Two podcasting startups have won venture capital funding, a sign that both the promise and the hype is building for a grassroots broadcasting phenomenon that started just about a year ago. Podshow, led by former MTV host Adam Curry, who helped invent podcasting in July 2004, received $8.85 million in funding from Kleiner Perkins and Sequoia Capital, Private Equity Week reported Wednesday. In another sign of podcasting�s growing stature, eminent Kleiner VCs John Doerr and Ray Lane are joining the company�s board, the publication said. Miami-based Podshow is a project of Mr. Curry and Ron Bloom�s Boku Communications. The second company to announce funding Wednesday was San Francisco-based Odeo, led by repeat entrepreneur Evan Williams, who created the Blogger service which is now owned by Google. Charles River Ventures led the round; the sum was not disclosed. The round also included Amicus Ventures, and individuals including Mitch Kapor, Joe Kraus, Tim O�Reilly, Ron Conway, and HotorNot�s James Hong. Both companies make tools for the creation, distribution, and discovery of podcasts, which are audio files delivered by subscription to RSS feeds.
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...