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Monday

  1. The Beijing News

    Hands-on comparison of three AI office apps: Doubao Work, Qwen Office, and WorkBuddy

    Reporters from The Beijing News Shell Finance conducted a series of hands-on task tests on three AI office apps—Doubao Work, Qwen Office, and WorkBuddy—using the Doubao 2.1 Lite0921, Qwen3.87-Max, and Hy4 preview models, respectively. In the long-horizon task from the "2026 AI Office Sector Research Report," Doubao Work produced 10,000 words in 20 minutes 46 seconds, WorkBuddy produced 25,000 words in 21 minutes 18 seconds, and Qwen Office took over 1 hour to produce 50,000 words but consumed about 1,800 tokens, roughly 60 times that of the other two, requiring the reporter to top up 78 yuan to purchase a membership. In the multimodal tests, Doubao Work's poster and video had the highest degree of completion, and the 3D model generated by WorkBuddy was the closest to the original figurine, but when generating a comic it mistook its own icon for a teal pig face.

    Reporters from The Beijing News Shell Finance conducted a series of hands-on task tests on three AI office apps—Doubao Work, Qwen Office, and WorkBuddy—using the Doubao 2.1 Lite0921, Qwen3.87-Max, and Hy4 preview models, respectively. In the long-horizon task from the "2026 AI Office Sector Research Report," Doubao Work produced 10,000 words in 20 minutes 46 seconds, WorkBuddy produced 25,000 words in 21 minutes 18 seconds, and Qwen Office took over 1 hour to produce 50,000 words but consumed ab

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  2. Cailian Press

    Microsoft launches biological world model Quine, multiple giants double down on AI4S

    Microsoft Research has launched an experimental AI research system, Quine, building a biological multimodal world model covering genomics, proteins, chemistry, RNA, cell states, and biological imaging, and constructing an interactive harness framework that connects models, scientific tools, literature, and researchers. Microsoft has partnered with the Broad Institute, jointly established by MIT and Harvard University, to apply Quine to cancer biology research. In one case, it completed the predictive ranking of the effects of thousands of compounds on pancreatic cancer cell states over a single weekend, saving months of experimental work, but the system is still in an early research stage. In addition, Anthropic established a life sciences research team and laboratory on September 23, OpenAI launched GPT-Rosalind for life sciences in April this year, and Nvidia announced in January this year a joint effort with Eli Lilly to build an AI innovation laboratory.

    Microsoft Research has launched an experimental AI research system, Quine, building a biological multimodal world model covering genomics, proteins, chemistry, RNA, cell states, and biological imaging, and constructing an interactive harness framework that connects models, scientific tools, literature, and researchers. Microsoft has partnered with the Broad Institute, jointly established by MIT and Harvard University, to apply Quine to cancer biology research. In one case, it completed the predi

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Friday

  1. Google Research

    Google Research proposes a multi-agent framework that automatically generates long-video narratives

    Google Research has released a unified multi-agent framework for automatically generating temporally coherent long-video narratives, addressing identity drift and cascading failures in existing linear pipelines. Built on top of Gemini and Veo as an orchestration layer, the framework consists of four parts: AI video co-director uses multi-armed bandits for global creative search, CANVAS plans multi-shot visual continuity through persistent visual memory, A²RD generates segment by segment autoregressively while maintaining multimodal video memory, and VQQA uses visual question answering to generate semantic gradients for closed-loop prompt optimization. Evaluations show that AI video co-director reaches a peak quality score of 81.4 on GenAD-Bench, CANVAS improves scene-reappearance continuity on ST-Bench and HardContinuityBench, A²RD reduces layout drift on VBench-Long and LVBench-C, and VQQA achieves quality gains on T2V-CompBench, VBench2, and VBench-I2V.

    A man and woman sit at a table looking at a glowing blue 3D holographic projection of a house emerging from a blueprint.

    Google Research has released a unified multi-agent framework for automatically generating temporally coherent long-video narratives, addressing identity drift and cascading failures in existing linear pipelines. Built on top of Gemini and Veo as an orchestration layer, the framework consists of four parts: AI video co-director uses multi-armed bandits for global creative search, CANVAS plans multi-shot visual continuity through persistent visual memory, A²RD generates segment by segment autoregr

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Wednesday

  1. Latent Space

    Biosecurity Is an AI Arms Race: Radical Numerics CEO Eric Nguyen on Genomic Language Models

    Eric Nguyen, co-founder and CEO of Radical Numerics, believes that biosecurity is an AI arms race, and that models which enhance biological capabilities can equally help defenders keep pace. The company is building genomic language models (GLMs) that use chain-of-thought reasoning and multimodal perception in the language of DNA to address problems involving RNA, proteins, and more; its team previously participated in developing Evo and Evo 2 at Arc Institute. Nguyen says defenders are currently at a disadvantage in this race.

    Eric Nguyen, co-founder and CEO of Radical Numerics, believes that biosecurity is an AI arms race, and that models which enhance biological capabilities can equally help defenders keep pace. The company is building genomic language models (GLMs) that use chain-of-thought reasoning and multimodal perception in the language of DNA to address problems involving RNA, proteins, and more; its team previously participated in developing Evo and Evo 2 at Arc Institute. Nguyen says defenders are currently

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