Latest Interviews

Riding the AI Wave

Anshul Sehgal, Chris Hussey

The April 30 FOMC meeting revealed a divided Federal Reserve committee that shifted from expectations of a near-term rate cut to a non-committal stance, a position reinforced by the incoming appointment of hawkish member Kevin Warsh. While private sector leverage has decreased since the Great Financial Crisis, concerns regarding public sector debt sustainability and elevated term premiums persist alongside a robust equity rally driven by hyperscalers and artificial intelligence. Investment strategists consequently maintain a bullish but cautious 7/10 allocation to technology, avoiding fixed income while rotating into energy and defense to hedge against potential consumer drawdowns expected in the mid-year "air pocket."

Recursion Is The Next Scaling Law In AI

Ankit Gupta, Francois Chaubard

Two 2025 research initiatives, Hierarchical Reasoning Models (HRM) and Tiny Recursive Models (TRM), challenge standard scaling laws by utilizing inference-time recursion to achieve state-of-the-art reasoning with drastically fewer parameters. HRM reaches 27 million parameters using a three-level weighted hierarchy, while the simplified TRM distills the architecture to just 7 million parameters yet achieves 87% accuracy on ARC-Prize benchmarks by treating recurrence as a dynamic latent memory tape. These systems overcome historical RNN limitations through Deep Equilibrium Models and latent recursion, offering a pathway to efficient, deep reasoning that diverges from traditional Chain-of-Thought constraints.

Figure's First Full HQ Tour: From the Lab to the Factory Floor

Brett Adcock, Molly O'Shea, Moritz

Figure AI is a Bay Area-based pure-play manufacturer with a 500-person engineering workforce deploying its flagship Figure 3 humanoid robot, which operates autonomously using the locally running Helix AI policy. The company has achieved record production output at its "Baku" facility while reducing unit costs by 90% compared to previous models, enabling deployments in settings ranging from the White House to BMW automotive assembly lines. Looking ahead, Figure aims to commercialize a lease-based home model and advance toward its "iPhone moment" with the upcoming Figure 4, which targets radical improvements in cost and usability while pursuing physical interaction-based AGI.

Stanford CS153 Frontier Systems | Anjney Midha from AMP PBC on Frontier Systems

Anjney Midha, Mike

Instructor Anj Pransanjane guides a cohort of roughly 500 in-person and thousands of remote students through a course framing the current AI era as a "great transition" driven by $1.2 trillion in projected compute investments. The curriculum details shifting industry bottlenecks, such as the rising costs of H100 GPUs and the strategic importance of verifiable context, while urging participants to build asymmetric advantages in non-scalable personal niches. Ultimately, the program challenges students to identify the necessary standards and institutions to transform compute from a monopolized resource into a standardized commodity.

Startups That Sell to the Biggest Companies in the World

Over the past three years, YC-backed startups have secured multi-million dollar deals with Fortune 10 enterprises in their first year, reversing traditional market barriers through AI-driven development velocity and strategic necessity. Coding agents now allow small teams to build nuanced products for major corporations in months, rendering the historical stealth-launch model obsolete while triggering active engagement from enterprise leadership. Consequently, the investment firm is pivoting its strategy to prioritize backing for teams capable of targeting sales deals with the world's largest companies rather than focusing on long-term feature parity.

OpenAI's Greg Brockman: Why Human Attention Is the New Bottleneck

Greg Brockman, Alfred Lin

OpenAI executives estimate they are 80% toward achieving AGI, a milestone driven by aggressive compute acquisition strategies and architectural innovations that currently enable AI to autonomously engineer software kernels. The organization is pivoting toward an enterprise and consumer model where a single AGI entity handles complex goals, urging startups to leverage agentic coding tools for massive productivity gains while navigating a landscape where human attention has become the primary bottleneck. This shift is underpinned by anticipated scientific breakthroughs in physics and biology, alongside internal reforms designed to manage the risks of autonomous agents within a future where humans oversee teams of AI rather than writing code manually.

This is AGI: Sequoia AI Ascent 2026 Keynote

Pat Grady, Sonya Huang, Konstantine Buhler

This analysis outlines a $10 trillion market opportunity driven by a paradigm shift from information distribution to autonomous computation, where AI agents are rapidly replacing cognitive labor with agentic systems capable of long-horizon execution. Founders are advised to leverage the "MAD" model—focusing on customer moats, immediate affordance, and bridging the adoption diffusion gap—to capitalize on a timeline that compresses years of work into days. The event further projects that by 2026, the convergence of these technologies will trigger a cognitive industrial revolution, fundamentally redefining human value from task execution to relationship building and strategic oversight.

