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<h2 id="ai洞察日报-2025630"><a class="header" href="#ai洞察日报-2025630">AI洞察日报 2025/6/30</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>CMU等推HoPE提升VLM长视频理解，人大等MokA优化多模态模型。
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开源项目涵盖生成式AI教程与AI工具库。Gary Marcus质疑纯LLM难达AGI。
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AI显著降低创业门槛，促投资思变，鼓励拥抱协作把握时代机遇。
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</code></pre>
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<h3 id="ai前沿研究"><a class="header" href="#ai前沿研究">AI前沿研究</a></h3>
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<ol>
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<li>
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<p><strong>CMU</strong>和<strong>小红书</strong>团队携手，提出了一项创新技术——<strong>HoPE</strong>（<strong>Hybrid of Position Embedding</strong>）<strong>混合位置编码</strong>！🚀他们发现，现有的<strong>多模态RoPE</strong>在处理<strong>长上下文语义建模</strong>时有点"力不从心”。于是，HoPE巧妙地引入了<strong>零频率时间建模</strong>和<strong>动态缩放</strong>策略，这就像给<strong>视觉语言模型</strong>（<strong>VLM</strong>）装上了"长跑专用鞋”，显著增强了它们在<strong>长视频理解</strong>和<strong>检索</strong>任务中的<strong>长度泛化能力</strong>，直接冲向了最优表现！💡太酷了！ <a href="https://arxiv.org/pdf/2505.20444">'论文地址'</a> <a href="https://github.com/hrlics/HoPE">'项目地址'</a></p>
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<li>
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<p>惊艳！<strong>中国人民大学</strong>和<strong>上海人工智能实验室</strong>团队带来了新突破——<strong>MokA</strong>（<strong>Multimodal low-rank Adaptation</strong>）方法！🤯他们发现，微调<strong>多模态大模型</strong>（<strong>MLLM</strong>）时，常常顾此失彼，忽视了<strong>单模态独立建模</strong>和<strong>模态间交互</strong>的平衡。MokA则像个平衡大师，通过<strong>模态特异A矩阵</strong>、<strong>跨模态注意力机制</strong>和<strong>共享B矩阵</strong>的巧妙结合，完美解决了这个问题，让多模态任务的性能"蹭蹭蹭”地往上涨！✨太赞了！ <a href="https://arxiv.org/abs/2506.05191">'论文地址'</a> <a href="https://gewu-lab.github.io/MokA">'更多详情'</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">开源TOP项目</a></h3>
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<ol>
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<li>
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<p>"<strong>generative-ai-for-beginners</strong>”项目（拥有86547颗星🌟）推出了21节课程，专为初学者打造，手把手教你掌握<strong>生成式AI</strong>的<strong>构建技能</strong>！想成为AI魔法师？快来学习吧！💪✨ <a href="https://github.com/microsoft/generative-ai-for-beginners">'项目地址'</a></p>
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</li>
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<li>
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<p>"<strong>system-prompts-and-models-of-ai-tools</strong>”项目（已获62777颗星✨）简直是个宝藏库！它汇集了Cursor、Devin等热门AI工具和代理的<strong>系统提示</strong>、<strong>工具</strong>和<strong>AI模型</strong>，为你提供一站式的全面参考，帮你玩转AI工具！📚💡 <a href="https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools">'项目地址'</a></p>
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</li>
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<li>
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<p>"<strong>storm</strong>”项目（已获24892颗星⭐）可厉害了！它是一个由<strong>LLM驱动的知识管理系统</strong>，能像个小小研究员一样，自主研究特定主题，然后生成带<strong>引用</strong>的完整<strong>报告</strong>。写论文、做调研，简直是神助手！🧠✍️ <a href="https://github.com/stanford-oval/storm">'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">社媒分享</a></h3>
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<p>知名AI学者<strong>Gary Marcus</strong>又"开炮”了！🤔他援引<strong>MIT、芝加哥大学、哈佛大学</strong>的论文，直言不讳地指出，纯粹的<strong>LLM</strong>压根儿造不出<strong>通用人工智能</strong>（<strong>AGI</strong>）！为啥呢？因为它们存在"<strong>波将金式理解</strong>”（虚假理解）和<strong>概念不一致性</strong>。简单说就是，AI在考试时可能表现亮眼，但真正理解和运用概念时就露馅了。研究还发现，像<strong>GPT-4o</strong>这样的<strong>LLM</strong>，在明确定义概念后，一旦应用到分类、生成、编辑等实际任务中，表现就会直线下降📉，甚至内部对同一思想都有<strong>冲突表征</strong>。这可引发了<strong>谷歌DeepMind科学家Prateek Jain</strong>等业界大咖的广泛关注和测试！看来，AI通往AGI的路还长着呢！💡 <a href="https://www.jiqizhixin.com/articles/2025-06-29-5">'更多详情'</a>
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<br/> <img src="https://image.jiqizhixin.com/uploads/editor/d3e2a41e-6387-466a-88c6-a4c55621ae40/640.png" alt="LLM概念不一致性分析" /> <br/></p>
