AI Signals and Reality Checks Anthropic and Google Put AI Agents Behind the Firewall—But the Control Plane Is Still the Product The latest enterprise AI safety moves point to a practical shift: agent deployment is becoming a data-retention, monitoring, and incident-response decision before it is a model decision.
Deep Research 从“内圣外王”到“新造的人”：来华基督教与儒家圣王理想的四百年对话 从晚明利玛窦、徐光启到二十世纪中国基督徒，考察基督教如何回应儒家的内圣外王理想，并区分文化翻译、历史事实与神学边界。
AI Mental Health Frontier AI Mental Health Frontier — Safety Testing Must Follow the Conversation A clinically validated framework shows why mental-health chatbot evaluation must probe multi-turn behavior, not just single answers.
AI Signals and Reality Checks OpenAI 加速智能体落地，真正的能力测试是工作流控制 OpenAI 的最新材料显示，智能体正在从回答问题走向执行工作。真正的测试，是团队能否测量、约束并恢复这些执行。
AI Signals and Reality Checks OpenAI’s Agent Push Makes Workflow Control the Real Capability Test OpenAI’s newest agent evidence shows that capability is moving into execution. The real test is whether teams can measure, bound, and recover the work.
AI Investment Frontier AI Can Turn Earnings Calls Into a Research Queue—If the Queue Is Auditable The practical AI upgrade in transcript research is not a prediction. It is a dated, reviewable queue of claims, questions, and evidence gaps.
AI Mental Health Frontier AI 心理健康前沿——使用已经跑在治理之前 澳大利亚最新证据显示，心理健康行业已经日常使用通用 AI 处理文档，但复杂照护中的准确性、隐私与治理仍未跟上。
AI Mental Health Frontier AI Mental Health Frontier — Adoption Is Ahead of Governance New Australian evidence shows mental-health AI is already routine for administrative work, making governance and complexity-aware evaluation urgent.
AI Signals and Reality Checks OpenAI 扩大广告业务后，答案质量成了商业指标 当广告进入 AI 答案路径，产品团队必须证明商业化保留了用户价值，而不只是提高点击和转化。
AI Signals and Reality Checks OpenAI’s Ad Expansion Makes Answer Quality a Business Metric OpenAI’s ad expansion changes the measurement problem: AI products must prove that monetization preserves useful decisions, not merely engagement.
AI Mental Health Frontier AI Mental Health Frontier — ‘AI Psychosis’ Is a System-Safety Question The emerging discussion of AI psychosis shifts attention from model personality to the safety of human-AI mental-health systems.
AI Investment Frontier AI 可以先筛财报，但每个提醒都必须说清时间与理由 AI 正在把财报研究的第一步变成排序待核查事项；可靠的做法，是让每条提醒都带有可复核、带时间戳的证据记录。
AI Investment Frontier AI Can Triage a Filing—If Every Alert Has a Time-Stamped Reason AI is changing the first pass through filings from reading everything to ranking what deserves review. The safeguard is a reproducible, time-stamped alert ledger.
AI Signals and Reality Checks OpenAI、Anthropic 与 Meta 都在扩张 AI 基础设施，但真正的瓶颈是测试系统 AI 基础设施的下一道约束不只是芯片和电力，而是团队能否在系统变化后仍然证明结论有效。
AI Signals and Reality Checks OpenAI, Anthropic, and Meta Are Scaling AI Infrastructure. The Test Harness Is the Bottleneck The next AI infrastructure constraint is not only chips or power: it is whether teams can test changing systems without changing the conclusion.
AI Mental Health Frontier AI 心理健康前沿 — 部署首先要对齐专业逻辑 一项关于 LLM 心理健康聊天机器人的最新定性研究提醒我们：部署成败取决于角色、证据、工作流与责任如何对齐，而不只是模型质量。
AI Mental Health Frontier AI Mental Health Frontier — Implementation Starts With Professional Logics A new qualitative study of an LLM-enhanced mental-health chatbot shows why implementation depends on reconciling professional roles, evidence, workflow, and accountability—not just model quality.
AI Investment Frontier Retrieval Helps Investment Research Only When the Question Needs It A new financial-reasoning benchmark points to a practical workflow: let retrieval rescue context-complete questions, but measure when it changes a correct answer.
AI Signals and Reality Checks 比尔·盖茨谈动荡的 AI 时代：规模化之前，先证明有效 比尔·盖茨的新文章提供了重要风险信号，却不足以形成生产结论；团队需要先证明 AI 价值能穿过真实工作流。
AI Signals and Reality Checks Bill Gates Sees a Turbulent AI Era. The Missing Variable Is Proof Bill Gates’s new AI essay is a useful risk signal, but not a production conclusion: teams still need evidence that benefits survive real workflows.
Deep Research 从圣经历史观看中国上古史：从挪亚、巴别到黄帝、尧舜禹、夏朝 本文以同一套证据标准比较圣经洪水、巴别与中国黄帝、尧舜禹、夏朝传统，区分考古事实、后世记忆、合理推论与基督教神学解释。
