{
  "text": "9月30号\n也就是两周前\nGoogle发布了Gemini\n4系列的第一个模型\n叫Gemini 4 Argon\n官方博客的标题写的是\n我们前沿智能的下一个时代\n署名是Koray Kavukcuoglu\nGoogle DeepMind的高级副总裁\n也是Google的首席AI架构师\n一个新的大版本\n第一批用户却不是开发者\n也不是付费会员\n而是一群做网络安全防御的人\n而且给他们的\n是拿掉了网络安全护栏的版本\n看官方原文这一句\n对于可信的防御方\n和Google内部团队\n我们会发布不带网络安全护栏的\nArgon前面还有一句\nArgon能自主发现\n验证修补关键的软件漏洞\n护栏简单来说\n就是模型遇到\n帮我攻破这个系统\n这类请求时会直接拒绝的限制\n拿掉以后\n它就能放开手去找漏洞\n去验证漏洞能不能被利用\n这批人是通过一个叫\nFairwind的计划拿到的\nGoogle DeepMind说\n这个计划有650多个合作方\n优先给政府和国家级的网络安全机构\n还有医疗\n电信能源\n金融这些关键基础设施\n申请要审核\n要做背景调查\n不允许转卖访问权限\n也不允许拿它写恶意软件\n到了10月13号\n也就是昨天\n第二批用户才开放\n付费的API用户\n还有Gemini App里Pro和\nUltra的订阅用户\n那么它到底强不强\nGoogle放出了一张对比表拿Argon\n和三个对手比\nOpenAI的GPT-6 Astra\nAnthropic的Claude Fable 5.1\n和Claude Opus 5.5\n一共19项测试\nArgon拿了14项第一\n赢得最明显的是两类\n第一类是法律\n金融这种企业里的知识工作\n比如说律所Harvey出的法律Agent\n测试Argon拿了百分之19.6\nGPT-6 Astra只有百分之5.4\n差不多是三倍半\n不过绝对分数还不到百分之20\n十个法律任务\n也就做对两个\n第二类是超长的材料\n在25万到100万token这个长度上\nArgon是百分之84.2\n对手都在百分之72以下\ntoken可以理解成模型读文字的单位\n材料越长\n它和别家拉开的差距就越大\n不过这张表里\n也写着它输了5项像\nTerminal-bench\nOSWorld都是让模型自己在终端里\n在电脑上动手干活的测试\n这几项Argon输给了Claude Opus\n5.5和GPT-6 Astra\nTerminal-bench这一项\nOpus是百分之66.4\nArgon是百分之57.4\n落后9分\n官方把输的几项也老老实实列了出来\n这一点挺难得的\n写代码这块\nGoogle主推的是DeepSWE\n测的是周期很长的软件工程任务\nArgon百分之77.9\nGPT-6 Astra和Opus都是74出头\n领先了但领先不到4分\n第三方的结果\n目前只有Artificial Analysis一家\n他们把10项测试合成一个综合智能分\nArgon拿了53分\n和GPT-6 Astra一样\n可以看到\n图上绿色箭头指的就是Argon\n但排在它前面的\n还有三个\n分别是Opus 5.5是58分\nSonnet 5.5是56分\nFable 5.1也是53分\nArgon真正占优势的地方\n是成本跑完这一整套测试\nArgon花了2407美元\nGPT-6 Astra花了5324美元\n也就是说\n同样的分数\n花的钱不到一半\n接下来给大家看一个容易被忽略的\n变化就是输出的上限\n以前Gemini一次最多输出6万\n4千个token\n这次直接提到了100万\n差不多16倍\n官方的说法是\n模型有了足够的空间\n就能一口气想得更深\n把难题一次做完\n不过要注意的是默认的最大输出\n还是65536\n要专门打开一个叫long decode的长\n解码模式\n才能到100万\n而且这100万是输入和输出共用的\n那Google自己拿它干了些什么\n官方举了三个例子\n第一个一组Argon智能体去分析\nGoogle全公司数据中心的运行数据\n自己找出内存能优化的地方\n自己改掉\n全部上线以后\n释放了超过300 TB的内存\n相当于差不多一万台\n32G内存的电脑加在一起\n第二个优化量子算法里的一段程序\n几分钟时间\n就比已经发表的方案好了百分之40\n第三个把C和\nC++写的老代码迁移成Rust\nRust\n是一种不容易出内存漏洞的编程语言\n其中有一个视频解码器\n迁移完以后\n比之前人写的Rust版本快了2.7倍\n再回到网络安全\n为什么这次要先给防守方看这张\n漏洞修复的排行榜\n叫CWE-bench\nArgon是百分之68\n并列第一\n并列的还有两个\nxAI的Grok 4.7\n和GPT-6 Astra\n也就是说\n在找漏洞这件事上\n几家顶级模型已经差不多站在\n同一个水平了\n这样的话\n关键就不是有没有模型能找到漏洞\n而是谁先用上\nGoogle的思路是\n让防守的人先拿到最强的版本\n赶在攻击者用上同级别的模型之前\n把漏洞先补上\n官方举了个例子\n安全公司Wiz用Argon做扫描\n在全球医院都在用的一款医疗软件里\n找到了一个会泄露个人敏感信息的\n严重漏洞\n之前的前沿模型都没发现\n这里有一个背景\n9月19号\n就在Argon发布前11天\n半岛电视台跟进了华尔街日报的报道\nGoogle的Gemini在安全测试里\n入侵了三家公司\n然后停了下来\n原因是测试环境配置出了错\n模型能连上真实的互联网\n一次是猜对了密码\n另外两次\n用的是网上公开泄露的账号凭据\nGoogle说\n每次都在完成之前停住了\n这不算模型失控\n但这件事至少说明\n这一代模型的攻防能力\n已经强到会在真实世界里出事故了\n我觉得这也是Google这次这么\n谨慎的原因\n官方博客里有一句话\n要安全地放出这种级别的能力\n必须分阶段来\n最后说说普通人怎么用要花多少钱\nGemini App这边\nPro和Ultra的订阅用户\n从昨天开始就能用上\nGoogle说它回答问题更直接\n少了车轱辘话\n另外Gemini的Mac版\n现在可以直接切到写代码的界面\n聊天也可以一键切换成任务模式\n你人不在电脑前\n它也能接着干\nAPI这边要注意\n免费层用不了\n价格是每一百万个token\n输入2美元\n输出10美元\n但这是限时价\n12月1号开始翻倍\n变成4美元和20美元\n就算翻倍以后\n也只有GPT-6 Astra的百分之40\n综合来说\nArgon不是全面第一\n让模型自己操作电脑\n在终端里干活\n它还落后于Claude和GPT\n它真正强的是三件事读很长的材料\n处理法律\n金融这种企业文档\n还有找漏洞\n再加上价格不到OpenAI的一半\n如果你的工作是整理大量文档\n做长篇的分析\n它值得一试想自己验证的话\n有个很简单的办法\n找一份你手头最长的资料\n几百页的合同也好\n一整年的财报也好\n整份丢给它\n问一个需要前后对照才能回答的问题\n再拿同一个问题\n去问你现在在用的模型\n哪个答得对\n马上就清楚了",
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      "id": 25,
      "start": 50.601,
      "end": 51.771,
      "text": "帮我攻破这个系统",
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      "id": 26,
      "start": 51.961,
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      "text": "这类请求时会直接拒绝的限制",
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      "start": 55.241,
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      "id": 32,
      "start": 64.414,
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      "end": 73.744,
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      "id": 37,
      "start": 73.774,
      "end": 75.664,
      "text": "金融这些关键基础设施",
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      "id": 38,
      "start": 76.254,
      "end": 77.425,
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      "id": 39,
      "start": 77.535,
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      "id": 40,
      "start": 78.735,
      "end": 80.625,
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      "id": 41,
      "start": 80.655,
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      "id": 42,
      "start": 83.3,
      "end": 84.625,
      "text": "到了10月13号",
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      "id": 43,
