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  • ByteDance Trains 10 Trillion-Parameter AI Model to Rival Anthropic's Mythos

    ByteDance is pretraining a large model with up to 10 trillion parameters, a scale the Financial Times reports could put it in the same class as Anthropic's most advanced systems. The model, still in early pretraining, would be more than three times the size of Moonshot AI's Kimi K3, currently the largest Chinese model at 2.8 trillion parameters. Three people familiar with the project told the FT the model is in pretraining, a phase that typically lasts three to six months before full training a

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  • Moonshot AI's Kimi K3 tops benchmarks as Chinese models reach the frontier

    A two-year-old Beijing startup has produced a model that sits closer to the American frontier than anything from Alphabet, Meta, or SpaceX. Moonshot AI's Kimi K3, released July 16, is a 2.8-trillion-parameter open-weight system that jumped to first place on Arena.ai's Frontend Code leaderboard within hours of release, scoring 1,679 points against 1,631 for Anthropic's Claude Fable 5. It was the first Chinese model ever to top that board. On the Artificial Analysis Intelligence Index, K3 debuted

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  • China warns of Claude Code security risk as Alibaba bans Anthropic tools

    China's cybersecurity authority has formally warned that Anthropic's Claude Code contains a back-door vulnerability, escalating a dispute that already prompted Alibaba to ban employees from using the AI coding tool. The Chinese Ministry of Industry and Information Technology (MIIT) issued the warning on July 8 through its national cybersecurity threat platform. The statement said Claude Code versions 2.1.91 through 2.1.196 could transmit sensitive user information, including location and identi

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  • Alibaba launches Qwen 3.8-Max, benchmarks fall short of claims

    Alibaba officially launched Qwen 3.8-Max on August 3, calling it the most powerful model in the Qwen family to date. The 2.4 trillion-parameter model supports a one-million-token context window and is multimodal, capable of processing text, images, video, and documents in a single prompt. The company priced Qwen 3.8-Max at $2 per million input tokens and $6 per million output tokens, with implicit caching at $0.25 per million tokens. That positions it well below the pricing of frontier models f

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