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.