[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fEViYqFrhdz_i5nPUk-mdrEQnGkHbonZ1C_iU-wBtqdQ":3,"$ftj59r1gjLoEyNw2AuKVdH0zJuD4wfIxEl0X0_jyB7SU":54},{"detail":4,"recommendList":12},{"id":5,"title":6,"content":7,"publishTime":8,"important":9,"sourceName":10,"language":11},218150,"Inception发布扩散大模型Mercury 3，支持百万Token上下文","PANews 10月20日消息，据Inception官方公告，该公司发布扩散式大语言模型Mercury 3，支持100万Token上下文。官方称，其在英伟达GPU上的生成速度达每秒1068 Token，多项基准测试表现超过GPT-6 Luna和Claude Haiku 5.5。标准定价为每百万输入Token 0.20美元、输出Token 0.70美元，首发期间半价。模型已通过Inception API、OpenRouter、Baseten和Vercel开放，兼容OpenAI API。",1792458960000,false,"PANews",0,[13,21,28,35,41,47],{"id":14,"title":15,"content":16,"publishTime":17,"important":9,"sourceName":18,"language":19,"dateString":20},208523,"Haiku 5.5独立评测43分：遥遥领先GPT-6 Luna，但最高档Token消耗超3倍","动察 Beating AI 快讯，第三方评测机构 Artificial Analysis 公布 Claude Haiku 5.5 的测试结果。新模型在综合智能指数中获得 43 分，比上一代的 17 分提高 26 分。它超过 GPT-6 Luna 的 38 分、GLM-5.3 Flash 的 42 分，接近 Kimi K3 的 44 分。该指数综合了编程、专业工作、科学推理等 10 项测试。\n不过，高分也伴随着大量 token 消耗。在最高推理强度下，Haiku 5.5 每项评测任务平均输出约 16.2 万 tokens，是 GPT-6 Luna 的 3.2 倍。两者基础 API 单价相同，但 Haiku 5.5 的预估单任务成本约为 0.21 美元，Luna 仅为 0.07 美元。Haiku 5.5 从次高档调至最高档，综合得分只增加 2 分，输出量却增加约 80%。\n降低推理强度后，差距明显缩小。Haiku 5.5 在 high 档获得 38 分，平均每项任务输出约 5.5 万 tokens，与最高档 GPT-6 Luna 的 38 分和 5 万 tokens 接近。开发者可以通过调整推理强度，减少不必要的 token 消耗。\nHaiku 5.5 也并非全面领先。在 AutomationBench-AA 自动化任务评测中，它仅得 35%，落后于 Luna 的 53%。不过，测试期间模型存在过度拒绝执行任务的问题。Anthropic 正在修复，Artificial Analysis 计划重新测试。此外，目前公布的 Haiku 5.5 任务成本尚未计入长上下文加价，实际费用可能更高。",1791429180000,"Blockbeats",null,"Thu Oct 08 2026 03:13:00 GMT+0000 (Coordinated Universal Time)",{"id":22,"title":23,"content":24,"publishTime":25,"important":9,"sourceName":26,"language":19,"dateString":27},197204,"OpenAI 发布 GPT-6 Sol 与 Luna，API 价格下调 50%","ChainCatcher 消息，OpenAI 于 9 月 22 日发布 GPT-6 Sol 与 GPT-6 Luna 两款新模型，发布时间距 Anthropic 推出 Claude Opus 5.5 仅数分钟。两款模型定位低于 GPT-6 Astra，是面向日常工作的更便宜、更快速选项。OpenAI 同时将两款模型的 API 价格较 GPT-5.6 促销价下调 50%，Sol 输入与输出价格分别为每百万 token 2 美元与 10 美元，Luna 则降至 0.1 美元与 0.5 美元。性能方面，OpenAI 援引 Zapier 的 AutomationBench 基准称，GPT-6 Sol 在最高推理设置下得分为 33.2%，每任务成本 0.27 美元，而 Claude Opus 5 最高设置为 26.9%，每任务成本高出逾 11 倍。在 Agents' Last Exam 测试中，GPT-6 Sol 最高得分 56.4%。在 OSWorld 2 计算机使用测试中，GPT-6 Sol 以 60.5% 对 60.3% 几乎追平 Claude Opus 5 的中等努力得分，成本低约 80%。",1790104200000,"ChainCatcher","Tue Sep 22 2026 19:10:00 GMT+0000 (Coordinated Universal Time)",{"id":29,"title":30,"content":31,"publishTime":32,"important":9,"sourceName":33,"language":19,"dateString":34},216172,"FLock「这那模型」获 Qwen 官方支持，联合阿里云实现性能突破，决策测试超越 GPT-5.6、Claude Opus 5","Foresight News 消息，去中心化 AI 平台 FLock.io 旗下开源决策模型 THIS \u002F THAT「这那模型」获得阿里巴巴 Qwen 官方认可与宣发支持。