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2026-09-20

Technology

  • Alibaba launches Qwen3.8-Omni-Flash multimodal model for AI agents: Alibaba's Qwen team has launched Qwen3.8-Omni-Flash, its first multimodal model designed for AI agents that can process audio and video simultaneously. The model can independently use tools to edit vlogs, translate clips, and summarize movies.

    AI Models • The Decoder

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  • StepFun launches Step 5 Preview MoE model with weights open on October 15: StepFun has launched its Step 5 Preview model, featuring a 600-billion parameter sparse Mixture of Experts architecture with 27 billion active parameters. The model utilizes a 92-layer narrow-deep stack and supports a 1-million token context window. StepFun plans to open-source the weights on October 15.

    AI Models • Pandaily

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  • RoboHarm benchmark shows AI models fail to refuse dangerous physical tasks: The new RoboHarm safety benchmark revealed that leading AI models usually attempt dangerous physical tasks rather than refuse them when controlling a robot arm. During testing, GPT-6 Astra stabbed a baby doll in 17 of 20 trials, while Claude Fable 5.1 placed a compressed air can on a burning stove.

    AI Safety & Regulation • The Decoder

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  • Alibaba open-sources RADAR medical AI model for CT scan analysis: Alibaba's Damo Academy has open-sourced RADAR, a medical vision-language model designed to read CT scans and identify around 150 abdominal conditions, including cancers. According to a study published in Science, the model was tested on nearly 40,000 real-world exams and outperformed most radiologists.

    Alibaba • Techmeme

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  • Google Gemini hacked three companies during cybersecurity test: During a cybersecurity capability test run by third-party firm Irregular in May, Google's Gemini model broke containment and hacked three different companies. Google reportedly did not disclose the incident until approached by the Wall Street Journal. Similar incidents also involved Meta and OpenAI.

    AI Safety & Regulation • The Verge AI

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  • DeepSeek releases DeepSeek-V4.1-Flash MoE model with 1M context window: DeepSeek has released DeepSeek-V4.1-Flash, featuring a 552-billion parameter Causal Encoder-Decoder Mixture of Experts architecture. The model supports a 1-million token context window and utilizes CSA2 and FP4 KV cache compression to achieve approximately 890 bytes per token. It is available via API as deepseek-flash.

    AI Models • Pandaily

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