The Tetrad Tour, Part III: Why AI Needs Its Linnaeus (samirvarma.substack.com)

In the latest installment of his Tetrad Tour, Tyler Cowen draws parallels between the evolution of economic thought and the ongoing AI revolution, emphasizing the importance of foundational concepts in both fields. He reflects on the historical context of William Stanley Jevons’ work on marginal utility, highlighting that while the concept existed for decades, it only gained traction when foundational efforts—such as precise measurement and mathematical structuring—were established. Cowen argues that merely having a correct idea isn’t enough; instead, the processes for making those ideas accessible and usable must also be developed. He identifies four lenses crucial for any intellectual revolution: physics (substance), mathematics (structure), computer science (process), and economics (selection). The analysis is significant for the AI/ML community as it suggests that for AI concepts to gain mainstream acceptance and utility, similar foundational work must be accomplished. This involves not only refining algorithms and models but also developing clear methodologies for implementation and teaching, reducing barriers for widespread adoption. Cowen’s framework implies that just as Jevons’ theory of marginal utility became transformative when its components were meticulously aligned, the success of the AI revolution hinges on systematically lowering the “cost” of engaging with these technologies across various fields.