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翻訳待ち:An Anthropic researcher just gave us a peek at self-improving AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Training AI models with other AI models has become a very popular goal for neolabs — and now, a researcher in Anthropic’s fellows program has given us an early look at what it might look like in practice. On Friday, Ant…

ソースHacker News AI著者: sbulaev

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。

Training AI models with other AI models has become a very popular goal for neolabs — and now, a researcher in Anthropic’s fellows program has given us an early look at what it might look like in practice. On Friday, Anthropic published a new paper titled “Automated Researchers Can Reliably Mitigate Alignment Failures,” detailing how AI systems could reliably improve a model’s performance on a set of alignment benchmarks. When given 10 benchmarks for specific misaligned behaviors, the automated systems were able to improve performance on every single one without degrading overall performance.