Engineering Philosophy: Geoffrey Hinton, Conviction Over Fashion
Geoffrey Hinton bet on brain-like neural networks through two AI winters when the field mocked them -- conviction over fashion, intuition over formalism.
Engineering & CraftThoughts on design, development, AI infrastructure, and building products.
Geoffrey Hinton bet on brain-like neural networks through two AI winters when the field mocked them -- conviction over fashion, intuition over formalism.
Engineering & CraftMark Shuttleworth built Ubuntu on one idea -- Linux for human beings, free software for everyone -- grounded in ubuntu: humanity to others, shipped on a clock.
Engineering & CraftYann LeCun built deep vision on convolution, then bet that real intelligence comes from learning the world unsupervised and publishing it openly -- not bigger LLMs.
Engineering & CraftJim Keller architected the chips behind AMD's comeback, the iPhone, Tesla's Autopilot and more -- by spending silicon to remove bottlenecks and rethinking from first principles.
Engineering & CraftRaj Reddy pioneered machines you can talk to -- speech recognition, the blackboard model -- then aimed the most advanced AI at the world's poorest, not its richest.
Engineering & CraftDemis Hassabis built general intelligence from first principles -- games as the proving ground, neuroscience as inspiration -- then pointed it at protein folding and won a Nobel.
Engineering & CraftFoundation Models gives you Apple's sealed on-device LLM. MLX runs your own: quantized open-weight models and LoRA fine-tunes on Apple Silicon.
AI & TechnologyRoberto Ierusalimschy designed Lua around one principle -- mechanisms, not policy -- a small, fast, embeddable language that hands you the levers instead of the rules.
Engineering & CraftKyunghyun Cho let models learn their own control structure -- gated memory in the GRU, soft alignment in attention -- and paired it with honest, reproducible science.
Engineering & CraftSwift 6.2 inverts concurrency: default your module to MainActor (SE-0466), run nonisolated async on the caller (SE-0461), escape with @concurrent.
AI & TechnologyApple's Translation framework: free on-device translation via translationPresentation and TranslationSession, plus the offline-download edges demos skip.
AI & TechnologyApple's Foundation Models framework: LanguageModelSession, @Generable guided generation, tool calling, availability, and when to leave the on-device model.
AI & TechnologyTechnical writing published 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.