According to the New York Times -- "A major record label, the Universal Music Group, said on Friday that it had entered into a strategic alliance to sell a music-oriented cellphone service. The phones will include features that make it easier to download snippets of songs, and, eventually entire songs, according to the Universal Music Group's strategic partner, Single Touch Interactive, which works with companies to develop and package branded phone service. Universal Music, a unit of Vivendi Universal, becomes the latest to get into the affinity phone business, joining the likes of ESPN and Walt Disney in trying to carve out a niche of customers by selling phones that focus on providing specific content. The companies buy mobile minutes wholesale from a major national carrier, like Sprint or Cingular, and then resell that as prepaid time to their own customers. In the case of Universal Music, the company will not be operating the service, but plans to provide content to Single Touch, and to share in the revenue from minutes sold."
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...