WallLabel – Experiments with Apple’s open source machine-learning frameworks

On-device models are still someone else’s models but having the flexibility to choose one model over another, to recognize that they are systems with strengths and weaknesses rather than all-knowing oracles, and the ability to incorporate those choices in to how our projects are designed and implemented is a small, but important, step in retaining some degree of control and agency in our work.

This is a blog post by aaron cope. It was published on October 29, 2025 and tagged swift, ios, mlx, machine-learning and roboteyes.

Registrar – Experiments with Apple’s on-device machine-learning frameworks

We are releasing this work in a spirit of generousity and to encourage others to suggest improvements with the larger goal of providing resources to help the broader cultural heritage sector think about how to use machine learning technologies outside and beyond the promises of the billboards advertising these same technologies in Silicon Valley and the world over.

This is a blog post by aaron cope. It was published on October 16, 2025 and tagged swift, ios, llm, machine-learning and roboteyes.