Jiang Yanyan, an associate professor at Nanjing University, emphasized with a touch of drama that in the era of AI, tokens have evolved into essential experimental consumables. Meanwhile, Li Feifei, a professor at Stanford University, highlighted that the R&D community is experiencing a fragmentation, driven by disparities in token ownership. Both viewpoints underscore that AI is reshaping the landscape of research resources, with tokens emerging as a fundamental investment in scholarly pursuits. While the industry has broadly agreed on the necessity of providing researchers with ample tokens, this agreement has yet to significantly benefit the majority of university students. These students often grapple with a scarcity of tokens, necessitating meticulous usage that escalates time costs and restricts the number of trial-and-error experiments they can conduct. Conversely, an adequate supply of tokens can afford them the liberty to explore and experiment freely.

In response to this need, Tencent has initiated the second Qingyun Scholarship, offering each recipient a token allocation valued at 300,000 yuan, along with a cash prize of 200,000 yuan. This year, the program has expanded its reach to 20 deserving master's and doctoral students from around the globe. Beyond merely providing resources, the scholarship establishes a communication platform for the winners, facilitating valuable feedback and collaboration opportunities. Young AI researchers now have unprecedented access to cutting-edge tools. The combined support of resources and networking opportunities will equip them to tackle even more formidable challenges in their fields.