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AI & Enterprise

What to know about open-weight models reshaping AI

Open weights, meaning the public release of a model’s trained weights, have emerged as a central topic in global debates over AI’s direction. Weights store patterns learned during training and help determine how a model responds. Users can download and run weights and tailor models for specific needs. Supporters say open weights can spur competition and broader scrutiny, while critics argue weights alone are not enough and warn of misuse. Companies differ on openness.

AI & Enterprise

Open-source AI models rise globally as U.S. companies join in

Open-source AI models are moving from challengers to the mainstream in the global AI industry. Chinese companies such as DeepSeek, Z.ai and Moonshot AI are releasing open-weight models, and U.S. firms are also joining the trend, putting pressure on closed-model leaders OpenAI and Anthropic. Moonshot AI unveiled its Kimi K3 model, while U.S. startup Thinking Machines Lab introduced its first model as open-weight. The shift is also influencing stock markets and corporate strategies.

Industry

AI industry shifts toward in-house chips as Chinese firms join in

AI model developers are increasingly seeking to secure their own AI chips, moving beyond niche efforts, as major U.S. and Chinese tech companies work to cut reliance on outside suppliers and reduce costs. OpenAI has co-developed an inference server chip with Broadcom and plans to expand its use after starting servers later this year. Reports also point to Anthropic and Chinese AI firms DeepSeek and Z.ai exploring in-house chip development.