{"version":"1.0","generated_at":"2026-10-26T10:41:28.570055","id":3612,"slug":"anthropic-co-founder-jack-clark-moves-his-prediction-for-self-improving-ai-forward-to-2027","title":"Anthropic 联合创始人 Jack Clark 把自我改进型 AI 的预测时间提前到 2027 年","summary":"新基准 TasteVal 用「算力乘数」量化 AI 的「研究品味」——自主设计实验并解读结果的能力。Anthropic 的 Opus 5.5 以不到一半算力达到 24 位人类专家的水平，单次成本约为人均专家尝试的 1/30；该能力自 2025 年 12 月起约每三个月翻一番。Jack Clark 据此把递归自我改进（RSI）的时间预期从 2028 年提前到 2027 年。","abstract":"Anthropic 联合创始人 Jack Clark 把自我改进型 AI 的预测时间提前到 2027 年 新基准 TasteVal 用「算力乘数」量化 AI 的「研究品味」——自主设计实验并解读结果的能力。Anthropic 的 Opus 5.5 以不到一半算力达到 24 位人类专家的水平，单次成本约为人均专家尝试的 1/30；该能力自 2025 年 12 月起约每三个月翻一番。Jack Clark 据此把递归自我改进（RSI）的时间预期从 2028 年提前到 2027 年。 新基准 TasteVal 用「算力乘数」量化 AI 的「研究品味」——自主设计实验并解读结果的能力。Anthropic 的 Opus 5.5 以不到一半算力达到 24 位人类专家的水平，单次成本约为人均专家尝试的 1/30；该能力自 2025 年 12 月起约每三个月翻一番。Jack Clark 据此把递归自我改进（RSI）的时间预期从 2028 年提前到 2027 年。 原贴提到：A new benchmark called TasteVal measures how well AI systems design expe 来源：the-decoder.com 一个名为 TasteVal 的新基准衡量 AI 系统在自行设计实验并解读结果方面做得如何。研究结果显示出一条异常陡峭的改进曲线。根据 Anthropic 联合创始人 Jack Clark 的说法，这一能力自 2025 年 12 月以来大约每三个月翻一番。研究实验室 P-Zero Research 称之为「研究品味」，意思是挑选正确实验并从中得出…","access_level":"public","access_label":"公开","access_mode":"full","is_preview":false,"canonical_url":"https://opc.beizhux.com/content/3612/anthropic-co-founder-jack-clark-moves-his-prediction-for-self-improving-ai-forward-to-2027","html_url":"https://opc.beizhux.com/content/3612/anthropic-co-founder-jack-clark-moves-his-prediction-for-self-improving-ai-forward-to-2027","json_url":"https://opc.beizhux.com/content/3612/anthropic-co-founder-jack-clark-moves-his-prediction-for-self-improving-ai-forward-to-2027.json","published_at":"2026-10-25T17:37:46","updated_at":"2026-10-26T09:39:55","category":{"slug":"hotspots","name":"全球热点解读"},"source":{"site":"the-decoder.com","author":"Manuel Uth","url":"https://the-decoder.com/anthropic-co-founder-jack-clark-moves-his-prediction-for-self-improving-ai-forward-to-2027/"},"tags":["AI 研究基准","AI 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20…；原贴提到：A new benchmark called TasteVal measures how well AI systems design expe；来源：the-decoder.com"},{"question":"这篇文章和哪些AI专题相关？","answer":"它适合放在AI日报、AI工具、AI超级个体专题里阅读。 关联原因：这篇内容命中「热点解读」等主题信号。；这篇内容命中「自动化」等主题信号。；这篇内容命中「效率」等主题信号。"},{"question":"阅读这篇文章建议先理解哪些关键词？","answer":"建议先理解AI日报、每日AI日报、AI信号、热点解读、BuilderPulse这些关键词，再结合正文判断工具、机会或风险是否值得进入自己的工作流。"}],"terms":[{"slug":"ai-daily-term","name":"AI日报","definition":"在AI觉醒星球里，「AI日报」属于「AI日报」方向。持续整理每日AI日报、模型更新、工具变化和行业信号，帮你快速判断哪些信息值得收藏、验证和行动。 每天先看趋势，再决定今天该试什么。","topic_slug":"ai-daily","topic_name":"AI日报","topic_title":"AI日报：每日AI信号、工具动态与行动判断","topic_url":"https://opc.beizhux.com/topics/ai-daily","topic_path":"/topics/ai-daily","url":"https://opc.beizhux.com/glossary/ai-daily-term","path":"/glossary/ai-daily-term","json_url":"https://opc.beizhux.com/glossary/ai-daily-term.json"},{"slug":"daily-ai-briefing","name":"每日AI日报","definition":"在AI觉醒星球里，「每日AI日报」属于「AI日报」方向。持续整理每日AI日报、模型更新、工具变化和行业信号，帮你快速判断哪些信息值得收藏、验证和行动。 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