AI Mental Health Frontier AI Mental Health Frontier — High-Risk Conversation Testing Needs Clinical Calibration K-Bench shifts mental-health AI evaluation from comforting replies to calibrated performance across evolving high-risk conversations.
AI Investment Frontier Better AI Models Can Make Investment Research More Correlated A new financial-market simulation points to a neglected control: audit whether stronger AI agents are converging on the same errors.
AI Real Estate Frontier AI property operations move from search to supervised execution The useful frontier in real-estate AI is a traceable operating layer that helps teams act on property data while humans retain responsibility.
AI Investment Frontier Agentic Factor Discovery Needs a Backtest of the Research Process AI agents can search for investment signals, but the process that discovers them needs its own out-of-sample test.
AI Real Estate Frontier AI maintenance triage moves property operations upstream AI maintenance intake is becoming a routing layer, but property teams still need explicit emergency rules, audit trails, and human ownership.
AI Mental Health Frontier AI 心理健康前沿——生成式 AI 辅助暴露干预，先要证明工作流 一项发表于 npj Digital Medicine 的随机试验研究人类与生成式 AI 协作的单次暴露干预，重点不在聊天像不像治疗，而在安全、效果与可接受性如何被验证。
AI Mental Health Frontier AI Mental Health Frontier — Exposure Therapy Needs Human-GenAI Evidence New randomized trials test a human-GenAI single-session exposure intervention for academic anxiety, offering a useful design lesson: measure the care pathway, not just the chatbot.
AI Investment Frontier Agentic Trading Needs a Paper-Trading Ledger Before It Needs Capital As AI agents move closer to market access, the investment workflow changes from writing a backtest to auditing a closed-loop decision process.
Deep Research 从诗篇到巴赫，再到现代敬拜：基督教圣乐三千年的传承、演变与欣赏指南——写给华人基督徒 从古代以色列的诗篇与敬拜，到格里高利圣咏、宗教改革、巴赫与亨德尔，再到 Gospel、CCM 和 Contemporary Worship，梳理基督教圣乐三千年的连续性与证据边界。
AI Mental Health Frontier AI Mental Health Frontier — General Models Still Miss the Geriatric Context A blinded benchmark of three large language models shows why late-life depression needs geriatric-specific evaluation, calibrated triage, and human review.
AI Investment Frontier The Analyst in the Prompt: Separate Evidence From Investor Preference A new audit of LLM financial analysis shows why the research workflow should split evidence scoring from personalized interpretation.
AI Real Estate Frontier AI plan checks move upstream: faster permits, new accountability Honolulu and Cambridge are moving AI plan checks before formal review. The gain is real only if the machine remains a traceable pre-check.
AI Investment Frontier AI Investment Agents Need a Risk-Control Layer Before They Touch Research AI agents can compress investment research, but the useful unit is a reviewable alert with provenance—not an autonomous conclusion.
AI Mental Health Frontier AI 心理健康前沿 — 叙事评估仍需要人工校验点 一项 2026 年研究显示，小型微调语言模型能够接近专家完成两类叙事心理学评分；真正的部署重点是边界、验证与人工复核。
AI Mental Health Frontier AI Mental Health Frontier — Narrative Assessment Needs a Human Checkpoint A 2026 study shows fine-tuned small language models can match expert ratings of two narrative-psychology constructs. The deployment lesson is augmentation, validation, and human review—not automated diagnosis.
AI Signals and Reality Checks Anthropic 与 Google 把智能体放进防火墙，但真正的产品仍是控制平面 Anthropic 与 Google 的最新动作说明，企业智能体首先是留存、监控与事件响应问题，其次才是模型选择问题。
