In surprising news, in conjunction with the lunar new year, Alibaba introduced its new artificial intelligence (AI) model Qwen 2.5-Max. This serendipitous release marks the growing rivalry in China’s rapidly developing field of artificial intelligence, especially after DeepSeek just landed on the scene with a disruptive innovation. In their WeChat announcement, Alibaba has purportedly stated that Qwen 2.5-Max is “very, very, mostly all of the time” better than any of the models yet developed (DeepSeek-V3, GPT-4o, and Llama-3.1-405B, respectively).
All you need to know about Alibaba new artificial intelligence (AI) model Qwen 2.5-Max
DeepSeek’s explosive growth over the past 3 weeks has generated tremors both across the ocean and in this country. Being a relatively cheap option in the field of the development and deployment of AI, it has been put under increasing scrutiny by the multi-billion dollar budgets of US-based AI companies. After the release of sustained generative AI assistants, DeepSeek-V3 and R1, the phenomenon of completing work by this first Chinese product, took place in the industry.
Not only did ByteDance (parent of TikTok) recently also improve its enterprise deep neural network but has also claimed superior performance of o1 than OpenAI’s o1 in a subset of the benchmark tests. This mirrors DeepSeek’s assertions about its R1 model’s capabilities. As a result of a “price war” initiated by the previous V2 Model of DeepSeek’s company, the Chinese AI industry has lost its competitors Alibaba, Baidu, and Tencent to cut the market price of their AI services, respectively.
Alibaba’s motive
For instance, DeepSeek’s founder, Liang Wenfeng, has admitted publicly that the goal of DeepSeek is to reach Approximate General Intelligence (AGI), not to engage in price wars. DeepSeek, a completely different 3-dimensional organization for a minimalist, evidence-based 7-item scale mostly drawn from recently graduating students, is a different construct concerning the ubiquitous, hierarchical constructs of today’s technological megacorporations. According to Liang, whereas the agile methodology is more than suitable for innovation, it is more suitable for the rapidly changing AI space.
Meanwhile, he claims that even though, in theory, they are supposed to have such an endowment, large tech companies’ capabilities to generate continuous innovation in foundation models are potentially affected by a ceiling. The deployment of Alibaba’s Qwen 2.5-Max may serve as a final solution to this issue and is consistent with Alibaba’s commitment to exploring the boundaries of AI technology.
Also, see: CEO Sam Altman may visit India as OpenAI faces legal heat