文章认为，提示词工程曾是与AI交互的关键技能，如今已成为瓶颈。文章暗示，高级用户和开发人员已经超越了手动提示词的构建，可能正在利用更自动化或更复杂的方法来实现所需的AI输出。这一转变意味着AI交互的重点正从用户编写提示词的能力转移到底层系统的能力以及如何更有效地控制它们。 AI
影响 暗示AI交互范式正在转变，从手动提示词工程转向更自动化或集成的控制方法。
排序理由 讨论AI交互方法演变的观点性文章。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
据Medium报道，提示词工程现在是最慢的AI交互方式
本文如何被排名
- Signal score
- 4 / 100
- Composite score across the factors below. Higher = stronger signal that this story matters right now.
- Newsworthiness bucket
- Commentary
- 讨论AI交互方法演变的观点性文章。
- Source corroboration
- Single-source cluster
- Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
- Topics
- opinion, other
- Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
- AI-industry relevance
- Standard
- On-topic for AI-industry coverage; kept in the public index.
- Story freshness
- Breaking (< 6h)
- Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.
完整方法见我们的编辑标准。
报道来源 [1]
-
提示词现在是你做过的最慢的事情（而快的人早已向前看）
<div class="medium-feed-item"><p class="medium-feed-snippet">I watched a friend spend forty minutes crafting the perfect prompt last week.</p><p class="medium-feed-link"><a href="https://medium.com/@thematrixsaas/prompting-is-now-the-slowest-thing-you-do-and-the-fast-people-alrea…