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TradeAlpha
4w ago
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openai reports navier-stokes singularity find, a contender for second ever millenium prize awarded, overshadowing cognition's $48b series e, mistral's $24b series d, meta's muse agent, and gpt image 2.5

**openai** announced a proposed navier–stokes proof by an internal model "**significantly more capable than gpt-6 astra**" using **10,000 agents** over **88 hours** plus **17 hours** of formal verification. the effort highlights the emergence of **massive test-time compute scaling** as a new axis beyond pretraining, with estimated costs of **$10m–$40m** and **130b output tokens**. controversy arose over priority, data contamination, and scientific norms, with key figures like **sam altman**, **sébastien bubeck**, and **terence tao** weighing in on governance and open science risks. meanwhile, **meta** launched **muse**, a consumer personal ai agent featuring persistent isolated linux vms, browser integration, and connectors to various apps including meta-native services like instagram and messenger, emphasizing security and broad service integration.

AINews ainews 有用 0
ainews
5w ago
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22

路透社:【路透社】\n\n伊朗通过一种类似易货贸易的机制,绕过石油销售制裁,从中国购买价值数十亿美元的商品,包括军事装备。两位伊朗高级消息人士和三位知情人士向路透社透露,该秘密贸易机制以伊朗石油换取中国进口商品的信贷,近年来为德黑兰提供了经济生命线,因美国因核计划加大经济和军事压力。\n\n该机制也帮助中国这个全球最大原油进口国获得折扣伊朗石油,同时保护向伊朗出口的银行和企业免受国际审查或处罚。美国已制裁一些购买或协助运输伊朗石油的中国小实体,但未采取可能影响全球经济的更严厉措施。华盛顿在试图解决与伊朗的战争并重开霍尔木兹海峡之际加强施压。8月,财政部长斯科特·贝森特警告各国切断与伊朗的商业联系,否则可能被逐出美元金融体系。\n\n路透社无法确定美国海军封锁对该机制的影响。自7月14日封锁恢复以来,没有伊朗原油货物成功通过霍尔木兹海峡运往中国。中国和伊朗多次谴责西方单边制裁,誓言保护自身利益。所有消息人士称,伊朗用该机制购买药品、车辆和通信设备,制造商未直接与伊朗交易,无迹象表明违反制裁。过去一年,该机制至少一次用于供应价值数百万美元的防空设备合同。\n\n2025年9月,联合国对伊朗

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TradeAlpha
5w ago
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25
TradeAlpha
5w ago
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27

not much happened today

**deepseek** launched **v4.1-flash**, a new open-weight flagship model focused on extreme inference efficiency and low cost, featuring a **763b total-parameter** causal encoder-decoder architecture with **8b active input** and **16b active output** parameters and **1m-token context**. it scored **40 on the artificial analysis intelligence index**, outperforming its predecessor and ranking just below **glm-5.3-flash**. the model supports text and image input, is available under an **mit license**, and is accessible via us/api. the architecture introduces a novel causal encoder-decoder design aimed at reducing active compute and kv/cache costs, with a hybrid sparse/local approach and a unique vision encoder differing from recent chinese models. early layers use a **swa-only** pattern, and the model has an effective depth of about **40 layers** with **20 decoder layers**. baseten and ollama have begun supporting and rolling out the model to users.

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ainews
5w ago
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