用能耗衡量智能效率，让机器思考更可持续
Can machines think efficiently?
- 以能耗为约束，重构图灵测试
- 强调智能需兼顾效率与资源消耗
- 适合关注AI伦理与可持续性的研究者
传统图灵测试已无法有效区分人类与机器智能。随着先进AI系统已能通过原版测试，并引发严重伦理与环境问题，亟需更新评估标准。本文在原模仿游戏基础上引入能耗因素，使智能评估聚焦于效率，将抽象的思维问题与有限资源的现实联系起来。新测试提供了可度量、具实践意义的评价终点，促使社会权衡使用AI带来的时间节省与其总资源成本。
原文摘要 · Abstract (English)
The Turing Test is no longer adequate for distinguishing human and machine intelligence. With advanced artificial intelligence systems already passing the original Turing Test and contributing to serious ethical and environmental concerns, we urgently need to update the test. This work expands upon the original imitation game by accounting for an additional factor: the energy spent answering the questions. By adding the constraint of energy, the new test forces us to evaluate intelligence through the lens of efficiency, connecting the abstract problem of thinking to the concrete reality of finite resources. Further, this proposed new test ensures the evaluation of intelligence has a measurable, practical finish line that the original test lacks. This additional constraint compels society to weigh the time savings of using artificial intelligence against its total resource cost.
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