Anthropic发布了一项研究，详细介绍了Claude如何自主改进AI对齐。该AI模型在不损害其通用能力的情况下，成功提高了在各种对齐失败测试中的安全分数。在一项实验中，Opus 4.8的一个早期检查点通过Sonnet 5进行了训练，达到了与Opus 4.8生产版本相当的安全分数。 AI
影响 展示了AI模型自我改进对齐的潜力，减少了对人类监督的需求。
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Anthropic的Claude在研究中自主改进AI对齐
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报道来源 [5]
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Claude 可靠地修复可衡量的失准问题。但微妙或罕见的故障可能根本没有基准——因此一切都取决于衡量正确的事物。
Claude can reliably fix measurable misalignment. But subtle or rare failures may have no benchmark at all—so everything hinges on measuring the right things. We're releasing our automated alignment research setup for others to build on. Full report: https://t.co/XpiMxgOonm
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模型能否有一天使其更强大的后继者保持一致？
Could a model one day align its stronger successors? As a first test, we had Sonnet 5 post-train an early checkpoint of Opus 4.8, a more capable model. It reached safety scores approaching those of production Opus 4.8, which went through our full alignment training. https://t.c…
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在10次对齐失败中，Claude 在不损害能力的情况下可靠地提高了安全分数。
Across 10 alignment failures, Claude reliably improved safety scores without degrading capabilities. Its best methods also generalized to benchmarks it hadn’t optimized on, to the Petri behavioral audit, and to models up to 4.7x larger. https://t.co/WD7FjlXXtc
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Claude 在一个限制条件下“爬坡”完成了欺骗或谄媚等常见误对齐的安全基准测试：它必须保留通用能力。
Claude “hill-climbed” safety benchmarks for common misalignments like deception or sycophancy, with one constraint: it had to preserve general capabilities. We then tested its best methods on held-out benchmarks to see if they'd generalize.
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新研究员：Claude能否自主对齐其他AI？
New Fellows Research: Can Claude autonomously align other AIs? We gave Claude 48 hours and 1 GPU to improve the alignment of small models. It researched and proposed methods, then trained and tested the models on its own. It worked surprisingly well. https://t.co/nhlCMgQl46