Mato Njavro from Luxembourg Business School Talks NIO Experience: "It's a Very Beautiful and Good Electric Car"

Deep News
Yesterday

The 2025 Sustainable Global Leaders Conference & First Green Industry and Sustainable Consumption Expo took place from October 16 to 18 in the Expo Park of Huangpu District, Shanghai. Mato Njavro, Dean of the Zagreb School of Economics and Management in Croatia and co-founder of the Luxembourg Business School, attended and gave a speech.

Mato Njavro observed that the current public understanding of AI is often limited to specific programs: when randomly asked "What is AI?" on the streets of China, people often respond "DeepSeek," while in Europe, the answer might be "DeepSeek" or "ChatGPT." He believes that the core trend for the future of AI development will be the deep integration of the network and the physical world, with AI no longer viewed as a singular program but rather permeating more physical scenarios, and China is likely to play a key role in this integration process. He cited his personal experience during the conference travel, mentioning that the NIO electric car he rode was "very beautiful and very good." The car, as a high-quality physical hardware, has deeply embedded AI technology, showcasing the results of the "AI + Hardware" integration. Mato Njavro emphasized that China is currently the country with the highest number of installed robots globally, accumulating rich resources in the "AI + Hardware" sector, and this integration model is expected to expand into more industries such as healthcare and intelligent manufacturing in the future, spawning a wealth of innovative application scenarios and injecting new momentum into sustainable development.

From a global collaboration perspective, Mato Njavro stated that AI technology and ESG issues have transcended national borders and become global challenges and opportunities. He called for enhanced communication and understanding among the EU, China, the U.S., and other stakeholders to jointly build a unified global framework for AI governance by reaching consensus agreements to regulate AI. He particularly pointed out that under the backdrop of ESG development, exploring how to leverage AI technology to achieve sustainable empowerment is a key direction for various countries and industries in the future.

Mato Njavro further analyzed the challenges facing AI development. He referenced the human brain, which supports creativity and scientific discovery through a massive number of neurons while consuming energy equivalent to just a light bulb. In contrast, the development of artificial general intelligence (AGI) has involved investments of tens of billions or even hundreds of billions of dollars to enhance the computing and analytical capabilities of data centers, resulting in energy consumption levels far exceeding those of the human brain in processing data. Although AI tools like DeepSeek and ChatGPT produce impressive biomimetic results, they currently lack the ability to achieve breakthrough scientific discoveries. He cited an example where scientists input data from the geocentric model of pre-Galileo times into a complex AI model, which was unable to advance beyond cognitive limitations and could not complete the conceptual evolution from the geocentric to the heliocentric theory.

Moreover, he referenced a Stanford University professor's viewpoint, indicating that while most AI models can efficiently complete tasks and produce astonishing results like a "genius youth," they occasionally produce unreliable outputs, creating unsupported "hallucinations." Mato Njavro stated that experts in related fields can identify anomalies and rectify them timely to avoid the risks and misinformation spread by AI. However, young groups such as children and students may blindly trust AI, even believing that there is no need to study fundamental subjects like history or biology, as AI can solve all problems. He warned that if the new generation becomes absolutely dependent on AI responses, it could lead to severe issues like cognitive bias. He also emphasized that while AI is an excellent tool for enhancing efficiency and optimizing teaching, it cannot replace human autonomous learning and deep thinking, and its value and limitations should be viewed rationally.

The 2025 Sustainable Global Leaders Conference is co-hosted by the World Green Design Organization (WGDO) and SINA Group, with support from the Beijing office of the International Financial Reporting Standards Foundation (IFRS Foundation) and the SINA Finance and WGDO Beijing Office, and supported by the Huangpu District government of Shanghai.

SINA Statement: All conference transcripts are organized from live shorthand and have not been reviewed by the speakers. SINA.net publishes this article to convey more information and does not imply endorsement of the viewpoints or confirmation of the descriptions.

For more extensive information and accurate interpretations, please download the SINA Finance APP.

Editor: Li Siyang

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10