Apple’s Big Reveals, OpenAI’s Multi-Step Models, and Firefly Does Video

Scott Kupor helped build a16z from three people into a firm with hundreds of employees. Now, as Director of the U.S. Office of Personnel Management, he’s applying some of the same lessons about talent, incentives, and organizational design to a workforce of roughly two million federal employees. Scott joins Founders host David Senra to tell the story of a16z’s earliest days, from joining Marc Andreessen and Ben Horowitz during the 2008 financial crisis to borrowing Michael Ovitz’s CAA model to build a venture firm around specialized networks and services for founders. He explains why a16z chose to market itself when venture firms traditionally didn’t, how early wins like Skype accelerated the firm’s growth, and why it eventually reorganized around specialized investing teams. Then they turn to Scott’s move into government. He lays out his effort to build a more merit-based federal workforce, attract younger technical talent, and create what he calls “permissioned risk” so government employees can actually try new things. That includes everything from changing how performance and promotions work to replacing a retirement process that still relied on hundreds of millions of pieces of paper stored in an underground Pennsylvania mine.

Health advice has become an endless stream of supplements, diets, wearables, and biohacks. Which interventions are actually worth your time? Truemed CEO Justin Mares argues that most people should ignore the extremes and focus on a few fundamentals: better food, movement, sleep, and reducing harmful exposures. Justin joins a16z General Partner Daisy Wolf to walk through his own approach to health, from what he eats and how he exercises to supplements, blood tests, sauna, sleep, and the changes he’s made to his home. They also discuss the larger problem behind Truemed: while chronic disease drives the vast majority of U.S. healthcare spending, relatively little goes toward prevention. Justin explains how Truemed is trying to change that by making it easier for eligible consumers to use tax-free HSA and FSA dollars on qualified lifestyle interventions.

What actually matters if you want to stay healthy as you age? Dr. Mark Hyman argues it isn’t the most extreme longevity intervention. It’s the small investments you make every day in strength, nutrition, sleep, and stress. Mark joins a16z Partner Daisy Wolf to walk through what he actually does, from meditation and strength training to protein, supplements, sleep, sauna, cold plunges, and the occasional ice cream. He explains why preserving muscle becomes increasingly important with age and how he uses testing to understand what’s happening inside his body. They also discuss the idea behind Function Health: combining blood tests, imaging, wearables, medical records, and eventually AI to move healthcare from treating disease toward understanding and preventing it earlier.

What makes a startup worth acquiring when software has never been easier to build? Salesforce’s John Somorjai says the answer goes well beyond technology: the best acquisitions can accelerate a product roadmap, bring in exceptional talent, and put a startup in front of 15,000 Salesforce sales reps almost overnight. John joins a16z General Partner Alex Immerman to unpack the thinking behind nearly $100 billion in acquisitions during his tenure, from Slack and MuleSoft to a new generation of AI-native companies. They discuss Salesforce’s build-versus-buy framework, why outcome-based pricing is replacing seats in parts of enterprise software, and what founders should consider when deciding whether to sell. John also shares what can kill a deal during diligence, why he thinks parts of today’s venture market are overvalued, and how Salesforce Ventures is expanding from enterprise software into frontier AI and robotics.

AI is moving finance from reconciling what happened last month to helping decide what the business should do next. Figma CFO Praveer Melwani argues that the best finance teams are becoming builders themselves, automating repetitive work so they can spend more time understanding customers, running experiments, and shaping strategy. Praveer joins a16z’s Seema Amble and Ivan Makarov to share what that shift looks like inside Figma, from collections and expense analysis to M&A diligence, where the corp dev team now uses AI to prototype products and simulate how Figma leaders might challenge an investment memo. They discuss why AI “slop” is a real risk, how Figma decides what to build versus buy, and why successful internal experiments eventually need a centralized systems layer to turn one-off agents into reliable infrastructure. They also get into what this means for hiring the next generation of finance leaders. Praveer’s bar isn’t simply whether someone can use AI. It’s whether they can understand the business, interrogate the output, communicate clearly, and use automation without outsourcing their thinking.