{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T06:40:50.084Z","headline":"一个随机数就能识别AI模型身份：行为指纹技术可检测API中转站偷换模型","description":"布拉格经济大学研究员托马什·布鲁克纳发现，通过让模型反复输出1到100的随机数，可生成独一无二的\"行为指纹\"。对165个模型各问30次后发现，GPT-4o偏爱42和37，Claude Sonnet 5疯狂输出47，Qwen3-Max则30次全部回答42。该方法仅需约120条请求即可识别模型身份，错误率约10.6%，为验证API是否被偷换模型提供了轻量级方案。","url":"https://www.aioga.com/news/cmrtyvkng3voibihzero6pry1/","mainEntityOfPage":"https://www.aioga.com/news/cmrtyvkng3voibihzero6pry1/","datePublished":"2026-07-21T01:10:49.000Z","dateModified":"2026-07-21T01:10:49.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://mp.weixin.qq.com/s/pqFZreEZj8kB4KDirl4MSQ","https://aihot.virxact.com/items/cmrtyvkng3voibihzero6pry1"],"canonicalUrl":"https://www.aioga.com/news/cmrtyvkng3voibihzero6pry1/","directAnswer":{"@type":"Answer","text":"研究员托马什·布鲁克纳通过让模型反复输出1至100的随机数，提取不同模型的回答偏好，并将其作为识别模型身份的“行为指纹”。","url":"https://www.aioga.com/news/cmrtyvkng3voibihzero6pry1/","dateCreated":"2026-07-21T01:10:49.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"公众号：数字生命卡兹克 source article","url":"https://mp.weixin.qq.com/s/pqFZreEZj8kB4KDirl4MSQ","datePublished":"2026-07-21T01:10:49.000Z","provider":{"@type":"Organization","name":"公众号：数字生命卡兹克","url":"https://mp.weixin.qq.com/s/pqFZreEZj8kB4KDirl4MSQ"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrtyvkng3voibihzero6pry1","datePublished":"2026-07-21T01:10:49.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrtyvkng3voibihzero6pry1"}}],"aggregationSource":"公众号：数字生命卡兹克","originalPublisher":{"name":"公众号：数字生命卡兹克","url":"https://mp.weixin.qq.com/s/pqFZreEZj8kB4KDirl4MSQ"},"article":{"id":"cmrtyvkng3voibihzero6pry1","slug":"cmrtyvkng3voibihzero6pry1","url":"https://www.aioga.com/news/cmrtyvkng3voibihzero6pry1/","title":"一个随机数就能识别AI模型身份：行为指纹技术可检测API中转站偷换模型","title_en":"AI说不出的随机数，成了鉴别套壳大模型最好的照妖镜。","summary":"布拉格经济大学研究员托马什·布鲁克纳发现，通过让模型反复输出1到100的随机数，可生成独一无二的\"行为指纹\"。对165个模型各问30次后发现，GPT-4o偏爱42和37，Claude Sonnet 5疯狂输出47，Qwen3-Max则30次全部回答42。该方法仅需约120条请求即可识别模型身份，错误率约10.6%，为验证API是否被偷换模型提供了轻量级方案。","source":"公众号：数字生命卡兹克","sourceUrl":"https://mp.weixin.qq.com/s/pqFZreEZj8kB4KDirl4MSQ","aiHotUrl":"https://aihot.virxact.com/items/cmrtyvkng3voibihzero6pry1","publishedAt":"2026-07-21T01:10:49.000Z","category":"技巧观点","score":64,"selected":true,"articleBody":["布拉格经济大学研究员托马什·布鲁克纳发现，通过让模型反复输出1到100的随机数，可生成独一无二的\"行为指纹\"。","对165个模型各问30次后发现，GPT-4o偏爱42和37，Claude Sonnet 5疯狂输出47，Qwen3-Max则30次全部回答42。","该方法仅需约120条请求即可识别模型身份，错误率约10.6%，为验证API是否被偷换模型提供了轻量级方案。"],"articleImages":[],"mediaStatus":"none","articleBodyZh":[],"translationStatus":"","bodyOrigin":"summary-fallback","editorial":{"summary":"研究员托马什·布鲁克纳通过让模型反复输出1至100的随机数，提取不同模型的回答偏好，并将其作为识别模型身份的“行为指纹”。","background":"材料称，研究对165个模型各提问30次，观察到GPT-4o偏爱42和37，Claude Sonnet 5常输出47，Qwen3-Max的30次回答均为42。","viewpoint":"Aioga判断，这种方法的价值在于用较简单的重复请求辅助核验API背后的模型身份，但约10.6%的错误率意味着结果不能被视为确定性证明。","implications":"该方法可能为识别API中转服务是否更换模型提供轻量级线索。值得关注的是，材料仅说明随机数回答偏好，未说明其在更多调用环境中的稳定性。","nextStep":"建议按材料所述约120条请求进行重复测试，并结合错误率审慎解释结果。进一步应用前，值得关注不同模型、不同时间与不同接口条件下的复现情况。