The Man Who Looked at TSMC and Thought: Fine, I’ll Build My Own
Musk's chip-factory ambition becomes a case study in impatience, vertical integration, and the difference between strategy decks and industrial action.
Hardware
17posts
Nobody With Claws
NVIDIA's NemoClaw is read as more than a framework: a sign that open AI agents are becoming infrastructure with teeth.
The ROM Listing Spirit Lives On in Apple Silicon
Apple Silicon's reverse-engineered Neural Engine revives the old personal-computing spirit of manuals, memory maps, and productive trespass.
Distillation attacks on large language models: motives, actors and defences
A concise guide to model distillation as both useful compression technique and strategic attack surface in the LLM economy.
Imposta, but Make It Full-Duplex: PersonaPlex and the Next Wave of Voice Agents
NVIDIA's PersonaPlex points toward voice agents that interrupt, overlap, and converse more naturally, with all the design risks that implies.
A Gigawatt of Compute: Why xAI’s Colossus 2 Matters
xAI's Colossus 2 announcement is less about one data center than about the escalating geopolitics and economics of compute.
LLM-Guided Image Editing: Embracing Mistakes for Smarter Photo Edits
Apple's image-editing research suggests smarter creative tools may learn from failed edits instead of hiding them.
Europe's Exascale Extravaganza: A Supercomputer Saga of Red Tape, Rivalry, and Reluctant Reliance
Europe's Jupiter supercomputer is impressive, but the post asks whether regulation and dependency will blunt its strategic value.
The Return of the Oracle: Why AGI Invites a Priesthood—and How Not to Build One
Powerful opaque AI systems may create a new priesthood of interpreters unless access, literacy, and governance are designed differently.
Neural Texture Compression: Revolutionizing Game Graphics for Gamers and Developers
Neural texture compression promises richer game graphics with lower memory costs, changing the pipeline for artists and developers.
From 80s Supercomputers to Mac Studio Clusters: The MLX-Powered DIY AI Revolution
From Cray supercomputers to Mac Studio clusters, the post traces the strange continuity of DIY AI horsepower.
How DeepSeek's Mathematical Optimizations Complement NVIDIA's NCCL for Efficient AI Training
DeepSeek's mathematical optimizations show how model design and NVIDIA communication infrastructure meet inside efficient training.
The AI Gold Rush Just Got Interesting: How China's DeepSeek R1 is Giving Silicon Valley a Run for Its (Literal) Money
DeepSeek R1 disrupts the AI cost narrative, challenging Silicon Valley's assumption that frontier capability requires extravagant spending.
The Night Before Training: A Machine Learning Christmas Tale
A machine-learning Christmas poem turns training runs, GPUs, and convergence into a festive technical fable.
The New Free Lunch Is Over: Parallels Between CPU Evolution and AI Development
AI faces its own version of the end of the free lunch, where growth runs into energy, hardware, and efficiency limits.
From Code to Consciousness: The Evolution of Computer Viruses in the GenAI Era
Computer viruses evolve into the GenAI era, where malicious behavior may target prompts, agents, and model ecosystems.
Navigating the Complexity of Large Language Models: A Dual Perspective
Two perspectives on LLM interaction reveal how user behavior and model dynamics shape each other in unexpected ways.