According to Casey Lau, some US tech companies such as Airbnb are relying heavily on Chinese open source AI models and he specifically referenced Qwen in a post on X on December 3, 2025, source Casey Lau on X. According to Alibaba Cloud, Qwen is an open source large language model family with commercially usable weights that are publicly available to developers, source Alibaba Cloud Qwen documentation. For crypto market positioning, the AI and Big Data token category is tracked for sector performance by CoinMarketCap, providing a sector level gauge to watch alongside AI exposed equities when enterprise AI adoption headlines circulate, source CoinMarketCap category data.

According to @EmberCN, Gradient launched Parallax, a decentralized AI inference engine that enables anyone to deploy models for use cases including personal trading agents, virtual companions, and personal memory, with early support from Qwen, LMSYS, Kimi, and MiniMax, source: @EmberCN. According to @EmberCN, Gradient positions itself as a global open intelligent ecosystem where users can train, extend, and deploy their own models and agents to keep AI from being monopolized and to turn it into a public resource, source: @EmberCN. According to @EmberCN, the project raised a seed round in the tens of millions of dollars from Pantera Capital, Multicoin Capital, and Sequoia China, providing funding for product rollout and ecosystem growth, source: @EmberCN. According to @EmberCN, the decentralization-first approach is designed to protect privacy and autonomy while enabling broad participation in building intelligence, a foundation relevant for traders evaluating trustworthy agent architectures and open AI infrastructure, source: @EmberCN.