52 Matching Annotations
  1. Apr 2026
    1. SWE-chat is a living dataset; our collection pipeline automatically and continually discovers and processes sessions from public repositories

      大多数人认为AI研究数据集是静态的、一次性的收集,但作者提出'活数据集'概念,强调数据需要持续更新才能反映真实使用情况。这挑战了传统AI评估中依赖静态基准测试的做法,主张需要动态、持续的数据收集方法。

    1. Some privacy related extensions may cause issues on x.com.

      这句话暗示了隐私保护工具与主流社交平台之间的潜在冲突。这反映了数字隐私与平台商业利益之间的张力。用户安装隐私扩展通常是为了保护数据不被收集,但平台可能将这些工具视为干扰其数据收集和分析的障碍。这种冲突预示着未来网络环境中隐私保护与平台功能之间的持续博弈。

    1. Some privacy related extensions may cause issues on x.com.

      这是一个令人惊讶的声明,暗示社交媒体平台可能主动阻止用户使用隐私保护工具。这可能表明X平台的数据收集策略与用户隐私保护之间存在根本冲突,值得深入研究其商业模式与用户权利的平衡问题。

    1. We need, like, a Manhattan Project to collect this... Fields that are not exposed now will become exposed in the future, so you just want to track these statistics across the entire economy.

      大多数人认为应对AI就业影响应该专注于当前受威胁最大的行业,但作者认为我们需要像曼哈顿计划一样全面收集所有行业的价格弹性数据,包括目前尚未受到AI影响的领域。这种前瞻性视角挑战了危机应对的常规思维。

  2. Feb 2024
  3. Jan 2023
    1. 个人学习可能取决于他人行为的主张突出了将学习环境视为一个涉及多个互动参与者的系统的重要性
  4. Oct 2022
    1. only by examining a constellation of metrics in tension can we understand and influence developer productivity

      I love this framing! In my experience companies don't generally acknowledge that metrics can be in tension, which usually means they're only tracking a subset of the metrics they ought to be if they want to have a more complete/realistic understanding of the state of things.

  5. Dec 2021
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  11. Sep 2020
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  18. Sep 2019
  19. Oct 2017