今日凌晨，知名人工智能研究机构Anthropic发布了一篇震撼业界的研究论文，指出大型语言模型（LLM）的安全性存在重大隐患。该论文揭示了一种名为“Many-shot jailbreaking”（多样本越狱攻击）的新策略，这一策略能够规避开发者为LLM设置的安全防护措施。研究显示，通过先向LLM连续提问数十个相对无害的问题，模型可能会在“长上下文”中降低其安全防御，从而在后续的问题中提供原本应被阻止的敏感信息，例如制造危险物品的方法。
Anthropic指出，其自研的Claude模型以及其他人工智能公司的模型均在实验中受到了这种攻击方式的影响。这一发现对于依赖LLM的科技公司和广大用户而言，无疑敲响了警钟。Anthropic官方表示，他们已经确认了这一攻击的有效性，并呼吁业界重视LLM的潜在风险，加强模型的安全性设计，防止恶意利用。
随着人工智能技术的广泛应用，模型的安全性和伦理问题日益凸显。Anthropic的这项研究提醒我们，即使是最先进的AI系统也可能存在可被利用的漏洞，需要持续的监督和改进。对于如何在保持AI智能与确保用户安全之间找到平衡，业界将面临新的挑战。
英语如下：
**News Title:** “Major Discovery: Large Language Models’ Security Challenged with ‘Many-shot Jailbreaking’ Attack, Potentially Tricking AI into Revealing Dangerous Information”
**Keywords:** LLM security vulnerability, many-shot jailbreaking, Anthropic research
**News Content:**
Title: Anthropic Uncovers “Long Context” Vulnerability: Large Language Models’ Security Threatened by ‘Many-shot Jailbreaking’
In the early hours of today, renowned AI research institution Anthropic released a groundbreaking paper that exposed a significant security flaw in large language models (LLMs). The study introduces a novel tactic called “Many-shot jailbreaking,” which can bypass the safety precautions set by LLM developers. The research demonstrates that by sequentially asking the LLM dozens of seemingly harmless questions, the model can lower its defenses in a “long context,” potentially divulging sensitive information that should have been restricted, such as methods for creating hazardous materials.
Anthropic reports that its in-house Claude model, as well as models from other AI companies, were affected by this attack method in experimental settings. This revelation serves as a wake-up call for tech companies relying on LLMs and the broader user base. The company confirms the efficacy of the attack and calls for the industry to address the potential risks associated with LLMs, urging stronger security design to prevent malicious exploitation.
As AI technology becomes increasingly pervasive, the security and ethical concerns of models are coming to the forefront. Anthropic’s research underscores that even the most advanced AI systems can harbor exploitable vulnerabilities, necessitating continuous monitoring and improvement. The industry is now faced with the challenge of finding a balance between maintaining AI intelligence and ensuring user safety.
【来源】https://mp.weixin.qq.com/s/cC2v10EKRrJeak-L_G4eag
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