
MentalHealthBench is an expert-informed benchmark for evaluating helpful and safe AI responses across realistic mental health conversations.
MentalHealthBench is an open benchmark created with more than 80 licensed mental health experts from 22 countries to measure how AI systems respond in realistic mental health conversations. The benchmark assesses model capabilities across key behaviors like safety, seeking context, preserving user agency, and providing actionable guidance, covering a full spectrum of situations from everyday stress to mental health emergencies. It matters because most previous AI evaluations in mental health have focused primarily on emergency scenarios, leaving a gap in understanding how models perform across the full range of conversations people have about well-being and life advice. The benchmark uses synthetic conversations that reflect real-world usage patterns and expert-written criteria with weighted scores to evaluate whether AI responses align with clinical guidance.
Explainer: How to Actually Read an AI Benchmark (Without Being Fooled)
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Ricursive Intelligence just released Ripple-65B Preview. Ripple-65B Preview is a 65B dense open-weight model from Ricursive, pretrained from scratch for agentic coding. It is a general-purpose variant of the proprietary model behind Ricursive’s AI chip design platform. The main claim: 80.52 on Terminal-Bench 2.1, the top self-reported score among US open-weight models. Every MoE rival it beats on that test carries 501B to 975B total parameters. TL;DR Size: 65B dense (65B active), p

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