黄仁勋：“别再学编程，如果一切重来，我会学习。。。” 聊聊 AI 阴影下的程序员生存技能 | 回到Axton

Summary

In the era of AI that can code, the video script discusses the necessity of programmers and the potential of AI to replace them. It uses a case study of automating subtitle animations in a video editing software to illustrate the capabilities and limitations of AI in coding. The presenter argues that while AI excels in executing clear tasks, the ability to conceive solutions, understand complex problems, and communicate effectively with AI (Prompt engineering) remains crucial for programmers. The script suggests that computer science education is still valuable for fostering problem-solving skills that AI cannot replace, and emphasizes the importance of continuous learning to stay relevant in the AI-driven future.

Takeaways

• 😀 NVIDIA's CEO Jensen Huang suggests that kids should no longer learn programming.
• 😮 Huang believes that studying computer science is not as crucial as it once was.
• 💡 AI like GPT-4 and Claude can help write code, potentially replacing certain programming tasks.
• 🚀 AI will likely replace junior programmers who only focus on coding and lack problem-solving skills.
• 🧠 Key skills for programmers in the AI era include identifying solutions, writing code, and solving problems.
• 🔍 Advanced AI reduces the need for learning specific programming languages but doesn't replace the need for problem-solving and critical thinking.
• 📚 Computer science education is essential for learning how to clearly define problems and solutions.
• 🤔 Learning prompt engineering is crucial for effectively using AI, as it involves clear and logical communication.
• 📈 AI is already impacting white-collar jobs, including data analysts, junior accountants, and legal assistants.
• 🌐 A broad knowledge base and cross-disciplinary thinking are vital for adapting to new challenges in the AI era.

Q & A

What is the main concern raised in the video script about the future of programmers in the era of AI?

The main concern is whether AI will replace programmers, and if so, what kind of programmers or people will be able to survive in the AI era.

What does Nvidia's CEO, Huang Renxun, suggest regarding children learning to program?

Huang Renxun suggests that children should not learn programming, implying that learning computer science may not be as important in the future.

What is the goal of the coding example presented in the script?

The goal is to implement a subtitle following effect in a video editing software called Jianying.

How does the video editor, Jianying, handle the default animation duration for subtitles?

By default, Jianying sets the animation duration for subtitles to 0.5 seconds, which is indicated by a small arrow under each subtitle.

What issue did the AI, Claude, encounter when trying to write code to adjust the animation duration to match the length of the subtitles?

Claude encountered difficulty in finding the correct correspondence between the animations and the subtitles, resulting in the code not functioning as intended.

What are the three stages of capabilities discussed in the script for completing the task of adjusting subtitle animations?

The three stages are: 1) Thinking of a possible solution, 2) Proficiency in programming languages to write code, and 3) Analyzing and solving problems when the results do not meet expectations.

According to the script, which level of programmers are most at risk of being replaced by AI?

Junior programmers are most at risk, as they are primarily focused on the second stage of capabilities, which is writing code based on clear instructions and specifications.

What is the importance of learning computer science according to the script's perspective?

Learning computer science is important because it teaches problem-solving skills, the ability to understand and define requirements, and the capacity to learn new technologies quickly, which are not easily replaced by AI.

What is 'Prompt engineering' and why is it considered a core skill in the AI era?

Prompt engineering is the ability to effectively communicate with AI using human language. It is a core skill because it enables better interaction with AI and helps in solving problems more efficiently.

What are some strategies suggested in the script to train the ability to think of possible solutions when encountering problems?

The strategies include having broad domain knowledge, maintaining curiosity and an exploratory spirit, and focusing on core capabilities instead of getting caught up in learning superficial tools and techniques.

What is the final conclusion of the script regarding the future of programmers and AI?

The conclusion is that computer science is still necessary as it teaches problem-solving skills, one should improve their learning abilities to master AI technologies, and those who do not continue learning will be quickly eliminated.