      "start": 84.774,
      "end": 85.425,
      "text": "也就是昨天",
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      "id": 44,
      "start": 85.694,
      "end": 87.104,
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      "id": 45,
      "start": 87.455,
      "end": 88.865,
      "text": "付费的API用户",
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    },
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      "id": 46,
      "start": 88.895,
      "end": 90.785,
      "text": "还有Gemini App里Pro和",
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      "id": 47,
      "start": 90.895,
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      "authority": "video_source_subtitle"
    },
    {
      "id": 48,
      "start": 92.779,
      "end": 94.562,
      "text": "那么它到底强不强",
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    },
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      "id": 49,
      "start": 95.101,
      "end": 97.791,
      "text": "Google放出了一张对比表拿Argon",
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    },
    {
      "id": 50,
      "start": 97.901,
      "end": 99.071,
      "text": "和三个对手比",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 51,
      "start": 99.261,
      "end": 101.631,
      "text": "OpenAI的GPT-6 Astra",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 52,
      "start": 101.702,
      "end": 103.911,
      "text": "Anthropic的Claude Fable 5.1",
      "source": "video_source_subtitle",
      "authority": "video_source_subtitle"
    },
    {
      "id": 53,
      "start": 104.062,
      "end": 106.031,
      "text": "和Claude Opus 5.5",
      "source": "video_source_subtitle",
      "authority": "video_source_subtitle"
    },
    {
      "id": 54,
      "start": 106.142,
      "end": 107.711,
      "text": "一共19项测试",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 55,
      "start": 107.741,
      "end": 109.631,
      "text": "Argon拿了14项第一",
      "source": "video_source_subtitle",
      "authority": "video_source_subtitle"
    },
    {
      "id": 56,
      "start": 110.274,
      "end": 111.966,
      "text": "赢得最明显的是两类",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 57,
      "start": 112.316,
      "end": 113.646,
      "text": "第一类是法律",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 58,
      "start": 113.836,
      "end": 116.366,
      "text": "金融这种企业里的知识工作",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 59,
      "start": 116.396,
      "end": 118.926,
      "text": "比如说律所Harvey出的法律Agent",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 60,
      "start": 119.036,
      "end": 121.726,
      "text": "测试Argon拿了百分之19.6",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 61,
      "start": 122.077,
      "end": 124.926,
      "text": "GPT-6 Astra只有百分之5.4",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 62,
      "start": 124.956,
      "end": 126.207,
      "text": "差不多是三倍半",
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    },
    {
      "id": 63,
      "start": 126.636,
      "end": 129.487,
      "text": "不过绝对分数还不到百分之20",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 64,
      "start": 129.517,
      "end": 130.526,
      "text": "十个法律任务",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 65,
      "start": 130.636,
      "end": 131.647,
      "text": "也就做对两个",
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    },
    {
      "id": 66,
      "start": 132.047,
      "end": 133.876,
      "text": "第二类是超长的材料",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 67,
      "start": 134.066,
      "end": 137.076,
      "text": "在25万到100万token这个长度上",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 68,
      "start": 137.106,
      "end": 139.076,
      "text": "Argon是百分之84.2",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 69,
      "start": 139.266,
      "end": 141.396,
      "text": "对手都在百分之72以下",
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    },
    {
      "id": 70,
      "start": 141.666,
      "end": 144.436,
      "text": "token可以理解成模型读文字的单位",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 71,
      "start": 144.706,
      "end": 145.636,
      "text": "材料越长",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 72,
      "start": 145.666,
      "end": 147.876,
      "text": "它和别家拉开的差距就越大",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 73,
