AIHacker Newsabout 4 hours ago
Laminar Releases Flow-1 AI Error Detector
3 min read
Laminar, a YC S24 startup, released flow-1, an open-source model trained with reinforcement learning to detect silent failures in AI agents. The tool matches GPT-6-sol detection quality while costing 23 times less, making it affordable to analyze every production agent trace without sampling. It runs inside a harness called Signals and returns findings as JSON in a user-defined schema.
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