America Online is applying its clout to the world of podcasting. Its AOL.com portal will attract audiences to the increasingly popular medium with original programs, repurposed audio content and powerful search capabilities brought together under the rubric of Podcasting 101. The main page will highlight the 11 most popular podcasts along with a few others chosen by the service's editors. Among those being showcased are content from CNN, KCRW's "Morning Becomes Eclectic" and Harry Shearer's "Le Show," the BBC's "Today" and "From Our Own Correspondent," Sci Fi Channel's "Battlestar Galactica," AOL's own "SportsBloggersLive" and Michael Geoghegan's "Reel Reviews." AOL Music and AOL Radio executive director of music industry relations Jack Isquith said Moviefone's "Unscripted" was a good example of existing programming that he expected to do well as a podcast. "No one's really the interviewer, no one's really the interviewee," he said. "Two of the stars involved in a movie just talk to each other. It's perfect for podcasting. That was created not with podcasting in mind but is a great extension."
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...