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Anthropic 的 IPO 申请可能成为史上最大规模的股票发行，其表现被普遍视为对整个科技行业和 AI 资本市场走向具有关键影响。文章分析了 Anthropic 与微软、亚马逊、谷歌、英伟达等巨头的深度绑定关系，以及若 IPO 表现不及预期可能引发的连锁反应。
The paper introduces LOB-Impact, an open-source benchmark showing that neural generative limit order book models trained on next-token prediction exhibit emergent market impact when metaorders are injected, with impact exponents between 0.63 and 1.21, though relaxation decay remains unobserved likely due to short context windows.
提出 Causal Market Simulator：一种基于因果先验训练的连续时间 Prior-Data Fitted Network，用于估计交易的因果市场冲击，显著缓解了经典 Almgren–Chriss 等回归模型在信息性流导致混杂时的偏差，并在模拟订单簿及 BTC/ETH/SOL 永续合约与 Nasdaq 股票数据上展示了正向的因果迁移证据。
This arXiv paper introduces Contingent Exposure Routing (CER), a framework for assigning displaced financial decisions across AI model endpoints during outages to minimize market-impact risk, showing that shared backups create concentration floors and that randomized routing strategies reduce exposure risk by 3.3-10.5% in synthetic and replayed scenarios.
Software stocks are declining due to investor concerns that GPT-6 Astra could disrupt parts of the software business, demonstrating how AI disruption becomes real through market adjustments.
The article questions whether OpenAI and Anthropic can survive the growing competition from Chinese open-weight AI models that are lowering prices and closing capability gaps.
Coinbase and DoorDash are shifting workloads to Chinese AI models like Moonshot's Kimi and Z.ai's GLM, citing significantly lower costs compared to US alternatives, highlighting a broader trend of cost-driven AI adoption.
Since ChatGPT's launch, 41 AI stocks have driven 70 cents of every dollar added to the S&P 500.
South Korea is exploring a proposal to fund a 'citizen dividend' using revenues generated by artificial intelligence, sparking significant reactions in the financial markets. The initiative highlights growing global discussions on how to distribute AI-driven economic gains among the general public.