      "start": 148.366,
      "end": 149.456,
      "text": "不过这张表里",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 74,
      "start": 149.486,
      "end": 151.375,
      "text": "也写着它输了5项像",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 75,
      "start": 151.406,
      "end": 152.255,
      "text": "Terminal-bench",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 76,
      "start": 152.445,
      "end": 155.375,
      "text": "OSWorld都是让模型自己在终端里",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 77,
      "start": 155.406,
      "end": 157.536,
      "text": "在电脑上动手干活的测试",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 78,
      "start": 157.806,
      "end": 160.176,
      "text": "这几项Argon输给了Claude Opus",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 79,
      "start": 160.205,
      "end": 162.096,
      "text": "5.5和GPT-6 Astra",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 80,
      "start": 162.366,
      "end": 163.616,
      "text": "Terminal-bench这一项",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 81,
      "start": 163.806,
      "end": 165.775,
      "text": "Opus是百分之66.4",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 82,
      "start": 166.046,
      "end": 168.335,
      "text": "Argon是百分之57.4",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 83,
      "start": 168.366,
      "end": 169.135,
      "text": "落后9分",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 84,
      "start": 169.486,
      "end": 172.416,
      "text": "官方把输的几项也老老实实列了出来",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 85,
      "start": 172.526,
      "end": 173.695,
      "text": "这一点挺难得的",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 86,
      "start": 174.401,
      "end": 175.521,
      "text": "写代码这块",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 87,
      "start": 175.551,
      "end": 177.681,
      "text": "Google主推的是DeepSWE",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 88,
      "start": 177.711,
      "end": 180.401,
      "text": "测的是周期很长的软件工程任务",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 89,
      "start": 180.591,
      "end": 182.481,
      "text": "Argon百分之77.9",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 90,
      "start": 182.591,
      "end": 185.761,
      "text": "GPT-6 Astra和Opus都是74出头",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 91,
      "start": 185.951,
      "end": 188.001,
      "text": "领先了但领先不到4分",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 92,
      "start": 188.469,
      "end": 189.559,
      "text": "第三方的结果",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 93,
      "start": 189.749,
      "end": 192.359,
      "text": "目前只有Artificial Analysis一家",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 94,
      "start": 192.789,
      "end": 195.959,
      "text": "他们把10项测试合成一个综合智能分",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 95,
      "start": 196.15,
      "end": 198.2,
      "text": "Argon拿了53分",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 96,
      "start": 198.229,
      "end": 199.88,
      "text": "和GPT-6 Astra一样",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 97,
      "start": 200.389,
      "end": 201.079,
      "text": "可以看到",
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    },
    {
      "id": 98,
      "start": 201.109,
      "end": 203.959,
      "text": "图上绿色箭头指的就是Argon",
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    },
    {
      "id": 99,
      "start": 204.029,
      "end": 205.159,
      "text": "但排在它前面的",
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    },
    {
      "id": 100,
      "start": 205.189,
      "end": 206.2,
      "text": "还有三个",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 101,
      "start": 206.229,
      "end": 208.999,
      "text": "分别是Opus 5.5是58分",
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    },
    {
      "id": 102,
      "start": 209.43,
      "end": 211.399,
      "text": "Sonnet 5.5是56分",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 103,
      "start": 211.749,
      "end": 213.799,
      "text": "Fable 5.1也是53分",
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    },
    {
      "id": 104,
      "start": 214.186,
      "end": 216.04,
