#ai
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Full Walkthrough: Workflow for AI Coding — Matt Pocock
Matt Pocock's 96-minute AI Engineer workshop (1.6M views): a complete idea-to-production workflow for AI coding, built on the thesis that 20-year-old software engineering fundamentals — not new AI paradigms — are what make agents work (Pragmatic Programmer, Fowler, Brooks, Ousterhout cited throughout; closing advice: "head to Amazon and just buy a ton of those old books").
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How I use LLMs
Karpathy's 2h11m general-audience sequel to Deep Dive into LLMs (2.7M views, Feb 2025): a hands-on tour of the LLM app ecosystem — ChatGPT as the feature-rich incumbent, plus Claude, Gemini, Grok, Perplexity, DeepSeek, Le Chat — organised by what goes into the context window, not by vendor.
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Deep Dive into LLMs like ChatGPT
Karpathy's 3.5-hour general-audience deep dive (9.7M views, Feb 2025): the full ChatGPT pipeline — pretraining (internet → tokens → next-token prediction), supervised fine-tuning (conversations → an assistant persona), and reinforcement learning (practice problems → emergent reasoning) — mapped throughout onto how children learn from textbooks: exposition, worked examples, practice problems.
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The Man Who Calls BS On AI: They’re LYING About AI, 2027 Is When It All Breaks! | Ed Zitron
Ed Zitron (tech PR veteran, "Better Offline" podcast, ~16 years in the industry) tells Steven Bartlett that generative AI is "at its heart a con" — not that the software does nothing, but that its capabilities and financials are systematically overstated: "the largest non-consensual push of technology in history."
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DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux | Lex Fridman Podcast #501
13 months after his AI-skeptic appearance, DHH returns fully converted: Omarchy Quattro (his Arch-based Linux distro) shipped with 100% agent-written code — he reviewed shape and critical model-layer lines, but hand-wrote nothing. "There are decades where nothing happens and weeks where decades happen."