NY RAISE Act targets AI safety as Zhipu AI launches GLM 4.7, Nvidia buys Groq

Why should anyone caring about AI policy pause their coffee? Because a handful of moves this week could shape how developers, investors, and regulators interact for years to come. In Albany, lawmakers are pushing a bill that would become the United States’ second major attempt to codify safety standards for artificial‑intelligence systems.

At the same time, a Chinese startup, Zhipu AI, rolled out GLM 4.7—a new open‑source model touted for its coding prowess—while Nvidia announced a purchase of the inference‑chip maker Groq, a deal that may shift hardware dynamics for high‑throughput AI workloads. Add a mention of METR, a platform evaluating long‑horizon AI agents, and the picture gets more complex: cost structures, performance metrics, and compliance requirements are all under scrutiny. The convergence of legislation, model releases, and hardware acquisitions forces the industry to confront a core question: can rapid innovation coexist with emerging safety frameworks without inflating expenses beyond what startups can bear?

New York's RAISE Act legislation aims to regulate AI safety, marking the second major AI safety bill in the US. The launch of GLM 4.7 by Zhipu AI marks a significant advancement in open‑source AI models for coding. Evaluation of long‑horizon AI agents raises concerns about the rising costs and effic.