Latest Interviews

The Line Between Software and Service

Max Junestrand

Legal technology leaders are evolving from software providers into strategic partners to help large firms navigate the blurring lines between software and service driven by rapid AI advancements. To support this transition, the organization has executed aggressive headcount scaling while intentionally preserving its corporate culture and operational velocity. This dual focus ensures vendors can deliver the accelerated responses required to manage the complex shifts in the modern legal technology stack.

Billion-Dollar Unpopular Startup Ideas

Garry, Harj, Jared, Diana

Amidst a saturated AI landscape, successful founders are shifting focus from greenfield ideas to contrarian strategies that leverage first-principles thinking and navigate regulatory gray areas to outmaneuver crowded verticals. This approach is exemplified by companies like GigaML, Campfire, and Flock Safety, which defy conventional venture capital metrics by replacing human-intensive services with autonomous AI agents, building full-stack enterprise suites, and pivoting hardware models toward high-impact public safety markets. Ultimately, achieving outlier success requires ignoring market noise and consensus to solve non-obvious human needs, a methodology that has historically turned skeptically received concepts into billion-dollar valuations.

What Everyone Is Getting Wrong About AI And Jobs

Garry Tan

This analysis synthesizes historical precedents like containerization and cloud computing to refute extreme predictions of mass unemployment, demonstrating instead that AI efficiency triggers Jevons' Paradox by lowering costs and exploding demand for services. Prominent figures such as Andrej Karpathy and Aaron Levy argue that while AI automates rote tasks, it predominantly refills labor markets by elevating human roles to supervisory positions and addressing pent-up demand in sectors like healthcare and law. Consequently, founders and investors are urged to actively build solutions that leverage this latent demand rather than waiting for policy interventions or succumbing to fatalistic views on economic transformation.

The Shutdown’s Economic Impact

Alec Phillips, Alison Nathan

A partisan role reversal has precipitated a broad federal government shutdown as Democrats withhold support for clean spending bills to demand the extension of ACA health insurance subsidies, a move that polling suggests is driving voter blame toward Republicans. The crisis faces a critical resolution pressure point on October 15 when active-duty military personnel miss a pay cycle, a deadline that historically compels congressional action to avoid widespread economic disruption. While the shutdown projects to reduce Q4 GDP by approximately 0.3 percentage points and delay key economic data releases, market analysts and the Federal Reserve anticipate the stalemate will resolve quickly through a targeted fiscal compromise.

Oege De Moor (XBOW) & Apoorv Agrawal (Altimeter): Hackers with GPUs Offensive Security in the AI Era

Oege De Moor, Apoorv Agrawal, Uhey Dhimur

Altimeter Capital-backed startup Expo has deployed an autonomous AI agent that ranks as the world's top ethical hacker, identifying over 1,200 vulnerabilities including critical zero-days in enterprise giants like Palo Alto Networks and Salesforce within a single week. This superhuman capability forces a strategic industry shift toward AI-driven defense to combat a "skill shortage" in malicious actors that has enabled nation-states to automate attacks with unprecedented speed. While the market anticipates a major cyber incident within twelve months due to rising AI-generated code risks, human security roles are expected to evolve from technical execution to the strategic orchestration of these autonomous systems.

AI won’t make coding obsolete. It will make it universal.

The speaker challenges the narrative that AI automation makes learning coding obsolete by citing historical precedents where easier tooling, such as the shift from punch cards to high-level languages, ultimately expanded the number of programmers. Arguing that accessibility drives adoption rather than replacement, the presentation advocates for cross-functional upskilling among leaders like CFOs and recruiters to enhance their specific job functions. This approach anticipates a future where broad coding literacy empowers everyone to code, resulting in significant productivity gains across all organizational roles.

Will Crichton: Rust for Everyone!

Will Crichton

Will Creighton's research at the Cognitive Engineering Lab applies human-centered design and formal cognitive theories to address fundamental learning and debugging barriers in Rust. By developing three core tools—Aquascope for visualizing ownership permissions, Argus for interactive trait solver trees, and Flow History for precise program slicing—the team achieved a 9-point score increase in learner assessments and a threefold speedup in error localization during user studies. Future efforts are now directed toward resolving async/await complexities and promoting extensible IDE frameworks like CodeMirror to further advance a scientific approach to programming language design.

The Fed Cut Playbook

Josh Schiffrin, Mike Washington

Josh Schifrin identifies weaker-than-expected non-farm payroll revisions as the dominant economic signal, creating a high probability for a 25 basis point Federal Reserve rate cut in September while ruling out a larger 50 basis point move. Although the US dollar faces structural headwinds from lower short-term rates and fiscal deficits, Schifrin expects equities to continue rising driven by AI catalysts and economic resilience, recommending a strategic long position in five-year Treasuries to capitalize on anticipated easing and hedge against potential volatility. This outlook sets the stage for a critical early September payroll report to guide the Fed's data-dependent trajectory for the remainder of the year.

