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业界声音|袁辉:全行业都会与人工智能结合,其相当于基础设施能力

作者:博鳌亚洲论坛
业界声音|袁辉:全行业都会与人工智能结合,其相当于基础设施能力

袁辉

小i集团董事长兼CEO

Max YUAN

Chairman, Xiao-i Corporation

问:在这段时间里,大语言模型浪潮掀起,以ChatGPT为代表的生成式人工智能工具席卷全球,将人工智能的可能性带入了一个新的维度。你认为AI与产业结合应用的突破将发生在哪些领域?

答:全行业都会跟人工智能结合,人工智能如同空气、水、电,没有哪个行业不需要,它相当于基础设施能力;以大模型展开的AI新时代人工智能技术,有能力在同一时间推动所有行业发生颠覆性突破。

人工智能引发了第四次工业革命,会改变所有的业态以及生活,对所有行业形成巨大冲击。比如对于呼叫中心行业,通过AI赋能,以多模态机器人矩阵和适量的客服人员,可以高效率高质量地为客户服务,实现数智化转型升级。

金融行业天生的属性就是数据和算法,金融行业的客户服务、风险控制、理财投资、市场营销等各个环节、应用场景都面临着人工智能的改造,而大模型成为金融机构数字化和智能化的突破口,为金融行业提供了效率提升、个性化输出和交互能力等优势,推动金融行业加速迈向AI驱动提质增效。

大模型也会深度融入工业领域的研发设计、生产工艺、质量管理、运营控制、营销服务、组织协同和经营管理各环节,引发新的效率革命。大模型将开启重塑全球制造业的竞争格局,促进工业企业的数智融合,推动工业企业从制造向智造的发展。

问:AI在去年的突破性进展横空出世,短期内你预期哪些领域的科技革命最可能逼近“奇点”?

答:今天的人工智能远超过去的三次工业革命。人工智能的终极目标是人类所期待的“奇点”,人工智能和人类所面临的最大挑战,就是如何突破过去60年人工智能的理论框架,去颠覆和创造一个全新的体系,这才是奇点的未来。

就目前来看,人工智能过去60年来的整个底层理论框架没有发生突破,奇点没有来临,今天的大模型不是人工智能的奇点。只有在未来的5年-10年,底层理论框架、算法的结构重新被颠覆性突破,奇点才有可能来临。大模型的发展,给了所有人一个重新认知世界的机会,重新认知现实世界和虚拟世界。

这一次真正的人工智能革命最终目标,在于碳基和硅基之争,即人类是否能够重新自我觉醒。如果人类的智慧不进一步挖掘和自我觉醒的话,AI的智慧超越人类是指日可待的。

人类本身所蕴含的智慧是无尽的,但如果不去利用它,很有可能就会被机器取代。如果人类不断地探索自己,发现这个世界的真相,AI在人类面前只会是一个工具。

Q: We have recently witnessed the rise of large language models. Generative AI tools, such as ChatGPT, have taken the world by storm. In which areas do you expect to see breakthroughs in the integration of AI and industrial applications?

A: All industries will be integrated with AI. It’s like air, water, and electricity that every industry depends on it. It is equivalent to infrastructure capabilities and the new era of AI technology developed in LLMs has the ability to promote AI at the same time, to make disruptive breakthroughs in all industries.

AI has triggered the fourth industrial revolution, which will change all businesses and everyone’s life. it’ll have a huge impact on all industries. For example, in the call center industry, through AI empowerment, a multi-modal robot matrix and an appropriate number of customer service personnel can serve customers with high efficiency and high quality, achieving digital transformation and upgrading.

The inherent attributes of the financial industry are data and algorithms. All aspects and application scenarios of the financial industry, such as customer service, risk control, financial investment, and marketing, are facing the transformation that lead by AI, LLMs have become a breakthrough for the digitalization and intelligence of financial institutions, provides the financial industry with advantages such as efficiency improvement, personalized output and interactive capabilities, and promotes the financial industry to accelerate towards AI-driven improvement in quality and efficiency. At the same time, LLMs are deeply integrated into all aspects of R&D and design, production technology, quality management, operation control, marketing services, organizational collaboration, and business management in the industrial field, triggering a new efficiency revolution. LLM will begin to reshape the competitive landscape of global manufacturing, promote the integration of digital and intelligence in industrial enterprises, promote the development of industrial enterprises from manufacturing to intelligent manufacturing.

Q: AI saw significant breakthroughs in 2023. In which areas do you foresee that technology will most likely approach “singularity” in the short term?

A: Today’s AI far exceeds the three industrial revolutions in the past. The ultimate goal of AI is the “singularity” that humans are looking forward to. The biggest challenge facing AI and mankind is how to break through the theoretical framework of AI in the past 60 years to subvert and create a brand new system. This is the singularity of the future.

From the current point of view, there has been no breakthrough in the entire underlying theoretical framework of AI in the past 60 years, and the singularity has not yet arrived. Today’s LLMs are not the singularity of AI. Only in the next 5-10 years, if the underlying theoretical framework and algorithmic structure are disrupted again, will the singularity be possible. The development of LLMs gives everyone an opportunity to re-understand the world, both the real world and the virtual world.

The ultimate goal of this real AI revolution lies in the debate between carbon-based and silicon-based technologies, that is, whether humans can re-awaken themselves. If human intelligence is not further explored and self-awakened, it will be just around the corner for AI to surpass human intelligence.

The wisdom contained in human beings is endless, but if we don’t use it, it is likely to be replaced by machines. If humans continue to explore themselves and discover the truth about the world, AI will only be a tool in front of humans.

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