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Tao Zhang, cofounder and CPO of Manus AI, explains how their autonomous AI agent went viral by demonstrating executable outcomes rather than chat responses, and shares their unconventional product development approach where functional prototyping precedes design and prompts replace traditional interfaces.
AI leaders Nat Friedman and Daniel Gross join Stripe's Collison brothers to discuss how we're in the 'slow' beginning of the singularity, where human bottlenecks still constrain model improvement but will soon give way to AI self-improvement, creating profound economic uncertainty and a new golden age of personal AI agents that fundamentally alter human-technology relationships.
John Collison and Emily Sans present Stripe's economic data revealing a surge in AI-driven business dynamism, debunking myths about a K-shaped recovery while showing how solopreneurs scale faster than ever and commerce shifts toward autonomous agents.
Sam Altman discusses the recent 'takeoff' moment in AI capabilities driven by coding models crossing subjective thresholds, while outlining OpenAI's evolution into a low-margin infrastructure provider and sharing untold stories from the secret eight-month period when GPT-4 existed only inside the company.
Evan Spiegel describes Snap's pivotal 2026 'crucible moment' as the company approaches one billion users and profitability while launching Specs—AR glasses that aim to shift computing from isolating screens to shared, heads-up spatial experiences after 12 years of development.
DoorDash CEO Tony Xu explains how the company won the food delivery wars by prioritizing multi-dimensional service excellence and organic retention over discounting during capital-scarce years, while analyzing how rising labor costs are forcing restaurants to choose between hospitality and manufacturing models.
ElevenLabs CEO Mati Staniszewski explains how modern voice AI models predict phonemes with contextual awareness rather than using hard-coded parameters, enabling emergent properties like accents and emotions, while discussing the company's platform strategy and the deployment gap between capable models and consumer applications.
Sundar Pichai argues that Google's invention of Transformers and early work on LaMDa positioned it for the AI era, emphasizing that vertical integration—from TPUs to strict latency budgets—enables the company to treat AI as an expansionary force driving search toward agentic workflows rather than a zero-sum threat.
Christina Cacioppo explains how Vanta turned compliance from a bureaucratic burden into a scalable security platform serving 15,000+ customers, revealing why compliance—not security—is the true forcing function for startup infrastructure and how automated monitoring transforms periodic audits into continuous readiness.
Waymo Co-CEO Dmitri Dolgov details the 20-year technical evolution from Google's self-driving moonshot to 500,000 weekly autonomous rides, explaining why full autonomy requires augmenting end-to-end AI with structured intermediate representations and a 'three teachers' training framework rather than relying solely on scaled-up vision models.
Kalshi founders Tarek Mansour and Luana Lopes Lara recount their four-year battle to launch the first CFTC-regulated prediction market in the US, culminating in a lawsuit against their own regulator to offer election contracts, and why their 'permission-first' approach ultimately enabled $10+ billion monthly volumes.
Bret Taylor explores how AI agents are shifting from polished but forgetful tools to messy, context-rich systems that leverage markdown memory and code repository structures, predicting software engineering will evolve from writing code to crafting 'harnesses' of documentation while enterprises move beyond APIs toward agent-accessible infrastructure.