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Piratage de OpenAI : des chercheurs ont utilisé l'IA Claude de Anthropic pour violer la sécurité du fabricant de ChatGPT

Les chercheurs ont utilisé l'IA Claude de Anthropic pour violer la sécurité de OpenAI, soulignant ainsi les risques potentiels de piratage de l'IA.

4 min readRead the linked source
Source-provided image accompanying OpenAI Hack: Researchers Used Anthropic's Claude AI to Breach ChatGPT Maker's Security
Référence sourceSource enregistrée
Éditeur
coingape.com
Lien source
coingape.comhttps://coingape.com/openai-hack-researchers-used-anthropics-claude-ai-breach-chatgpt-makers-security/
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Source liée : le statut de source principale n'a pas été établi.
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Que s'est-il passé

Researchers at Hacktron AI used Anthropic's Claude models to hack and gain access to an OpenAI employee's ChatGPT and Codex accounts. They successfully managed to reach connected services including Outlook, Slack, GitHub, and others. The team then stopped testing and reported the issues to Discourse and OpenAI. OpenAI has also confirmed a fix within about 14 hours and paid a $6,500 bounty.

Researchers at Hacktron AI used Anthropic's Claude models to hack and gain access to an OpenAI employee's ChatGPT and Codex accounts.

They successfully managed to reach connected services including Outlook, Slack, GitHub, and others.

The team then stopped testing and reported the issues to Discourse and OpenAI.

OpenAI has also confirmed a fix within about 14 hours and paid a $6,500 bounty.

Détails de la source: coingape.com ↗

Pourquoi c'est important

This incident highlights the potential risks of AI hacking and the need for developers and security teams to move fast to have AI on the cybersecurity side. It also raises concerns about the safety and security of AI models and the potential consequences of their misuse.

This incident highlights the potential risks of AI hacking and the need for developers and security teams to move fast to have AI on the cybersecurity side.

It also raises concerns about the safety and security of AI models and the potential consequences of their misuse.

The development of AI models and their potential applications in cybersecurity is a rapidly evolving field.

The need for developers and security teams to move fast to have AI on the cybersecurity side is crucial in today's digital landscape.

Interactive Mechanism

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Explorez de manière interactive la technologie sous-jacente à ce développement.

System Requirements:
Best ArchitecturePure RAGRecommended pattern
Hallucination RiskVery LowGrounding efficacy
Update Cost$0 (Vector sync)Ongoing maintenance
Core takeaway: Fine-tuning teaches models how to speak (form, style, syntax); RAG teaches models what to say (verifiable facts). Never use fine-tuning alone for factual memory.
Vérification de concept interactive+10 Points
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Que regarder ensuite

The development of AI models and their potential applications in cybersecurity. The need for developers and security teams to move fast to have AI on the cybersecurity side. The potential consequences of AI hacking and the need for safety and security measures.

The development of AI models and their potential applications in cybersecurity.

The need for developers and security teams to move fast to have AI on the cybersecurity side.

The potential consequences of AI hacking and the need for safety and security measures.

The role of AI in cybersecurity and its potential impact on the industry.

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