All of these tests performed far better than what I expected given my prior poor experiences with agents. Did I gaslight myself by being an agent skeptic? How did a LLM sent to die finally solve my agent problems? Despite the holiday, X and Hacker News were abuzz with similar stories about the massive difference between Sonnet 4.5 and Opus 4.5, so something did change.
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这种定位通过纪录片创作得以深化。剪辑陷入瓶颈时,他的导师提供了颠覆性的建议:关掉所有画面,只聆听采访录音,两个月内不看影像。这对习惯于视觉思维的创作者而言,无异于一次“信仰的飞跃”。他照做了,两个月里,他只面对亲人们的声音。那些用粤语、英语讲述的,充满情感风暴、时常跳跃、夹杂着痛苦与怨愤的叙述,动荡时期的恐惧、逃亡路上的艰辛、家庭内部的委屈,所有这些情绪,剥离了画面的修饰,以最直接的声音形式冲击着他。,推荐阅读safew官方下载获取更多信息
報導指出,蓋茨提到所謂「愛潑斯坦文件」中,有一些他和女性合照的圖片,後者臉部被遮蔽,而這些照片是那名已故的金融家當時在會面後要求他和助手們拍攝的。,更多细节参见快连下载安装
A Foreword on AGENTS.md#One aspect of agents I hadn’t researched but knew was necessary to getting good results from agents was the concept of the AGENTS.md file: a file which can control specific behaviors of the agents such as code formatting. If the file is present in the project root, the agent will automatically read the file and in theory obey all the rules within. This is analogous to system prompts for normal LLM calls and if you’ve been following my writing, I have an unhealthy addiction to highly nuanced system prompts with additional shenanigans such as ALL CAPS for increased adherence to more important rules (yes, that’s still effective). I could not find a good starting point for a Python-oriented AGENTS.md I liked, so I asked Opus 4.5 to make one: