AI's Messy Reality: Live Coding, Physical Robots, and Data Integrity

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AI's Messy Reality: Live Coding, Physical Robots, and Data Integrity

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Jonathan Harris cuts through the AI fanfare this week, examining the practicalities of building intelligent systems. We look at the surprising value of live coding sessions for knowledge transfer and the real-world challenges of physical AI, from motors to maintenance. Plus, the unglamorous but crucial role of data governance and context management in making AI useful, and the quiet shift towards voice as a default developer tool. It’s about what actually works, not just what sounds good in a press release.

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