From March 28 to 31, the Boao Forum for Asia Annual Conference 2023 will be held in Hainan. How to integrate and develop the real economy and the digital economy, how to accelerate the deepening of industrial digitalization, and what changes will generative AI bring to the industrial economy? These topics have become the hot spots of this year's forum.
Shen Dou, executive vice president of Baidu Group and president of Baidu Smart Cloud Business Group, said at the forum that generative AI will bring about a substantial improvement in production efficiency and experience. This "double-effect improvement" will undoubtedly change our lives. all aspects of production. Generative AI has formed a global trend of "AI reengineering business", and enterprises are ushering in the historical opportunity of "intelligent transition".
In response to the industry's concerns about the changes brought by generative AI to the industry, computing power bottlenecks, and the relationship between humans and machines, Shen Dou answered them one by one.
Q: What changes will generative AI bring to the industrial economy in the future?
The first steam engine revolution and the second electrical revolution liberated human physical strength, and the third information revolution empowered the brain. The latest intelligence revolution replaces mental work to a certain extent, liberating human beings from some mental work. There are many scenarios where generative AI can be applied in the future, and the room for change is very large.
The changes brought about by generative AI are mainly in two aspects: the production and operation efficiency of enterprises and the user experience effect will be greatly improved.
Because of its powerful language understanding ability and relatively strong chain of thought ability, generative AI can disassemble human intentions into instructions and execute them in the system. So the future working model is likely to be a smart person to guide a bunch of robots. These robots carry out human decisions, reshaping entire production lines. Generative AI will also revolutionize human-computer interaction, making it more direct and efficient.
From production to life interaction will change. In fact, this force has already begun. Baidu is using generative AI to reengineer all products with AI.
Q: What is the biggest bottleneck in landing, and how can we break through?
Computing power is an important restrictive factor for the implementation of generative AI. For enterprises that do generative AI on a whim, computing power is a bottleneck. Enterprises that are really working in the field of artificial intelligence must be relatively well prepared, and the problem of computing power is solvable. All the people who complain about the lack of computing power today are people who do AI on a whim.
Baidu is the only company in the world that has leading self-developed products in the four layers of chip-framework-model-application. It can achieve end-to-end optimization in this four-layer architecture and greatly improve efficiency. For example, if an application is tuned and the performance is increased by 100% under the same computing power, it means that the computing power requirement can be reduced by 50%.
Q: Will many occupations and industries be affected in the future?
Every technological revolution has such worries. When the car came out, the groom said that I don’t need to do it in the future, but you just need to learn to drive a car.
Generative AI will bring a very large-scale new profession, and more than 50% of people will be "instructors" in the future. In the past, it took a long time for a person to make a PPT. In the future, the "instructor" will tell the generative AI what to talk about in the PPT, what background and style to use, and this will guide the generative AI to quickly generate a PPT that meets the needs.
In the future, the job of most people is not to actually operate on the front line, but to instruct AI how to do it. Therefore, the disappearance of a wave of occupations will definitely give birth to another wave of new occupations.