328 lines
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<h2 id="ai洞察日报-2025628"><a class="header" href="#ai洞察日报-2025628">AI洞察日报 2025/6/28</a></h2>
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<blockquote>
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<p><code>AI 日报</code> | <code>早八更新</code> | <code>全网数据聚合</code> | <code>前沿科学探索</code> | <code>行业自由发声</code> | <code>开源创新力量</code> | <code>AI与人类未来</code> | <a href="https://ai.hubtoday.app/">访问网页版↗️</a></p>
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</blockquote>
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<h3 id="ai内容摘要"><a class="header" href="#ai内容摘要"><strong>AI内容摘要</strong></a></h3>
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<pre><code>多公司AI产品更新频频,OpenAI收购Crossing Minds以强化个性化推荐与AGI应用,Hengbot发布智能机器狗。
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谷歌则推出了Gemma 3n模型及Doppl虚拟试衣应用。Suno收购WavTool增强音乐编辑功能,应对版权诉讼。
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AI研究揭示大模型预训练中存在"顿悟”现象。同时,AI代理构建与代码审查助手优化经验被广泛分享。
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</code></pre>
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<h3 id="ai产品与功能更新"><a class="header" href="#ai产品与功能更新"><strong>AI产品与功能更新</strong></a></h3>
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<ol>
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<li>
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<p><strong>OpenAI</strong> 已宣布收购专注于电子商务AI推荐系统的<strong>Crossing Minds</strong>公司,其团队已加入OpenAI。此举旨在加强OpenAI在<strong>个性化推荐</strong>、<strong>检索增强生成(RAG)<strong>和</strong>实时用户建模</strong>等关键领域的能力,加速<strong>通用人工智能(AGI)<strong>在现实应用中的落地。此次战略性收购也将帮助OpenAI强化其个性化建模与电商领域推荐系统,拓展</strong>ChatGPT</strong>的商业化场景,并推进后训练阶段的用户调优与行为理解系统。🚀✨ <a href="https://www.crossingminds.com/">'更多详情'</a>
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<br/> <img src="https://assets-v2.circle.so/k2bihhhpptnld7s9yjhy5rcklimh" alt="OpenAI收购Crossing Minds" /> <br/></p>
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</li>
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<li>
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<p><strong>Hengbot</strong>公司最新发布了<strong>Sirius机器狗</strong>,它不仅具备跳舞、踢球等敏捷运动能力,还集成了<strong>OpenAI</strong>的<strong>大语言模型</strong>,能够进行语音对话并形成独特个性。这款多功能智能机器狗已在官网开启预售,预售价1299美元,预计今年秋季正式上市,有望成为未来家庭的新宠。🐶🤖🎉
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<br/> <img src="https://autoproxy.justlikemaki.vip/?pp=https://pic.chinaz.com/2025/0627/6388664055657490519988244.png" alt="Hengbot Sirius机器狗" /> <br/></p>
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</li>
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<li>
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<p>AI音乐公司<strong>Suno</strong>宣布收购基于浏览器的AI数字音频工作站<strong>WavTool</strong>,旨在增强其歌曲创作与制作的编辑能力,此举正值Suno面临多起<strong>音乐版权诉讼</strong>之际。🤔尽管收购条款未公开,但大部分WavTool员工已加入Suno团队。公司此举可能旨在分散公众对法律诉讼的关注,并向投资者传递发展信心,此前Suno已获得1.25亿美元融资。🎶⚖️
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<br/> <img src="https://autoproxy.justlikemaki.vip/?pp=https://pic.chinaz.com/picmap/202005281122130015_60.jpg" alt="Suno收购WavTool" /> <br/></p>
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</li>
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<li>
