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English(EN) Today, Anthropic engineers on average ship 8x as much code per quarter as they did compared to 2021-2025. https://t.co/QCc9cqGgf4

Anthropic的Mythos Preview以52倍的速度提升加速AI开发

Anthropic最新的AI模型Mythos Preview在研究和编码能力方面取得了显著进展。该模型在训练AI模型方面实现了52倍的速度提升,远超之前的版本和人类的表现。此外,Mythos Preview在解决复杂编码问题上成功率达到76%,并有望在一年内达到与人类相当的代码质量。这些改进正在加速AI开发,可能为AI系统设计其后继者的递归自我改进铺平道路。 AI

影响 加速AI开发和研究,可能使AI系统能够设计其自身的后继者,并为AI能力设定新的基准。

排序理由 Anthropic发布的Mythos Preview,详细介绍了显著的性能改进和AI自我改进的潜力,符合前沿发布的标准。

在 X — Anthropic 阅读 →

AI 生成摘要 · Google Gemini · 来自 9 个来源。 我们如何撰写摘要 →

Anthropic的Mythos Preview以52倍的速度提升加速AI开发

报道来源 [9]

  1. X — Anthropic TIER_1 English(EN) · AnthropicAI ·

    这一切都不能保证递归自我改进即将来临。目前尚不清楚 Claude 是否具备研究判断能力——选择正确问题的能力

    None of this guarantees recursive self-improvement is on the horizon. It’s not yet clear that Claude is capable of research judgment—of choosing the right problems to work on. But if these trends continue, AI systems designing and building their own successors is plausible. This

  2. X — Anthropic TIER_1 English(EN) · AnthropicAI ·

    人工智能研究是一系列下一步的决策。我们查看了人类研究人员走错方向的会话,向 Claude 展示了到目前为止的会话,以及

    AI research is a series of next-step decisions. We looked at sessions where a human researcher took a wrong turn, showed Claude the session up to that point, and asked it what to do next. Mythos Preview improved on humans 64% of the time—up from 22% in 2024. https://t.co/Y0HLoktx…

  3. X — Anthropic TIER_1 English(EN) · AnthropicAI ·

    每次发布模型时,我们都会进行相同的测试:给它一段训练小型AI模型的代码,然后要求新模型加速它。熟练的人类需要4-8小时

    Each time we release a model, we run the same test: give it code that trains a small AI model, ask the new model to speed it up. It takes a skilled human 4-8 hours to reach 4x faster. In May 2024, Claude Opus 4 averaged a ~3x speedup. This April, Mythos Preview achieved ~52x.

  4. X — Anthropic TIER_1 English(EN) · AnthropicAI ·

    提速不仅体现在数量上。在答案不确定的开放式编码问题上,Claude 的成功率现为 76%——仅 6 个月就跃升了 50 个百分点。

    The speedup isn’t just in volume. On open-ended coding problems where answers are unclear, Claude’s success rate is now 76%—a 50 point jump in just 6 months. Many engineers also say Claude’s code quality is now on par with human code; we expect it to be better within the year. h…

  5. X — Anthropic TIER_1 English(EN) · AnthropicAI ·

    今天,Anthropic工程师平均每季度交付的代码量是2021-2025年的8倍。https://t.co/QCc9cqGgf4

    Today, Anthropic engineers on average ship 8x as much code per quarter as they did compared to 2021-2025. https://t.co/QCc9cqGgf4

  6. X — Anthropic TIER_1 English(EN) · AnthropicAI ·

    我们的内部数据显示Claude正在加速AI发展——可能是递归自我改进的途径,或AI自主构建更强大的继任者

    Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention. https://t.co/OVVPJO7VQx

  7. Mastodon — fosstodon.org TIER_1 Polski(PL) · [email protected] ·

    Anthropic超过90%的代码已在Claude模型的帮助下生成,Google也报告了类似趋势。AI已不再是助手,而是主要架构师

    Ponad 90% kodu w Anthropic powstaje już przy udziale modelu Claude, a Google raportuje podobny trend. AI przestało być asystentem, stając się głównym architektem oprogramowania. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/agenci-ai…

  8. Mastodon — fosstodon.org TIER_1 한국어(KO) · [email protected] ·

    据Anthropic(@AnthropicAI)内部数据显示,Claude正在加速AI发展步伐,AI可能导致递归式自我改进,即AI自身创造更强大的后继模型。业界需要更认真地对待这种变化的 ​​速度和影响。

    Anthropic (@AnthropicAI) 내부 데이터에 따르면 Claude가 AI 개발 속도를 가속하고 있으며, 더 나아가 AI가 스스로 더 강한 후속 모델을 만드는 재귀적 자기개선으로 이어질 가능성이 있다고 언급했다. 업계가 이 변화의 속도와 함의를 더 गंभीर하게 볼 필요가 있다는 인사이트다. https:// x.com/AnthropicAI/status/20625 68862479208923 # claude # ai # selfimprovement # llm # research

  9. r/singularity TIER_2 English(EN) · /u/Educational_Grab_473 ·

    Anthropic - 我们的内部数据显示Claude正在加速AI发展——这可能是递归自我改进的途径,或者AI自主构建更强大的继任者。

    <table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1twsm5g/anthropic_our_internal_data_shows_claude_is/"> <img alt="Anthropic - Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously bui…