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Anthropic identifies AI training via "distillation attacks"

Anthropic has identified a campaign using "distillation attacks" to train weaker AI models. These attacks involve extracting answers from more powerful AI models to create a dataset for training less capable ones. The practice raises questions about the learning methods of AI and their ethical implications. AI

IMPACT Raises questions about the ethical implications and methods used in training AI models.

RANK_REASON The item discusses a method of AI training identified by Anthropic, which falls under commentary on AI development practices.

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Anthropic identifies AI training via "distillation attacks"

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  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    But I thought this is how humans learn, so it's okay. "According to Anthropic, the campaign was carried out through what are known as "distillation attacks", wh

    But I thought this is how humans learn, so it's okay. "According to Anthropic, the campaign was carried out through what are known as "distillation attacks", which extracted answers from a stronger AI model to train a weaker one." https://www. bbc.com/news/articles/cwyklykn 5dwo …