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关注 AI 研究者、开发者与机构的动态
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@alexandr_wang@alexandr_wangAI 评分2525 @EMostaque@EMostaqueAI 评分2323 @emollick@emollickAI 评分3232 是的,我有 voice.md 文件。是的,我有智能体以读者视角做最终审阅。是的,我有其他智能体专门排查 LLM 腔调。是的,我让同一模型家族的不同模型用不同方法审查面向用户的文本。但这仍然不够。
@EMostaque@EMostaqueAI 评分2121 @alexandr_wang@alexandr_wangAI 评分1616 @emollick@emollickAI 评分2828 讽刺的是,如今用大语言模型跑长时间智能体任务时,最让人烦的既不是写代码,也不是报错或幻觉,而是随着任务推进,它们的语言会因漂移而变得越来越差 名字里就写着呢!写得好一点不行吗!
@alexandr_wang@alexandr_wangAI 评分1212 @emollick@emollickAI 评分2121 @kimmonismus@kimmonismusAI 评分2828 
@Yuchenj_UW@Yuchenj_UWAI 评分1919 想象一下两年后: GPT-6 Astra 级别的开源模型在每台 MacBook 上本地运行。 而 AI Twitter 还在争论同一件事: “开源 AI 会导致人类灭绝吗?”
@Thom_Wolf@Thom_WolfAI 评分99 @EMostaque@EMostaqueAI 评分55 在法国 AI X 上炸场 https://t.co/x2OonweGMS https://t.co/E6YPttHKdq

@alexandr_wang@alexandr_wangAI 评分2222 @deedydas@deedydasAI 评分3333 @kimmonismus@kimmonismusAI 评分2020 @SemiAnalysis_@SemiAnalysis_精选AI 评分8181 
推荐理由:从英伟达收购 Hugging Face 后的生态走向切入,作者说明了把部分工作迁往 ModelScope 的现实考量。
@omarsar0@omarsar0AI 评分1717 只需把这个集合喂给你的智能体,让它基于这些为你推荐新的用例。花点时间了解 Jev 是什么、能做什么也很有用。我很快还会发布一份完整指南。
@cb_doge@cb_dogeAI 评分77 @cb_doge@cb_dogeAI 评分3434 
@kimmonismus@kimmonismusAI 评分3838 @omarsar0@omarsar0AI 评分2323 
@omarsar0@omarsar0AI 评分1616 
@cb_doge@cb_dogeAI 评分55 @cb_doge@cb_dogeAI 评分44 
@PixVerse_@PixVerse_AI 评分55 @PixVerse_@PixVerse_AI 评分2828 
@emollick@emollickAI 评分3232 @kimmonismus@kimmonismusAI 评分6464
引用@Alibaba_Qwen@Alibaba_QwenMeet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨 A unified model for both generation and editing, delivering top-tier quality in a lightweight package. Highlights: 👀 - Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs. - Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images. - Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products. - Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography. Start to create your next masterpiece with Qwen-Image-2.1! 🖼️ - Blog: https://t.co/tVntKOi7jy - GitHub: https://t.co/cRj66wCrWr - Model Scope: https://t.co/64d7Ix6YFR - Hugging Face: https://t.co/njHSBXUbVS
@_akhaliq@_akhaliqAI 评分4545 Qwen-Image-2.1 已在 Hugging Face 发布 app:https://t.co/xqMwyX6AjB https://t.co/mnHqhWzo5R

@PixVerse_@PixVerse_AI 评分55 @PixVerse_@PixVerse_AI 评分2929 
Qwen@Alibaba_Qwen精选AI 评分6666引用ComfyUI@ComfyUIQwen-Image-2.1 is now supported in ComfyUI! Open weights. One 7B checkpoint that generates and edits. → Image generation at native 2K → Instruction editing from up to 10 reference images in a single pass → RGBA output, alpha included
推荐理由:原文列出了原生 2K 生成、多参考图编辑等具体能力,读者可以据此判断是否迁移到 ComfyUI 工作流。
@cb_doge@cb_doge精选AI 评分7474 
推荐理由:FCC 文件披露 Starmind 单星重量约为 Starlink V3 的两倍,读者可据此了解轨道 AI 数据中心的规模设想。
@OpenBMB@OpenBMBAI 评分4141 

@Alibaba_Qwen@Alibaba_QwenAI 评分4949 Qwen-Image-2.1 相比前代还提升了视觉质量,尤其是在文本和肖像的美学方面。以下是几个文本渲染的示例。https://t.co/wzoZmyBWv9


@Alibaba_Qwen@Alibaba_QwenAI 评分5151 通义千问发布 Qwen-Image-2.1,该模型支持多种图像编辑任务,并在这些任务之间平衡性能。官方给出的示例是,给定一张三视图角色参考图,模型可以生成完整的分镜画面。


@Alibaba_Qwen@Alibaba_QwenAI 评分5151 

@Alibaba_Qwen@Alibaba_QwenAI 评分4949 Qwen-Image-2.1 最多支持 10 张参考图像,并能生成高质量结果。https://t.co/TuTvzEGhy8


@Alibaba_Qwen@Alibaba_QwenAI 评分6363 Qwen-Image-2.1 现已原生支持透明图像生成,同时可直接对透明图像进行编辑。该更新由通义千问官方账号在 X 上公布,并附上示例链接。



@Alibaba_Qwen@Alibaba_QwenAI 评分55 