CNBC reports Apple has held preliminary talks with AI startup PrismML to assess model-compression tech that would let large AI models run on iPhones without cloud compute. PrismML says it can reduce model memory footprint 10–15x, enabling a 27 billion-parameter model to run on iPhone 15 and later, with 6–8x faster response and 3–6x lower energy use. If validated at scale, Apple could shift more Siri and generative-AI functions on‑device, improving latency, privacy, offline use and cutting cloud

CNBC reports Apple has held preliminary talks with AI startup PrismML to assess model-compression tech that would let large AI models run on iPhones without cloud compute. PrismML says it can reduce model memory footprint 10–15x, enabling a 27 billion-parameter model to run on iPhone 15 and later, with 6–8x faster response and 3–6x lower energy use. If validated at scale, Apple could shift more Siri and generative-AI functions on‑device, improving latency, privacy, offline use and cutting cloud costs; real-world impacts on battery life, stability and long-term performance remain untested.