What Happens When Everyone Has a Health Expert in Their Pocket? | OpenAI’s Karan Singhal

Why hasn't AI transformed everyday work as quickly as coding? Town CEO Jean-Denis Greze argues the bottleneck isn't intelligence, but making AI useful to people who don't have the time or technical skills to build their own automations. Jean-Denis joins a16z General Partner Alex Rampell to share why he pivoted Town from tax software to a personal AI assistant built around email, calendars, and the workflows that run businesses. They discuss why consumer-grade experiences may win in enterprise AI, how Town discovers and automates tasks users wouldn't think to delegate, and why model neutrality and data ownership matter as AI labs increasingly compete with application companies. They also explore what happens when agents begin acting on our behalf, from managing everyday work to shopping and commerce, and why the next generation of software may need to adapt to each user rather than the other way around. Resources: Follow Alex Rampell on X: https://x.com/arampell Follow Jean-Denis Greze:

What changes when an AI mistake doesn’t just hurt a benchmark score, but affects someone’s housing or healthcare? EliseAI Head of Applied Research Mario Martone argues that deploying AI in essential industries requires a very different standard of reliability. Mario joins MTS to explain how EliseAI handles roughly 5 million phone calls a month, why LLMs aren’t the right solution for every problem, and how the team combines language models, traditional machine learning, neural networks, and internally built evaluations to decide what actually works in production. Drawing on 15 years studying theoretical physics, Mario also explains how the scientific method shapes EliseAI’s research culture, from testing new models against its own benchmarks to fine-tuning open-source models and automating increasingly complex workflows across housing and healthcare. And he makes the case that applying AI to the real world can produce problems every bit as intellectually difficult as the ones he encount

Why is booking a doctor's appointment still so difficult, and can AI finally change that? Zocdoc CEO Oliver Kharraz argues that the real problem isn't finding doctors, but connecting patients to accurate availability and making appointments bookable wherever they start their search. Oliver joins a16z General Partner Julie Yoo to discuss how Zocdoc spent nearly 20 years building the infrastructure behind online scheduling, and why it's now opening that technology to AI agents, insurers, and other platforms. They explore Zocdoc's partnership with Gemini, why patients shouldn't be locked into a single healthcare platform, and how surfacing last-minute availability can reduce appointment wait times from weeks to days. They also discuss what happens when AI becomes a new front door to healthcare and why Oliver believes the future of Zocdoc extends far beyond its own app. Resources: Follow Oliver Kharraz on LinkedIn: https://www.linkedin.com/in/kharraz Follow Julie Yoo: https://x.com/julesyo

This week, there’s a new blockbuster Elizabeth Holmes documentary out, and we’ve assembled an expert panel to discuss the movie and what Holmes means to the tech world of today. Max Read is joined by John Carreyrou, who, through his investigative reporting for The Wall Street Journal and his book “Bad Blood,” revealed the fraud at the heart of Theranos; Erin Griffith, a tech reporter who extensively covered Holmes’s trail; and Caitlin Roper, the New York Times executive producer who wrote the first-ever magazine piece about Holmes for Wired back in 2013. We end with a rundown of what else is happening in tech news this week. Panelists: Erin Griffith, a tech reporter for The New York Times. John Carreyrou, author of “Bad Blood: Secrets and Lies in a Silicon Valley Startup” and an investigative reporter for The New York Times’s business section. Caitlin Roper runs film, TV and books at The New York Times. Additional Reading: ‘You Can See Everything’ Review: The Slippery Mind of Elizabeth