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A comment about AI: the author marvels that everything in human civilization can be redone with AI, and discusses the roles of the harness, system prompt, and toolset in model training.
A discussion on why speculative decoding matured in 2026 for LLM inference, citing Uber's early use, Apple and DeepMind papers, and Tri Dao's research, with observations on adoption in frameworks and local deployments.