Jev's Paradox: The hidden cost of cheap AI decisions

TypeSafe.ai's Jev model offers a faster and cheaper zero-shot classification approach for automated decision-making, particularly in cybersecurity alerts, with accuracy competitive to some frontier models but below supervised classifiers. Its low cost and speed allow scaling automation, but increased automation risks greater cumulative errors if error rates exceed current baselines.

This Wire brief sits within Fusion42's coverage of AI Infrastructure and Cybersecurity.