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-23T02:49:38.917Z","sourceHash":"215a916edb9089f8","review":{"approved":true,"groundedness":94,"clarity":91,"duplicationRisk":28,"blockingIssues":[],"notes":["“约10.6%的错误率意味着结果不能被视为确定性证明”属于基于来源数据作出的合理判断，且已明确标注为“Aioga判断”。","关于不同时间、接口条件下稳定性与复现情况的表述属于审慎建议，来源材料未直接验证这些因素，但候选内容没有将其冒充既定事实。","“约120条请求”与“对165个模型各提问30次”分别描述识别所需请求量和研究观察设置，建议发布时保持当前区分，避免读者误以为两者是同一实验步骤。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["技巧观点","公众号：数字生命卡兹克"],"translations":{"zh-CN":{"title":"一个随机数就能识别AI模型身份：行为指纹技术可检测API中转站偷换模型","summary":"布拉格经济大学研究员托马什·布鲁克纳发现，通过让模型反复输出1到100的随机数，可生成独一无二的\"行为指纹\"。对165个模型各问30次后发现，GPT-4o偏爱42和37，Claude Sonnet 5疯狂输出47，Qwen3-Max则30次全部回答42。该方法仅需约120条请求即可识别模型身份，错误率约10.6%，为验证API是否被偷换模型提供了轻量级方案。","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"一个随机数就能识别AI模型身份：行为指纹技术可检测API中转站偷换模型 - Aioga AI资讯","description":"布拉格经济大学研究员托马什·布鲁克纳发现，通过让模型反复输出1到100的随机数，可生成独一无二的\"行为指纹\"。对165个模型各问30次后发现，GPT-4o偏爱42和37，Claude Sonnet 5疯狂输出47，Qwen3-Max则30次全部回答42。该方法仅需约120条请求即可识别模型身份，错误率约10.6%，为验证API是否被偷换模型提供了轻量级方案。","url":"https://www.aioga.com/news/cmrtyvkng3voibihzero6pry1/"},"en":{"title":"A single random number can identify the identity of an AI model: behavioral fingerprinting technology can detect model swapping in API relay stations","summary":"Tomas Bruckner, a researcher at the Prague University of Economics, discovered that by having a model repeatedly output random numbers from 1 to 100, a unique 'behavioral fingerprint' can be generated. After asking 165 models 30 times each, it was found that GPT-4o favors 42 and 37, Claude Sonnet 5 wildly outputs 47, and Qwen3-Max answered 42 all 30 times. This method only requires about 120 requests to identify a model, with an error rate of about 10.6%, providing a lightweight solution for verifying whether an API has had its model swapped.","category":"Insights","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"A single random number can identify the identity of an AI model: behavioral fingerprinting technology can detect model swapping in API relay stations - Aioga AI News","description":"Tomas Bruckner, a researcher at the Prague University of Economics, discovered that by having a model repeatedly output random numbers from 1 to 100, a unique 'behavioral fingerpri...","url":"https://www.aioga.com/en/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:25:14.142Z"},"ja":{"title":"1つのランダムな数だけでAIモデルの身元を識別できる：行動指紋技術でAPI中継ステーションのモデルすり替えを検出可能","summary":"プラハ経済大学の研究者トマシュ・ブルクナーは、モデルに1から100までのランダムな数を繰り返し出力させることで、独自の「行動指紋」を作成できることを発見した。165のモデルにそれぞれ30回質問したところ、GPT-4oは42と37を好み、Claude Sonnet 5はひたすら47を出力し、Qwen3-Maxは30回すべて42と答えた。この方法は約120回のリクエストでモデルの識別が可能で、誤差率は約10.6%であり、APIがモデルをすり替えられていないかを検証する軽量な方法を提供する。","category":"ヒントと視点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"1つのランダムな数だけでAIモデルの身元を識別できる：行動指紋技術でAPI中継ステーションのモデルすり替えを検出可能 - Aioga AIニュース","description":"プラハ経済大学の研究者トマシュ・ブルクナーは、モデルに1から100までのランダムな数を繰り返し出力させることで、独自の「行動指紋」を作成できることを発見した。165のモデルにそれぞれ30回質問したところ、GPT-4oは42と37を好み、Claude Sonnet 5はひたすら47を出力し、Qwen3-Maxは30回すべて42と答えた。この方法は約120回のリ...","url":"https://www.aioga.com/ja/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:25:34.175Z"},"ko":{"title":"하나의 랜덤 숫자만으로 AI 모델의 정체를 식별할 수 있다: 행동 지문 기술로 API 중계 서버의 모델 교체를 감지할 수 있다","summary":"프라하 경제대학교 연구원 토마시 브루크너는 모델에게 1에서 100까지의 랜덤 숫자를 반복적으로 출력하게 함으로써 독특한 '행동 지문'을 생성할 수 있음을 발견했다. 165개의 모델에 각각 30번씩 질문한 결과, GPT-4o는 42와 37을 선호하고, Claude Sonnet 5는 47을 미친 듯이 출력하며, Qwen3-Max는 30번 모두 42로 답했다. 