With the continuous development of artificial intelligence, the main work of human beings will be to select and improve the 'chopping board' generated by artificial intelligence; Choose the best of them or distill the best. Human work will become "DJ-like," basically not making music themselves, but collecting various pieces of music and using device apps to create a collage-like piece of music. Knowledge of music theory is not necessary for DJs, what is needed is not theory-based composition ability, but inspiration for sample editing, i.e. "what kind of clips to combine and how to deal with equipment to synthesize cool music". Simply put, "clipping and compositing" instead of "creating from scratch" is the highlight of DJ creativity.
This is very similar to using AI. Having mastered AI as a tool, there is no need to "create from scratch" with both hands; AI generates clipboards, and humans edit and synthesize and deliver results. Therefore, the ability to enter good prompts and generate a good clipboard will play a key role in the quality of the final deliverable. More than knowledge, what is needed is the talent to make artificial intelligence work as it intended, express it in words, and synthesize it. Using AI requires a talent for inspiration, and like DJs, "clip compositing" is the highlight of human creativity.
There is no doubt that AI will become unparalleled as a human "tool". In the medium and long term, the scope of what only humans can do will change little by little but not reach zero, and the main job will be to pick the "clipboard" generated by AI and choose the best or optimize. Since AI now makes mistakes so often, it's dangerous to rely on AI in areas you don't understand. On the contrary, it will be useful to understand that AI can be used within the scope of the field, even if it is necessary to tirelessly check for errors, and because there is no need to start from scratch, it can greatly improve work efficiency. These changes are happening in all areas, letting AI do the work and then checking and correcting mistakes with its own eyes; Improving overall performance in this way will become a way of working for people who are active in the new era.
The stronger the AI capabilities, the more humans are left to do what only humans can do. i.e. "funny" and "eccentric". Artificial intelligence is a knowledgeable honor student (sometimes lying is scary), and not without creativity, especially GPT-4's ChatGPT and Bing, which can receive and output text, images, etc. that can understand the "meaning" of photos and illustrations. But the work of artificial intelligence is just a sample of accumulated historical data, and although human creativity is also born by referring to past data, only humans can add unique "episodes".
Of course, you can also instruct AI to add "episodes", but they are also samples of past data. The root of the question is "What is creativity and where does it come from?" "To some extent, no matter how AI evolves, even if it can do "interesting" and "grotesque", it is impossible to achieve a higher level of effect than humans"; On the other hand, there are indeed those who believe that AI will surpass humans.
AI can make terrible mistakes, but it looks at large amounts of data to come up with consistent answers and is a very rational entity. It is this rationality that humans seek from artificial intelligence in the first place to be reasonable. And the more popular artificial intelligence that is good at rationality, the less human beings are to see rationality; As rationality is secured by new technologies, we will enter a new era in which social evaluation is no longer "an integrative and consistent top student answer" but "interesting rather than unusual"; As the self that existed before, whether you can add new ideas that you have never had before is the soul. In other words, showing a sharp personality instead of getting an average score will be more popular than ever. A society that values "mediocrity first" and restricts the development of individuality has finally entered an era of impatient change.
要点
●人工智能时代的工作将变得像DJ一样,创建现有选项的拼贴画。
● 生成式人工智能提供的信息在某些部分并不准确,为了仔细检查其内容,需要该领域的人类知识。
●随着基于数据提供“理性”选项的AI性能的提高,能做到“有趣”和“不寻常”的人的重要性将会增加。
For example, when people who grew up in a Chinese-speaking environment have to create documents in English, the AI of "language predictive transformation" is an indispensable tool and very helpful. Most of our work partners are native English speakers, and in many cases they have to express their opinions while actively communicating or sending emails in English on the app.
What to do is to enter the text in ChatGPT and prompt "Convert it to English" or "Chinese" translation without doing any "translation" work. Without tools, you have to spend a lot of time learning English grammar vocabulary, but due to the limited time, there is a trade-off between "learning English" and "thinking at work". It's best to let AI handle English that you're not good at, so you can focus on what you're good at, like technology-related research, investment, and education; This is the best option for both individuals and society.
However, calligraphy, judo, flower arranging, or working as a SCUBA diving instructor can only be meaningful by learning with the body. However, not all learning in the world needs to be mastered by oneself, so it is very effective to use tools for various "tasks" related to learning. By using AI tools, the parts that take time to do and are not good at are handed over to AI, and it will be easier for professionals to show creativity, special skills, and personality development more freely. To ban the use of tools is to put unnecessary shackles on oneself, which is a shame. Whether to learn on your own or use tools effectively depends on personal goals, and all learning should be simplified using artificial intelligence.
Under the premise of using tools, spending limited brain memory and time available for learning on (Prompt Engineering) to quickly improve the level of AI dialogue presentation, and future abilities and talents can be expanded. There is an idea that it may lead to social fragmentation if individuals have too little common denominator of abilities, but from a neurodiversity perspective, it is important to respect the individuality of the brain and nerves and use them in society; I personally think that everyone can decide what to learn and what to do with AI. This can be difficult in traditional societies that value "mediocrity" and "remembering past successful patterns first".