AI Mental Health Frontier AI 心理健康前沿 — 入口本身就是临床工作流 当 AI 进入心理健康服务的咨询、收治与转介入口，它改变的不只是行政效率，而是一条需要专门评估的临床工作流。
AI Mental Health Frontier AI Mental Health Frontier — The Front Door Is a Clinical Workflow AI entering behavioral-health intake and referral is not merely an administrative convenience: it changes a clinical workflow that needs its own safety evaluation.
AI Investment Frontier AI Investment Frontier — The Evidence Layer Matters More Than the Stock Pick Recent evidence that LLM stock picks can follow media attention more than fundamentals makes provenance, point-in-time inputs, and abstention core investment-system features.
AI Signals and Reality Checks AI 的高额投入，正在变成产品定价约束 AI 基础设施投入开始承受市场审问。真正的产品问题是：每一项新增算力，能否换来可持续的用户价值与利润。
AI Signals and Reality Checks AI Spending Is Becoming the Product's Pricing Constraint The AI capex debate is becoming a product question: can usage, pricing, and workload design turn infrastructure spending into durable margins?
AI Investment Frontier AI 投资前沿 — 当市场状态代理遇上 60/40 基准 关于摩根大通市场状态代理的报道，真正值得借鉴的不是跑赢60/40的标题，而是状态识别、约束配置与模型风险之间的系统边界。
AI Mental Health Frontier AI 心理健康前沿 — 安全不能只检测风险，还要治理对话 一项新的多轮对话安全架构提醒开发者：心理健康 AI 需要随着风险变化约束下一步回应，而不只是给消息贴标签。
AI Mental Health Frontier AI Mental Health Frontier — Mental-Health Safety Must Govern the Conversation A new multi-turn safety architecture suggests that mental-health AI needs to shape responses as risk evolves—not merely classify risky messages.
AI Investment Frontier AI Investment Frontier — Regime Agents Meet the 60/40 Test JPMorgan's reported regime-based AI portfolio simulation is a useful design signal—but only if builders separate regime classification from robust, cost-aware allocation.
AI Signals and Reality Checks AI 下一场平台竞争，争的是公共基础设施 Current AI 推动开放式 AI 基础设施，真正值得关注的不是又一个模型，而是模型、数据与本地设备之间能否互换协作。
AI Signals and Reality Checks The Next AI Platform Fight Is Over Public Infrastructure Current AI's open-infrastructure push points to a quieter contest: who controls the interfaces, datasets, and local runtimes that make models useful.
Deep Research Evidence-Aware Handwriting-to-Report Systems A design argument for handwriting-to-report systems that preserve evidence, provenance, uncertainty, abstention, and human review instead of acting like simple OCR.
Deep Research Agent-First Computing and the Fate of Beginner CLI Literacy A research-grounded argument that beginner programming literacy is shifting from command production toward agent supervision, verification, and recovery.
AI Mental Health Frontier AI 心理健康前沿 - Therabot 之后，真正要验证的是照护流程 Therabot 的随机试验让 AI 辅助心理照护更可信，但下一步不是更像治疗师，而是证明监督、升级和随访流程可靠。
AI Mental Health Frontier AI Mental Health Frontier - Therabot Needs Workflow Proof Therabot's first randomized trial is promising, but the real frontier is whether AI-assisted therapy can prove safety inside clinical workflows.
AI Investment Frontier AI 投资前沿 — SciPhy RL 把组合 AI 拉回成本压力之下 一篇新的 arXiv 论文把组合优化写成成本感知的强化学习问题，提醒我们：投资 AI 的关键不只是预测，更是能否在执行成本和仓位约束下把决策真正落地。
AI Investment Frontier AI Investment Frontier — SciPhy RL Puts Portfolio AI Back Under Cost Pressure A new arXiv paper on science-informed reinforcement learning for portfolio optimization is a useful reminder that the real problem in portfolio AI is not prediction alone, but reaching the target position under execution cost and volatility constraints.
AI Investment Frontier AI Investment Frontier — Portfolio Optimization Is a Search Problem Again Cardinality-constrained portfolio optimization is pushing investment AI toward search, repair, and implementation-aware optimization instead of pure prediction.
AI Signals and Reality Checks On-Device AI Is Becoming a Device Stack Problem The important thing is not that AI is moving to the phone; it is that local inference only works when chips, SDKs, and offline actions line up.
