The New York Times AI·
The Chinese company’s models have won over developers worldwide, but they are open source — so they can be used and modified freely.
Read full articleAlibaba's reprieve highlights the growing tension in US-China tech relations, potentially influencing future legal and policy frameworks. The post Alibaba wins reprieve from US lobbying restrictions after Pentagon blacklist appeared first on Crypto Briefing.
Alibaba's shift to monetizing Qwen AI models may reshape enterprise AI strategies, intensifying competition with OpenAI and Anthropic. The post Alibaba struggles to monetize popular Qwen AI models at Shanghai fair appeared first on Crypto Briefing.
Alibaba will ban employees from using Anthropic’s AI coding tool Claude Code from July 10, classifying it as high-risk software and directing staff to use the company’s own Qoder tool instead, according to multiple reports. The decision follows the surfacing of a Reddit post alleging that a version of Claude Code had been secretly configured […]
Alibaba has prohibited employees from using Anthropic's Claude Code, labeling it as high-risk software.
China's AI regulations may set a global precedent, influencing how tech giants manage AI-human interactions and emotional dependency issues. The post ByteDance, Alibaba disable AI companion features ahead of new Chinese regulations appeared first on Crypto Briefing.
The judge's decision could reshape US-China tech relations, influencing future legal frameworks and lobbying dynamics for global firms. The post Federal judge orders Pentagon to grant Alibaba reprieve from lobbying law appeared first on Crypto Briefing.
Chinese tech giant Alibaba has ordered staff to stop using Anthropic's Claude Code, after it was found to be flagging users connecting from China. But Anthropic is already trying its best to stop Chinese firms from using Claude at all, and accuses Alibaba of running large "distillation" campaigns against it, saying it deployed around 25,000 fake accounts to train its own models on Claude.
Junyang Lin, the former technical lead of Alibaba's Qwen, walked through the model family in a talk "towards a generalist model / agent," then expanded it in an essay. We read both for practitioners: Qwen3 hybrid thinking modes and dynamic thinking budgets, where the merge fell short, the shift from reasoning thinking to agentic thinking, why agentic RL infrastructure is harder, and where reward hacking bites. The post Qwen’s Former Lead on What Hybrid Thinking Got Wrong — and Why He Now Backs Agents appeared first on MarkTechPost.
