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#产品更新

今日 77 条
9月30日周三
  2. Kling AI40

    满血版 KLING 4.0 实战演示 🎬 #Kling4 #KlingAI #KlingModeOn

    引用汗青 HQ@hq4ai

    SPARE。由 可灵 Kling 4.0 满血版生成的短片。 感谢可灵 AI 的内测邀约。本片使用 可灵 Kling 4.0 满血版全能参考生成。 满血版比 Flash 还是强不少。 - 原生 30 秒直出 - 画面与声音更清晰 - 口型匹配更精准 - 21:9 电影画幅 可灵 Kling 4.0 将于 10 月上线。 中文字幕版：

  3. Tencent Hy26

    3 条赛道。3 位赢家。去创作吧。🥇

    引用GMI Cloud@gmi_cloud

    Hy Image 3.5 preview is FREE on GMI Cloud for 7 days Generate + edit images up to 2K. Bring up to 5 reference images. Build posters, product shots, game art, and more. And we’re turning the free week into a challenge: 3 tracks. 3 winners. $1,800 in cash + credits. Start creating free 👇

  18. Aravind Srinivas62

    Perplexity 推出 Perplexity Computer 的 Automations 功能，面向持续性工作，可通过事件触发器或按计划执行操作。Automations 可与记忆、技能以及 Slack、Gmail、Outlook、Linear 等已连接应用配合使用。CEO Aravind Srinivas 表示，把公司比作汽车，配好自动化后将像自动驾驶汽车，而设置合适的自动化需要一定程度的人类技能和主动性。

    引用Perplexity@perplexity_ai

    Introducing Automations in Perplexity Computer. Automations are for ongoing work. They can take action in response to event-based triggers or on a schedule. Automations work with your memory, skills, and connected apps like Slack, Gmail, Outlook, and Linear.

9月29日周二
  4. Microsoft Research61

    Microsoft Research 发布生物研究领域 AI 系统 Quine

    Microsoft Research 推出 Quine，一个面向生物学的多模态世界模型与交互式 harness，连接科学工具、文献和研究人员。在与 Broad Institute 合作中，Quine 用于预测可驱动胰腺癌肿瘤细胞状态转变的化合物，排名第一的候选化合物在湿实验中产生了最大的预期细胞状态转变，从缩小化合物范围到确定候选名单仅用了一个周末。

    推荐理由：官方披露了系统构成和胰腺癌湿实验验证结果，读者可以据此评估AI世界模型在生物研究中的实际作用。

  7. OpenBMB30

    MiniCPM-o 4.5 现已支持 SGLang Omni v0.1.7。 为开发者提供更多灵活的运行和构建方式。

    引用Guitar Cat + LLM@GenAI_is_real

    Hi everyone, today we released SGLang Omni v0.1.7. This release includes 75 merged PRs and welcomes 8 new contributors, with 8 first-time contributions. We added MiniCPM-o 4.5, NVIDIA PersonaPlex-7B, and OmniTyper powered by MLX streaming ASR, while further improving realtime and stateful Omni serving. 1.Performance: continued optimizations for Qwen3-TTS, Qwen3-Omni, CosyVoice3, MOSS-TTS, and AuK, covering Prefill CUDA Graph, speaker/reference encoding, kernel fusion, batching, and vocoder hot paths. 2.Serving: added Omni session lifecycle, the SGLang streaming session bridge, and a shared /v1/realtime WebSocket runtime, while further improving realtime ASR and streaming serving. 3.Models & hardware: added MiniCPM-o 4.5 multimodal input and speech output, plus PersonaPlex-7B offline speech-to-speech. MiniCPM-o and MiniMax-Music3 now support Intel XPU, with further MUSA support for Qwen3-TTS. 4.Runtime: improved breakable Prefill CUDA Graph, Talker / Code2Wav colocation, priority CUDA streams, scheduler admission, and profiling infrastructure to reduce host overhead and improve high-concurrency stability. https://github.com/sgl-project/sglang-omni/releases/tag/v0.1.7 https://github.com/sgl-project/sglang-omni