Latest Interviews
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Clear all filters- All-In Podcast31 min
Palo Alto Networks CEO: "AI Found 5 Years of Bugs in 6 Weeks"
Nikesh Arora, Chamath, Jason, Friedberg, Sarah, Dave, Shamad, Takeda, Jeff Weiner, Bill Hackman
Palo Alto Networks CEO Nikesh Arora celebrates an eight-year tenure marked by a $17 billion to $238 billion market capitalization surge while projecting a potential path to a $1 trillion valuation. Arora details how the company's AI system "Mythos" identified code vulnerabilities in six weeks that would normally take years, signaling a rapid industry shift where analytical SaaS becomes obsolete and infrastructure demand surges tenfold. Looking forward, the organization is pivoting its acquisition strategy toward high-margin operational efficiency and predicting that AI agents will replace traditional user interfaces and legacy software within five years.
- Y Combinator36 min
How Replit Went From $10M to $100M ARR In Just 9 Months
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.
- Y Combinator30 min
How To Design Better AI Apps
Pete Kuhman argues that most current AI software applications are merely legacy interfaces retrofitted with basic chat capabilities rather than being re-engineered as true "action-oriented" agents. He proposes a shift where users can customize or auto-generate system prompts to transform AI from a generic text generator into a tool that executes complex, multi-step workflows across different software environments. Supported by Y Combinator's internal implementation of such agents, this paradigm aims to replace manual prompt engineering with personalized, autonomous systems that handle routine cognitive tasks.