In the context of the rapid advancement of large language models (LLMs), traditional notions of problem-solving and proof of concept are evolving. Users highlight that instead of asking theoretical questions, one can now directly employ LLMs to create practical implementations. This shift allows for swift iterations, making previous thought pieces seem outdated. The conversation also touches on the idea of LLMs generating adaptive user interfaces and applications that respond dynamically to user needs, moving beyond static designs to more intuitive and engaging experiences. However, there are concerns about the implications of AI on human cognitive processes and psychological well-being, suggesting a need for cautious integration of AI technologies into our everyday lives.