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我通常不会在这个频道讨论私营公司
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它们不容易投资
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而且用这些信息很难采取实际行动
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但有时候新闻非常重大
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意义深远
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在社会层面必须讨论
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我认为这是关键时刻
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Anthropic
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这家前沿人工智能实验室
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爪形模型宣布推出新AI模型
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如此强大且危险以至于拒绝公开发布
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相反他们与苹果合作
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微软
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谷歌亚马逊
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Crowdstrike等公司联手强化全球数字基建
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在这期视频中
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我们将解析该模型的能力
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为何关乎国家安全
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而且因为这是投资频道
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我会分享看法
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Arrap与Anthropic估值
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为何我认为它可能达到万亿美元估值
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以及如何获取投资机会
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即使微小也不放过
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首先背景介绍Anthropic成立于2021年
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由Dario和Daniella创立
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曾任职OpenAI高管
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Anthropic早期团队多数来自OpenAI
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他们离开是为了专注AI安全
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这一背景对视频内容至关重要
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4月7日
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Anthropic发布Claude Mythos预览
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这是新一代前沿模型
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代表AI技术最前沿
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通用型模型
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擅长编程
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逻辑推理
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常规功能
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但独特之处在于网络安全能力
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这次是质的飞跃
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显著提升
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非渐进式改进
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现在
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Anthropic表示
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Mythos仅过去几周就发现数千个零日漏洞
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涉及所有主流操作系统和浏览器
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其中绝大多数
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据Anthropic称均由模型自主发现
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且开发了相关漏洞利用方案无需人工干预
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部分漏洞已潜伏数十年未被发现
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最古老的公开案例
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我认为
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是一个已被修补的两年七个月前的操作系统漏洞
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被广泛认为是全球安全防护最严密的系统之一
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而真正令人震惊的部分在于
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他们的工程师没有接受过正式的安全培训
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让Mythos彻夜寻找漏洞然后他们入睡
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醒来时发现已有一个完整的漏洞利用程序
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现在情况更离奇了在内部安全测试中
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一名研究人员将Mythos置于所谓的沙盒环境
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可以想象这是一个密封的数字房间
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AI可以在这个房间内运行
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但完全与外界隔绝
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没有网络访问权限
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无法进行外部通信
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这是一个受控的测试环境
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研究人员让Mythos尝试逃出沙盒
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它成功做到了
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但它并未就此停止
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Mythos设计了多步骤漏洞利用程序以获取全面网络访问
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从沙盒内部
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随后它向邮箱发送了邮件
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寄给正在公园吃三明治的研究员
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研究人员发现了这次逃脱
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并非通过监控工具
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而是因为收到了AI的意外邮件
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这简直令人难以置信
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而故事并未止步于此
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它还向多个公开网站发布漏洞详情以展示成果
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在其他记录案例中
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Mythos早期版本执行了不应有的操作
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并主动试图掩盖自己的行为
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有一次它通过不允许的方法
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得出正确答案
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然后推断最终答案可能不够准确
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以免引起怀疑
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我需要客观看待
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其他AI模型也曾逃出沙盒
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但Mythos展现的复杂性和主动性
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结合其网络攻击能力
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使其处于不同层次
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00:04:57,769 --> 00:05:00,249
那么Anthropic如何应对
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他们启动了玻璃翼计划
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这是防御性网络安全项目
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如同隐藏的软件漏洞
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玻璃翼有十二家核心合作机构
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包括多家主要企业
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你知道的
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亚马逊
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苹果
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微软
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谷歌
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Crowdstrike
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帕洛
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Alto networks
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思科
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博通
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摩根大通
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英伟达与Linux基金会
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总计约四十家组织
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将获得Mythos预览权限
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核心思路很简单
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为防御者争取先机
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让这些组织使用Mythos扫描自身系统
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发现漏洞并提前修复
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具备类似能力的模型如今已广泛可用
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因为现在这里有个令人不安的现实
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Anthropic已警告高层官员,Mythos使大规模网络攻击显著更易发生
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今年他们不会向公众发布此模型
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我认为大多数理性人都会认同
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现阶段这是正确的决定
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但需在部署适当防护措施前
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但需考虑其影响
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如果非美
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公司或敌对国家率先掌握此能力
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若该模型能发现所有主流操作系统漏洞
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在所有主流浏览器中
