In iOS 26, Core ML reliably submits inference requests targeting the Neural Engine in the background. In iOS 27 Seed 1, this capability is currently broken. Is Core AI expected to reliably submit inference requests targeting the Neural Engine in the background?

Will ahead of time compilation stay limited to A17 Pro and M1 class hardware? Docs indicate that AOT compilation is only supported for A17 Pro/M1 and newer. iOS 27 supports iPhone 11 (A13) and newer. AOT can't be used on A13-A16 which is a substantial fraction of active user devices in 2026 Is there a path to AOT on older Apple Silicon chips (A14 and newer) down the line? If not, I am afraid, the impact of AOT will be delayed by 3-4 years until it can be broadly leveraged.

Will ahead of time compilation stay limited to A17 Pro and M1 class hardware? Docs indicate that AOT compilation is only supported for A17 Pro/M1 and newer. iOS 27 supports iPhone 11 (A13) and newer. AOT can't be used on A13-A16 which is a substantial fraction of active user devices in 2026 Is there a path to AOT on older Apple Silicon chips (A14 and newer) down the line? If not, I am afraid, the impact of AOT will be delayed by 3-4 years until it can be broadly leveraged.

AFM3 Core Advanced dynamically loads experts into DRAM* for Neural Engine execution. Is this capability accessible to third party via Core AI or Core ML APIs in iOS 27? Reference: https://machinelearning.apple.com/research/introducing-third-generation-of-apple-foundation-models

In iOS 26, Core ML reliably submits inference requests targeting the Neural Engine in the background. In iOS 27 Seed 1, this capability is currently broken. Is Core AI expected to reliably submit inference requests targeting the Neural Engine in the background?

AFM3 Core Advanced dynamically loads experts into DRAM* for Neural Engine execution. Is this capability accessible to third party via Core AI or Core ML APIs in iOS 27? Reference: https://machinelearning.apple.com/research/introducing-third-generation-of-apple-foundation-models