The US Needs an Open Source AI Intervention to Beat China
Briefly

The US Needs an Open Source AI Intervention to Beat China
"Since 2022, America has had a solid lead in artificial intelligence thanks to advanced models from high-flying companies like OpenAI, Google DeepMind, Anthropic, and xAI. A growing number of experts, however, worry that the US is starting to fall behind when it comes to minting open-weight AI models that can be downloaded, adapted, and run locally. Open models from Chinese companies like Kimi, Z.ai, Alibaba, and DeepSeek are now rapidly gaining popularity among researchers and engineers worldwide,"
"The most advanced models from US companies can only be accessed through a chatbot interface or by sending queries to companies' servers through an application programming interface, or API. OpenAI and Google have released open-weight models, but they are far less capable than the Chinese offerings, which are better suited to modification and offer more developer support. Chinese model makers also benefit from open-sourcing their models, since the best ideas and tweaks from outside researchers can be folded into future releases."
Since 2022, the United States has maintained a lead in AI driven by advanced models from major companies. That lead is eroding specifically in the area of open-weight models that can be downloaded, modified, and run locally. Chinese firms such as Kimi, Z.ai, Alibaba, and DeepSeek are rapidly producing open models with stronger developer support and greater adaptability. Many top US models remain accessible only via chatbot interfaces or APIs, and the US open-weight releases lag in capability. Open models enable external improvements, on-premises deployment for sensitive data, and broader innovation across startups and researchers.
Read at WIRED
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