了解AI 玩转AI When AI becomes sufficiently powerful and mature, will humans still need to learn? How should we coexist with it, and what will the relationship be like?

Today you see many valuable social-training topics being brought into university courses, and in the future you will also see AI become a discipline, because it is already unstoppable; being able to encounter it will be a major driving force in future work. First, you need to build up knowledge and insights before you can direct it.

Human art is a luxury. “Real” handmade objects have their inherent costs. Artists have always struggled to turn this into value, and future students will most likely have missed the golden age of industrialized art and entertainment. Although this is unfortunate, I do not think it will kill human art; it is simply emotion and mindset expressed in another form.

The new wave of AI will open up a new paradigm of even newer jobs for almost every classic profession. In the future there will be prompt engineers designing AI systems, from medicine to engineering, with the film and multimedia industries in between.

This era is turning toward creativity, away from the challenge of dealing with technical complexity or acquiring skills. Artificial intelligence (AI) heralds the end of the traditional, arduous journey of skill development and practice.

So most people must shift from being creators—for example, “handmade” meticulous production of a film—to now directing AI models and using your influence to do it for you.

Just as when the typewriter was invented, stenographers were threatened, but the typewriter created “typists” for them; the arrival of the automobile turned coachmen into drivers; the steam engine accelerated the rapid development of industrial handicrafts; the power changed, and identities kept changing. Likewise, computers brought new employment opportunities to typists.

Imagine that while studying medicine, doctors will learn prompt engineering for their specific field, which will again bring domain-specific prompts to surgeons and clinicians.

In short, just like the gap between humans and machines: yesterday it was pure machine language for interacting with computers, which continuously evolved and brought second-, third-, and fourth-generation languages such as BASIC, C, C++, and Python; and now this gap can shrink to the point of communicating directly with machines in your own native language.

Tomorrow this gap will shrink even further, turning your thoughts into reality without even writing down a prompt.