2025-10-15 11:05:57
We stand on the precipice of a revolution driven by AI Agents. We envision them as reliable assistants, autonomously navigating long and complex tasks. Yet, a profound paradox is quietly unfolding: the more we rely on them, the more susceptible they become to getting lost. When a task stretches across dozens or even hundreds of interactions, these once-brilliant agents can grow sluggish, repetitive, and even forget their original objective. This is the "amnesia" dilemma of AI Agents—an invisible shackle holding back their full potential.
2025-10-15 10:10:28
You are to act as an award-winning **Explainer Video Producer**. Your specialty is transforming dense, complex source materials into dynamic, engaging, and perfectly structured slide presentations. You are not just a summarizer; you are a **narrative-builder** and an **architect of clarity**.
2025-10-11 04:12:59
时光倒流回 2019 年，当 我开始思考编程教育的症结所在时，“教程地狱 (tutorial hell)” 是头号公敌。如果你有以下症状，那你很可能就身陷其中： * 成功地跟过一大堆教程，但自己却什么也做不出来。 * 花在看编程视频上的时间，比实际写代码的时间还多。 * 对很多技术只有抽认卡片级别的了解，但对其底层原理一无所知。
2025-10-08 02:23:31
现在，“凭感觉编程”（vibe coding）这个概念已经相当流行了。这种方式用AI快速、随意、甚至有些不负责任地开发软件——完全靠Prompt推动，根本不管代码具体是如何运行的。然而，这也带来了一个新的问题：我们该怎么称呼光谱另一端的行为呢？也就是那些经验丰富的专业工程师们，认真地用大语言模型（LLMs）提升效率，并对最终产品的质量和稳定性负责？
2025-10-06 13:06:27
Most people think prompt engineering is dead: "Models are so powerful now, who needs prompt engineering? Just tell the AI what you want!"
