Baidu Wang Haifeng: AI subverts the scientific research paradigm. In the future, more and more Nobel Prizes will be related to AI.
Author：Eve Cole
Update Time：2024-11-16 18:18:01
From October 22nd to 24th, the 2024 World Science and Technology and Development Forum hosted by the China Association for Science and Technology was held in Beijing. Baidu Chief Technology Officer and National Outstanding Engineer Wang Haifeng attended the opening ceremony and the special meeting "Artificial Intelligence Governance Innovation to Build an International Trust Foundation for Cultivating a Technology Governance Ecosystem". Wang Haifeng said at the meeting that intelligent agent technology has become more and more mature and the threshold is getting lower and lower, which will promote the explosion of large model applications.
Talking about the 2024 Nobel Prize in Physics and Chemistry being awarded to artificial intelligence scientists, Wang Haifeng believes that both Science for AI and AI for Science have withstood the verification of application and the test of time, and have been proven to be beneficial to related fields. Had a disruptive impact. As artificial intelligence empowers thousands of industries more and more deeply, artificial intelligence will inevitably be more cross-integrated with various disciplines, and the scientific research paradigm will also undergo disruptive changes. Future Nobel Prizes will increasingly be related to artificial intelligence. Wang Haifeng said that the dawn of general artificial intelligence has emerged. Large models bring the dawn of general artificial intelligence, which can be viewed from two perspectives. One is the versatility of artificial intelligence technology, and the other is the comprehensiveness of capabilities. In terms of the versatility of technology, large models are becoming more and more versatile in solving different tasks, languages, modalities, and scenarios; in terms of comprehensive capabilities, understanding, generation, logic, and memory are the four pillars of artificial intelligence. Basic abilities, other typical abilities of artificial intelligence, whether it is creation, problem solving, coding, planning, decision-making, etc., are basically the comprehensive application of these four basic abilities. The stronger these four abilities are, the closer they are to general artificial intelligence. Looking forward to the development trend of artificial intelligence technology, Wang Haifeng believes that in the next few years, the law of scale will still be valid, and higher quality and larger scale data and larger models will bring stronger capabilities; there is still room for improvement in large language models, and more Modally unified large models will become more and more easy to use and practical; agent technology will become more mature and the threshold will become lower and lower, which will promote the explosion of large model applications. According to reports, the Wenxin knowledge-enhanced large model learns from the integration of trillions of data and hundreds of billions of knowledge, breaking through knowledge internalization and external application technology. The model effect and efficiency are significantly improved, and it breaks through the intelligent agent technology based on thinking models, including understanding, Planning, reflection and evolution, the ability to use tools to complete complex tasks, and self-evolution in interaction with the environment, intelligent agent technology further expands the boundaries of large model capabilities. "The development of artificial intelligence must be people-oriented, uphold AI for good, drive development with innovation, and welcome the accelerated arrival of the intelligent era." Wang Haifeng said.