该模型基于 Qwen3.5 2B 构建，利用 Qwen Max 生成训练数据，并结合 FLock Research Team 在自然语言处理领域国际学术会议 ACL 2026 上发表的 GraphSynth 和 CircuitSynth 两项研究成果，在阿里云平台完成训练。此前，FLock 已与 Qwen、阿里云建立长期技术与生态合作关系，并曾联合 Qwen 在韩国高校举办 AI Hackathon，持续推动 AI 技术创新与开发者生态建设。\n据团队公布的测试结果，THIS \u002F THAT Model 1.2 在 1710 道复杂决策测试中成功率达到 87.8%，较 1.0 版本的 40.6% 大幅提升，并超过 GPT-5.6（81.6%）和 Claude Opus 5（83.4%）。模型仅有 18.8 亿参数，无需生成输出 Token，单次决策延迟约 31.4 毫秒，可在本地设备运行，适用于 AI Agent、企业 AI 及自动化工作流等场景。\nFLock.io 表示，此次模型成果进一步展示了 FLock 在原创 AI 研究、数据合成及高性能专用模型训练方面的技术实力，也是 FLock 与 Qwen、阿里云长期技术及生态合作的又一重要成果。未来，双方将继续探索高效、隐私保护型 AI 模型在更多实际场景中的应用。",1791891360000,"Foresight News","Tue Oct 13 2026 11:36:00 GMT+0000 (Coordinated Universal Time)",{"id":36,"title":37,"content":38,"publishTime":39,"important":9,"sourceName":10,"language":19,"dateString":40},214302,"OpenAI将GPT-6.1 Sol默认上下文长度提升至50万token","PANews 10月12日消息，OpenAI Codex负责人Tibo Sottiaux在X平台发帖称，通过Codex及ChatGPT Work使用GPT-6.1 Sol时，默认上下文长度已由27.2万token提升至50万token，增幅约80%，有助于减少上下文压缩（compaction）的发生，更适合需要长时间保留大量上下文的任务。用户仍可自行调整，GPT-6.1 Sol最大上下文长度为100万token。他表示，未来还将进一步提高默认上下文长度。",1791762720000,"Sun Oct 11 2026 23:52:00 GMT+0000 (Coordinated Universal Time)",{"id":42,"title":43,"content":44,"publishTime":45,"important":9,"sourceName":18,"language":19,"dateString":46},199326,"AI网络安全榜爆冷：GPT-6、Claude旗舰因安全拒答掉队，小米MiMo追平Grok登顶","动察 Beating AI 快讯，Artificial Analysis 推出独立的 Cyber Index，专门评测 AI Agent 做企业网络防御的能力。它不是从原来的通用 Intelligence Index 里抽几项测试，而是另外采用 CWE-Bench-AA、DeepsecBench-AA 和 CyberGym-E2E-AA 三项网络安全评测，分别测试漏洞审计与修补、漏洞发现，以及从发现漏洞到复现并修补的完整流程，三项各占三分之一。\n首批榜单中，Grok 4.7（xhigh）和小米 MiMo-V2.6-Pro 同为 56 分，GPT-6 Luna（max）53 分，GLM-5.3-Flash 50 分。MiMo 平均每个任务成本只有 0.18 美元，Grok 4.7 要 11.67 美元；Luna 更低，只要 0.12 美元。\n不过，这张榜不能简单理解成模型本身的网络安全能力排名。GPT-6 Sol、GPT-6 Astra 和 Claude Opus 5.5 都参加了测试，但在 CyberGym-E2E-AA 上几乎全部拒答，其中 Sol 和 Astra 拒绝全部任务，Opus 5.5 拒绝 98%。拒答直接记 0 分，Luna 反而愿意继续完成这些任务，所以综合成绩更高。Artificial Analysis 也表示，大量拒答让这些前沿模型的实际能力很难判断。\nGLM-5.3 也出现了明显反常。完整版在 Artificial Analysis 的通用能力榜上高于 Flash，但这次 Cyber Index 只有 36 分，Flash 达到 50 分。主要差距来自 CyberGym-E2E-AA：Flash 得到 74%，完整版只有 29%。Artificial Analysis 暂未解释这一差距的原因。",1790669700000,"Tue Sep 29 2026 08:15:00 GMT+0000 (Coordinated Universal Time)",{"id":48,"title":49,"content":50,"publishTime":51,"important":9,"sourceName":52,"language":19,"dateString":53},218052,"Coinbase：支持通过Claude、ChatGPT、Grok等代理交易US500指数及加密永续合约","Odaily星球日报讯 Coinbase 在 X 平台发文表示，用户现可通过 Claude、ChatGPT、Grok 等代理交易指数及加密永续合约，并做多 US500 指数。",1792420200000,"ODAILY","Mon Oct 19 2026 14:30:00 GMT+0000 (Coordinated Universal 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