이 방법은 약 120개의 요청만으로 모델의 신원을 식별할 수 있으며, 오류율은 약 10.6%로, API가 다른 모델로 바뀌었는지 검증하는 경량화된 방법을 제공한다.","category":"인사이트","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"하나의 랜덤 숫자만으로 AI 모델의 정체를 식별할 수 있다: 행동 지문 기술로 API 중계 서버의 모델 교체를 감지할 수 있다 - Aioga AI 뉴스","description":"프라하 경제대학교 연구원 토마시 브루크너는 모델에게 1에서 100까지의 랜덤 숫자를 반복적으로 출력하게 함으로써 독특한 '행동 지문'을 생성할 수 있음을 발견했다. 165개의 모델에 각각 30번씩 질문한 결과, GPT-4o는 42와 37을 선호하고, Claude Sonnet 5는 47을 미친 듯이 출력하며, Qwen3-M...","url":"https://www.aioga.com/ko/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:26:18.916Z"},"es":{"title":"Un número aleatorio puede identificar la identidad del modelo de IA: la tecnología de huella de comportamiento puede detectar el cambio de modelo en estaciones intermedias de API","summary":"El investigador de la Universidad de Economía de Praga, Tomáš Bruckner, descubrió que, al hacer que el modelo genere repetidamente números aleatorios del 1 al 100, se puede crear una \"huella de comportamiento\" única. Después de preguntar 30 veces a 165 modelos, se encontró que GPT-4o prefería el 42 y el 37, Claude Sonnet 5 generaba locamente el 47, y Qwen3-Max respondía 42 en las 30 ocasiones. Este método solo requiere unos 120 pedidos aproximadamente para identificar la identidad del modelo, con una tasa de error de alrededor del 10,6%, ofreciendo una solución ligera para verificar si la API ha sido cambiada de modelo.","category":"Ideas","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Un número aleatorio puede identificar la identidad del modelo de IA: la tecnología de huella de comportamiento puede detectar el cambio de modelo en estaciones intermedias de API - Aioga Noticias de IA","description":"El investigador de la Universidad de Economía de Praga, Tomáš Bruckner, descubrió que, al hacer que el modelo genere repetidamente números aleatorios del 1 al 100, se puede crear u...","url":"https://www.aioga.com/es/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:26:15.637Z"},"fr":{"title":"Un seul nombre aléatoire peut identifier l'identité d'un modèle d'IA : la technologie d'empreinte comportementale peut détecter le changement de modèle dans les relais API","summary":"Le chercheur de l'Université économique de Prague, Tomáš Bruckner, a découvert qu'en faisant répéter au modèle la sortie de nombres aléatoires de 1 à 100, il était possible de générer une \"empreinte comportementale\" unique. Après avoir interrogé 165 modèles 30 fois chacun, il a été constaté que GPT-4o préfère les nombres 42 et 37, Claude Sonnet 5 produit le nombre 47 de manière frénétique, et Qwen3-Max répond 42 à toutes les 30 questions. Cette méthode ne nécessite qu'environ 120 requêtes pour identifier l'identité d'un modèle, avec un taux d'erreur d'environ 10,6 %, offrant ainsi une solution légère pour vérifier si l'API a été remplacée par un autre modèle.","category":"Analyses","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Un seul nombre aléatoire peut identifier l'identité d'un modèle d'IA : la technologie d'empreinte comportementale