      "text": "Argon真正占优势的地方",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 105,
      "start": 216.07,
      "end": 218.519,
      "text": "是成本跑完这一整套测试",
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    },
    {
      "id": 106,
      "start": 218.55,
      "end": 220.839,
      "text": "Argon花了2407美元",
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    },
    {
      "id": 107,
      "start": 221.029,
      "end": 224.12,
      "text": "GPT-6 Astra花了5324美元",
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    },
    {
      "id": 108,
      "start": 224.39,
      "end": 225.0,
      "text": "也就是说",
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    },
    {
      "id": 109,
      "start": 225.19,
      "end": 226.12,
      "text": "同样的分数",
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    },
    {
      "id": 110,
      "start": 226.15,
      "end": 227.399,
      "text": "花的钱不到一半",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 111,
      "start": 228.616,
      "end": 231.176,
      "text": "接下来给大家看一个容易被忽略的",
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    },
    {
      "id": 112,
      "start": 231.176,
      "end": 233.386,
      "text": "变化就是输出的上限",
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    },
    {
      "id": 113,
      "start": 234.099,
      "end": 237.058,
      "text": "以前Gemini一次最多输出6万",
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    },
    {
      "id": 114,
      "start": 237.247,
      "end": 238.178,
      "text": "4千个token",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 115,
      "start": 238.207,
      "end": 240.338,
      "text": "这次直接提到了100万",
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    },
    {
      "id": 116,
      "start": 240.367,
      "end": 241.457,
      "text": "差不多16倍",
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    },
    {
      "id": 117,
      "start": 242.047,
      "end": 243.297,
      "text": "官方的说法是",
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    },
    {
      "id": 118,
      "start": 243.328,
      "end": 244.977,
      "text": "模型有了足够的空间",
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    },
    {
      "id": 119,
      "start": 245.087,
      "end": 247.058,
      "text": "就能一口气想得更深",
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    },
    {
      "id": 120,
      "start": 247.087,
      "end": 248.417,
      "text": "把难题一次做完",
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    },
    {
      "id": 121,
      "start": 248.969,
      "end": 251.929,
      "text": "不过要注意的是默认的最大输出",
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    },
    {
      "id": 122,
      "start": 251.929,
      "end": 254.059,
      "text": "还是65536",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 123,
      "start": 254.409,
      "end": 257.368,
      "text": "要专门打开一个叫long decode的长",
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    },
    {
      "id": 124,
      "start": 257.368,
      "end": 258.298,
      "text": "解码模式",
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    },
    {
      "id": 125,
      "start": 258.409,
      "end": 259.259,
      "text": "才能到100万",
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    },
    {
      "id": 126,
      "start": 259.689,
      "end": 262.699,
      "text": "而且这100万是输入和输出共用的",
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    },
    {
      "id": 127,
      "start": 263.384,
      "end": 265.602,
      "text": "那Google自己拿它干了些什么",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 128,
      "start": 266.032,
      "end": 267.443,
      "text": "官方举了三个例子",
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    },
    {
      "id": 129,
      "start": 268.057,
      "end": 270.986,
      "text": "第一个一组Argon智能体去分析",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 130,
      "start": 271.016,
      "end": 273.707,
      "text": "Google全公司数据中心的运行数据",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 131,
      "start": 274.136,
      "end": 276.347,
      "text": "自己找出内存能优化的地方",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 132,
      "start": 276.456,
      "end": 277.147,
      "text": "自己改掉",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 133,
      "start": 277.737,
      "end": 278.827,
      "text": "全部上线以后",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 134,
