10 Matching Annotations
  1. Last 7 days
    1. For the next decade or so, we should think about AI as this amazing tool to help scientists

      大多数人认为AI将很快成为科学家的平等伙伴甚至替代者,但作者认为Hassabis暗示AI在未来十年仍将主要是科学家的辅助工具,而非自主研究者。这一观点挑战了AI将迅速超越人类能力成为独立研究者的主流预期,提出了一种更为渐进的发展路径。

  2. Apr 2026
    1. A DESIGN.md file combines machine-readable design tokens (YAML front matter) with human-readable design rationale (markdown prose). Tokens give agents exact values. Prose tells them _why_ those values exist and how to apply them.

      大多数人认为设计系统应该完全由机器可读的配置文件定义,以确保一致性和自动化。但作者认为DESIGN.md格式需要同时包含机器可读的YAML前缀和人类可读的Markdown正文,因为人类提供的上下文和设计推理对AI理解设计意图至关重要,这挑战了纯配置驱动的设计系统理念。

    1. The organizations that get this right won't be the ones that just automated the most tasks. They'll be the ones that figured out when the human should act, when the agent should act, and how the handoff between them works.

      这一洞见指出了AI实施的关键在于人机协作而非简单替代。成功的组织将是那些能够明确界定人类与AI角色边界并优化两者之间交接的组织,这一观点为AI战略提供了重要指导方向。

    1. Each run creates a new session alongside your other sessions, where you can see what Claude did, review changes, and create a pull request.

      这个设计展示了Routines与人类工作流程的无缝集成方式,通过创建可审查的会话,保持了AI操作的透明度和可追溯性。这种设计平衡了自动化效率和人类监督的需求,为AI辅助开发提供了一个实用的范例。

    1. The boundary between AI judgment and human judgment is explicit and written in code.

      令人惊讶的是:Mistral的连接器允许开发者在代码中明确设置AI判断和人类判断之间的界限。通过requires_confirmation参数,开发者可以确保某些工具执行前需要人工批准,这种设计既保持了AI的灵活性,又确保了关键操作的安全性。

    1. McClary took the process from there, contacting the supplier himself to discuss the revised design. Within a month, the new version of the Guardian flashlight was back up for sale on Amazon and on his brand's website.

      大多数人认为AI会完全取代人类在产品开发中的角色,但作者认为AI实际上增强了人类决策者的能力。Mike McClary使用AI工具缩短了产品开发周期,但仍需要亲自与供应商沟通并做出最终决策,这表明AI是辅助工具而非替代品。

    1. An agent cannot be held accountable. I think about this principle most. The instinct to put a human in the loop is understandable, but taken literally, it can mean a person approving every step before anything moves forward. The human becomes a bottleneck, rubber-stamping work rather than directing it, and you lose much of what makes agents valuable in the first place.

      大多数人认为在AI系统中加入人类审批环节是确保问责制的必要措施,但作者认为这会使人类成为瓶颈,削弱代理的价值。这一观点挑战了AI安全与问责的主流思维,提出了一个非传统的责任分配模式。

  3. Oct 2025
    1. Introduction: AI is now recently everywhere but we still need humans