自带荧光粉:克劳德·科德无法解决的十三个问题

📄 中文摘要

在构建图像处理管道的过程中,作者遇到了荧光粉的挑战,尤其是机器在处理颜色时的局限性。尽管经过多次尝试和使用不同工具,机器依然无法理解其知识的盲点,导致输出的颜色与预期相差甚远。作者回顾了与克劳德·科德发布以来的一年斗争,强调了机器学习在色彩处理上的不足,以及在面对复杂视觉效果时的局限性。尽管工具不断更新,问题依旧存在,显示出技术在某些方面的无能为力。作者的经历反映了人工智能在理解和生成视觉内容方面的挑战。

📄 English Summary

Bring your own phosphor: thirteen problems Claude Code couldn't solve without me

The author faces challenges with phosphor in the image processing pipeline, particularly the limitations of machines in handling colors. Despite multiple attempts and the use of various tools, the machine continues to struggle with its knowledge gaps, resulting in outputs that differ significantly from expectations. Reflecting on a year of struggle since the launch of Claude Code, the author emphasizes the shortcomings of machine learning in color processing and its limitations in dealing with complex visual effects. Even with continuous updates to tools, the same issues persist, highlighting the inadequacies of technology in certain aspects. The author's experiences illustrate the challenges artificial intelligence faces in understanding and generating visual content.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等