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Launch HN: Laminar (YC S24) – RL-trained model that finds errors in agent traces
Laminar (YC S24) introduced flow-1, an RL-trained model designed to identify errors in AI agent traces. This model, developed by Robert and Din, offers detection quality comparable to GPT-6-sol but is 23 times more cost-effective. This efficiency allows for comprehensive analysis of all production agent traces without the need for sampling, making AI agent observability more accessible and affordable.
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收录当时偏移:UTC+02026年10月19日 17:00 UTC
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- 2026年10月19日 17:00
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