Latest Interviews
Showing 16–30 of 124 transcripts.
Clear all filters- Y Combinator39 min
From Idea to $650M Exit: Lessons in Building AI Startups
Case Text, led by a founder who pivoted the company to artificial intelligence in summer 2022, was acquired by Thomson Reuters for $650 million following the successful launch of its Co-Counsel legal assistant. The speaker outlines a methodology for building reliable AI applications by combining domain expertise with granular workflow decomposition, rigorous evaluation metrics, and iterative prompt engineering to achieve near-human accuracy. Key strategic insights for scaling include adopting value-based pricing, prioritizing side-by-side human-AI pilots to build trust, and viewing proprietary data integration and evaluation frameworks as the primary sources of long-term defensibility.
- RAISE Summit23 min
Alex Ratner, CEO & Co-Founder, Snorkel AI: Data Centric AI in the Agentic Era
Alex, co-founder of Snorkel.ai, argues that specialized agentic systems require robust evaluation benchmarks composed of prompt datasets, rubrics, and verifiers to serve as functional product requirements. His company provides data operations platforms to major US banks and federal agencies while demonstrating that custom-trained models using programmatic evaluators can outperform GPT-4 on complex insurance underwriting tasks. This approach establishes high-quality data and verification logic as the foundational prerequisites for optimizing Reinforcement Learning in enterprise environments.
- a16z27 min
Software is Eating Labor
The speaker outlines a fundamental shift in the global software economy where autonomous AI agents replace human labor to capture the $13 trillion U.S. wage market, effectively transitioning SaaS from digitizing records to executing end-to-end workflows. This transformation necessitates a move away from seat-based pricing toward outcome-based models, exemplified by pilots at companies like Zendesk and startups that deploy AI to perform tasks ranging from freight negotiation to debt collection. Consequently, venture capital efforts are pivoting to identify enterprises that can fully leverage this automation to monetize vast labor markets previously inaccessible to traditional software solutions.
- Milken Institute29 min
Singapore Defence Minister & Coordinating Minister for Public Services, Chan Chun Sing | Asia Summit
Chan Chun Sing, Laura Deal Lacey
Amidst global economic stagnation and rising political fragmentation mirroring the pre-World War II era, this event examines strategies to counteract protectionism through deliberate cooperation between governments and the private sector. Singapore's leaders outline four enduring competitive advantages—long-term policy consistency, progressive rule of law, strategic partnerships, and the SkillsFuture initiative—to demonstrate how investment in human capital can maintain social cohesion. The presentation concludes with a call for industry leaders to advocate for integrated global rules and prioritize workforce upskilling, ensuring that technological progress translates into shared prosperity rather than nativist backlash.
- RAISE Summit23 min
Atindriyo Sanyal, CEO of Galileo: Making Enterprise Gen AI “Reliable”
Galileo, an AI evaluation platform founded by a former Siri architect, addresses the critical "measurement problem" plaguing generative AI by introducing a specialized observability framework designed to productionize complex RAG and multi-step agents. The company's proprietary Luna models provide sub-200ms real-time inference for dynamic guardrails and qualitative-to-quantitative error analysis, effectively solving the latency and accuracy trade-offs that typically hinder enterprise deployment. This approach enables Fortune 500 organizations to move beyond basic statistics and systematically identify nuanced failure patterns in data quality, tool execution, and security across high-stakes workflows.
- Y Combinator28 min
Michael Truell: Building Cursor At 23, Taking On GitHub Copilot & Advice To Engineering Students
Founded by MIT graduates led by Michael Truel, Cursor pivoted from failed ventures in CAD and encrypted messaging to launch a custom AI-driven code editor in late 2022 with an aggressive vision to automate the future of software development. Leveraging a strategic shift to API-based models and a product-led growth approach, the team scaled rapidly from one million users in 2023 to over 100 million in 2024, capturing approximately 80% of YC batches. This rapid adoption was driven by features emphasizing codebase awareness and speed, reinforcing the founders' long-term outlook that AI will transform the industry into a collaborative ecosystem where programming fundamentals remain critical for reviewing and editing AI-generated logic.
- Y Combinator41 min
Dylan Field: Scaling Figma and the Future of Design
Dylan Field, Evan, Charlie Fearborn, Michael
Figma, led by co-founders Dylan Field and Evan Mock, recently doubled its product ecosystem at its Config event by launching four new tools including Figma Make, which enables prompt-to-app generation to accelerate prototyping. Field emphasizes that as AI commoditizes software development, high-quality design will become the primary competitive differentiator, a shift reflected in Figma's strategy to integrate designers directly into AI research and development teams. The company continues to pivot from its origins as a browser-based design tool to a broader platform supporting seamless design-to-code workflows through acquisitions like Payload CMS and integrations with developer environments.
