Moonshot AI

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Moonshot AI is a Chinese AI company that develops the Kimi model family and raised $3.5 billion in 2026. Recent coverage centers on the Kimi K3.1 Pro release, which improved financial research, coding and 3D modeling, and on subscriber quota resets after launch rate-limiting. Stories also covered OpenAI and Anthropic accusations of data extraction and distillation, reported Beijing probes, possible Hong Kong and Shanghai listings, and a $2 billion annualized revenue target for 2026.

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Moonshot resets subscriber quotas after Kimi K3.1 Pro launch issues

Moonshot AI apologized for rate limiting and unnecessary quota consumption after launching Kimi K3.1 Pro, offering all subscribers a 25% monthly quota reset, equal to one week's usage, with those below 25% reset to zero. It also adjusted parameters to cut unnecessary subagent calls and output length. Moonshot had computing capacity issues after K3's launch, as Chinese AI labs face chip shortages due to US export controls.

Yahoo News Canada ·

Are Chinese firms handing US data to US firms?

Foreign Policy reports Anthropic accused Moonshot AI, DeepSeek and others of distilling Claude at scale, including one case routing at least 300,000 user requests to Claude over 10 days. The data reportedly included surveillance material, internal code, credentials and other sensitive information, raising security concerns.

Foreign Policy ·

Report: China narrows AI gap with U.S.

The report says China has been rapidly closing its AI lead over the U.S. in model capabilities and research despite U.S. export restrictions on advanced chips and equipment. Experts describe the U.S.–China model gap as narrowing, noting Chinese efforts such as Moonshot AI’s Kimi K3.

ABC News - Breaking News, Latest News and Videos ·

Open Chinese models narrow gap with frontier models

A Mozilla report finds that the performance gap between Chinese open-weight models and US frontier models has narrowed to roughly 4.4 months. It highlights Moonshot AI's Kimi K3 scoring three points behind Anthropic's Fable 5 on a composite index while costing about 30% as much, suggesting open models are preferable for most routine workloads.

Ars Technica ·
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