AI Mental Health Frontier AI Mental Health Frontier — Evaluation Must Follow the Intervention New CHI research puts evaluation design at the center of AI mental-health intervention work. The practical lesson: measure change, safety, and human support together.
AI Investment Frontier AI Investment Frontier — The Portfolio Solver Needs a Contract A new comparison of photonic, classical, and reinforcement-learning optimizers points to a practical rule: make the solver’s contract explicit before comparing performance.
AI Signals and Reality Checks AI's Next Infrastructure Bottleneck Is the Power Schedule The AI infrastructure race is moving from buying accelerators to securing the hours, interconnection capacity, and operational flexibility that make them useful.
AI Investment Frontier AI Investment Frontier — Measure Reliance, Not Just Forecasts A new study on AI-supported investment decisions points to a practical design rule: measure how systems change investor judgment, not just forecast accuracy.
AI Mental Health Frontier AI Mental Health Frontier — Engagement Is Not Improvement A new JMIR study links conversational-agent engagement with anxiety and depression measures. The useful lesson is to separate usage signals from clinical outcomes.
AI Mental Health Frontier AI 心理健康前沿 — 使用得更多，不等于变得更好 一项最新 JMIR 研究分析了人们如何使用心理健康对话代理，以及使用模式与焦虑、抑郁指标的关联。真正的课题，是把使用信号与临床改善分开。
AI Signals and Reality Checks Multi-Agent Systems Need a Conflict Budget Recent agent experiments point to a neglected product risk: when several agents share a goal, coordination failure can become the system's dominant behavior.
AI Mental Health Frontier AI 心理健康前沿 — 安全必须按对话过程来测试 Nature Medicine 的新研究表明，心理健康聊天机器人的安全不能只看平均分，而要观察多轮对话如何放大脆弱性。
AI Mental Health Frontier AI Mental Health Frontier — Safety Must Be Tested as a Conversation A new Nature Medicine framework shows why mental-health AI safety needs multi-turn, vulnerability-specific audits—not one average benchmark score.
AI Signals and Reality Checks 欧盟AI法案进入执行期：治理正在变成运行时基础设施 欧盟AI法案高风险条款开始适用。真正的变化不是多一份政策文件，而是AI产品必须在运行中留下可审计证据。
AI Investment Frontier AI 投资前沿：市场信号可能来自谁在交易，而不只是交易什么 一项新的市场微观结构研究说明，参与者历史可以成为投资 AI 的时变证据层，但必须同时面对可迁移性、隐私和信号衰减问题。
AI Signals and Reality Checks The AI Act's Deadline Turns Governance Into a Runtime Feature The EU AI Act's high-risk rules are now enforceable. The practical shift is from policy documents to evidence captured inside the AI system.
AI Investment Frontier AI Investment Frontier — The Signal May Be Who Trades, Not Just What They Trade A new study of public trader identities shows why investment AI should model participant histories as a time-varying evidence layer—while treating portability, privacy, and decay as first-class risks.
AI Mental Health Frontier AI 心理健康前沿 — 从生成病例到临床责任不能跳过人工监督 JAMIA 最新框架把心理健康 AI 的重点从会不会聊天，推进到谁来验证、谁来监测，以及谁对真实世界后果负责。
AI Mental Health Frontier AI Mental Health Frontier — Safety Must Become an Auditable Workflow A new JAMIA framework turns safer mental-health chatbots into a governance problem: define evidence, test failure modes, and assign accountability before deployment.
AI Investment Frontier AI Investment Frontier — The Missing Layer Is Decision Knowledge A new investment-process paper argues that data and models matter only when their contribution to the decision can be traced and assessed.
AI Signals and Reality Checks AI 智能体真正卖的不是自主性，而是恢复能力 智能体的下一个优势不是完成一条干净流程，而是在状态过期、工具失败和需求含糊时，能够透明且安全地恢复。
AI Signals and Reality Checks AI Agents Are Really Selling Recovery, Not Autonomy The next agent advantage is not completing a clean task. It is recovering from stale state, partial failure, and ambiguous instructions without hiding the cost.
AI Mental Health Frontier AI 心理健康前沿 — 青少年语言可能提前多年暴露风险信号 一项由斯坦福团队牵头的研究，用自然语言处理分析204名儿童的访谈，并预测多年后的抑郁或焦虑风险。真正的部署课题是带护栏的预防，而不是用谈话记录给孩子下诊断。
AI Mental Health Frontier AI Mental Health Frontier — Youth Language May Reveal Risk Years Early A Stanford-led study used natural-language processing on interviews with 204 children to predict later depression and anxiety risk. The deployment lesson is prevention with safeguards, not diagnosis by transcript.
