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A critical take on the current state of local AI models versus cloud-based LLMs, sparked by a Hugging Face co-founder's tweet claiming Qwen 3.6 running locally via llama.cpp on a MacBook Pro performs comparably to top closed-source APIs. The piece explains how Apple's unified memory architecture and quantization make this possible, while honestly assessing the gap: local models handle narrow tasks well but struggle with large-context, long-running agentic work. It also critiques AI lab hype around replacing developers, citing examples of wasteful AI token usage at Amazon, Uber, and Meta, and argues that the rise of capable free local models poses a real challenge to the business models of companies like Anthropic and OpenAI.