Now you don't even need code to be a programmer. But you do still need expertise

The emergence of large language models (LLMs) has transformed the programming landscape, allowing individuals to interact with computers using natural language rather than traditional coding languages. Andrej Karpathy's assertion that "the hottest new programming language is English" highlights this shift, suggesting that programming can now be approached through a more intuitive, conversational method. However, while LLMs can assist in software development, they are not a replacement for programming expertise. Users still need to understand the underlying principles to effectively utilize these tools and correct any errors that arise. Critics, like Gary Marcus, caution against overestimating the capabilities of AI, arguing that many applications simply replicate existing solutions rather than innovate. The consensus among experts is that AI will not eliminate the need for programmers but will instead change the nature of their work, emphasizing the importance of human skills in the development process. Simon Willison, a prominent figure in this field, advocates for using LLMs as co-creators, providing valuable insights into their effective application. Ultimately, while AI is reshaping programming, it is not rendering it obsolete; rather, it marks a significant evolution in how programming is approached.

- Large language models enable programming through natural language, reducing the need for traditional coding skills.

- Expertise remains essential for correcting errors and understanding the technology's limitations.

- AI is not expected to replace programmers but will transform their roles and responsibilities.

- Critics warn against overestimating AI's capabilities, emphasizing the need for human creativity and insight.

- The evolution of programming reflects broader changes in elite professions influenced by AI technology.