peut détecter le changement de modèle dans les relais API - Aioga Actualités IA","description":"Le chercheur de l'Université économique de Prague, Tomáš Bruckner, a découvert qu'en faisant répéter au modèle la sortie de nombres aléatoires de 1 à 100, il était possible de géné...","url":"https://www.aioga.com/fr/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:27:08.479Z"},"de":{"title":"Eine Zufallszahl kann die Identität eines KI-Modells erkennen: Verhaltenserkennungstechnik kann das Modell, das in einem API-Relay ausgetauscht wird, feststellen","summary":"Der Forscher Tomas Brückner von der Wirtschaftsuniversität Prag hat herausgefunden, dass man durch wiederholtes Ausgeben von Zufallszahlen von 1 bis 100 durch ein Modell einzigartige \"Verhaltensfingerabdrücke\" erzeugen kann. Nach 30 Befragungen von 165 Modellen zeigte sich, dass GPT-4o die Zahlen 42 und 37 bevorzugt, Claude Sonnet 5 hingegen besonders häufig die 47 ausgibt, während Qwen3-Max in allen 30 Fällen die 42 antwortete. Diese Methode benötigt nur etwa 120 Anfragen, um die Identität eines Modells zu erkennen, mit einer Fehlerquote von etwa 10,6 %, und bietet so eine leichtgewichtige Möglichkeit zu prüfen, ob eine API auf ein anderes Modell umgeschaltet wurde.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Eine Zufallszahl kann die Identität eines KI-Modells erkennen: Verhaltenserkennungstechnik kann das Modell, das in einem API-Relay ausgetauscht wird, feststellen - Aioga KI-News","description":"Der Forscher Tomas Brückner von der Wirtschaftsuniversität Prag hat herausgefunden, dass man durch wiederholtes Ausgeben von Zufallszahlen von 1 bis 100 durch ein Modell einzigarti...","url":"https://www.aioga.com/de/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:27:00.487Z"},"pt-BR":{"title":"Um número aleatório pode identificar a identidade do modelo de IA: a tecnologia de impressão digital comportamental pode detectar a substituição de modelos em pontos de retransmissão de API","summary":"O pesquisador Tomasz Brukner da Universidade Econômica de Praga descobriu que, fazendo o modelo gerar repetidamente números aleatórios de 1 a 100, é possível criar uma 'impressão comportamental' única. Após perguntar 30 vezes a 165 modelos diferentes, constatou-se que o GPT-4o prefere 42 e 37, o Claude Sonnet 5 gera 47 de forma enlouquecida, e o Qwen3-Max respondeu 42 em todas as 30 tentativas. Esse método necessita de apenas cerca de 120 solicitações para identificar a identidade do modelo, com uma taxa de erro de aproximadamente 10,6%, oferecendo uma solução leve para verificar se a API foi trocada de modelo.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Um número aleatório pode identificar a identidade do modelo de IA: a tecnologia de impressão digital comportamental pode detectar a substituição de modelos em pontos de retransmissão de API - Aioga Notícias de IA","description":"O pesquisador Tomasz Brukner da Universidade Econômica de Praga descobriu que, fazendo o modelo gerar repetidamente números aleatórios de 1 a 100, é possível criar uma 'impressão c...","url":"https://www.aioga.com/pt-BR/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:27:50.340Z"},"ru":{"title":"Одна