Publishing Details
Contact & Outreach
About This Podcast
Explore Statistics
Recent Episodes
S1E12 Vision Framework Integration: The Hello World of AI
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…
S1E11 Model Selection Strategy: When to Reject AI
We 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…
S1E10 Privacy Preserving AI: The Architecture of Trust
We 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.
S1E9 Apple ML Frameworks: The Abstraction Onion
Sam 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…
S1E8 The Compiler & The Chip: How Code Becomes Thinking
We 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…
S1E7 Neural Network Architecture: The 10,000-Foot View
We 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…
S1E6 Machine Learning Engineering: Training vs. Inference
As 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…
S1E5 The Frozen Artifact: Understanding Core ML Models
We 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…
S1E4 Machine Learning Primitives: The Shape of the Answer
We 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,…
S1E3 The Universal Function Approximator
We 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…
S1E2 The Fork in the Road: Edge vs. Cloud
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…
S1E1 The End of "If-Else"
We 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…
Frequently Asked Questions
Sandboxed - On-Device AI for iOS has published 12 episodes since December 2025, covering topics in Technology.
Sandboxed - On-Device AI for iOS is currently active with new episodes daily. Average episode length is 29m.
Sign up on Grep.FM to access contact details for Sandboxed - On-Device AI for iOS, including email and social media links.
