News
Dialogue with Runjian Shares: AI applications are not just about model capabilities, but also about closed-loop capabilities from token to value creation.
2 min read
Source: 36氪
On July 17, the 2026 World Artificial Intelligence Conference opened in Shanghai. As an important content window for 36 Krypton to go deep into the WAIC scene for the third consecutive year, the "Krypton Future" live broadcast room also opened live dialogue simultaneously on the first day of the conference. Ding Yong, director and vice president of Runjian Co., Ltd., accepted a special interview with 36 Krypton’s “Krypton Talk about the Future” at the WAIC site. Focusing on topics such as Token production, application implementation, value closed loop and overseas layout, he shared Runjian Co., Ltd.’s exploration of building Token full-stack service capabilities and promoting the implementation of enterprise-level AI. The theme of this year's WAIC is "Intelligent Partners, Creating the Future Together". As the artificial intelligence industry enters the application deepening stage, the industry's focus is gradually shifting from model capability competition to application value creation. Compared with the discussions around parameter scale, model performance and technological breakthroughs in the past few years, the AI industry in 2026 is focusing on a more core issue: how AI can truly enter enterprise business processes, how to lower the application threshold, and how to create value through actual business results. Under this trend, Token has become an important basic resource connecting computing power, models and applications. For enterprises, the implementation of AI requires not only stronger model capabilities, but also low-cost, high-efficiency, safe and reliable basic support, as well as an application service system that can penetrate into business scenarios. In other words, competition in the AI industry is moving from "model capability competition" to "value closed-loop capability competition." Runjian's exploration is focused in this direction: relying on the Wuxiang Cloud Valley Token Factory, it reduces the cost threshold for enterprises to use AI by building full-stack capabilities for token production, application, deployment and services, and through the AI FDE (AI Forward Deployed Engineer) delivery model, it combines tools, tokens and industry scenarios to help enterprises tap the value of AI applications. For enterprise-level AI, the real key to implementation is not just to provide technical capabilities, but to allow AI to enter business sites and continue to create measurable business value. The following is a transcript of the conversation, edited by 36kr: 36kr: Welcome Mr. Ding to our 36kr “Krpton Talk Future Live Room”. This year