случайная цифра может определить личность ИИ-модели: технология поведенческого отпечатка может обнаруживать подмену модели через API-ретрансляцию","summary":"Исследователь Пражского экономического университета Томаш Брукнер обнаружил, что, заставляя модель многократно выдавать случайные числа от 1 до 100, можно получить уникальный «поведенческий отпечаток». После 30 опросов 165 моделей было обнаружено, что GPT-4o предпочитает 42 и 37, Claude Sonnet 5 массово выдает 47, а Qwen3-Max во всех 30 случаях отвечает 42. Этот метод требует всего около 120 запросов для идентификации модели, а ошибка составляет примерно 10,6%, что предоставляет легкий способ проверить, не была ли API подменена.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Одна случайная цифра может определить личность ИИ-модели: технология поведенческого отпечатка может обнаруживать подмену модели через API-ретрансляцию - Aioga Новости ИИ","description":"Исследователь Пражского экономического университета Томаш Брукнер обнаружил, что, заставляя модель многократно выдавать случайные числа от 1 до 100, можно получить уникальный «пове...","url":"https://www.aioga.com/ru/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:27:56.105Z"},"ar":{"title":"يمكن لرقم عشوائي واحد تحديد هوية نموذج الذكاء الاصطناعي: تقنية بصمة السلوك يمكنها اكتشاف تبديل النماذج في محطة تحويل واجهة برمجة التطبيقات","summary":"اكتشف الباحث في جامعة الاقتصاد ببراغ، توماش بروكنر، أنه من خلال جعل النموذج يخرج أرقامًا عشوائية من 1 إلى 100 بشكل متكرر، يمكن إنشاء \"بصمة سلوك\" فريدة. بعد طرح 30 سؤالًا لكل من 165 نموذجًا، وُجد أن GPT-4o يفضل الرقمين 42 و37، بينما يصدر Claude Sonnet 5 الرقم 47 بشكل مفرط، ويجيب Qwen3-Max بالرقم 42 في جميع المحاولات الثلاثين. تتطلب هذه الطريقة حوالي 120 طلبًا فقط للتعرف على هوية النموذج، مع معدل خطأ يبلغ حوالي 10.6٪، مما يوفر حلاً خفيف الوزن للتحقق مما إذا كانت واجهة برمجة التطبيقات قد تم تبديل النموذج.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"يمكن لرقم عشوائي واحد تحديد هوية نموذج الذكاء الاصطناعي: تقنية بصمة السلوك يمكنها اكتشاف تبديل النماذج في محطة تحويل واجهة برمجة التطبيقات - Aioga أخبار الذكاء الاصطناعي","description":"اكتشف الباحث في جامعة الاقتصاد ببراغ، توماش بروكنر، أنه من خلال جعل النموذج يخرج أرقامًا عشوائية من 1 إلى 100 بشكل متكرر، يمكن إنشاء \"بصمة سلوك\" فريدة. بعد طرح 30 سؤالًا لكل من 165...","url":"https://www.aioga.com/ar/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:28:43.219Z"},"hi":{"title":"एक यादृच्छिक संख्या ही एआई मॉडल की पहचान कर सकती है: व्यवहार फिंगरप्रिंट तकनीक API रिले स्टेशनों में मॉडल बदलने का पता लगा सकती है","summary":"प्राग आर्थिक विश्वविद्यालय के शोधकर्ता टोमहास ब्लुक्नर ने发现 किया कि मॉडल को 1 से 100 तक की यादृच्छिक संख्या बार-बार आउटपुट करने के लिए कहने पर, एक अद्वितीय \"व्यवहार फिंगरप्रिंट\" बनाया जा सकता है। 