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Comments (22)

  • an0malous
    This is why the AI companies are rushing to IPO. By the end of next year you’ll be running most of your AI on device. They have no moat, they’ve reached the limits of scaling, most of the magic can be distilled into smaller models, and they know it
  • franze
    i am more excited about the ondevice foundation model update that is coming https://developer.apple.com/documentation/updates/foundation... (not much info yet)but i maintain https://github.com/Arthur-Ficial/apfel so i might be biased
  • MysticOracle
    WWDC 2026 Core AI videosMeet Core AI - https://developer.apple.com/videos/play/wwdc2026/324/Dive into Core AI model authoring and optimization - https://developer.apple.com/videos/play/wwdc2026/325/Integrate on-device AI models into your app using Core AI - https://developer.apple.com/videos/play/wwdc2026/326/
  • bensyverson
    Wow, this seems to be a new way to convert PyTorch models to a format that runs across CPU, GPU & Apple's Neural Engine (ANE). [0]Does this completely replace the previous API, CoreML? [1] [0]: https://apple.github.io/coreai-optimization/ [1]: https://developer.apple.com/documentation/coreml/
  • criddell
    Is there something like this on Linux? For example, if I’m an application developer can I assume GNU Core AI (or whatever it is or would be called) will be there if the kernel is >= some particular version?