OpenAI's GPT-5 Flop, AI's Unlimited Market, China's Big Advantage, Rise in Socialism, Housing Crisis

Gavin Baker, Ben Shapiro, Phil Deutch, Jason Calacanis, David Sacks, Friedberg

Co-hosts Jason Calacanis and David Sacks led a full roster of guests, including Ben Shapiro and Gavin Baker, in a discussion spanning OpenAI's GPT-5 release, China's energy expansion, and U.S. tariff revenue trends that have hit $127 billion in early 2025. The panel analyzed the economic implications of artificial intelligence, with debates centering on whether productivity gains will materialize as rapidly as infrastructure investments while addressing geopolitical risks like Nvidia GPU smuggling and state-sponsored capitalism. Additionally, the hosts critiqued Apple's innovation stagnation, examined the "imperial presidency" versus administrative overreach, and concluded with a diverse lineup of summer book and television recommendations from the featured experts.

GPT-5 and Agents Breakdown – w/ OpenAI Researchers Isa Fulford & Christina Kim

Isa Fulford, Christina Kim, Erik Torenberg, Sarah Wang

OpenAI leadership and key architects Christina and Issa unveil GPT-5 as a significantly more useful frontier model that prioritizes cross-domain utility, massive coding improvements, and reduced hallucinations over isolated benchmark scores. The update integrates advanced reasoning capabilities and autonomous agent functions to lower barriers for non-technical users while shifting evaluation metrics toward real-world usage data and specialized synthetic datasets. By optimizing pricing and balancing helpfulness against sycophancy, the release aims to establish a new baseline for general intelligence that transforms complex, multi-step workflows into accessible daily tools.

AI Exchanges: AI’s Impact on Employment

Joseph Briggs, Allison Nathan, George Lee

While current U.S. corporate AI adoption hovers at 9% with higher penetration in large firms, the technology is already reshaping the labor market by increasing specialized engineering job postings by up to 50% while disproportionately displacing recent college graduates and junior roles. Although long-term forecasts suggest minimal structural unemployment due to historical technology-driven growth, rapid adoption within one to three years could trigger a 2% to 2.5% unemployment spike, whereas a gradual ten-year transition would keep impacts manageable. Strategic resilience depends on the sector's reliance on high-stakes decision-making or human interaction, yet the shift forces a fundamental challenge to traditional apprenticeship models and introduces hybrid workforce structures where managers oversee both humans and autonomous agents.

Infrastructure for Multi-Agent Systems

A new initiative invites experienced builders to address the infrastructure and development challenges of scaling AI from single-threaded loops to distributed, multi-agent workflows capable of parallel human-level judgment. Participants are tasked with solving critical pain points including high-throughput reliability, cost control, prompt engineering for parent-subagent hierarchies, and the security of untrusted context inputs. The ultimate objective is to establish the tooling necessary to make operating fleets of autonomous agents as routine and reliable as deploying standard web services or executing Spark jobs.

The First 10-person, $100B Company

Y Combinator is actively funding small, high-agency teams to replicate the capital efficiency of the early cloud computing era, leveraging new AI tools to build multi-billion dollar companies with as little as $500,000. The fund explicitly targets creating the first 10-person startup valued at $100 billion by prioritizing revenue per employee and exploiting the speed advantages smaller groups have over bloated incumbents. This strategic shift aims to redefine startup growth by proving that ambitious founders can scale rapidly with minimal personnel and overhead.

Revenge of the Meme Stocks

John Marshall, Alison Nathan

Goldman Sachs Research identifies a renewed surge in retail-driven trading activity for 30 to 50 specific stocks, characterized by aggressive out-of-the-money call option buying that currently operates at half the intensity of the 2021 peak. This trend, fueled by tax reform optimism and available retail liquidity, is projected to persist for several weeks before a waning volume pattern signals an impending decline. Institutional investors have adapted by tracking raw trade volumes rather than social sentiment to manage short-covering risks, reflecting a permanent shift where retail traders now account for the majority of single-stock options volume.

Winning the AI Race Part 5: President Trump on the AI Action Plan

President Trump, Chamath, Friedberg, Donald J. Trump, Nat, Jason Calacanis, Jacob Helberg, Doug Burgum, Howard Lutnik, Chris Wright, Lee Zeldin, Ted Cruz, David McCormick, Jensen Wong, Lisa Sue, Jeff Sprecher, Suzy Weil, Marco Rubio

The administration has secured major international trade and defense agreements with Japan, the EU, and NATO allies while establishing a universal tariff framework to pressure non-compliant nations. Domestically, the executive branch is accelerating energy dominance and AI development through the termination of the Green New Deal, the repeal of export restrictions, and the implementation of a federal standard that permits AI training on public data without creator consent. With key appointments led by David Sacks and the EPA, the government aims to achieve zero illegal border entries, trigger $17 trillion in private investment, and reclaim global manufacturing supremacy by 2026.