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HomeColumnsTagsKimi
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Kimi

Articles about "Kimi"

4 articles

4 articles

Anthropic Names Seven Chinese Labs for "Illicit Distillation": What Companies Should Check
ZEROCK

Anthropic Names Seven Chinese Labs for "Illicit Distillation": What Companies Should Check

On September 10, 2026, Anthropic named Moonshot AI, DeepSeek, Alibaba, Zhipu, Xiaomi, MiniMax and SenseTime in a report on "illicit distillation" of Claude. Its most striking claim: Moonshot silently forwarded users' Kimi requests to Claude and displayed Claude's answers as Kimi's. Two days earlier, the NSA, CISA and FBI had named six companies in a joint advisory; China's foreign ministry called the accusations a smear, and Moonshot had already denied distillation in July. This article lays out each side from primary sources, explains what distillation is, why "not knowing which model answered" is the real problem for companies, and how to check where your data actually went.

2026-09-12Ryuta Hamamoto
Quietly Downgrading the Model Is a Trust Problem|Fable 5 and Open Weights
Tech Trends

Quietly Downgrading the Model Is a Trust Problem|Fable 5 and Open Weights

In June 2026 Anthropic routed some Fable 5 requests to Opus 4.8. Safety was the stated reason. Buying one SKU and receiving another is still a procurement problem. That is why I side with Grok, some Chinese open-weight labs, and NVIDIA Nemotron.

2026-08-14Ryuta Hamamoto
Is Losing to Frontier Models Inevitable? Kimi K3's Comeback, the Limits of Scaling, and What Layer Strategy Tells Us About the AI Race Ahead
AI Consulting

Is Losing to Frontier Models Inevitable? Kimi K3's Comeback, the Limits of Scaling, and What Layer Strategy Tells Us About the AI Race Ahead

Is it really true that "the leading frontier models take everything and latecomers have no choice but to lose"?

2026-07-26Ryuta Hamamoto
Why Kimi Built a World-Class LLM|Decoding Zhilin Yang's GTC Talk
Tech Trends

Why Kimi Built a World-Class LLM|Decoding Zhilin Yang's GTC Talk

How did Kimi (Moonshot AI) build an open-weight LLM regarded as world-class, including in multimodal tasks?

2026-07-19Ryuta Hamamoto

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