5 Matching Annotations
  1. Last 7 days
    1. AI is moving faster than anyone predicted. When models change every 42 days, buyers can't assemble a best-of-breed stack.

      令人惊讶的是:AI模型的更新速度如此之快,平均每42天就发生一次变化,这使得企业难以构建最佳组合的软件栈。这种极快的迭代速度彻底改变了传统的软件采购策略,迫使企业转向更全面的平台解决方案。

    1. Anthropic says Managed Agents is designed to cut the time it takes to move from prototype to production from months to days, with early adopters like Notion, Rakuten, Asana, Vibecode, and Sentry already using it across coding, productivity, and internal workflow automation.

      将AI原型到生产的时间从几个月缩短到几天是一个惊人的加速,这将彻底改变企业采用AI的方式。这种快速部署能力可能加速AI在各行业的普及,但也带来了关于AI系统安全性和治理的紧迫问题,企业需要在快速采用和确保安全之间找到平衡。

  2. Apr 2026
    1. AI agents are typically several times faster than humans on tasks they complete successfully.

      AI agent 完成任务的实际速度比人类快数倍——但这个事实几乎从未出现在主流 AI 能力讨论中。「2 小时时间地平线」被大众理解为「AI 能做人类 2 小时的工作」,但实际上 AI 可能只需 20-30 分钟就完成了这个任务。这意味着 AI 的实际生产力倍数远高于时间地平线数字所暗示的,而低估 AI 效率的讨论普遍存在。

    1. Within three to four months, you can run a model with similar performance on your laptop; 23 months later, you can run the same model on your phone.

      大多数人认为前沿AI技术需要很长时间才能普及到消费级设备,但作者认为前沿模型只需3-4个月就能在笔记本上运行,23个月就能在手机上实现,这种技术下放的速度远超行业普遍预期。

  3. Jul 2023
    1. alphago
      • Alphago
        • first version took months of Google UK software developers to program. It won the world Go championship.
        • Alphago Master played itself without ever watching a human player. It beat the first Alphago version after 3 days of playing itself.
        • In 21 days, it beat Alphago version one a thousand to zero.