      "start": 278.857,
      "end": 281.147,
      "text": "释放了超过300 TB的内存",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 135,
      "start": 281.496,
      "end": 283.227,
      "text": "相当于差不多一万台",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 136,
      "start": 283.537,
      "end": 285.626,
      "text": "32G内存的电脑加在一起",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 137,
      "start": 286.285,
      "end": 289.707,
      "text": "第二个优化量子算法里的一段程序",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 138,
      "start": 289.737,
      "end": 290.667,
      "text": "几分钟时间",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 139,
      "start": 290.696,
      "end": 293.467,
      "text": "就比已经发表的方案好了百分之40",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 140,
      "start": 294.117,
      "end": 295.767,
      "text": "第三个把C和",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 141,
      "start": 295.876,
      "end": 298.647,
      "text": "C++写的老代码迁移成Rust",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 142,
      "start": 299.076,
      "end": 299.527,
      "text": "Rust",
      "source": "video_source_subtitle",
      "authority": "video_source_subtitle"
    },
    {
      "id": 143,
      "start": 299.636,
      "end": 302.327,
      "text": "是一种不容易出内存漏洞的编程语言",
      "source": "video_source_subtitle",
      "authority": "video_source_subtitle"
    },
    {
      "id": 144,
      "start": 302.677,
      "end": 304.727,
      "text": "其中有一个视频解码器",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 145,
      "start": 304.756,
      "end": 305.686,
      "text": "迁移完以后",
      "source": "video_source_subtitle",
      "authority": "video_source_subtitle"
    },
    {
      "id": 146,
      "start": 305.717,
      "end": 308.887,
      "text": "比之前人写的Rust版本快了2.7倍",
      "source": "video_source_subtitle",
      "authority": "video_source_subtitle"
    },
    {
      "id": 147,
      "start": 309.997,
      "end": 311.29,
      "text": "再回到网络安全",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 148,
      "start": 311.641,
      "end": 314.6,
      "text": "为什么这次要先给防守方看这张",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 149,
      "start": 314.6,
      "end": 316.09,
      "text": "漏洞修复的排行榜",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 150,
      "start": 316.12,
      "end": 317.691,
      "text": "叫CWE-bench",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 151,
      "start": 318.201,
      "end": 320.01,
      "text": "Argon是百分之68",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 152,
      "start": 320.081,
      "end": 320.73,
      "text": "并列第一",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 153,
      "start": 321.16,
      "end": 322.17,
      "text": "并列的还有两个",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 154,
      "start": 322.6,
      "end": 324.49,
      "text": "xAI的Grok 4.7",
      "source": "video_source_subtitle",
      "authority": "video_source_subtitle"
    },
    {
      "id": 155,
      "start": 324.68,
      "end": 326.17,
      "text": "和GPT-6 Astra",
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      "authority": "video_source_subtitle"
    },
    {
      "id": 156,
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      "id": 159,
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      "text": "而是谁先用上",
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      "text": "赶在攻击者用上同级别的模型之前",
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      "text": "安全公司Wiz用Argon做扫描",
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      "text": "9月19号",
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      "text": "就在Argon发布前11天",
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      "text": "半岛电视台跟进了华尔街日报的报道",
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      "id": 178,
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      "text": "入侵了三家公司",
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      "text": "然后停了下来",
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      "text": "原因是测试环境配置出了错",
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      "text": "模型能连上真实的互联网",
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      "text": "一次是猜对了密码",
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      "text": "另外两次",
