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US AI companies OpenAI and Anthropic are engaging in a price war while Chinese rivals rapidly advance, challenging their market dominance.
Chinese AI researchers are increasingly using X (formerly Twitter) to share their work, recruit talent, and shape global AI conversations, filling the gap left by more reserved Western counterparts.
Nearly 200 U.S. startups have urged the Trump administration to avoid blocking access to Chinese open-weight AI models, warning the move could harm U.S. AI innovation and competitiveness.
US open source AI lab Arcee argues Chinese AI models are not inherently dangerous, urging focus on responsible deployment rather than blanket restrictions.
A new Chinese AI model, Kimi K3, has triggered a global selloff in tech stocks, prompting comparisons to the DeepSeek shock of early 2025. The reaction highlights investor anxiety over China's growing AI influence.
Kimi's new open-weight model K3, with 2.8 trillion parameters, nearly matches top-tier models like Claude Fable 5 and GPT 5.6 Sol, while signaling the end of cheap Chinese AI.
Chinese AI models are outperforming Western systems in cost efficiency, with a 30% advantage over OpenRouter benchmarks, as US companies increasingly adopt cheaper alternatives.
Chinese AI startup DeepSeek has raised over $7.4 billion in its first external funding round, valuing the company at $50 billion. The investment underscores strong confidence in its AI capabilities and growth potential.
DeepSeek has closed a $7 billion funding round with an unusual structure, valuing the company between $52 billion and $59 billion. The funding highlights both the company’s disruptive potential and a novel approach to investment.
Chinese AI startup Deepseek plans a record $7.35 billion funding round ahead of its V4.1 launch, while Core Automation, founded by ex-OpenAI researcher Jerry Tworek, has quadrupled its valuation in weeks.
Chinese AI firm SenseTime releases new image model optimized for speed and domestic chips amid US restrictions. The move reflects a broader trend of Chinese companies building independent AI ecosystems.
Researchers from Stanford and Princeton found that Chinese AI models are more likely than their Western counterparts to dodge political questions or deliver inaccurate answers. This self-censorship reflects the influence of local regulations on AI development.
