Latest Interviews

This Is The Holy Grail Of AI

Ian Fischer

Poetic is advancing a recursively self-improving AI system that autonomously enhances its own intelligence at a fraction of the cost and time required by major competitors like Anthropic, OpenAI, and Google. Unlike industry standards that demand hundreds of millions of dollars and months of effort to train new Large Language Models from scratch, Poetic's proprietary method accelerates these cycles significantly. This speed and efficiency advantage allows Poetic to potentially outpace rivals who remain constrained by the prohibitive expenses and long timelines of traditional retraining approaches.

Startup School 2026

Jensen Huang, Sam Altman, Alexandr Wang, Jeff Dean

On July 25th and 26th, 2026, Y Combinator will host a two-day Startup School in San Francisco for hand-selected undergraduate and graduate technical builders. The event features confirmed keynote addresses from industry leaders Jensen Huang, Sam Altman, Alexander Wang, and Jeff Dean alongside exclusive access to YC partners and alumni. Given that over 100 attendees from the previous cohort founded YC-backed companies, this limited-capacity gathering serves as a critical accelerator for the next generation of industry-defining enterprises.

Finding Opportunity in Outdated Rules

Emerging companies frequently capitalize on legal ambiguities, such as OpenAI's copyright challenges or Lyft's initial fear of criminal liability, to launch disruptive models before regulations adapt. These ventures often succeed because legal frameworks evolve post-launch to accommodate high-value consumer innovations, creating a window where outdated statutes fail to align with modern technological realities. Consequently, identifying and exploiting these gray areas becomes a strategic pathway for market entry, as the substantial value delivered to consumers eventually forces the superseding of obsolete laws.

Founder Stories: Saurav Kumar

Saurav Kumar

UIUC graduate Saurav Kumar launched Fleetline, a Y Combinator-backed venture utilizing graph algorithms to optimize truck positioning and potentially boost customer revenue by 20%. Following his recent graduation in Computer Science and Statistics, Kumar secured six-figure contracts and a $4 million seed round to drive the technology's commercial adoption. The program's environment further normalized high ambition and iterative development, enabling the company to align the founder's inherent strengths with immediate market demands.

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.

More Design Founders

The presentation argues that integrating advanced coding tools over the next decade will elevate superior design to a primary strategic asset, prompting a shift from traditional employment to founder-led product launches. By redefining the "design job of the future" as entrepreneurship, the speaker highlights how user empathy and quality standards, proven by successes like Airbnb and Stripe, can drive independent company formation. Consequently, the strategy prioritizes funding teams that embed strong design culture from the outset to capitalize on these accelerating technological capabilities.

Browser/Computer Automation

Following demonstrations by OpenAI's "Operator" and Anthropic, AI agents now possess the capability to browse the web and operate desktop applications, effectively treating all digital interfaces as programmable APIs. This technological leap, supported by emerging open-source tools, enables the full automation of human-executable workflows and is estimated to expand the addressable use cases for AI agents by a factor of ten. Industry observers predict this shift will catalyze significant innovation across applications built upon these newly accessible agent capabilities.

America’s First Civil Supersonic Jet to Break the Sound Barrier

Blake Scholl

Boom Supersonic's XB1 aircraft successfully broke the sound barrier, marking the first time an independently developed supersonic jet has achieved this critical milestone. Founder Blake Scholl led the initiative to validate the safety and operational lessons necessary for scaling future commercial supersonic passenger travel. This achievement demonstrates how pursuing ambitious technological challenges can drive breakthrough solutions while navigating the emotional extremes inherent in high-stakes aviation startups.

Jared predicts that in 2025, we’ll be able to have Zoom calls with AI

Jared

An upcoming AI product slated for 2025 will feature real-time video calls with virtual avatars, building upon the natural low-latency voice technology established in 2024. This progression aims to overcome current usability hurdles regarding high latency and inaccurate lip-syncing that currently trigger an "uncanny valley" effect in interactions. Speakers anticipate a transformative breakthrough where improved visual fidelity and reduced latency converge to create seamless, non-uncanny virtual experiences.

The best consumer companies incorporate both virality and network effect to grow organically.

Metcalfe's Law posits that a network's value scales with the square of its user base, transforming a single-user platform like WhatsApp from worthless to globally vital. This dynamic illustrates how the mathematical relationship between nodes and utility drives exponential growth for individual participants. Consequently, consumer companies achieve organic expansion by strategically combining distinct mechanisms of virality and network effects.

Gmail creator Paul Buchheit on the very first version of Google’s “Did you mean?” feature

Paul Buchheit

A former Google engineer designed the original "Did you mean" spell correction feature after analyzing query logs that revealed roughly one-third of searches contained errors. Although the initial implementation used a standard spell correction library, it frequently produced incorrect suggestions, such as recommending the fish "Turbot" for "TurboTax." These early accuracy failures highlighted the complexity of auto-correction and drove subsequent refinements to the system's reliability.

The artistry is actually in that interface between the human and the technology itself.

The speaker argues that while artificial intelligence will significantly assist with backend development and API writing, it cannot fully automate the creative interface between humans and technology where true software artistry resides. By leveraging strongly typed systems and natural language to translate requirements into specifications, AI serves as a powerful tool that augments human productivity rather than replacing it. Ultimately, the event emphasizes that defining the fundamental scope of products remains a critical human responsibility that transcends mere code generation.

You should probably still learn how to code.

A recent analysis of Large Language Models reveals that their logical development stems from processing code repositories like GitHub, providing empirical proof for the long-suspected link between programming and increased human intelligence. While the ultimate goal of computing is to eventually eliminate the need for manual coding, experts argue that learning to write code remains essential today because the cognitive challenge of programming itself enhances intellectual capacity. This emerging data transforms a historical practitioner belief into a validated conclusion, urging continued education in coding despite advancements in AI-generated software.

Focusing on data quality over quantity, Metalware built a foundation model with less compute.

Metalware, a hardware design firm without in-house PhD expertise, launched a project to build a specialized AI co-pilot by curating high-quality textbook figures and hardware data rather than relying on volume. By leveraging this refined dataset, the company successfully trained a functional model using the significantly smaller GPT-2.5 architecture instead of resource-intensive alternatives like GPT-4. This strategic pivot demonstrated that constrained tasks with superior data quality can effectively replace the need for massive computational resources while delivering practical results.

To be able to create something different, you have to be somewhat contrarian.

The event posits that the unlikable traits of founders, such as confrontational candor and an innate compulsion to fix broken systems, are essential contrarian mindsets required to disrupt the status quo. While this critical behavior often leads to conflict with authority and creates difficulties as an employee, it serves as a prerequisite for identifying operational failures and driving innovation. Ultimately, the presentation argues that the same dissatisfaction with inefficiency which marks a "shitty employee" is the defining characteristic of a successful founder.