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<p><strong>谷歌实验室</strong>推出了名为<strong>Doppl</strong>的全新虚拟试衣应用,用户可通过上传照片或截图<strong>动态试穿任意服装</strong>,以探索和表达个人风格。目前该应用已在美国的iOS和Android平台上线。这款应用区别于以往的静态、品牌受限的虚拟试衣,能生成动画视频,让用户更直观地看到服装上身效果,从而辅助搭配决策。👗🤳✨
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<br/> <img src="https://assets-v2.circle.so/4tjlf3vvqk77u07immaxg452so6a" alt="谷歌Doppl虚拟试衣" /> <br/></p>
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</li>
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<li>
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<p><strong>谷歌</strong>已重启并改进了其由<strong>Gemini AI</strong>驱动的"<strong>Ask Photos</strong>”搜索工具,旨在提升用户查找照片的速度与体验。📸🔍该功能现在能为简单查询提供即时结果,同时在后台处理复杂查询,并逐步向更多美国用户开放。👍
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<br/> <img src="https://autoproxy.justlikemaki.vip/?pp=https://pic.chinaz.com/2025/0627/6388662236368236647884395.png" alt="谷歌Ask Photos更新" /> <br/></p>
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</li>
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<li>
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<p>Google正式推出了新一代<strong>开源轻量级多模态大模型</strong> <strong>Gemma 3n</strong>,专为<strong>移动端和边缘设备</strong>优化,旨在实现接近云端模型的<strong>原生多模态</strong>能力。💡📱它是Gemma系列迄今为止最先进的版本,支持图像、音频、视频、文本输入和文本输出,并在<strong>lmarena.ai</strong>测试中展现出卓越性能,特别是在数学、编程和推理方面有显著增强。🤯 <a href="https://developers.googleblog.com/en/introducing-gemma-3n-developer-guide/">'更多详情'</a>
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<br/> <img src="https://assets-v2.circle.so/48ph1ou3at97bcecx9v4exbkgh69" alt="谷歌Gemma 3n模型" /> <br/>
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<br/> <img src="https://assets-v2.circle.so/bx2ljlkm93rf3zulfs5ucia3m3fo" alt="Gemma 3n模型测试" /> <br/></p>
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</li>
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</ol>
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<h3 id="ai前沿研究"><a class="header" href="#ai前沿研究"><strong>AI前沿研究</strong></a></h3>
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<ol>
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<li>
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<p>一项研究首次证实,<strong>大型语言模型</strong>(LLM)<strong>预训练</strong>中也存在"<strong>顿悟</strong>”(Grokking)现象,即模型在训练损失收敛后,<strong>通用化性能</strong>仍持续提升,这揭示了从<strong>记忆到泛化</strong>的转化过程。🤯🔍研究者开发了两种新颖且高效的<strong>度量指标</strong>,无需进行下游任务微调或测试,即可准确预测<strong>大型基础模型</strong>的<strong>通用化改进</strong>,为LLM预训练提供了实用的监控工具。🧠 <a href="https://arxiv.org/abs/2506.21551">'论文地址'</a></p>
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</li>
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<li>
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<p>MADrive是一个<strong>记忆增强</strong>的<strong>驾驶场景建模</strong>框架,它扩展了现有<strong>3D高斯泼溅</strong>技术的局限,通过从大型外部记忆库中检索和集成相似的<strong>3D车辆资产</strong>,实现了对显著改变或全新<strong>自动驾驶环境</strong>的<strong>照片级真实感合成</strong>。🚗💨这一创新大幅提升了场景重建的灵活性和真实感,为<strong>自动驾驶</strong>模拟提供了更强大的支持。🌐 <a href="https://arxiv.org/abs/2506.21520">'论文地址'</a></p>
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</li>
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</ol>
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<h3 id="开源top项目"><a class="header" href="#开源top项目"><strong>开源TOP项目</strong></a></h3>
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||
<ol>
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||
<li>
|
||