Supply Chain 2.0 for Semiconductors

The 2021 semiconductor shortage and evolving CHIPS Act investments have exposed critical visibility gaps in multi-tier supply chains that legacy enterprise software cannot resolve. A new market opportunity has emerged to build specialized "Supply Chain 2.0" solutions capable of managing TSMC's advanced packaging bottlenecks, export control volatility, and the unique complexities of wafer allocation. This initiative aims to replace fragmented legacy systems with real-time risk monitoring and compliance tracking tailored specifically for the semiconductor industry.

Robotics' End Game: Nvidia's Jim Fan

Jim Fan

NVIDIA Robotics is transitioning from language-centric VLA models to World Action Models like Dream Zero, which prioritize learning physical laws through video prediction to enable zero-shot generalization. This architectural shift is supported by a new data collection strategy replacing low-efficiency teleoperation with scalable egocentric video and neural simulators, establishing a log-linear scaling law between training hours and dexterity. Looking toward 2040, Jim Phan projects the industry will achieve a "Physical Turing Test," an orchestration "Physical API" for automated fleets, and "Physical Auto-Research" where robots autonomously improve their own designs.

Anthropic Raises $45B but Falls Short on Compute & Thoma Bravo Hand Back Medallia Keys to Creditors

Jason Lemkin, Rory O'Driscoll, Harry Stebbings

The event analyzes a pivotal shift in the AI landscape where market competition is evolving from human-led selection to autonomous AI-agent vendor choices, creating a three-way oligopoly among OpenAI, Anthropic, and Google. Strategic dynamics are further complicated by regulatory friction, such as China blocking Meta's acquisition of Manus, and severe private equity distress driven by the obsolescence of legacy enterprise software. Investors are responding by consolidating venture capital portfolios around massive, infrastructure-focused bets like NVIDIA while liquidating human-centric tools like Figma and Duolingo that face existential risk from agent-driven workflows.

The $10 Trillion Bet on Humanoid Robots | Figure Founder Brett Adcock

Brett Adcock, Molly O'Shea

Founded by Archer eVTOL creator Brett Adcock, Figure AI pursues the commercialization of general-purpose humanoid robots capable of operating autonomously for extended shifts across diverse industries. Having raised nearly $2 billion with a $39 billion valuation, the company recently terminated an OpenAI partnership to maintain control over its vertically integrated hardware and AI stack, aiming to triple production by May and deploy thousands of units within the year. Despite facing technical hurdles in scaling reliability, Figure projects a market opportunity worth trillions as it transitions from prototype testing to mass commercial deployment in homes and factories.

Stock Expert: Becoming Rich Is Simple, But You Won’t Do It!

Ben Felix

PWL Capital's Ben Felix leverages decades of academic research to challenge conventional financial wisdom, arguing that long-term success relies more on behavioral discipline than technical expertise. The presentation outlines a strategy prioritizing low-cost global equity exposure while identifying ten critical mistakes, ranging from undervaluing human capital to the hidden costs of homeownership and the inefficiencies of market timing. By applying frameworks like the PERMA model to goal setting and advocating for 100% equity allocation, the session provides a comprehensive roadmap for navigating retirement planning, AI-driven economic shifts, and inevitable market volatility without emotional interference.

Bending the Cost Curve: Understanding the GLP-1 Era | Global Conference 2025

Josh Barro, Michael Ferro, Simon Johnson, Lisa Stevens

A panel of industry leaders and medical experts analyzed GLP-1 drugs as a transformative treatment that significantly improves cardiovascular health and reduces long-term healthcare costs, provided patients adhere to therapy. The discussion highlighted a critical adherence gap where global discontinuation rates reach 50%, contrasting with a UK pilot program that achieved 98% retention through AI-driven telehealth and mandatory screening. While facing challenges like high initial costs, supply chain fraud, and societal stigma, successful employer-led programs are emerging as essential mechanisms to manage access, ensure safety, and align financial incentives for sustained workforce productivity.

Dynamic Software Interfaces

Current software interfaces remain largely static and generic, yet the maturation of coding agents now empowers users to function as their own forward-deployed engineers for radical customization. To realize this future where shared primitives support wildly divergent front-end designs, the organization is calling on radical thinkers to redefine the software delivery stack and determine whether source code must replace packaged binaries. This initiative seeks to resolve critical architectural questions regarding how user-controlled agents can safely modify both visual elements and underlying middleware to match specific professional needs.

YC Paper Club

YC is launching the "Paper Club," a community initiative for researchers, engineers, and founders to navigate the rapid pace of AI development through small, biweekly gatherings at its Mountain View office. The program focuses on selecting under 100 participants, specifically targeting builders who implement papers and researchers studying production failures, to discuss new research presentations followed by private dinners. Applications are currently open for the inaugural cohort, with the first session scheduled for May 20th.