Thoughts on design, development, AI infrastructure, and building products.
@Observable replaces ObservableObject's broadcast model with per-property access tracking. The macro expansion, the registrar, and the migration trap.
AI & TechnologyApple Vision ships more than two dozen on-device CV operations. Most devs default to OpenAI Vision for tasks Vision performs in milliseconds, free, on-device.
AI & TechnologyCore ML runs models on Neural Engine, GPU, or CPU. The patterns that ship: model conversion, dispatch hinting, latency budgets, and quantization.
AI & TechnologyiOS 26 introduces SpeechAnalyzer with SpeechTranscriber + SpeechDetector modules, an on-device replacement for SFSpeechRecognizer. When to migrate.
AI & TechnologyApple's privacy manifest is a structured contract, not a checkbox: four sections, five required-reason API categories, SDK rules, common gotchas.
AI & TechnologySwiftData's migration model uses VersionedSchema, MigrationStage, and SchemaMigrationPlan. Most schema changes don't need a V2 schema; the cases that do, do.
AI & TechnologyApple TV navigates by focus, not touch. SwiftUI's .focusable, @FocusState, focusSection, and prefersDefaultFocus are the vocabulary. The patterns that ship.
AI & TechnologySF Symbols ships an animation vocabulary every iOS app can speak. Bounce, pulse, scale, replace, variable color, breathe: already designed, accessible, free.
AI & TechnologySwift Testing ships with Xcode 16+ and Swift 6. Macros, traits, parametrized tests, parallel by default. Migrate incrementally; UI tests stay in XCTest.
AI & TechnologyPersonal Voice, Live Speech, Eye Tracking, Music Haptics, Vocal Shortcuts: accessibility as platform features, not app responsibilities.
AI & TechnologyApple's system font ships with three variable axes and continuous optical sizing. The vocabulary that makes typography work across the Apple platforms.
AI & TechnologyApps that float an iPad UI on Vision Pro miss the platform. Windows, Volumes, Immersive Spaces, ornaments, attachments: the visionOS-native vocabulary.
AI & TechnologyTechnical writing at Introl
Comprehensive hardware recommendations and cost analysis for running large language models locally.
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
Resource sharing strategies for GPU clusters in containerized environments.
Guide to building and managing distributed AI computing with Ray framework.
Analysis of open source LLM economics and DeepSeek's competitive positioning.
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
Small modular reactor solutions for powering next-generation AI infrastructure.
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.