Simon Willison highlights a passage from Andrew Singleton’s “AI Economics for Dummies,” a satirical piece about AI business logic. The excerpt uses a fictional crematorium and propane-company investment loop to mock inflated valuations, circular revenue, and credulous financial coverage. Willison adds no extended analysis beyond tagging the quote as AI-related commentary.
As the AI model market grows more competitive, cheaper alternatives are emerging that rival flagship models in capability. The central question is whether enterprises can shift from premium models to lower-cost alternatives without sacrificing output quality. If proven viable, this shift could upend AI pricing strategies, enterprise procurement logic, and the market dominance of top-tier model providers.
Nathan L. argues that open and closed models are developing along different exponential curves. The key question is whether marginal gains in model intelligence translate into practical value. Some use cases may reward small capability improvements, while others may not benefit proportionally from additional intelligence.