Anthropic声称被Deepseek蒸馏！马斯克为啥怼？

市场资讯02-24

炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！　　来源：第四波　　研究员|冯皓钦　　近日，科技圈有一条争议不小的消息。　　Anthropic 发布声明，指控三家中国AI公司：DeepSeek、Moonshot AI 和 MiniMax对其大模型 Claude 进行大规模“蒸馏”。　　根据披露的数据，对方通过超过2.4万个虚假账号，与Claude进行了约1600...

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Why is Musk fighting?","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"TEST":0.6,"CRSH":0.6,"TSYY":0.6,"TESL":0.6,"TSII":0.6,"TSLY":0.6,"TSL":0.6,"TSLT":0.6,"UFO":0.6,"TSLQ":0.6,"TSLI":0.6,"TSLO":0.6,"TSLL":0.6,"TSLR":0.6,"TLA":0.6,"TSLZ":0.6,"TSLP":0.6,"TSLW":0.6,"TSDD":0.6,"07766":0.6,"TSLG":0.6,"TSLS":0.6},"content_text":"炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 　　来源：第四波\n　　研究员|冯皓钦\n　　近日，科技圈有一条争议不小的消息。\n　　Anthropic 发布声明，指控三家中国AI公司：DeepSeek、Moonshot AI 和 MiniMax对其大模型 Claude 进行大规模“蒸馏”。\n　　根据披露的数据，对方通过超过2.4万个虚假账号，与Claude进行了约1600万次交互，用来抽取模型能力训练自家模型。Anthropic称，这种行为并非正常使用，而是系统化、工业级的能力提取。他们形容为“hydra cluster”，即一个网络同时管理大量账号，请求结构高度重复，集中瞄准推理能力、Agent工具使用、编程与思维链输出等关键能力。\n\n　　Anthropic的帖子\n　　蒸馏是常规技术，争议在于“规模与方式”\n　　所谓“蒸馏”（distillation），是AI领域常见的训练方法。简单来说，就是利用一个性能更强的“教师模型”生成输出数据，再用这些数据训练一个“学生模型”，从而在参数规模更小、成本更低的情况下复现部分能力。\n　　目前在AI训练上，蒸馏被广泛用于模型压缩、轻量化部署以及能力迁移等，这本身并非新技术，也并不带有天然的违规属性。\n\n　　此次争议的焦点在于方式与规模。Anthropic称，这三家公司通过共享支付方式、代理服务和批量化请求结构，系统性抽取Claude在推理能力、思维链输出、Agent工具使用以及编程能力等方面的表现。\n　　具体而言，DeepSeek被指进行超过15万次交互，侧重推理能力与思维链数据；Moonshot AI约340万次交互，聚焦Agent能力与工具调用；MiniMax数量最大，约1300万次交互，集中在Agent编排与工具使用，并被指在新版本发布后迅速切换抽取目标。\n　　Anthropic表示，他们通过行为识别与异常检测模型发现这一模式，并强调这种行为可能削弱模型原有的安全护栏，因此呼吁行业与云服务商采取更严格的防护措施。\n　　舆论分歧与“蒸馏边界”的讨论\n　　不过，争议很快蔓延到舆论层面。\n　　此次事件一出，Elon Musk 在X上隔空抨击Anthropic大规模盗用训练数据，发帖直言， Anthropic 本身也曾因训练数据问题饱受争议，并讽刺称：“你偷来的东西被偷了？”\n\n　　据悉，此前，2023年Elon Musk就曾对Anthropic蒸馏其它大模型公司的数据进行嘲讽。\n\n　　需要指出的是，Anthropic此前确实曾卷入过关于训练数据来源的版权诉讼，并支付了巨额赔偿，目前相关争议仍处于法律与舆论层面的博弈中。\n　　并且就在事件发生不久后，Elon Musk又转载一AI科技业内人士的帖子称，Anthropic公司没有得到任何人的同情。他们利用公共数据构建的封闭模式攫取价值，并招致我们目前所见的监管俘获。他们既想继续利用现有数据，又想通过特殊规则来保护自身利润。并直言到，当技术具有如此颠覆性时，这种模式无疑是有害且具有腐蚀性的。\n\n　　马斯克转载的帖子\n　　围绕本次指控，行业内部也出现不同声音。一部分观点认为，本次争议的重点并不在蒸馏技术本身，而在具体实施方式。如果确实存在大量虚假账号、批量化请求、结构化提取模型核心能力的行为，且绕过服务条款或地区限制，那么问题已超出技术范畴，可能涉及商业合规与不正当竞争。\n　　也有创作者和评论者表达更为情绪化的观点，声称他们并不在乎其它公司对 Claude 进行“蒸馏”的做法。并且有评论认为，大模型本身建立在互联网公开数据之上，训练数据来源长期处于版权争议之中。在这种背景下，再以“能力被蒸馏”为由指责竞争对手，难免被解读为“贼喊抓贼”。如果AI公司可以在未经明确授权的情况下使用互联网内容训练模型，那么当模型能力被“蒸馏”迁移时，批评者的立场显得并不牢固。\n\n　　从商业常识角度看，若存在绕过平台规则、大规模抽取核心能力的行为，确实容易引发争议；但从技术实践看，模型输出是否具备明确、可独占的产权属性，目前尚缺乏清晰的法律标准。\n　　这场黑色幽默之下，问题的关键也指向：蒸馏本身是行业常规技术，用强模型输出训练弱模型，本质上并不罕见。但当规模扩大到数千万次调用、并以虚假账号批量操作时，它究竟是正常竞争，还是违规抽取？\n　　事实上，包括 OpenAI 在内的多家头部企业，也曾在不同场景中采用蒸馏技术进行模型优化。区别在于，内部蒸馏与基于竞品输出训练模型之间，是否存在明确边界，目前仍缺乏统一标准。\n 资料来源： Financial Times\n　　当模型能力可以通过输出被“迁移”时，问题的核心早已不在技术本身，而在规则如何界定：什么属于合理使用，什么构成系统性能力抽取？巨头之间互相蒸馏的边界，仍然有待进一步厘清。\n新浪声明：此消息系转载自新浪合作媒体，新浪网登载此文出于传递更多信息之目的，并不意味着赞同其观点或证实其描述。文章内容仅供参考，不构成投资建议。投资者据此操作，风险自担。\n\n\n海量资讯、精准解读，尽在新浪财经APP\n\n责任编辑：何俊熹","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"isVideo":false,"video":null,"symbols":[],"gpt_button":0,"need_auth":false,"need_login_tip":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)","isDev":false,"isTTM":false,"tenantId":"TBCN","deviceId":"web-server-community-laohu8-v3","version":"4.43.1","shortVersion":"4.43.1","platform":"web","vendor":"web","appName":"laohu8","isIOS":false,"isAndroid":false,"isTiger":false,"isTHS":false,"isWeiXin":false,"isWeiXinMini":false,"isWeiBo":false,"isQQ":false,"isBaiduSwan":false,"isBaiduBox":false,"isDingTalk":false,"isToutiao":false,"isOnePlus":false,"isHuaWei":false,"isXiaomi":false,"isXiaomiWebView":false,"isOppo":false,"isVivo":false,"isSamsung":false,"isMobile":false},"href":"/m/news/2613979811","isCrawlerRequest":true}