Post #4748281 · Elektrine

2026-09-18 11:23 UTC

My third level is personal action. My primary use of LLMs will remain rubber-ducking and code generation. The traditional rubber duck never argues, which is both a feature and a limitation. An LLM can help me externalize a thought, expose assumptions, explore objections, and turn an intuition into something I can inspect. It can also be confidently wrong, a quality for which humanity hardly needed outside help. In coding, it can draft implementations, tests, explanations, and alternatives at high speed. In both uses, I remain the reviewer and carry responsibility. I do not want to outsource judgment. I want better material on which to exercise it. 31/34

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@masek@infosec.exchange 2026-09-18 11:23

I want to acquire more skill in harnessing AI: supplying the right context, connecting tools, structuring memory, decomposing work, building evaluations, and verifying results. That matters more to me than collecting clever prompts as if they were magic spells. The model is one component. The harness determines whether it can participate in a reliable process. I will also continue testing and using local LLMs for personal work. They give me practical knowledge of what is possible without a permanent service dependency and where local capability still fails. Local is not automatically better, and owning the hardware does not confer wisdom. It does help me maintain competence, privacy, and an exit option. 32/34

Open ##4749657