"I look at the current blockchain, just like I looked at AI in 2016", friends around me have sighed like this more than once.
In mid-2021, many artificial intelligence companies temporarily terminated their listings, causing an uproar in the industry. The issue of commercialization of AI enterprises has once again been brought to the fore.
More than 60 years of AI tide ebb and flow
The concept of artificial intelligence began at the Dartmouth Conference in 1956. In the following years, it was the pioneer era of artificial intelligence, with a large number of successful AI programs and new research directions emerging. In 1958, the artificial neural network—Perceptron—proposed by computer scientist Frank Rosenblatt pushed AI to its first development climax. In 1970, due to the previous excessive optimism about AI, the public became suspicious of its development. With the cancellation of research funding, AI entered the first trough.
2006 Dartmouth Conference parties reunite
In the late 1970s and early 1980s, the birth of "expert system" marked the transition of artificial intelligence from theoretical research to practical application, and the second golden age came. At the same time, the Hopflied Neural Network (Hopflied Neural Network) proposed that the BP algorithm (Back Propagation) appeared, making it possible to train large-scale neural networks. Then, because the expert system can only deal with problems in specific domains, it cannot form common sense concepts, and it is impossible to build real intelligence. At the same time, the high maintenance costs caused by it make people disappointed in AI again.
AI Development History - Domain Arrangement
The third wave of AI we are in benefits from the combined effect of algorithms, data, and computing power. In 2006, Professor Hinton proposed the concept of "deep learning" neural network, which improved the ability of machine self-learning. Subsequently, breakthroughs in deep learning algorithms in speech and visual recognition have greatly improved the accuracy of AI applications.
Large-scale application "a long way to go"
It is not difficult to see that since its birth more than 60 years ago, the two troughs of artificial intelligence have focused on the market landing. The market economy is the core driving force of industrial development, but for the current AI companies, the business model is not yet mature, and it will be a "protracted battle" to implement large-scale applications and achieve large-scale profits, which also restricts the development of AI. One of the main factors. Coincidentally, this is also the current "stumbling block" on the development of blockchain, which has also aroused concerns in the industry about "blockchain repeating the mistakes of AI".
In the view of Cao Shenghu, CEO of Yuhu Technology, such worries are too "unfounded" and unnecessary. Instead of worrying about things that have not happened, it is better to do what can be done first.
Cao Shenghu believes that artificial intelligence is productivity, and blockchain is production relations, and both technologies are essentially serving data elements. The problems encountered at this stage of artificial intelligence reflect that there is no good production relationship, and pure productivity cannot achieve rapid and compliant development in the digital world. The role of the blockchain in determining the rights of data elements, transactions, and traceability of the entire process will help artificial intelligence obtain real data in a compliant manner, and at the same time prove the compliant use of data by artificial intelligence algorithms and the effectiveness of algorithms. The combination of artificial intelligence and blockchain will greatly advance the development of the digital world.
China's blockchain may take the lead in the world
When talking about the future, Cao Shenghu is full of confidence in the future of China's blockchain. He pointed out that it is difficult for a single technology to meet the needs of the industry, and the development of cutting-edge technologies such as AI, big data, and 5G has cleared the frontier obstacles for the development of the blockchain, allowing the blockchain to intervene well; , China's blockchain policy has great advantages, especially since the national ministries and commissions issued documents supporting the development of the blockchain industry, various localities have responded one after another, laying a policy foundation for the development of blockchain. In addition, the potential of the Chinese market is unquestionable. As the country with the largest population in the world and one of the largest economies in the world, it is certain that it has the world's largest stage for experimentation and exploration.
For blockchain companies such as Yuhu, when the "dark clouds" above their heads are wiped away, who can quickly mediate the vain and aggressive mentality in the early stage of the industry, sink into the depths of the industry with a more pragmatic attitude, and learn to adapt to the unpredictable With slow accumulation and improvement in the capital market and complicated business environment, who will be able to gain a place in the development of the industry faster.