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an0malous 23 minutes ago [-]
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
sealeck 4 minutes ago [-]
Have we reached the limits of scaling? Sadly it appears that larger model still equals better model
This is just a bit exciting, although I wonder how the performance of this will stack up next to the stuff we already do with, e.g., a metal-optimised model which we then load into llama-cpp or whatever. (unsloth is a good example of doing this for you "batteries included").
earthnail 2 hours ago [-]
Yes. From the CoreAI docs:
"If your app uses model types other than neural networks, such as decision trees or tabular feature engineering, see Core ML."
pzo 1 hours ago [-]
seems they planning to replace it but overall now I'm really confused about this and mlx and coremltools. They should do better work explaining the benefits (and cons) of it and any feature parity between coreai, coreml and mlx.
wahnfrieden 42 minutes ago [-]
Requires OS 27+, so CoreML is still useful for backwards compatibility.
but i maintain https://github.com/Arthur-Ficial/apfel so i might be biased
Does this completely replace the previous API, CoreML? [1]
"If your app uses model types other than neural networks, such as decision trees or tabular feature engineering, see Core ML."
Meet 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/