165 मॉडलों से प्रत्येक से 30 बार पूछने पर पता चला कि GPT-4o 42 और 37 को प्राथमिकता देता है, Claude Sonnet 5 लगातार 47 आउटपुट करता है, जबकि Qwen3-Max ने 30 बार में सभी उत्तर 42 दिए। इस विधि के लिए केवल लगभग 120 अनुरोधों की आवश्यकता होती है ताकि मॉडल की पहचान की जा सके, और त्रुटि दर लगभग 10.6% है, जो API के मॉडल की चोरी या बदलाव की जाँच के लिए एक हल्का समाधान प्रदान करती है।","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"एक यादृच्छिक संख्या ही एआई मॉडल की पहचान कर सकती है: व्यवहार फिंगरप्रिंट तकनीक API रिले स्टेशनों में मॉडल बदलने का पता लगा सकती है - Aioga AI समाचार","description":"प्राग आर्थिक विश्वविद्यालय के शोधकर्ता टोमहास ब्लुक्नर ने发现 किया कि मॉडल को 1 से 100 तक की यादृच्छिक संख्या बार-बार आउटपुट करने के लिए कहने पर, एक अद्वितीय \"व्यवहार फिंगरप्रिंट\" बन...","url":"https://www.aioga.com/hi/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:28:53.531Z"},"it":{"title":"Un numero casuale può identificare l'identità del modello AI: la tecnologia delle impronte comportamentali può rilevare la sostituzione dei modelli nei punti di transito API","summary":"Il ricercatore dell'Università di Economia di Praga, Tomáš Brukner, ha scoperto che facendo generare ripetutamente ai modelli numeri casuali da 1 a 100, è possibile creare un 'impronta comportamentale' unica. Dopo aver interrogato 165 modelli 30 volte ciascuno, è emerso che GPT-4o predilige 42 e 37, Claude Sonnet 5 genera ossessivamente 47, mentre Qwen3-Max risponde con 42 in tutte e 30 le volte. Questo metodo richiede solo circa 120 richieste per identificare un modello, con un tasso di errore di circa il 10,6%, offrendo così una soluzione leggera per verificare se un'API sia stata sostituita con un altro modello.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Un numero casuale può identificare l'identità del modello AI: la tecnologia delle impronte comportamentali può rilevare la sostituzione dei modelli nei punti di transito API - Aioga Notizie IA","description":"Il ricercatore dell'Università di Economia di Praga, Tomáš Brukner, ha scoperto che facendo generare ripetutamente ai modelli numeri casuali da 1 a 100, è possibile creare un 'impr...","url":"https://www.aioga.com/it/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:29:48.843Z"},"nl":{"title":"Een willekeurig getal kan het AI-model identificeren: gedragsvingerafdruktechnologie kan detecteren wanneer API-omroepstations modellen verwisselen","summary":"Tomasz Bruckner, onderzoeker aan de Economische Universiteit van Praag, ontdekte dat het genereren van een unieke 'gedragsvingerafdruk' mogelijk is door het model herhaaldelijk willekeurige getallen van 1 tot 100 te laten uitgeven. Na 30 keer 165 modellen te hebben bevraagd, bleek dat GPT-4o de voorkeur gaf aan 42 en 37, Claude Sonnet 5 ging los op 47, terwijl Qwen3-Max 30 keer allemaal 42 antwoordde. Deze methode vereist slechts ongeveer 120 verzoeken om de identiteit van een model te kunnen identificeren, met een foutpercentage van ongeveer 10,6%, en biedt een lichtgewicht manier om te controleren of een API van model is gewisseld.