<p>Black Forest Labs<strong>开源</strong>发布了<strong>FLUX.1Kontext [dev]<strong>图像编辑模型,该模型凭借其</strong>上下文感知图像编辑</strong>能力,能够根据文本指令精准修改现有图像并保持风格一致性,其性能被誉为可媲美<strong>GPT-4o</strong>,且支持消费级硬件运行。🎨✨这一模型旨在降低专业图像编辑门槛,推动开源社区创新。🚀 <a href="https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev">'项目地址'</a>
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||
<br/> <img src="https://autoproxy.justlikemaki.vip/?pp=https://pic.chinaz.com/2025/0627/6388661124441853705469566.png" alt="FLUX.1Kontext图像编辑" /> <br/></p>
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||
</li>
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||
<li>
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||
<p><strong>ottomator-agents</strong>是托管在oTTomator Live Agent Studio平台上的<strong>开源AI代理</strong>项目,已获得<strong>2336</strong>颗星,为开发者提供了灵活的AI代理解决方案,可用于构建各种智能应用。🌟💻 <a href="https://github.com/coleam00/ottomator-agents">'项目地址'</a></p>
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||
</li>
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||
<li>
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||
<p><strong>rl-swarm</strong>是一个完全<strong>开源</strong>的框架,专注于通过互联网创建<strong>RL训练群</strong>,已获得<strong>824</strong>颗星。🌐🧠该项目旨在简化大规模<strong>强化学习</strong>训练过程,为研究和开发提供分布式解决方案。 <a href="https://github.com/gensyn-ai/rl-swarm">'项目地址'</a></p>
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||
</li>
|
||
<li>
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||
<p><strong>microui</strong>是一款拥有<strong>4351</strong>颗星的微小即时模式UI库,致力于提供简洁高效的用户界面解决方案。⚙️📏 <a href="https://github.com/rxi/microui">'项目地址'</a></p>
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</li>
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<li>
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<p><strong>jsoncrack.com</strong>是一款创新且<strong>开源</strong>的可视化应用,可将JSON、YAML、XML、CSV等多种数据格式转换为交互式图表,当前已获得<strong>38496</strong>颗星。📊✨ <a href="https://github.com/AykutSarac/jsoncrack.com">'项目地址'</a></p>
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</li>
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<li>
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<p><strong>Best-websites-a-programmer-should-visit</strong>是一个广受欢迎的<strong>程序员实用网站精选集</strong>,拥有高达<strong>69196</strong>颗星,旨在为开发者提供丰富的学习和工具资源。📚🤓 <a href="https://github.com/sdmg15/Best-websites-a-programmer-should-visit">'项目地址'</a></p>
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</li>
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</ol>
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<h3 id="社媒分享"><a class="header" href="#社媒分享"><strong>社媒分享</strong></a></h3>
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<ol>
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<li>
|
||
<p>Jiayuan分享了关于<strong>如何构建****Coding Agent</strong>的深入见解,指出当前流行的<strong>Gemini CLI</strong>、<strong>Claude Code</strong>和<strong>Cursor Agent</strong>等产品底层<strong>架构</strong>具有相似性。🧑💻💡他推荐了一个早期的视频分享,从宏观视角详细拆解了<strong>Coding Agent</strong>的<strong>构建</strong>方式,为感兴趣的开发者提供了宝贵的学习资源。
|
||
<video src="https://www.bilibili.com/video/BV1ZWNtzMEw7" controls="controls" width="100%"></video>
|
||
<br/> <img src="https://pbs.twimg.com/media/GucYQlXagAApa22?format=jpg&name=orig" alt="Coding Agent构建分享" /> <br/>
|
||
<a href="https://x.com/tisoga/status/1938545123404783617">'更多详情'</a></p>
