[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"content-doc-dcio1f8850fa":3},{"user":4,"document":8,"mainDocument":27,"columnUrl":29,"subscription":30,"footer":42,"text":80},{"isAuthenticated":5,"isAdmin":5,"displayName":6,"avatarUrl":6,"nid":6,"groupLevel":7},false,"",-10,{"id":9,"fullTitle":10,"subTitle":6,"url":11,"columnId":12,"columnName":13,"columnUrl":14,"summary":6,"contentHtml":15,"mainContentHtml":6,"posterUrl":16,"createDate":17,"displayDate":18,"displayDateSlash":19,"pageviews":20,"tags":21,"hidden":5,"isSubContent":5,"replyDocOrTargetId":6,"contentType":23,"videoId":6,"liveVideoUrl":6,"useContentVideo":5,"duration":24,"price":24,"priceText":25,"priceBadgeText":25,"priceBadgeClass":26,"freeForMinGroupLevel":24,"redirectUrl":6,"readyToStream":5},"dcio1f8850fa","Alphabet(GOOG)推出三款低成本Gemini模型-发力网络安全与AI推理效率","\u002Fdoc\u002Fdcio1f8850fa","col18178739ee","美股资讯","\u002Fcol\u002Fcol18178739ee","\u003Cp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">美股投资网获悉，在财报发布前夕，Alphabet(GOOGL、GOOG)旗下谷歌周二正式推出三款全新Gemini模型，涵盖网络安全、编程及高性价比推理等多个领域，旨在展示AI产品线的最新进展，并应对Anthropic及其他AI企业日益激烈的竞争。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">此次发布的产品包括Gemini 3.5 Flash Cyber、Gemini 3.6 Flash以及Gemini 3.5 Flash-Lite。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">其中，Gemini 3.5 Flash Cyber专门针对网络安全场景开发，可用于识别并修复软件漏洞，初期将仅通过有限访问测试向政府机构及可信合作伙伴开放。谷歌表示，该模型在保持专业能力的同时，单Token使用成本低于更大规模模型。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">业内认为，这一产品有望帮助谷歌缩小与Anthropic在网络安全AI领域的差距。此前，Anthropic凭借Mythos模型率先在自动化代码安全防护市场建立领先优势。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">与此同时，谷歌还推出Gemini 3.6 Flash。公司表示，新模型进一步提升了编程、多模态处理及知识工作任务表现，同时Token消耗较上一代减少最多17%，单位Token成本进一步下降，有助于降低大规模AI应用部署成本。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">另一款Gemini 3.5 Flash-Lite则定位为Gemini 3.5系列中速度最快、成本最低的模型，主要面向高并发任务及AI智能体系统中的轻量级工作负载。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">分析认为，此次产品矩阵反映出谷歌正试图通过更低成本、更高效率来弥补其在部分AI产品发布时间上的落后。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Artificial Analysis数据显示，Gemini Flash系列模型目前已在价格方面低于Anthropic、OpenAI以及部分其他AI企业同类产品。谷歌表示，性能最强的新款Gemini 3.6 Flash，在单位任务成本方面也低于OpenAI的GPT-5.6 Terra Max、月之暗面的Kimi K3以及阿里巴巴(BABA)的Qwen 3.7 Max。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">此次新品发布正值Alphabet即将公布季度业绩之际，同时，AI企业竞争也持续升温。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">近期，月之暗面推出的Kimi K3市场需求旺盛，公司因算力不足一度限制新增订阅及API访问；与此同时，阿里巴巴也预告即将推出Qwen 3.8 Max，并表示其综合性能仅次于Anthropic最新旗舰模型Fable 5。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">业内认为，这也凸显当前AI竞争的另一关键因素，打造领先模型只是第一步，企业还必须具备足够的算力基础设施，才能支持模型的大规模商业化部署。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">在这一领域，谷歌凭借自研AI芯片(TPU)、云基础设施以及软硬件协同设计能力具备一定优势，不过公司此前同样面临算力资源紧张问题。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">值得一提的是，据媒体此前报道，谷歌目前还正在研发一款专门用于运行Gemini模型的新型AI芯片，目标是将运行效率提升最高10倍，进一步降低AI服务成本。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">Google Cloud发言人在声明中表示，公司团队持续探索和测试新技术，以为用户提供更高性能和更高效率的AI服务。虽然并非所有研发项目最终都会投入生产，但这种持续创新正是谷歌全栈AI战略的重要组成部分。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">该发言人表示，通过从底层协同设计硬件与软件，谷歌能够打造高度集成且针对真实工作负载优化的AI系统。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">此外，为回应市场对于产品延期的担忧，谷歌还首次披露了更多产品路线图信息。公司表示，Gemini 3.5 Pro目前已开始向合作伙伴开放测试，为后续全面发布做准备。与此同时，Gemini 4也已启动迄今规模最大的预训练工作。\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">最专业的美股资讯,推荐美股大数据 \u003Ca href=\"https:\u002F\u002FStockwe.com\u002F\">https:\u002F\u002FStockwe.com\u002F\u003C\u002Fa>\u003C\u002Fspan>\u003C\u002Fp>\r\n\u003Cp>\u003Cspan style=\"font-size: large;\">如何识别美股市场异常波动？美国机构主力资金买卖情况，出货和吸筹，使用美股投资网VIP会员，2008年成立于美国硅谷，由前纽约证券交易所分析师Ken创立，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化模型，建立了一个股市数据库 \u003Ca href=\"https:\u002F\u002FStockWe.com\u002F\">https:\u002F\u002FStockWe.com\u002F\u003C\u002Fa> 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buy@TradesMax.com 美国电话 626-378-3637","公司介绍","\u003Cp class=\"MsoNormal\">美股大数据 \u003Ca href=\"https:\u002F\u002Fstockwe.com\" target=\"_blank\" rel=\"noopener\">StockWe.com\u003C\u002Fa> 是一个美国领先的金融和美股信息大数据提供商，紧盯华尔街金融市场和行情，2008年成立于美国硅谷，创始人是前纽约证券交易所资深分析师Ken，联合多位摩根斯坦利分析师，谷歌 Meta工程师利用AI和大数据，配合十多年美股实战经验和业内量化交易模型，每天处理海量股票数据：挖掘潜力大牛股，捕捉期权异动大单，实时主力资金流向、机构持仓变化、川普突发新闻，美股买卖信号第一时间发到您手机APP。\u003C\u002Fp>","专业美股投资者都在这里",{"loading":81,"search":82,"searchPlaceholder":82,"hotContent":83,"draft":84,"noData":85,"searchNoData":86,"edit":87,"editVideo":88,"courseContent":89,"more":90,"buyNow":91,"subscribeNow":92,"encoding":93,"paidContent":94},"Loading...","搜索","热门内容","草稿","目前没有任何内容公布","当前检索内容没有数据","编辑","编辑视频","课程内容","更多","立即购买后观看","- 立即订阅 -","视频编码中...","付费内容"]