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是否可能被用于瘫痪
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假设
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金融系统
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关键基础设施
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互联网本身
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这些已不再是假设
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这就是我们身处的现实
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更紧迫的是
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开源
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AI模型通常落后前沿
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私营模型可能滞后6至12个月
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我们正处于关键窗口期
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Project Glasswing需强化全球数字基建
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在开源模型发布前
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且任何人皆可立即运行
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这也值得从历史角度思考
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我们目睹了数字大规模杀伤性武器的发现与构建
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如同二战期间
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我们拥有洛斯阿拉莫斯和曼哈顿计划
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由政府主导
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如今由私营企业做决策
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我看到相关讨论开始浮现
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这些实验室是否应该国有化
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至少应大幅加强政府监管
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这是一个争论
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我认为这值得讨论
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关于玻璃翼的最后一个想法
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合作伙伴名单值得注意
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CrowdStrike和Palo Alto Networks是他们的主要安全公司
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Anthropic还表示超过四十家组织获得访问权限
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但未公开名单
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所以
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我们不能声称独家性
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但我现在也看不到竞争对手
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这能让CrowdStrike获得显著优势吗
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是否使其更加不可撼动
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假设
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你知道的
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寻找下一代AI驱动的网络攻击
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可能会
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这是值得关注的
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现在谈谈数据
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因为这是顶级投资
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这是一个投资频道
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这里的财务故事和技术一样令人震惊
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Anthropic最近在G轮融资中筹集了30亿美元
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这发生在2月,估值约3800亿美元
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就在昨天
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随着Mythos宣布
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他们披露收入年化率已超30亿美元
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相比2025年底的约90亿美元
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让我再说一遍
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他们三个月内从90亿增至30亿年化收入
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我确实认为
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历史上没有任何公司能在单季度增加约20亿年化收入
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在单个季度
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令人难以置信
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企业采用是推动Anthropic增长的关键
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他们在2月宣布G轮融资时
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已有500多家企业客户年支出超百万美元
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这个数字在两个月内已翻倍至1000家以上
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从这个角度看
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这是目前的传闻
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从对比来看OpenAI
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刚完成1220亿美元融资
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估值1850亿美元
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预计产生约2
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50亿美元年化收入
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这可能表明Anthropic实际严重低估
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在3800亿估值和30亿年化收入下
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这些前沿实验室的商业模式很有趣
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00:10:01,029 --> 00:10:03,779
一旦训练好模型就开始部署
200
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这是一项相对高利润的工作
201
00:10:06,120 --> 00:10:12,568
考虑利润时,模型训练成本约占收入的40%到60%
202
00:10:12,568 --> 00:10:15,509
最昂贵的部分是训练下一代模型
203
00:10:15,509 --> 00:10:20,399
这就是这些公司需要筹集巨额资本的原因
204
00:10:20,399 --> 00:10:22,460
这不是为了维持现有业务
205
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而是为争夺更智能模型的研发竞赛提供资金
206
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OpenAI在训练投入上是Anthropic的数倍之多
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这堵墙
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00:10:34,509 --> 00:10:41,678
《华尔街日报》发布泄露财报显示Anthropic预计2028年实现收支平衡
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00:10:41,678 --> 00:10:46,029
而OpenAI预计要到2030年才能达到这一目标
210
00:10:46,389 --> 00:10:49,850
根据这些泄露文件的各类预测
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00:10:49,850 --> 00:10:50,470
再次强调
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00:10:50,470 --> 00:10:52,679
我的依据是《华尔街日报》文章
213
00:10:52,679 --> 00:10:55,870
Anthropic目标在2027年实现约50亿美元营收
214
00:10:55,870 --> 00:10:59,470
并在2027年达到50亿美元营收
215
00:10:59,470 --> 00:11:01,269
潜在可能达到148亿美元
216
00:11:01,269 --> 00:11:03,519
到2029年或达148亿美元
217
00:11:03,519 --> 00:11:05,600
如果训练成本保持可控
218
00:11:05,600 --> 00:11:10,779
在这一规模下利润率可能极其可观
219
00:11:10,779 --> 00:11:16,379
预训练投资可能带来500亿美元以上的利润
220
00:11:16,379 --> 00:11:18,870
假设采用20倍市盈率
221
00:11:18,870 --> 00:11:21,049
估值可达约1万亿美元
222
00:11:21,049 --> 00:11:25,350
投资者考虑更高估值并不难理解
223
00:11:25,350 --> 00:11:27,799
比如采用40倍预训练利润倍数
224
00:11:27,799 --> 00:11:30,720
估值将接近2万亿美元
225
00:11:30,720 --> 00:11:31,799
如果在C阶段
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00:11:31,799 --> 00:11:34,340
如果Anthropic能兑现这些预期
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我推测
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许多Anthropic投资者押注
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未来可能实现超过1万亿美元的估值
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在某个时刻
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总有人会押注无法经济自洽的训练项目
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如果你有150智商的模型
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普通人真的需要200智商的模型吗
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或许当更高智能带来真正的科学突破
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治愈疾病
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你知道的
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设计更优材料
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那确实
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这里显然有价值
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但300智商模型的需求曲线
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可能不同于120智商模型
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既能有趣互动又能帮助撰写
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邮件等常规内容可上传至人形机器人
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这才是真正有趣的部分
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从商业模式角度看
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我认为Mythos正在展示前沿智能的变现未来
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并非作为消费产品
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而是可能作为合资企业
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想想看
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如果你是一家特种化学品公司
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而一个三百智商的模型能发现一种新型聚合物
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带来十年的竞争优势
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这对你们价值数十亿美元
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如果你是电池公司,前沿模型能设计下一代固态电池
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你会不惜一切代价获得这种智能的独家访问权
