accelerate scientific research could result in cures for disease and solutions for climate change and resource shortages. As Demis Hassabis, CEO of Google DeepMind, has suggested: ‘First we solve AI, then use more tokens per task. The appetite for AI isn't slowing down. It’s growing into every available resource – just like software did in the age of desktop and cloud. But infrastructure is not just standing with Jevons Paradox, first proposed back in 1865* – that technological advancements that improve resource efficiency actually lead to increased overall usage of those resources. This is driving new focus

Elaboration（细化）：深入探讨每个子任务的细节 • Connection（连接）：建立子任务之间的逻辑关联 • Temporal Arrangement（时序安排）：考虑任务的时 间维度 • Resource Allocation（资源分配）：为每个子任务分配 适当的注意力资源 • Adaptation（适应）：根据AI反馈动态调整任务结构 为了更有效地进行任务分解，可以采用SPECTRA模型（Systematic

Elaboration（细化）：深入探讨每个子任务的细节 • Connection（连接）：建立子任务之间的逻辑关联 • Temporal Arrangement（时序安排）：考虑任务的时 间维度 • Resource Allocation（资源分配）：为每个子任务分配 适当的注意力资源 • Adaptation（适应）：根据AI反馈动态调整任务结构 为了更有效地进行任务分解，可以采用SPECTRA模型（Systematic