727 FinancePANews October 12 news: Coinbase CEO Brian Armstrong posted on X that Coinbase used internal proprietary data to fine-tune the open-weight model Qwen3.5-9B, achieving better performance than frontier models on the specialized task of fraud prevention, at lower cost and faster speed. Coinbase's technical blog shows that the model's F1 score is 9.60% higher than that of frontier models, and end-to-end latency is reduced by 55.00%. Armstrong said that frontier models are excellent generalists, but specialized models will win on more narrowly defined tasks; Coinbase is making it easy for employees to fine-tune models internally, and some backend services may in the future be completely replaced by this new architecture.
Coinbase CEO: Fine-tuned open-source small models outperform frontier models in fraud detection.
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Coinbase ya sami ribar net na dala miliyan 700 a Q3, inda kusan kashi 90% na ribar ta fito ne daga hauhawar farashin kuɗi.
Lokacin da farashin Bitcoin ya tsaya cikin wani yanayi mai iyaka, kasuwa za ta yi nazari mai zurfi kan ribar Coinbase da juriyar haɗari a matsayin kamfani.