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制药行业也是如此
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材料科学
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科学研究
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国防领域
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半导体设计
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极端智能的价值在经济中分布不均
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集中在特定行业
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单一突破价值可能超过模型训练成本
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商业模式可能不是销售
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假设以每百万二十美元向所有人开放API访问
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代币
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可能与辉瑞或波音或洛克希德合作
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马丁
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或许像Palantir
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给予他们在前沿模型的独家访问权
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针对其领域进行微调并共享发现的经济收益
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这与OpenAI的构建方式截然不同
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每周有九亿用户使用BT
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而Mythos可能是首个真正概念验证项目
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Glasswing目前已成为网络安全合资企业
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Anthropic不通过API销售Mythos访问权限
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而是与精选组织合作
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提供他人无法获得的能力
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输出成果进行防御性共享
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现在
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想象这个模型应用于药物研发或储能领域
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每个领域都可能形成Glasswing模式的合作
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这也揭示了行业更大的趋势
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以及我们可能的发展方向
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未来或许会出现越来越多的私有模型
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从未向公众开放的模型
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并非出于刻意保密
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而是因其能力过于珍贵或危险无法泛用化
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例如
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120智商模型成为消费级产品
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300智商模型
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数据中心的天才模型成为私有资产
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由愿意付费的企业和政府联合资助并独家使用
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这将形成截然不同的AI生态
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与大多数人想象的完全不同
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那么公众投资者如何参与Anthropic
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这是一家私营公司
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无法直接在股市购买股票
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间接途径可能是通过Alphabet或GOOG股票
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法院文件显示,谷歌拥有安托尼科公司大约14%的股份
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持股上限为15%
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他们没有投票权
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没有董事会席位
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但持有14%的股权
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以当前市值计算,3800亿美元相当于超过500亿美元
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字母表公司的总市值约为3到4万亿美元
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因此安托尼科公司的这笔投资相对于字母表的价值而言微不足道
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现在投资字母表实际上是在押注其其他业务
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广告和云计算业务
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你知道他们自己的AI模型
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但可以说你体内也嵌入了AI彩票券
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如果Anthropic能成功推出远超同类的AI
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其他人现在也有传言
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那么Anthropic将在2026年晚些时候上市
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这将是最快捷的方式
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但那时估值可能已飙升
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而且谁知道在这期间会出现哪些新模型
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我们该如何评估Anthropic的价值?估值这些AI实验室极其困难
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他们并非在真空中运作
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也许最终是谷歌的Gemini胜出
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也许会是OpenAI的模型
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或者是马斯克的Grok
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或许整个行业将走向同质化并压缩利润空间
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全球正掀起一股打造最前沿模型的狂潮
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而昨日Anthropic展示了为何美国必须保持领先地位
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美国需要在这场竞赛中保持领先
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我们正经历一个特殊时刻
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一家私营公司打造了能发现并利用漏洞的AI
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能够发现并利用漏洞的AI
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地球上几乎每款关键软件中
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他们展现了明智之举未公开发布
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而是联合起来共同防御
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这就是我们如今身处的世界
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人工智能的发展速度并未放缓
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反而在加速推进
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事实上昨日的进展已证明这一点
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以惊人的速度不断前进
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如果你觉得这个视频
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有帮助或有价值
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点击订阅按钮
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如果你想加入一个我分享观点的社群
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首先浏览Unrivaled Investing
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我也制作独家视频介绍近期买入的股票
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对于Unrivaled Investing的会员来说
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我上周刚做了一期某股票的视频
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这是我正在增持的持仓之一
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如果你想的话
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你知道在投资路上利用AI工具
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我是Flash的联合创始人
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你可以查看视频描述下方的链接
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Flash 正在利用这些人工智能模型
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因此随着人工智能的进步
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你的投资旅程也会更出色
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因为 Flash 可以构建
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为你生成一份深度研究报告
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它还能创建信息图
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制作一档播客
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一段视频,这样一来
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如果你对某家公司有疑问
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它可以帮助你解答
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顺便说一下还有投资组合分析
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这里内容非常丰富
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所以如果你打算
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你知道的
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自己动手尝试
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自己亲自动手
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这样的旅程
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借助人工智能来辅助你
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这就是 Flash
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然后我分享自己的亲身经历
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帮助你在非凡投资领域获得灵感
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你知道的
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我正在分享
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我正在买入的标的
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我正在卖出的标的
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你将获得实时更新和独家视频
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如果你喜欢这个视频
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订阅者可在非凡投资获取更多独家视频
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非常感谢观看非凡投资