A bill that would make it easier for telephone companies to sell cable TV may be put to a vote again in the Texas statehouse this week, revived for the second time since May courtesy of an unrelated stalemate over public school funding. The wide-ranging telecommunications bill, approved by separate House and Senate committees on Thursday, is one of several initiatives in statehouses around the nation and in Congress that would enable phone companies to avoid the arduous task of securing thousands of local cable TV licenses. Those efforts have already stalled in Virginia and New Jersey, two of the states where Verizon Communications Inc. and SBC Communications Inc. are investing billions of dollars to upgrade their local phone networks to deliver TV and faster Internet connections.
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...