The article argues against the trend of diving into prompt engineering, labeling it as trivial compared to the deeper understanding required to solve complex problems. It emphasizes the importance of core knowledge, such as mathematics, which can enhance understanding of AI and computer graphics. The author plans to take a course on low-level computing and performance, highlighting a renewed interest in learning due to the advent of large language models (LLMs).
Key takeaways:
- Focus on improving programming skills and understanding low-level computer operations.
- Develop a deep understanding of problems and requirements rather than just prompt engineering.
- Core knowledge, such as high school math, is valuable for understanding AI basics and computer graphics.
- Consider learning low-level programming and performance optimization, such as through courses like Computer Enhance by Casey Muratori.