AI "out of the circle"
Nowadays, digital technology is developing at an astonishing speed. AI has improved the efficiency of social production and has more truly impacted the original production order.
The outbreak of AI technology at the beginning of the year gave China the hope of further reducing costs and increasing efficiency.
Many domestic Internet companies have successively launched ChatGPT-like products. The team of Professor Qiu Xipeng of Fudan University released the first large-scale conversational language model MOSS in China, and launched the ChatGPT-like product "Wen Xin Yi Yan"...all reminding Chinese AI companies that they must accelerate their progress .
300 million workers are in danger!
In the past two months, for migrant workers, what is waiting for them is not gold, silver and silver, but jobs that are getting harder and harder to find.
"After submitting dozens of resumes, only one of them entered the group interview. In the end, only candidates who are most suitable for the project content in all aspects and who can get started immediately are selected. The competition is very fierce."
This year, it is said that the industry is gradually recovering, but the "Gold, Three Silver and Four" for workers still haven't come. Some of the jobs you don't want to do are done by AI. When AI can be used to code words, code codes, make data, and write programs, your working experience may soon be useless, and your career prospects will become blurred.
In the short term, has AI reached the level of disrupting the industry? What does this revolution mean for battering workers in the long run?
American futurist Roy Amara said:
"People always overestimate the short-term impact of a technology and underestimate its long-term impact."
Who is the most at-risk group?
That's right, it's white-collar workers, and blue-collar workers are safer. Dishwashers, plumbers, and landscaping workers are still "iron rice bowls." In the US, office and administrative jobs are most at risk of being replaced at 46%, followed by lawyers (44%), and architects and engineers (37%).
When the general environment changes and the industry enters a cold winter, all companies are trying to reduce costs and increase efficiency, and squeeze out the "bubble" generated during the expansion period. For the entire industry, AI is only a small part of the catalyst. After the cold winter, many long-standing problems in the industry began to be exposed.
"Change" is imminent
After AI can be actually applied to the project, it is obviously very difficult to race against AI. This is the most obvious impact on workers with simple daily work. Whether it is the industry or the migrant workers, "seeking change" is imminent.
ChatGPT is based on some data from the entire network, many of which come from open sources. First of all, ChatGPT is definitely an efficiency improvement, and it will soon bear fruit in all walks of life. However, if you want to develop applications in some small fields, its data is very small, and its generalization may be relatively poor in the initial stage. So I think this area is still another outlet- low code is better, configuring and creating application software through a graphical user interface, instead of relying mainly on handwritten code in the traditional mode.
Open source link: https://www.yinmaisoft.com/?from=csdn
The JNPF rapid development platform relies on the principle of low-code development technology. Therefore, it is different from the pain points of long development delivery cycle, difficult secondary development, and high technical threshold of traditional development. It provides a wealth of solutions and functional modules in the JNPF background. Most applications The construction is realized by dragging and dropping controls, which is simple and easy to use. The OA system is used to build in JNPF, and the work response speed is faster. It can build a one-stop production management system, project management system, invoicing management system, OA office system, personnel and finance, etc.
In a way, human progress is unstoppable.
The birth of an AI product generally needs to go through four modules: data preparation, model training and optimization, model management, and reasoning application. In China, a very mature whole industry chain has not yet been formed.
When artificial intelligence gradually becomes a part of people's lives, and even becomes a tool to replace our "thinking" and "creation", how to use technology correctly is really worth thinking about. Even if the entire industry is very chaotic, it will gradually get organized in the future, and everything has a process from chaos to clarity.
What do you think about this?