Marketplace Tech

Paresh Dave, senior writer at Wired who covers tech, AI and space business. He breaks down SpaceX folding xAI into its orbit of companies. He talks Nvidia and OpenAI's shifting funding dance. He also covers the rocky U.S. TikTok relaunch and its infrastructure and data changes.

Eric Goldman, law professor and co-director of the High Tech Law Institute at Santa Clara University, who studies tech law and online platforms. He discusses a high-profile Los Angeles trial claiming platforms were designed to be addictive. He outlines linked federal and state lawsuits, how legal pressure could reshape internet design, and the wider implications for games and AI makers.

Nicole Nguyen, personal tech columnist at The Wall Street Journal who tests consumer apps and devices. She compares AI fitness tools like Fitbit, Peloton and Apple Workout Buddy. She discusses cost and hardware trade-offs. She warns about hallucinations and glitches. She explores motivation, trainer impact, and what to watch next in form correction and AI meal tracking.

Christopher Mims, Wall Street Journal technology columnist and author of How to AI, offers practical advice on using AI at work. He explains treating AI like a reliable helper for routine tasks. He shares real-world uses from ad creation to brainstorming. He also discusses the broader, often invisible role of AI in business and its short-term labor impacts.

Christopher Mims, Wall Street Journal tech columnist and author of How to AI, offers practical guidance for using AI wisely. He discusses AI as an assistant, why specialists get the most value, the need for human oversight, everyday mundane uses like summaries and calendar automation, and the rise of always-on ambient chatbots.

David A. Kirsch, historian and management professor at the University of Maryland and co-author of Bubbles and Crashes, joins to compare AI to past tech booms. He outlines a four-factor bubble model and explains why technological uncertainty, infrastructure limits, investor makeup, and powerful narratives matter. He also considers how AI’s AGI talk and market structure stack up against historical patterns.

Colin Campbell, CTO at Redwood Materials, leads R&D and engineering for EV battery recycling and reused-battery grid projects. He tours the lab and explains how recycled EV packs can power off-grid AI data centers. He discusses a Nevada 60 MWh reused-battery grid, why AI favors fast battery-plus-renewables deployments, and plans for gigawatt-scale manufacturing.

Paul Vixie, an Internet engineer who helped build the Palo Alto Internet Exchange and later led AWS Security work, tours Menlo Park and recounts the dot‑com fiber rush. He describes the frantic buildout of fiber, the bankruptcies that followed, and how dormant infrastructure later powered search, social, streaming, crypto, and AI. Short history and big tech consequences.

Eddie Espinoza, Customer Operations Manager at Equinix in Palo Alto, gives a tour of a historic building turned data center. He traces its life from 1929 telephone switchboards to 1990s AltaVista workrooms and explains how physical fiber and neutral interconnection shaped today's cloud. Short, vivid scenes bring the hidden infrastructure and its role in connecting networks to life.

Satish Vangala, Director of network product development at Amazon Web Services, leads engineering on data center networking for AI scale. He tours an AWS lab and describes high-capacity 800-gig gear, fiber and connector design, and miniaturized 64-fiber connectors that speed deployment. The conversation highlights transponders, ergonomics of small parts, and the core challenges of meeting demand, scaling fast, and ensuring resilient networks.