Latest Interviews

Where does your interest come from?

Founders of enduring companies like OpenAI and SpaceX often launched ventures driven by personal hunches rather than initial commercial intent, a strategy that successfully attracted top global talent and significant capital. This success stems from a convergence where inherent ability intersects with unconventional interests to create unique, high-potential enterprises. Ultimately, these non-commercial origins serve as a critical catalyst for gathering the resources necessary to scale transformative projects.

The Finance Startup Bringing Agentic AI to Wall Street

Arnie Englander, Gustaf Alstromer, Chas Englander

Model ML, founded by siblings Arne and Chas, has transitioned its financial services agentic AI platform from a testing phase to rapid deployment, securing contracts with approximately 10% of the world's largest investment institutions. By replicating human cognitive access within familiar interfaces like Excel, the system automates complex data extraction and document creation for C-suite executives, shifting purchasing cycles from decade-long software licenses to annual multi-year agreements. With a global engineering presence and a strategy prioritizing high-trust in-person demos, the founders leverage their previous exits from Fat Llama and Fancy to drive a market where autonomous tasks increasingly replace traditional user interfaces.

Brand Design Tips From Linear Founder Karri Saarinen

Karri Saarinen, Aaron Epstein

Kari Saarinen outlines how early-stage startups should align their brand authenticity with their development stage, advising against mimicking mature companies like Stripe or Linear before product readiness. She critiques five specific landing pages for issues such as distracting visuals, vague messaging, and poor audience segmentation, recommending targeted copy and clearer calls to action to improve conversion. The analysis emphasizes that website design must evolve from abstract mystery for waitlists to detailed utility for enterprise sales, ensuring every visual element serves a functional purpose rather than adding noise.

How Replit Went From $10M to $100M ARR In Just 9 Months

Amjad Masad, Tom, Dave

Replit has strategically pivoted to an AI-driven mission centered on its autonomous Replit Agent, a move supported by a dedicated infrastructure of NixOS and parallel agent sampling that achieved 45% monthly growth following a targeted workforce reduction. CEO Amjad Massad describes this transition as lowering barriers to software creation, enabling product managers and designers to deploy applications directly and shifting the primary bottleneck from engineering capacity to the volume of human ideas. As the technology matures beyond model coherence into complex computer use, the company anticipates a future where generalist knowledge and idea generation replace traditional coding syntax as the critical skills for creators.

Small Teams Will Build the Future

Sam Altman

The speaker forecasts a fundamental decade-long shift in productivity driven by significantly reduced coordination costs that will empower individuals and small groups. This structural change is expected to trigger a step change in output, moving beyond incremental gains to enable single actors to accomplish substantially more work. The anticipated outcome includes higher personal satisfaction from high-impact execution and a marked improvement in the quality of goods and services exchanged globally.

Aravind Srinivas: Perplexity's Race to Build Agentic Search

Aravind Srinivas, Sami, Akshat, Ravin, Angela

Perplexity AI founder Aravind Srinivasan addresses the company's rapid infrastructure strain and recurring competitive skepticism while detailing the strategic development of "Comet," an AI-powered browser designed to function as a cognitive operating system for complex agentic tasks. Differentiating itself from incumbent tech giants bound by ad-revenue models, the 200-person team leverages AI-driven engineering workflows to iterate quickly, aiming to capture direct transaction revenue through subscriptions rather than competing on traditional search advertising. Srinivasan projects a future where Perplexity maintains market relevance by prioritizing speed and human oversight in distributed systems against inevitable large-scale replication attempts from major competitors.

The Real Moat

The startup sector faces a critical juncture where founders must balance personal branding with substantive venture building to avoid relevance loss. Success is increasingly defined by a specific archetypal profile combining elite engineering proficiency with exclusive, deep domain knowledge to secure localized competitive moats. This narrow niche of multibillion-dollar founders leverages specialized software tailored to specific audience segments to maintain long-term market dominance.

Fei-Fei Li: Spatial Intelligence is the Next Frontier in AI

Fei-Fei Li, Diana, Alex, Karl, Yashna, Annie

Dr. Fei-Fei Li, founder and CEO of World Labs, leads a team of renowned technologists to develop spatial intelligence and 3D "world models" as the essential pathway to achieving Artificial General Intelligence. The venture addresses the unique mathematical and physical complexities of reconstructing and generating the three-dimensional world, distinguishing its approach from current language-centric large language models. By combining rigorous data quality standards with a focus on fundamental, interdisciplinary research, the company aims to power next-generation applications ranging from the metaverse to advanced scientific discovery.

