Systems Thinking Is Vital in the Age of AI
TL;DR
Modern engineering projects increasingly combine human judgment with machine capability. An engineer can define a problem, then ask an artificial intelligence tool to search relevant research and technical standards, generate design options, test them in simulation, and compare the results.
Nauti's Take
Small teams should test this as a bounded workflow: ask an AI system to research one technical question, produce two design options, and document its assumptions. Then have a domain specialist review which assumptions affect safety, feasibility, or user impact.
The IEEE Spectrum report makes the direction plausible, but it does not yet establish a reliable production method.
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