- Y Combinator27 min
Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery
Google DeepMind leader John Jumper presents AlphaFold 2, an AI system that revolutionizes structural biology by accurately predicting protein 3D structures to bridge the massive gap between sequenced genes and experimentally solved forms. The technology's superior accuracy, validated by a thirty-fold reduction in error rates at CASP14 and the release of over 200 million predictions, has accelerated drug discovery and enabled novel applications like re-engineered molecular syringes for targeted therapy. This shift allows experimentalists to advance the pace of biological research by 5 to 10 percent, transforming AI from a narrow computational tool into a fundamental amplifier for scientific discovery.
- Y Combinator44 min
Andrew Ng: Building Faster with AI
AI Fund accelerates startup velocity by co-founding approximately one venture monthly through direct code writing and feature definition, leveraging agentic AI workflows to address complex tasks in sectors like healthcare and legal compliance. The organization emphasizes concrete product hypotheses and agile prototyping to shift engineering bottlenecks toward product management, thereby altering standard PM-to-engineer ratios to 0.5:1 while empowering non-engineering staff with coding literacy. Strategic guidance further stresses that rapid iteration and ethical filters outweigh speculative narratives, prioritizing application-layer revenue generation and open-source accessibility over fears of existential risk or regulatory gatekeeping.
- Y Combinator35 min
François Chollet: How We Get To AGI
Recent analysis of the Abstraction Reasoning Corpus series reveals that while standard pre-training scaling fails at fluid intelligence, Test-Time Adaptation enables models to dynamically solve novel problems, though current systems still lag significantly behind human performance on the 2025 ARC-2 benchmark. To bridge this gap, the field is adopting the Kaleidoscope Hypothesis, which posits that future architectures must integrate continuous intuition with discrete programmatic reasoning to achieve true compositional generalization. This shift drives the development of endia-like meta-learners capable of synthesizing custom code and maintaining a dynamic library of abstractions, with the explicit goal of accelerating independent scientific discovery by early 2026.
- Y Combinator41 min
Satya Nadella: Microsoft's AI Bets, Hyperscaling, Quantum Computing Breakthroughs
Satya Nadella frames the current era as a fourth platform shift driven by AI, cloud infrastructure, and supercomputers, predicting a transition where software engineers evolve into architects managing autonomous agents. He identifies change management as the primary deployment barrier and outlines a strategy where Microsoft utilizes forward deployment engineers to help organizations restructure workflows for "over-constrained" problems in sectors like healthcare and education. Looking ahead, Nadella emphasizes that future growth depends on resolving energy constraints, establishing trust, and developing first-class systems for memory and tool use to maximize social surplus.
- Sequoia Capital32 min
OpenAI’s Sam Altman on Building the ‘Core AI Subscription’ for Your Life
Sam Altman, Jens Nordvigsen, DAN GALPIN, SAM SACCONE
OpenAI has evolved from a 14-person research lab into a commercial powerhouse driven by the GPT-3 API and the viral ChatGPT platform, which now serves 500 million weekly active users. Under Sam Altman's leadership, the organization prioritizes high-impact small teams and a vision of becoming a personalized AI operating system while navigating a market where startups outpace legacy enterprises in agility. The company's roadmap emphasizes the transition from text-based assistants to autonomous agents by 2025, with future infrastructure expected to facilitate seamless agent-to-agent communication and eventual robotics applications.
- Milken Institute30 min
A Conversation with Nvidia CEO Jensen Huang | Global Conference 2025
NVIDIA CEO Jensen Huang frames AI as a $100 trillion industrial revolution that creates "AI factories" to automate labor and reintegrate millions of workers into the global economy. Operating as an end-to-end infrastructure provider, the company builds massive, gigawatt-scale systems while arguing that unrestricted global chip trade is essential for establishing dominant U.S. standards. Through a culture of perpetual resilience and a focus on "Physical AI," NVIDIA aims to close the technology divide and drive GDP growth across healthcare, manufacturing, and robotics sectors.
- Sequoia Capital29 min
AI's Trillion-Dollar Opportunity: Sequoia AI Ascent 2025 Keynote
Pat Grady, Sonia, Konstantin Vargas
Sequoia Capital outlines a strategic framework for the AI opportunity, predicting that the sector will disrupt both software and services markets by shifting value from selling tools to selling outcomes. The firm emphasizes investing in companies that demonstrate durable adoption and functional data flywheels, noting that 2024 marked a transition from hype to utility in vertical applications like healthcare and law. Looking ahead, the presentation predicts the emergence of an agent economy where interconnected agents manage resources and tasks, potentially enabling a "one-person unicorn" era through new management strategies.
- a16z44 min
The Software Crisis Behind America's Infrastructure
Leila Hay, Phillip Buckendorf, Leonard J. Kosinski
ASI Co-founders Philip and retired General Leo Leo address the United States' critical software crisis by merging commercial aviation technology with Department of Defense logistics to replace fragmented legacy systems. Their strategy establishes a unified "collective logistics" framework that leverages AI-driven predictive capabilities to secure supply chains against cyber threats and geopolitical instability. By standardizing software stacks across the private and public sectors, the organization aims to rapidly modernize military infrastructure and maintain U.S. power projection capabilities by 2034.