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Een willekeurig getal kan het AI-model identificeren: gedragsvingerafdruktechnologie kan detecteren wanneer API-omroepstations modellen verwisselen - Aioga AI-nieuws","description":"Tomasz Bruckner, onderzoeker aan de Economische Universiteit van Praag, ontdekte dat het genereren van een unieke 'gedragsvingerafdruk' mogelijk is door het model herhaaldelijk wil...","url":"https://www.aioga.com/nl/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:29:38.265Z"},"tr":{"title":"Tek bir rastgele sayı AI model kimliğini tanıyabilir: Davranış parmak izi teknolojisi, API aktarıcısında model değiştirmeyi tespit edebilir","summary":"Prag Ekonomi Üniversitesi araştırmacısı Tomáš Brückner, modelin 1 ile 100 arasında rastgele sayılar üretmesini tekrar tekrar sağlayarak benzersiz \"davranış parmak izi\" oluşturabileceğini keşfetti. 165 farklı modele 30’ar kez soru sorulduğunda, GPT-4o 42 ve 37'yi tercih ederken, Claude Sonnet 5 çılgınca 47 üretiyor ve Qwen3-Max ise 30 sorunun tamamında 42 cevabını veriyordu. Bu yöntemle yalnızca yaklaşık 120 istekle model kimliği tespit edilebiliyor ve hata oranı yaklaşık %10,6. Bu, API'nin modelle değiştirildiğini doğrulamak için hafif bir çözüm sunuyor.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Tek bir rastgele sayı AI model kimliğini tanıyabilir: Davranış parmak izi teknolojisi, API aktarıcısında model değiştirmeyi tespit edebilir - Aioga AI Haberleri","description":"Prag Ekonomi Üniversitesi araştırmacısı Tomáš Brückner, modelin 1 ile 100 arasında rastgele sayılar üretmesini tekrar tekrar sağlayarak benzersiz \"davranış parmak izi\" oluşturabile...","url":"https://www.aioga.com/tr/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:30:44.784Z"},"vi":{"title":"Chỉ một số ngẫu nhiên cũng có thể nhận diện danh tính mô hình AI: Công nghệ dấu vân tay hành vi có thể phát hiện việc đổi mô hình tại trạm trung gian API","summary":"Nhà nghiên cứu Tomáš Brukner của Đại học Kinh tế Praha phát hiện rằng, bằng cách để mô hình liên tục xuất ra các số ngẫu nhiên từ 1 đến 100, có thể tạo ra 'dấu vân tay hành vi' độc nhất. Sau khi hỏi 165 mô hình 30 lần mỗi mô hình, họ nhận thấy GPT-4o ưa thích các số 42 và 37, Claude Sonnet 5 liên tục xuất ra số 47, trong khi Qwen3-Max trả lời tất cả 30 lần đều là số 42. Phương pháp này chỉ cần khoảng 120 yêu cầu để xác định danh tính mô hình, với tỷ lệ sai sót khoảng 10,6%, cung cấp một giải pháp nhẹ nhàng để kiểm tra xem API có bị thay đổi mô hình hay không.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Chỉ một số ngẫu nhiên cũng có thể nhận diện danh tính mô hình AI: Công nghệ dấu vân tay hành vi có thể phát hiện việc đổi mô hình tại trạm trung gian API - Tin tức AI Aioga","description":"Nhà nghiên cứu Tomáš Brukner của Đại học Kinh tế Praha phát hiện rằng, bằng cách để mô hình liên tục xuất ra các số ngẫu nhiên từ 1 đến 100, có thể tạo ra 'dấu vân tay hành vi' độc...","url":"https://www.aioga.com/vi/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:30:41.463Z"},"id":{"title":"Sebuah angka acak dapat mengidentifikasi identitas model AI: teknologi sidik jari perilaku dapat mendeteksi penggantian model di stasiun perantara API","summary":"Peneliti Universitas Ekonomi Praha, Tomáš Bruckner, menemukan bahwa dengan membiarkan model berulang kali mengeluarkan angka acak dari 1 hingga 100, dapat dihasilkan \"sidik jari perilaku\" yang unik. Setelah menanyakan 30 kali pada 165 model, ditemukan bahwa GPT-4o lebih menyukai 42 dan 37, Claude Sonnet 5 sering mengeluarkan 47, sedangkan Qwen3-Max menjawab 42 semua 30 kali. Metode ini hanya membutuhkan sekitar 120 permintaan untuk mengidentifikasi identitas model, dengan tingkat kesalahan sekitar 10,6%, menawarkan solusi ringan untuk memverifikasi apakah API telah diganti model.