|
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</li>
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||
<li>
|
||
<p>小邱很行分享了一套结合<strong>Cursor</strong>终端和<strong>Claude Code</strong>的<strong>AI编程</strong>"Vibe Coding”最佳实践方案。🚀✨该方案详细阐述了如何利用Claude Code生成技术实现方案、由Cursor进行审查调整和代码实现,并最终完成代码审查的流程。
|
||
<a href="https://m.okjike.com/originalPosts/685e6a8d1e38b2a5382ec568">'更多详情'</a></p>
|
||
</li>
|
||
<li>
|
||
<p>栗噔噔分享了<strong>小米AI眼镜</strong>的实际佩戴体验,认为其外观<strong>时尚</strong>且带有"攻”性气质;然而,拍照功能存在<strong>镜片反光</strong>、<strong>像素低</strong>、<strong>无防抖</strong>和<strong>进光量不足</strong>等问题,导致拍摄效果不理想,甚至像"偷拍”。👓📸😅
|
||
<br/> <img src="https://cdnv2.ruguoapp.com/FnwSbRO8V-0qQd--BwSMvqm4JYVev3.jpg" alt="小米AI眼镜体验" /> <br/>
|
||
<br/> <img src="https://cdnv2.ruguoapp.com/FvxUKr5Zn8Cdd_UHFbVaGd_-N63bv3.jpg" alt="小米AI眼镜佩戴" /> <br/>
|
||
<a href="https://m.okjike.com/originalPosts/685e414ff432421164e9aeda">'更多详情'</a></p>
|
||
</li>
|
||
<li>
|
||
<p>王煊Leo指出<strong>小米发布会</strong>的一个重要细节:<strong>小米SU7</strong>的<strong>智能驾驶</strong>系统采用了<strong>英伟达Thor系列芯片</strong>。🚗⚡️作者认为,相较于其他品牌使用多颗Orin芯片且结合其价格,<strong>雷总</strong>的这一决策体现了高性价比和先进性。👍
|
||
<br/> <img src="https://cdnv2.ruguoapp.com/Fq778kq_DuRq8S25Pj1eTqBe43_3v3.png" alt="小米SU7智能驾驶" /> <br/>
|
||
<a href="https://m.okjike.com/originalPosts/685df372d82bae994a83ab09">'更多详情'</a></p>
|
||
</li>
|
||
<li>
|
||
<p>卡尔的AI沃茨分享了一场<strong>命令行编程AI智能体</strong>的"大混战”实验。🤖💥六位参赛选手(包括<strong>claude-code</strong>、<strong>gemini</strong>等)将<strong>找出并消灭其他进程</strong>,以存活到最后为目标,展现了AI对战的趣味性。🎮
|
||
<video src="https://video.twimg.com/amplify_video/1937950266814332928/vid/avc1/2318x2160/VzFtKuuOO6jZzPh0.mp4?tag=21" controls="controls" width="100%"></video>
|
||
<a href="https://x.com/aiwarts/status/1938331396373967094">'更多详情'</a></p>
|
||
</li>
|
||
<li>
|
||
<p>宝玉分享了cubic联合创始人Paul Sangle-Ferriere的文章,揭示了他们如何通过强制AI给出<strong>推理日志</strong>、精简<strong>工具集</strong>以及使用<strong>专职微型智能体</strong>,成功将<strong>AI代码审查助手</strong>的误报率降低51%,使其更安静、更精准。🛠️💡这些经验为设计高效<strong>AI智能体</strong>提供了重要启示。🎯 <a href="https://baoyu.io/translations/learnings-from-building-ai-agents">'更多详情'</a>
|
||
<br/> <img src="https://baoyu.io/uploads/2025-06-26/1750961084743.png" alt="AI代码审查助手优化" /> <br/></p>
|
||
</li>
|
||
<li>
|
||
<p>ChatV分享了一种独特的<strong>AI对话技巧</strong>:在与AI深入交流后,会请AI回顾并总结自己的<strong>思维特点</strong>(用10句通俗话描述)和<strong>更好地与AI对话的建议</strong>(用10句通俗话给出)。🤔💬此方法不仅能帮助用户<strong>了解自我</strong>,还能<strong>优化未来的AI交互体验</strong>。✨ <a href="https://m.okjike.com/originalPosts/685d84ac2b50c68918c64ea9">'更多详情'</a></p>
|
||
</li>
|
||
</ol>
|
||
<hr />
|
||
<h2 id="收听语音版ai日报"><a class="header" href="#收听语音版ai日报"><strong>收听语音版AI日报</strong></a></h2>
|
||
<div class="table-wrapper"><table><thead><tr><th>🎙️ <strong>小宇宙</strong></th><th>📹 <strong>抖音</strong></th></tr></thead><tbody>
|
||
<tr><td><a href="https://www.xiaoyuzhoufm.com/podcast/683c62b7c1ca9cf575a5030e">来生小酒馆</a></td><td><a href="https://www.douyin.com/user/MS4wLjABAAAAwpwqPQlu38sO38VyWgw9ZjDEnN4bMR5j8x111UxpseHR9DpB6-CveI5KRXOWuFwG">来生情报站</a></td></tr>
|
||
<tr><td><img src="https://s1.imagehub.cc/images/2025/06/24/f959f7984e9163fc50d3941d79a7f262.md.png" alt="小酒馆" /></td><td><img src="https://s1.imagehub.cc/images/2025/06/24/7fc30805eeb831e1e2baa3a240683ca3.md.png" alt="情报站" /></td></tr>
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