Latest Interviews

Cracks in Private Credit

Howard Marks, Michael Arougheti, Amanda Lynam, Allison Nathan, Michael Arrighetti

After expanding to nearly $2 trillion in assets, the private credit market faces liquidity scrutiny driven by redemption requests against non-traded BDCs, though institutional capital remains insulated by lock-up structures. While exposure to software and AI sectors has raised concerns about potential defaults, experts like Howard Marks argue that senior lenders' first-lien positions and diversified portfolios remain resilient against systemic failure. Looking ahead, industry leaders predict a necessary credit cycle correction that will reallocate capital toward direct lending and opportunistic credit strategies, ultimately fostering a more circumspect investment environment.

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.

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.

SaaS Challengers

AI coding tools have slashed software production costs by up to 100 times, dismantling the legacy code moats that once protected incumbent SaaS providers from competition. While investors have slashed billions from established market valuations, the analysis outlines four disruptive strategies for startups to target massive, untapped sectors like chip design and ERP systems. This shift marks a generational transition where new entrants can replace decades-old codebases of millions of lines with integrated, AI-native alternatives.

Industrial Capabilities in Space

Adi Oltjan

StarCloud co-founder Adi Oltjan outlines a strategy to build space-based data centers by extracting lunar raw materials like silicon, aluminum, iron, and titanium. The company plans to achieve superior efficiency through electrolysis and 3D printing technologies that process molten regolith without Earth's gravity constraints. Y Combinator is currently soliciting applications from founders developing similar industrial capabilities in the Moon and deep space sectors.

Hardware Supply Chain

The firm is accelerating investment in US hardware startups across medical devices, robotics, and space sectors to build a comprehensive stack for rapid iteration. This strategy directly addresses the significant speed disparity between US production cycles, which take several weeks, and the one-day turnaround available in Shenzhen. By prioritizing companies that tightly integrate design, manufacturing, and logistics, the initiative aims to close the competitive gap with early players like HLabs and Prototyping IO.

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."

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.

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.

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.

Electronics in Space

Philip Johnston

StarCloud co-founder Philip Johnston is addressing the surge in space launch capacity from companies like SpaceX and Astrospace by developing orbital data centers optimized for inference workloads. Y Combinator is currently recruiting chip designers with backgrounds at SpaceX and NVIDIA to create specialized processors that meet critical requirements for reduced mass, thermal efficiency, and radiation hardening. This initiative aims to capture the urgent market demand for computing resources that can operate effectively in the harsh space environment.

How Warsh Could Shape Fed Policy

Kevin Warsh, Rob Kaplan, Alison Nathan

Following the Justice Department's decision to drop its investigation of Jerome Powell, the Trump administration expects Kevin Warsh to be confirmed as the next Fed Chair by June. Warsh, a former "lieutenant" to Ben Bernanke who views quantitative easing strictly as an emergency tool, plans to collaborate with Treasury Secretary Bessent to manage the balance sheet while prioritizing a reduction in the Federal Reserve's communication burden through the potential elimination of the dot plot. This strategy aims to navigate sticky inflation and geopolitical uncertainties that have pushed market rate cut expectations into 2027, requiring Warsh to build consensus among diverse FOMC members to secure seven votes for any policy shift.

The viral myth that made you think your job was safe

Rob Wiblin

A widely circulated report falsely attributed to MIT, which claimed a 95% failure rate for generative AI pilots, is exposed as a commercially motivated study authored by four developers with undisclosed financial stakes in competing AI frameworks. The analysis reveals that the original data actually indicates a 25% success rate for custom tools, attributing pilot terminations to organizational resistance rather than technical limitations while relying on an unpeer-reviewed methodology based on a small, non-transparent sample. This narrative shift challenges the prevailing skepticism surrounding enterprise AI by highlighting the report's conflict of interest and the statistical instability of its primary failure metric.