Blog Posts - Page 11
Page 11 of 99 • 1086 posts total
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The Country That Holds the AI Supply Chain Hostage
ASML and the Netherlands hold extraordinary leverage over the global semiconductor supply chain. How a small country accidentally acquired geopolitical power it never wanted.
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The 128GB Mac Studio Trick AI Researchers Don't Want You to Know
Running 70B parameter LLMs at home on a 128GB Mac Studio. Quantization explained, GGUF versus MLX formats, real tokens per second on M-series Ultra, power draw versus multi-GPU rigs, and the AI homelab economics.
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GitHub Copilot: Running Copilot CLI as a scriptable review step inside pre-commit hooks
A field-tested take on running Copilot CLI as a scriptable review step inside pre-commit hooks with GitHub Copilot: what it rewards, where it breaks, and how to keep the workflow honest.
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The Biggest Tech Myths People Still Believe
Debunk the most persistent tech myths that people still believe. Learn the truth about incognito mode, phone charging, Mac security, megapixels, and more.
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How Big Tech Learned to Make Governments Afraid of Regulating AI
Tech companies have systematically delayed AI regulation using a playbook refined over decades. Understanding that playbook is the first step to countering it.
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Stop Paying for Transcription — Your Mac Does It Better, Free
How to run Whisper locally on a Mac with whisper.cpp Core ML acceleration or MacWhisper. Realistic speed and accuracy versus Otter and Rev, multilingual support, and a private meeting-to-summary workflow.
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Local LLMs with Ollama: Keeping a small local model honest with tight prompts
A field-tested take on keeping a small local model honest with tight prompts with Local LLMs with Ollama: what it rewards, where it breaks, and how to keep the workflow honest.
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The Truth About Batteries: Why Phone Battery Life Hasn't Really Improved in Years
Explore why smartphone battery life has stagnated despite decades of innovation. Understand the physics of lithium-ion limits, the trade-offs.
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The Hidden Math That Explains Why AI Keeps Getting Smarter
Neural scaling laws reveal a predictable mathematical relationship between compute, data, and AI capability that reshapes how we think about AI progress.
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Apple MLX Is the Most Underrated AI Framework Right Now
A practical guide to Apple MLX and mlx-lm on Apple Silicon. Why MLX beats llama.cpp for some workloads, the MLX community models on Hugging Face, and LoRA fine-tuning a local LLM on a MacBook in one afternoon.
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Agentic coding: Difference between an agent and a slow script
A field-tested take on the difference between an agent and a slow script with Agentic coding: what it rewards, where it breaks, and how to keep the workflow honest.
