AI Investment Frontier AI Investment Frontier — Credit Models Need an Explicit Fairness Frontier A new semi-structured credit model shows how investment AI can expose the trade-off between predictive lift, interpretability, and group fairness.
AI Investment Frontier AI Investment Frontier — Financial Advice Needs a Lifecycle Test A new study of AI financial advice shifts the investment-AI question from fluent answers to lifecycle outcomes, suitability, and governance.
AI Investment Frontier AI Investment Frontier — Investment AI Needs a Decision Trace A new benchmark argues that investment agents should be judged by point-in-time evidence, investor profile, reasoning, decisions, and delayed outcomes—not returns alone.
AI Investment Frontier AI 投资前沿：风险偏好也应成为组合模型的输入 一篇新论文把机器学习的收益预期放进结构化组合模型，提示投资 AI 不应只预测资产，也要理解决策者的行为与约束。
AI Investment Frontier AI Investment Frontier — Risk Preferences Are a Portfolio-Model Input A new paper combines machine-learned return expectations with a structural portfolio model. The lesson for investment AI is to model behavior and constraints, not just forecasts.
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 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 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 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 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 Investment Frontier AI Investment Frontier — The Real Test for Financial Foundation Models Is Temporal Integrity Financial foundation models can improve research workflows, but only if their priors, labels, and evaluation windows respect the information available at the time.
AI Investment Frontier AI 投资前沿 — 三个矩阵，少一点预测幻觉 一篇最新论文用价格、成交量和市值构造三个市场状态矩阵，提醒投资 AI：状态表示和样本外纪律可能比更大的预测器更重要。
AI Investment Frontier AI Investment Frontier — Three Matrices, No Forecasting Theater A new price-only portfolio paper suggests a useful design principle: robust state representations and explicit validation may matter more than a larger return forecaster.
AI Investment Frontier AI 投资前沿 — 给 AI 资本开支背后的隐性依赖定价 AI 资本开支竞赛正在变成组合风险问题。本文把基础设施热情拆解为可验证的现金流、情景和模型风险控制。
AI Investment Frontier AI Investment Frontier — Pricing Hidden Dependencies Behind AI Capex The AI investment race is becoming a portfolio-risk problem. Here is a practical framework for separating compute enthusiasm from durable cash-flow and model evidence.
AI Investment Frontier AI 投资前沿 — 风险 AI 需要控制平面，而不只是一个模型 金融犯罪预防与可解释预测研究共同指向一个工程结论：投资风险 AI 必须把证据、升级、权限和审计放在模型周围。
AI Investment Frontier AI Investment Frontier — Risk AI Needs a Control Plane, Not Just a Model Recent finance research points to a practical frontier: AI systems in investment risk and financial crime need provenance, escalation, and audit controls around the model.