AI for Scientific Discovery

Sam Altman

The speaker forecasts the emergence of unimaginable super intelligence within a 10-to-20-year horizon, positioning artificial intelligence for science as the primary catalyst for this trajectory. This technological acceleration is expected to fundamentally drive long-term economic growth and human well-being by rapidly increasing the rate of new scientific discovery. Such breakthroughs, combined with reasonably effective global governance, will compound to produce incredible increases and wonders for the world's population.

Legendary Consumer VC Predicts The Future Of AI Products

Kirsten Green, Gary

The event analyzes the rapid consumer adoption of conversational AI as a platform shift driving a transition toward emotional operating systems that prioritize long-term user relationships over mere utility. Industry leaders and investors highlight critical strategies for navigating this landscape, including the necessity of product-led growth, the emergence of voice interfaces, and emerging investment opportunities in proactive health, wellness, and personal security sectors. Ultimately, the discussion outlines a future where successful startups leverage generative AI's continuous learning capabilities to build specialized, category-defining experiences rather than relying on generic chat interfaces.

Satya Nadella: Microsoft's AI Bets, Hyperscaling, Quantum Computing Breakthroughs

Satya Nadella

Satya Nadella frames the current era as a fourth platform shift driven by AI, cloud infrastructure, and supercomputers, predicting a transition where software engineers evolve into architects managing autonomous agents. He identifies change management as the primary deployment barrier and outlines a strategy where Microsoft utilizes forward deployment engineers to help organizations restructure workflows for "over-constrained" problems in sectors like healthcare and education. Looking ahead, Nadella emphasizes that future growth depends on resolving energy constraints, establishing trust, and developing first-class systems for memory and tool use to maximize social surplus.

Andrej Karpathy on why we still need humans in the loop

Andrej Karpathy

Speakers emphasize the strategic value of GUIs for efficient system auditing while cautioning against the uncontrolled deployment of AI agents that generate complex code outputs. Despite rapid generation capabilities, the discussion identifies human developers as the primary bottleneck, requiring rigorous personal verification of all AI contributions to ensure security and functionality. The analysis concludes that immediate repository integration is insufficient without a strict quality assurance process that maintains human oversight over the entire workflow.

Sam Altman: The Future of OpenAI, ChatGPT's Origins, and Building AI Hardware

Sam Altman

OpenAI CEO Sam Altman projects that superintelligence will arrive within two decades while declaring the current era the optimal moment to launch companies due to the convergence of reasoning models, falling costs, and new hardware. He outlines a strategy where OpenAI serves as a platform for third-party innovation rather than building all applications, emphasizing the imminent release of powerful open-source models and the integration of AI into robotics and energy infrastructure. Altman further advises founders to prioritize velocity and unique concepts over established pedigrees, warning that the path to success requires immense resilience against skepticism while pursuing radical technological abundance.

Alexandr Wang: Building Scale AI, Transforming Work With Agents & Competing With China

Alexandr Wang, Jared

Meta has committed to investing over $14 billion in Scale AI, valuing the company at $29 billion while appointing Alexander Wang to lead its new AI superintelligence lab. Under Wang's direction, Scale is pivoting from its origins in data labeling to building agentic workflows for enterprise and government sectors, leveraging proprietary data and specialized fine-tuned models to differentiate in a fragmented market. The partnership aims to accelerate scientific breakthroughs and develop military applications like the Thunderforge system, positioning the company to manage a future economy where human operators oversee swarms of autonomous AI agents.

Cursor CEO: Going Beyond Code, Superintelligent AI Agents, And Why Taste Still Matters

Michael Truell, Garry, Mark Mandelbaum, Chris Banes, Francesc Campoy Flores, Brian Dorsey Kiselman

AnySphere, the creator of the Cursor IDE, achieved a $9 billion valuation and $100 million in ARR within 20 months by processing over half a billion daily AI model calls and automating roughly half of current code production. Founder Michael Trull outlines a strategic shift from productivity aids to autonomous agents that allow non-developers to define software logic while addressing technical hurdles like context window limits and the need for continuous organizational learning. The company's long-term vision aims to transform software engineering into a paradigm where humans act as logic designers and the distribution feedback loop serves as the primary competitive moat against traditional coding methods.