rather than text, addressing the limitations of current large language models for robotics applications. Co-founded by Alex K. and Yann LeCun following their shared history at Meta and various startups, the Paris-based company aims to build general-purpose robots capable of operating safely in open environments by solving the compute bottlenecks and latency issues inherent in existing vision-language-action architectures. While the venture tackles the high capital demands of securing thousands of GPUs and top-tier talent, it operates under a strict strategic constraint where failure to deliver visible progress within two years could render the company unsustainable due to the intense external expectations created by the massive funding round.

Why Physical AI Is the Next Platform Shift

Eric Landau, Francois Chollet

Anchored, founded by former quantitative trader Eric Landau, constructs the data layer for physical AI by managing petabytes of multimodal data to power robotics and autonomous systems. After pivoting from healthcare vision to broader industrial applications, the company established a production-ready facility in the Bay Area and refined its sales culture through iterative hiring challenges. With the post-ChatGPT market accelerating demand for specialized physical AI infrastructure, Anchored now leads a crowded sector by offering scalable data collection that moves clients from proof-of-concept to enterprise production.