Hosted by Logicbridge · EN · 12 episodes
Established thought leaders with verified media credentials.
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.
Logicbridge hosts Sandboxed - On-Device AI for iOS, a technology show with 12 episodes published.
We move from theory to practice by building a real-time image classifier from scratch. We explore the architectural challenges of integrating Core ML into an iOS app, using the Vision framework as the critical "transmiss
Show notesWe explore the architectural discipline of knowing when to use Machine Learning and when to stick with deterministic code. We dissect the "AI Everywhere" trap, compare the costs of Code 1.0 vs Code 2.0, and establish the
Show notesWe explore the architectural tension between AI capability and user confidentiality. From the Secure Enclave to Private Cloud Compute, we breakdown how Apple builds trust into the silicon itself.
Show notesSam and Alex peel back the layers of Apple's machine learning stack. They navigate from the high-level magic of the Vision framework down through the engine room of Core ML and finally to the bare metal physics of Accele
Show notesWe strip away the "Interpreted AI" myth to reveal the reality of the Core ML Compiler. We explore Layer Fusion, the ANE's Systolic Array architecture, the "Ping-Pong" performance trap, and why shipping a `.mlpackage` is
Show notesWe strip away the biological metaphors of AI to reveal the mechanical reality: differentiable decision trees. We explore the Forward Pass, the role of ReLU as a logic gate, and why "Deep" hierarchies work. Finally, we br
Show notesAs iOS engineers, we respect the science of training models, but we live in the trenches of inference. In this episode, we explore the "Great Divide" between creating a model and running it. We break down the memory mech
Show notesWe deconstruct the .mlmodelc bundle to understand exactly what we're shipping. Does a model have logic? No. It has settings. We explore the "Factory" analogy, the difference between architecture and weights, and why we m
Show notesWe stop treating AI as a "magic black box" and start treating it as a function with a strict return type. Sam and Alex break down the three fundamental primitives of Machine Learning—Classification, Regression, and Clust
Show notesWe dismantle the mystical "black box" of AI to reveal simple mechanical gears: Function Approximation and Optimization. We explain why code is dying, how "learning" is just curve-fitting, and why your iPhone is built to
Show notes
We explore the strategic shift from cloud-dependent dominance to local intelligence. Why latency is the enemy, how Apple's Unified Memory Architecture "cheated" the laws of PC physics, and why the future of AI economics
Show notesWe explore the paradigm shift from deterministic programming (Software 1.0) to probabilistic machine learning (Software 2.0). We break down how ML models work using the "Factory" analogy, explain the "Semantic Gap" that
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Sandboxed - On-Device AI for iOS is hosted by Logicbridge. The show is categorised under technology and has published 12 episodes.
Sandboxed - On-Device AI for iOS has published 12 episodes.
Sandboxed - On-Device AI for iOS regularly covers technology. It sits in the technology category.
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Episodes of Sandboxed - On-Device AI for iOS average 30 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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