Coinbase Finds Newer AI Models Fall Behind Predecessors In Fraud Detection Benchmark

To improve your local-language experience, sometimes we employ an auto-translation plugin. Please note auto-translation may not be accurate, so read original article for precise information. Coinbase tested six AI models on 16,140 transactions and found newer versions underperform older ones at detecting fraud, prompting a shift to open-weight models. Coinbase has published findings showing that the latest generation of frontier AI models performs worse than their predecessors at detecting fraudulent transactions, prompting the exchange to move its risk-control operations toward open-weight models with domain-specific post-training.