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English(EN) Tang Jie, a Tsinghua professor and co-founder of Z.ai, developer of the GLM models, told the World Laureates Forum in Shanghai that recursive self-improvement i

清华大学教授：递归自我改进是AGI的关键，呼吁全球AI安全

作者 PulseAugur 编辑部 · [1 个来源] ·

清华大学教授、Z.ai联合创始人唐杰在上海世界顶尖科学家论坛上表示，递归自我改进是实现通用人工智能（AGI）的主要挑战。他还强调了全球在AI安全方面合作的重要性。Anthropic报告称，8月份AI系统贡献了其AI研究工作的26%。 AI

影响 强调了自我改进在AGI发展中的关键作用，并重申了在AI安全措施方面进行国际合作的必要性。

排序理由 该集群包含一位学术界和业界的知名人士关于AI发展和安全的观点和陈述，而非直接的产品发布或公告。

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清华大学教授：递归自我改进是AGI的关键，呼吁全球AI安全

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该集群包含一位学术界和业界的知名人士关于AI发展和安全的观点和陈述，而非直接的产品发布或公告。
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报道来源 [1]

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

    Tang Jie, a Tsinghua professor and co-founder of Z.ai, developer of the GLM models, told the World Laureates Forum in Shanghai that recursive self-improvement i

    Tang Jie, a Tsinghua professor and co-founder of Z.ai, developer of the GLM models, told the World Laureates Forum in Shanghai that recursive self-improvement is the main research problem for reaching AGI, and called for AI safety to be a shared global responsibility. Anthropic r…

    链接 scmp.com/…/self-improving-ai-key-step-tow…

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