Judgement in the Age of Jev: From Evaluation Scarcity to Evaluation Abundance

The advent of generative artificial intelligence (AI) has significantly lowered the cost of producing symbolic artifacts, shifting organizational focus towards evaluation and discernment amidst this abundance. This research explores the potential for machine evaluation itself to become inexpensive and scalable, inspired by 'Jev,' TypeSafe AI's model for typed probabilistic decisions. It posits a conditional 'Jev's Paradox' for evaluation, suggesting that cheaper AI could unlock new, previously uneconomic uses for evaluation.

This development indicates a fundamental shift in the economics of information processing, moving from scarcity to abundance in both content creation and evaluation. Organizations must strategically adapt to a landscape where sophisticated evaluation, once a bottleneck, could become readily available and drive new operational efficiencies and competitive advantages.

Generative AI has reduced the cost of producing plausible symbolic artifacts, creating an abundance of content.

Forward consideration, not a verified fact.