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<p><strong>Tom Huang</strong>揭秘了<strong>Cursor</strong>核心开发者的高效秘籍！🚀想更高效地利用Cursor？他们教你用"<strong>并行Agents</strong>”！通过巧妙结合<strong>Tab</strong>、<strong>Formed Tab</strong>和<strong>Background Agent</strong>，你可以搭建一套超高效的<strong>任务执行系统</strong>，让你的AI协作💻如虎添翼！快去看看怎么操作吧！ <a href="https://x.com/tuturetom/status/1939321864200888536">'更多详情'</a>
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<br/> <img src="https://pbs.twimg.com/media/Guna8_wW4AAkmqU?format=jpg&name=orig" alt="Cursor并行Agents工作流" /> <br/></p>
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<p>杨毅老师提出了一个引人深思的观点：现在内容创作领域正处于一个"<strong>注意力套利窗口</strong>”😮💨！他说，已经有人利用<strong>AI</strong>来"<strong>构建内容杠杆</strong>”了，预示着未来当AI普及后，<strong>人类原创内容</strong>将变得越来越值钱，甚至产生溢价。但更让他担忧的是，<strong>AI</strong>可能会以极低的成本逐渐"<strong>蚕食人类精神文化</strong>”——这可比内容创作方式的转变可怕多了！✍️深思ing... <a href="https://x.com/Yangyixxxx/status/1939318396111430096">'更多详情'</a></p>
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<p>杨毅老师认为，在<strong>AI时代</strong>，<strong>创业</strong>的门槛简直被AI"打骨折”了！💸构建<strong>MVP</strong>（最小可行产品）的成本大幅降低，让<strong>快速验证想法</strong>成为可能。他给创业者的建议是：别再纠结想法靠不靠谱了，直接用<strong>AI</strong>在短短3天内就能验证一个MVP，甚至可以在3个月内快速尝试30个想法！这样，你就能更快找到那个真正值得全身心投入的方向！🚀💡太给力了！ <a href="https://x.com/Yangyixxxx/status/1939278373978857614">'更多详情'</a></p>
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<p>作为一名AI<strong>投资人</strong>，杨毅分享了他不看硬数据，更看重<strong>定性指标</strong>的"秘密武器”📈！他认为判断一个AI创业项目有没有投资价值，关键看五点：创始人对未来路径的<strong>宏图规划</strong>（包括PMF和<strong>扩展性</strong>）、团队的<strong>信念</strong>有多坚定、AI在团队管理中提升了多少<strong>效率</strong>、Agent是否有完善的<strong>反馈闭环</strong>（这可是AI成功的<strong>方法论</strong>！），以及<strong>多智能体框架</strong>的<strong>扩展性</strong>如何。他觉得，用户留存这些数据，那都是时间到了自然就会有的"副产品”嘛！🎯眼光独到！ <a href="https://x.com/Yangyixxxx/status/1939212085185093664">'更多详情'</a></p>
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<p>有用户分享了一个和AI<strong>交流写代码</strong>的"新姿势”👨💻，这种模式越来越流行：先别急着给AI详细指令，而是先向它交代清楚项目背景和目标，然后让AI自己基于这些信息提出思路，再一起<strong>对齐颗粒度</strong>进行讨论。这种方式巧妙地利用了AI快速理解上下文的<strong>效率</strong>，弥补了我们人类在做详细规划时的"脑细胞不足”，大大提升了<strong>协作模式</strong>下的工作效率！🤝简直是程序员福音！ <a href="https://x.com/wwwgoubuli/status/1939168328070603017">'更多详情'</a></p>
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<p>有用户吐槽说，现在的部分<strong>投资人</strong>还在用<strong>移动互联网</strong>那一套老旧的<strong>数据指标</strong>来评估AI项目，结果就是——根本找不到好项目！🤔因为那些传统的<strong>逻辑</strong>（形式的、非形式的、甚至<strong>概率论</strong>）都是在回顾过去。而作者强调，<strong>贝叶斯定律</strong>才是一种真正面向未来的<strong>决策</strong>方法，它更适合用来给<strong>AI行业</strong>的项目做投资判断！💡是时候更新投资"操作系统”了！ <a href="https://m.okjike.com/originalPosts/6860acdfd82bae994ab2ac0e">'更多详情'</a>
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<br/> <img src="https://cdnv2.ruguoapp.com/FkJ8CttPht-FSudcqveStLiBY6BBv3.png" alt="投资评估新视角" /> <br/>
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<br/> <img src="https://cdnv2.ruguoapp.com/FhaVZhhtXfzamqX8c4dNBF62yfZRv3.png" alt="贝叶斯定律AI投资" /> <br/></p>
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<p>大帅老猿和他的同事Dash直言不讳地指出：<strong>AI</strong>的横空出世，简直是给全人类"<strong>拉平了起跑线</strong>”🏃♀️💨！他们认为，AI带来的巨大机遇甚至超越了20年前的互联网浪潮，让包括初级员工在内的所有人，都能摆脱资源限制，尽情地利用AI去学习和创造。但他们也警告说，如果程序员们还固步自封、不思进取，那么这条"起跑线”最终也会追上你，甚至把你甩在身后！所以，积极拥抱AI才是王道啊！</p>
|
||
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||
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|
||
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|
||
<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>
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<div class="table-wrapper"><table><thead><tr><th>🎙️ <strong>小宇宙</strong></th><th>📹 <strong>抖音</strong></th></tr></thead><tbody>
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<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>
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<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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