LogicBridge Podcast
On-Device AI for iOS
Sandboxed is a podcast for iOS developers who want to add AI and machine learning features to their apps—without needing a PhD in ML. Each episode, we take one practical topic—like Vision, Core ML, or Apple Intelligence—and walk through how it works, what you can build with it, and how to ship it.
Latest Episodes
What Is a Model?
Understand the .mlmodel format, weights and biases, and why models are frozen artifacts—not code you can debug.
Types of ML Tasks
Master Core ML tasks—classification, regression, detection, and segmentation—and match the task to the hardware to avoid thermal and UX traps.
How Machines "Learn" from Data
How weights, biases, and loss actually work—and how to keep Core ML models from overfitting or learning shortcuts.
The ML Landscape: Cloud vs. On-Device
Why Apple bets on on-device AI: The strategic trade-off between infinite cloud compute and zero-latency privacy.
What Is Machine Learning, Really?
Demystifying ML for iOS developers—what it can and can't do in your apps.