How big is the impact of artificial intelligence technology-generated content (AIGC)?
When the latest AI chat robot ChatGPT platform incubated by the OpenAI Foundation founded by Elon Musk took the online world by storm with its powerful writing and conversation capabilities. ChatGPT shocked users, including academia and the tech industry, with its thoughtful and comprehensive (if inaccurate) responses to questions. The CEO of search giant Google was shocked and felt threatened.
When was the last time this kind of threat was made? The impact of Toutiao on traditional news is that when leading e-commerce companies were still eyeing JD.com and Pinduoduo, who would have thought that it would be video streaming players such as Douyin and Kuaishou that would subvert the e-commerce industry.
No matter how long ago, the well-known handheld camera that hid new technology was destroyed by the data camera, then the Nokia mobile phone, which was at its peak, collapsed in the face of the impact of Apple's new system.
Aaron Levie, CEO of Box, a well-known technology investor, shared his thoughts: "When a new technology makes your brain think indescribably, a new era is coming. Early Google , Firefox, AWS, and iPhone have all done it. ChatGPT gives people this feeling.”
If we look at the root cause, AIGC’s technology has the ability to continuously evolve, which can liberate people’s energy, and through Computing resources solve the problem of "entropy" in the digital world.
Just like the universe, living things, or the human world, the "entropy increase principle" tells us that the movement of the physical world will only become more and more chaotic and disordered, and the entropy will only become larger and larger. Entropy increase is an irreversible process. In other words, all existence is "uncertain" which is the normal state, and "certainty" which is the abnormal state. The digital world faces the same problem, and the digital world is only getting more chaotic. AIGC can autonomously inject energy to resist "disorder".
The famous Austrian physicist Schrödinger concluded based on the motion state of microscopic particles in quantum mechanics that "all things in nature tend to move from order to disorder." Similarly, according to Schrödinger's discovery theory, for all things in nature , to resist "disorder", we need to inject energy; for social development, to resist "uncertainty", we also need to inject energy.
As we all know, as early as 60 years ago, the development of "artificial intelligence" has experienced two troughs. The reasons for these two troughs are on the one hand affected by three factors of artificial intelligence, computing power, algorithm and Data constraints. On the one hand, due to the development of ICT and the lack of data interconnection, artificial intelligence is like water without a source. With the technological development of ICT, cloud computing, mobile Internet, big data and other technologies have already entered a vigorous development. Coupled with the development of 5G, the Internet of Things, and the massive growth of data, artificial intelligence has once again entered people's field of vision. Especially in the past ten years, artificial intelligence has made breakthroughs and developments from algorithms to applications. The 2022 V2 version of IDC's "Global Artificial Intelligence Expenditure Guide" released by IDC pointed out that "artificial intelligence currently has mature applications in various industry scenarios. AI Through deep learning, computer vision, image recognition and other technologies, autonomous judgment and behavioral learning can be completed to solve various complex tasks and lay an important foundation for the intelligent transformation of the industry."
The emergence of AIGC has achieved From "disorder" to "order" in the digital world, at the same time, for the digital world, the generation of data is unlimited, and the driving force based on data can be said to be inexhaustible at present. Therefore, AIGC can greatly improve production efficiency by making good use of data.
We cannot determine the development trend of AI technology, but what we can determine is that everyone has an increasing demand for data value.
We cannot be sure whether AI development will replace humans in the future, but what we can be sure of is that driving AI requires massive amounts of data and the orderly management of these data.
Faced with the uncertain digital world and uncertain technological innovation trends, how can unlimited data drive the development of the digital economy? Only through integrated development, continuous trial and error, and continuous openness can productivity be released. Let massive data flow in an orderly manner and better tap its value.
Of course, like other artificial intelligence tools, AIGC tools, including ChatGPT, have the potential to disrupt creative industries, perpetuate bias and spread misinformation. But flaws or not, isn’t this going to generate a lot of business activities and market opportunities? One can almost complete most tasks of natural language processing, such as question-oriented search, reading comprehension, semantic reasoning, machine translation, article generation and automatic question and answer, etc. Isn’t such an evolving tool worth looking forward to?
Finally remember the three laws of robotics set by science fiction writer Isaac Asimov for robots:
First Law: A robot may not harm a human being, or allow a human being to be harmed.
Second Law: Robots must obey human orders unless the orders conflict with the First Law.
Third Law: A robot can protect itself without violating the First or Second Law.
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