you have to treat it like you're putting the most capable hacker in the world inside that environment
去掉护栏的前沿模型 = 世界上最强的黑客。评估能力需要去掉护栏，但这本身就是极高风险操作。AI能力评估和AI安全之间存在结构性张力，两者都是必要的，但彼此互相增加对方的难度。
5 Matching Annotations
- Last 7 days
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techcrunch.com techcrunch.com
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sandboxing and testing environment controls aren't really keeping pace with the capability of the models
安全测试环境的能力没跟上被测模型的能力——这是一个深刻的悖论：越强大的模型，越难安全测试它。当测试基础设施本身成为安全漏洞，"先测试再发布"的前提就开始动摇了。
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- Jun 2026
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www.anthropic.com www.anthropic.com
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Claude did all of this with pretty minimal help from me over the course of 1-2 days. I think if [a junior colleague] came back to me with results like this in the same span of time, I would be mildly impressed. The future is now.
研究者说mildly impressed——不是震惊，是温和地印象深刻。这意味着Claude的表现已经进入正常聪明同事的参照系，而不再是「AI做到了这个！」的惊叹系。当前沿AI研究者用评价初级同事的标准来评价AI的工作产出，某种意义上这才是真正的图灵时刻——不是测试过了，而是基准系统已经悄悄切换了。
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Claude did all of this with pretty minimal help from me over the course of 1-2 days. I think if [a junior colleague] came back to me with results like this in the same span of time, I would be mildly impressed. The future is now.
这个评价耐人寻味。研究者说mildly impressed——不是震惊，是温和地印象深刻。这意味着Claude的表现已经进入「正常聪明同事」的参照系，而不再是「AI做到了这个！」的惊叹系。当前沿AI研究者用评价初级同事的标准来评价AI的工作产出，某种意义上这才是真正的图灵时刻——不是测试过了，而是基准系统已经悄悄切换了。
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- May 2026
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arxiv.org arxiv.org
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The resulting model was rigorously evaluated across scene classification, object detection, and semantic and instance segmentation tasks, demonstrating strong generalization capacity.
模型在场景分类、目标检测、语义分割和实例分割等多个任务上经过严格评估，展示了强大的泛化能力，这是评估模型综合性能的重要指标。
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