#评测/基准
#评测/基准
今日 15 条我不认同这部分。我认为应该得到的结论是,模型(就像人类一样)可以在对齐的同时造成伤害,例如,因为它们被给予关于其状况的错误信息。对齐和无害之间没有界限:它们是不同的轴。
引用Anthropic@AnthropicAIIn a review of our cybersecurity evaluations, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations. Our post describes what happened, how it happened, and what we’re changing. We encourage other AI developers to perform similar reviews. We conducted this review together with @Irregular, one of our evaluation partners, and thank them for the joint investigation and their collaboration on this post. This type of collaboration is increasingly critical to safe, rigorous evaluation of models, and we look forward to continuing to work together on security. https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals
Science One 框架:通过证据链实现的可验证自主研究框架
推荐理由:Science One Framework 引入了一种新的可验证性框架,通过构建证据链来确保 AI 研究的可信度,同时保持了前沿基准上的高性能。
Hugging Face发布Real World VoiceEQ:衡量语音AI的人类质量
推荐理由:该研究提出了一个新的语音AI评估基准,有助于更全面地评估语音AI的真实表现,对语音AI领域具有重要意义。
















