Latency killing your edge apps? Read this: two near-term advances could change where AI runs. MMEdge (arXiv:2510.25327) is a recent on‐device multimodal framework that pipelines sensing and encoding, uses temporal aggregation and speculative skipping to start inference before full inputs arrive, and—tested in a UAV and on standard datasets—cuts end‐to‐end latency while keeping accuracy. IBM unveiled Nighthawk (120 qubits, 218 tunable couplers; up to 5,000 two‐qubit gates; testing late 2025) and Loon (112 qubits, six‐way couplers) as stepstones toward fault‐tolerant QEC and a Starling system by 2029. Why it matters to you: faster, deterministic edge decisions for AR/VR, drones, medical wearables; new product and investment opportunities; and a need to track edge latency benchmarks, early quantum demos, and hardware–software co‐design.