Discover the AI Future
Industry Leaders Explore Infinite Possibilities for the Future
Amidst the surging tide of technological innovation, artificial intelligence stands as the most influential force. Recently, the Chang'an Club gathered industry leaders for a highly insightful AI event. The session featured dynamic discussions and compelling presentations from distinguished speakers, offering participants a deep dive into the world of artificial intelligence.

Industry Pioneer: Where Experience Meets Insight

This event featured an impressive lineup of industry leaders. Yang Zhe, co-founder of New石器 (Starship Technologies), a leading expert in the design and development of intelligent logistics products, shared practical insights on autonomous vehicles. Under his leadership, his team has been actively advancing the commercialization of self-driving technology. To date, their autonomous vehicles have been deployed in over 13 countries and 50 cities worldwide, with more than 2000 units delivered, covering a cumulative distance of 2000 million kilometers. Today, the company produces 1000 units monthly, demonstrating rapid growth momentum.
Yang Zhe reviewed the challenging journey of autonomous vehicle development—from early explorations in collaboration with Baidu, to building in-house factories for product iteration, and finally overcoming hurdles in policy, technology, and cost. These efforts gradually enabled the application of autonomous vehicle technology in logistics, significantly boosting efficiency and reducing costs. For instance, in partnerships with courier companies like SF Express, autonomous vehicles have not only replaced certain manual transport tasks but also optimized loading and unloading processes. This has increased delivery personnel productivity by 2-3 times, raised their earnings, and improved working conditions—demonstrating the immense potential of AI to empower traditional industries.
Tech Outlook: Large Models and Agents in Harmony

Jiang Jun, founder of Heichuan Technology, offered a macro-level perspective on the evolution and future trends of artificial intelligence. Starting from first principles, he analyzed the critical interplay among data, computing power, and models in AI development, detailing the transition from AI 1.0 to AI 3.0, along with the challenges faced and breakthroughs achieved at each stage.
Jiang Jun pointed out that the current development of artificial intelligence faces bottlenecks in data and computing power, while building city agents could be key to breaking through these limits. His concept of city agents aims to make everything in a city an agent; through multi-agent collaboration, vast amounts of AI data will be generated to provide "data fuel" for AI advancement. He also emphasized that agents will become the next generation of traffic entry points. Whoever achieves large-scale deployment of city agents first will gain an advantage in the US-China AI competition. To this end, he launched the Peking University AI Alliance to integrate resources across sectors and help China achieve leapfrog growth in artificial intelligence.

Zhipu AI Chief Ecosystem Officer Liu Jiang provided an in-depth analysis of large language models (LLMs) from the perspectives of technological advancement and commercial applications. He reviewed the evolution of LLMs, examining their characteristics and challenges in areas such as intelligence enhancement, data training, and application scenarios. Liu believes that although LLMs currently face bottlenecks in data availability and cost, significant growth potential remains through optimized training methods and unlocking data value.
When discussing enterprise applications, Liu Jiang emphasized starting with requirements, focusing on application scenarios, and identifying viable business models. Using AI agents as an example, he noted that enterprises should align agents with their specific operations, deeply integrating them with real-world needs while avoiding blind trends. At the same time, companies must recognize the limitations of agents and leverage technology judiciously to boost efficiency.
Innovative practices: Young talent rising

During the event, Deng Dongyang, a young entrepreneur representative from the Little Red Cat team, showcased the group's innovative achievements. A graduate of Tsinghua University's Department of Electronics, Deng co-founded the company with Cao Yilin, who holds a degree in Computer Science from Peking University. Together, they lead the team in continuous innovation within the AI application sector.
Our team developed an aviation English AI training system that helped airlines reduce training costs by over 80%. The "Mianba" AI interview assistant has redefined talent selection standards in the AI era, achieving a two-month payback period with an ROI of up to 391%. Meanwhile, the Little Red Cat platform focuses on one-click generation of AI pet portraits. Leveraging innovative KV cache and dynamic noise technologies, it reduces computational costs by 30% while improving both quality and efficiency, delivering a brand-new user experience. These achievements highlight the boundless creativity and potential of young entrepreneurs in the AI field.
Deep Dive: Shaping the Future of AI

During the roundtable discussion, guests engaged in an in-depth exchange on hot topics including the current state and future trends of AI technology, AI safety and ethics, and investment opportunities and challenges. In response to the impact of AI, guests noted that while short-term changes to work and learning may be subtle, AI will profoundly reshape human society in the long run. They urged people to proactively adapt to these changes and uncover their unique value.
Regarding AI safety and ethics, panelists recommended strengthening regulation and establishing a robust policy framework. They emphasized that companies must uphold social responsibility to ensure safe and reliable technology deployment. On AI investment, while the sector is currently hot, panelists warned of potential bubbles and urged investors to remain rational, focusing on real-world application value and monetization potential.
This AI event by Chang'an Club offered attendees a premier platform to explore cutting-edge AI technologies, gain insights into industry trends, and expand their professional networks. The event showcased the limitless potential of AI while uniting wisdom and strength for the industry's growth. With collaborative efforts from all parties, we are confident that AI will bring further surprises to social development. Let us look forward to AI technology shining even brighter in the future.
