Building the world's smartest models may no longer be enough to win.

Kimi K3's early performance is fueling alarm in Silicon Valley and Washington.

For years, the global discussion about artificial intelligence revolved around large language models, algorithms and computing power. The competition appeared straightforward:…

The launch, which comes a month after Anthropic's Fable and Mythos models were abruptly withdrawn by the U.S. government due to security concerns, underscores how quickly China's…

By Tracy Qu and Raffaele Huang

The company says its model outperforms some cutting-edge U.S. systems, the latest sign that Chinese labs can rival American counterparts | World News

Kimi's K3 model has caught up to the American frontier.

Moonshot AI's Kimi K3 has taken the top spot in a front-end coding leaderboard, giving Sacks fresh ammunition against tighter U.S. AI rules.

Moonshot AI has released Kimi K3, a model that by early assessments matches Anthropic's Opus 4.8, built by a team of just 300 people. Even OpenAI strategist Dean W. Ball calls it…

David Sacks warns US is losing the AI race after Moonshot AI launches Kimi K3, a 2.8 trillion parameter model priced 80% cheaper than Anthropic's Fable 5.

China's prominent models — like Kimi K3 — have recently closed the gap.

Building the world's smartest models may no longer be enough to win.

Chinese companies are disrupting the global AI landscape with affordable, customizable models, intensifying competition and raising concerns for US tech giants like OpenAI.

The latest AI model out of China is causing another meltdown in Silicon Valley, highlighting the divide over the right way to run the AI race.

Within days, Moonshot and Alibaba unveiled frontier models they claim rival OpenAI and Anthropic.

Chinese AI models challenge U.S. dominance. Alibaba's best AI model by August 2026 at 0.4% YES, while Anthropic leads at 90.5% YES.

Analysts say Beijing-based start-up Moonshot’s 2.8 trillion-parameter large language model could narrow the gap with the US within ‘weeks’.

Talk of banning Chinese-made open-weight LLMs reveals the challenge of turning AI into a business.