Mac Power Users 818: "Recreational Math," with Dr. Drang
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Oct 12, 2025 Dr. Drang, an engineer-turned-blogger and automation enthusiast, shares his insights on transitioning back to Mac with Apple Silicon and the importance of automation tools like Python and Keyboard Maestro. He discusses the nuances of choosing an iPhone, emphasizing grip over mere protection in phone cases. The conversation ventures into the strengths and quirks of LLMs, alongside underrated tools such as Kagi and Mathematica for recreational math. Dr. Drang's perspective blends tech savvy with practical philosophy, making for a lively chat.
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Use LLMs For Testable Code Tasks
- Use LLMs to generate SQL or short scripts when you can run and verify results immediately.
- Feed back failures and iterate with the model to get corrected, testable code quickly.
Apple Leverages Standards To Catch Up In AI
- Apple's embrace of open standards like MCP parallels early OS X reliance on open-source to fill gaps.
- MCP adoption shows Apple is outsourcing AI wiring until it builds internal capacity.
What Remains After An AI Bubble
- A potential AI bubble may burst, but useful agentic remnants and code automation will persist.
- 'Donkey work' automation and code generation are likely long-term survivors of the AI wave.