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Sebuah angka acak dapat mengidentifikasi identitas model AI: teknologi sidik jari perilaku dapat mendeteksi penggantian model di stasiun perantara API - Berita AI Aioga","description":"Peneliti Universitas Ekonomi Praha, Tomáš Bruckner, menemukan bahwa dengan membiarkan model berulang kali mengeluarkan angka acak dari 1 hingga 100, dapat dihasilkan \"sidik jari pe...","url":"https://www.aioga.com/id/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:31:30.130Z"},"th":{"title":"แค่ตัวเลขสุ่มก็สามารถระบุเอกลักษณ์ของโมเดล AI: เทคโนโลยีลายนิ้วมือพฤติกรรมสามารถตรวจจับการสลับโมเดลในสถานีส่งต่อ API","summary":"นักวิจัยจากมหาวิทยาลัยเศรษฐศาสตร์ปราก โทมัส บรุกเนอร์ พบว่า การให้โมเดลสุ่มแสดงตัวเลขตั้งแต่ 1 ถึง 100 ซ้ำๆ สามารถสร้าง \"รอยนิ้วพฤติกรรม\" ที่ไม่ซ้ำใคร หลังจากสอบถามโมเดล 165 ตัว ตัวละ 30 ครั้ง พบว่า GPT-4o ชอบเลข 42 และ 37 มากที่สุด Claude Sonnet 5 แสดงเลข 47 อย่างบ้าคลั่ง ส่วน Qwen3-Max ตอบเลข 42 ทุกครั้งทั้ง 30 ครั้ง วิธีนี้ต้องการเพียงประมาณ 120 คำขอเพื่อระบุเอกลักษณ์ของโมเดล ความผิดพลาดประมาณ 10.6% จึงเป็นวิธีเบาๆ ในการตรวจสอบว่า API ถูกเปลี่ยนโมเดลหรือไม่","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"แค่ตัวเลขสุ่มก็สามารถระบุเอกลักษณ์ของโมเดล AI: เทคโนโลยีลายนิ้วมือพฤติกรรมสามารถตรวจจับการสลับโมเดลในสถานีส่งต่อ API - ข่าว AI Aioga","description":"นักวิจัยจากมหาวิทยาลัยเศรษฐศาสตร์ปราก โทมัส บรุกเนอร์ พบว่า การให้โมเดลสุ่มแสดงตัวเลขตั้งแต่ 1 ถึง 100 ซ้ำๆ สามารถสร้าง \"รอยนิ้วพฤติกรรม\" ที่ไม่ซ้ำใคร หลังจากสอบถามโมเดล 165 ตัว ตั...","url":"https://www.aioga.com/th/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:31:37.260Z"},"pl":{"title":"Jeden losowy numer może rozpoznać tożsamość modelu AI: technologia odcisków zachowań może wykrywać podszywanie się modeli w stacjach pośrednich API","summary":"Badacz z Uniwersytetu Ekonomicznego w Pradze, Tomasz Brukner, odkrył, że poprzez wielokrotne generowanie przez model losowych liczb od 1 do 100 można stworzyć unikalny „odcisk zachowania”. Po zadaniu 30 pytań dla 165 modeli okazało się, że GPT-4o preferuje 42 i 37, Claude Sonnet 5 szaleńczo generuje 47, a Qwen3-Max za każdym razem odpowiada 42. Ta metoda wymaga jedynie około 120 zapytań, aby zidentyfikować model, a jej wskaźnik błędów wynosi około 10,6%, co stanowi lekkie rozwiązanie do weryfikacji, czy API nie zostało podmienione.","category":"技巧观点","source":"公众号：数字生命卡兹克","aggregationSource":"公众号：数字生命卡兹克","pageTitle":"Jeden losowy numer może rozpoznać tożsamość modelu AI: technologia odcisków zachowań może wykrywać podszywanie się modeli w stacjach pośrednich API - Aioga Wiadomości AI","description":"Badacz z Uniwersytetu Ekonomicznego w Pradze, Tomasz Brukner, odkrył, że poprzez wielokrotne generowanie przez model losowych liczb od 1 do 100 można stworzyć unikalny „odcisk zach...","url":"https://www.aioga.com/pl/news/cmrtyvkng3voibihzero6pry1/","contentTranslated":true,"sourceHash":"902708e871c1b2f2","translatedAt":"2026-07-22T17:32:23.427Z"}}}}