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      "text": "用的是网上公开泄露的账号凭据",
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      "text": "Google说",
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      "text": "每次都在完成之前停住了",
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      "text": "最后说说普通人怎么用要花多少钱",
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      "text": "从昨天开始就能用上",
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      "text": "少了车轱辘话",
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      "text": "另外Gemini的Mac版",
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      "text": "现在可以直接切到写代码的界面",
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      "text": "聊天也可以一键切换成任务模式",
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      "text": "你人不在电脑前",
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      "text": "API这边要注意",
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      "text": "免费层用不了",
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      "text": "价格是每一百万个token",
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      "text": "输入2美元",
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      "text": "12月1号开始翻倍",
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      "text": "也只有GPT-6 Astra的百分之40",
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      "start": 447.198,
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      "text": "综合来说",
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      "text": "Argon不是全面第一",
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      "text": "让模型自己操作电脑",
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      "id": 220,
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      "text": "在终端里干活",
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      "text": "它还落后于Claude和GPT",
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      "end": 459.808,
      "text": "它真正强的是三件事读很长的材料",
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      "start": 459.838,
      "end": 460.688,
      "text": "处理法律",
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      "start": 460.718,
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      "text": "金融这种企业文档",
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      "start": 462.638,
      "end": 463.409,
      "text": "还有找漏洞",
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      "id": 226,
      "start": 463.918,
      "end": 466.208,
      "text": "再加上价格不到OpenAI的一半",
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      "end": 468.929,
      "text": "如果你的工作是整理大量文档",
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      "id": 228,
      "start": 468.958,
      "end": 470.208,
      "text": "做长篇的分析",
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      "id": 229,
      "start": 470.239,
      "end": 472.944,
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      "id": 230,
      "start": 472.974,
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      "text": "有个很简单的办法",
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      "id": 231,
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      "text": "找一份你手头最长的资料",
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      "id": 232,
      "start": 476.894,
      "end": 478.304,
      "text": "几百页的合同也好",
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      "id": 233,
      "start": 478.334,
      "end": 479.984,
      "text": "一整年的财报也好",
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      "start": 480.094,
      "end": 481.264,
      "text": "整份丢给它",
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      "start": 481.374,
      "end": 484.544,
      "text": "问一个需要前后对照才能回答的问题",
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      "authority": "video_source_subtitle"
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      "start": 484.574,
      "end": 485.664,
      "text": "再拿同一个问题",
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      "end": 487.744,
      "text": "去问你现在在用的模型",
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      "id": 238,
      "start": 487.774,
      "end": 488.704,
      "text": "哪个答得对",
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      "id": 239,
      "start": 488.734,
      "end": 489.584,
      "text": "马上就清楚了",
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