📊 AI 英文奏折：共收录 20 篇深度推文。
👤 (3) X 上的 Rohan Paul：“This paper from MIT and other top labs shows that when a model is trained on 1 author’s books, readers often prefer its writing over human experts. This should be a wake-up call. Style isn’t magic at all. It’s patterns repeated over time. And AI learns those patterns on a scale https://t.co/SRj3siSyW0” (@rohanpaul_ai)
简介: Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l | 影响力: 12.6万
摘要：MIT研究显示，经作者作品微调后，AI写作风格更受青睐，成本骤降99.7%且难以检测。
🕒 10:53 | ❤️ 2 | 📝 240词 | 原文
👤 (3) X 上的 Anthony Pompliano 🌪：“The world is loud. Everyone wants your attention. The phone buzzes. The feed pulls. It feels good. Then it’s gone. Focus is hard. it costs you comfort. You have to say no. …to the noise. …to the easy hit. At first, it’s boring. Lonely. Your mind pushes back. That” (@apompliano)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：世界喧嚣，专注不易。
拒斥干扰，忍受枯燥。
方能清醒，创造真实。
🕒 10:48 | ❤️ 75 | 📝 92词 | 原文
👤 (3) X 上的 Rohan Paul：“Michael Burry says AI is already affecting physical jobs (plumber/electricians etc) as well. “If I’m middle class and am facing an $800 plumber or electrician call, I might just use Claude. I love that I can take a picture and figure out everything I need to do to fix it.” So https://t.co/X6HOzeEbs8” (@rohanpaul_ai)
简介: Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l | 影响力: 12.6万
摘要：迈克尔·伯里称AI已影响蓝领工作，如水电维修。
🕒 10:37 | ❤️ 9 | 📝 54词 | 原文
👤 (3) X 上的 Sharyph：“Content research used to steal 3+ hours of my week. Finding trends. Analyzing competitors. Coming up with ideas…. Rinse and repeat. Every. Single. Week. So I built an AI agent that does it all with one command. Now I get: → Trending topics in my niche → Competitor content https://t.co/md3CdWsiCH” (@sharyph_)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：AI助手将每周3小时的内容调研缩至5分钟，自动分析趋势、竞品并生成选题。含模板，限时分享。
🕒 10:15 | ❤️ 1 | 📝 79词 | 原文
👤 (3) X 上的 Harsh Makadia：“I added Dark Mode to a client’s web app in minutes. A few AI prompts A bit of custom code Done. AND – I didn’t charge a single dollar for it. Why? Because small wins build massive trust. And now the client is genuinely excited about the product again. That excitement https://t.co/YLRWnlR0TC” (@makadiaharsh)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：AI助力极速添加深色模式，零元投入赢客户信任与热情。
🕒 09:44 | ❤️ 1 | 📝 53词 | 原文
👤 (3) X 上的 Heather Cooper：“Niji V7 -> Veo 3.1 Veo Prompt: Extreme close-up of a woman’s face at golden hour, sunlight filtering across her skin in shimmering patterns. Fine glitter particles on her cheeks softly sparkle as she breathes and slightly shifts her gaze. Eyelashes flutter, lips part subtly. https://t.co/P2kCWnXtYd” (@hbcoop_)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：黄昏特写：女子面庞光影流动，发丝轻扬，睫唇微动，声景静谧，细腻如梦。
🕒 01:35 | ❤️ 21 | 📝 80词 | 原文
👤 X 上的 Zeely AI：“What if we could see behind the scenes? Not the real footage, but the imagined moments we all picture in our heads. The pauses between takes. The quiet focus before the shot. All that backstage energy, which never makes it onto the final cover. With ChatGPT inside Zeely, you https://t.co/r5QLaPpmvj” (@zeely_ai)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：摘要：用Zeely的ChatGPT功能，以AI为工具，自由创作你想象中的明星幕后瞬间。
🕒 00:18 | ❤️ 26 | 📝 116词 | 原文
👤 (3) X 上的 Anthony Pompliano 🌪：“There is widespread speculation that the United States may take military action in Iran. If that happens, there could be a profound impact on various investment assets I asked @cfosilvia to explain what investors need to know. She said: – Stocks could fall 15% – Oil could https://t.co/WfD9AhOQVs” (@apompliano)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：美或对伊朗动武，恐致股市跌油价涨，不同战况影响各异。
🕒 06:47 | ❤️ 223 | 📝 116词 | 原文
👤 (3) X 上的 Alex Prompter：“Google DeepMind and Anthropic AI engineers don’t prompt like everyone else. I’ve been reverse-engineering their techniques for 3 years across all AI models. Here are 5 prompting methods that get you AI engineer-level results: (Comment “AI” for my free prompt engineering guide https://t.co/mRJptdpNPq” (@alex_prompter)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：AI工程师的五大高效提示技巧揭秘。
🕒 16:47 | ❤️ 112 | 📝 51词 | 原文
👤 (3) X 上的 Rohan Paul：“The paper checks if reasoning trained LLMs solve problems across languages, and finds their hidden reasoning is English centered. Multilingual answers can look fine, yet silent reasoning is much weaker in languages with less training data. They make the model solve the same https://t.co/dlOKtzfWum” (@rohanpaul_ai)
简介: Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l | 影响力: 12.6万
摘要：研究发现，大语言模型的多语言推理能力存在隐性问题：其内部推理过程以英语为中心，训练数据较少的语言需依赖显式步骤才能保持正确性。
🕒 11:18 | ❤️ 59 | 📝 209词 | 原文
👤 (3) X 上的 Prompter：“One thing about the algorithm I have noticed. From someone who went from 200 followers to almost 80k in 7 months. I got more impressions and reach when I had 5-10k followers then what I do now. The app for better or for worse does not take into account how many followers you” (@promptllm)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：算法无关粉丝量，重在内容共鸣。
🕒 04:15 | ❤️ 12 | 📝 91词 | 原文
👤 (3) X 上的 Santiago：“I’ve consulted for 100+ companies in the last 3 years. You’d be shocked at how many teams still don’t write tests, run production workflows out of spreadsheets, have no idea how to manage their secrets, or version their datasets. There’s a huge market out there that needs” (@svpino)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：企业普遍缺乏技术实践，经验知识服务需求巨大。
🕒 04:14 | ❤️ 89 | 📝 59词 | 原文
👤 (3) X 上的 Pierrick Chevallier | IA：“🚨PromptShare🚨 Badass JSON prompt in #kling 2.6. Made in @LeonardoAi { “shot”: { “composition”: “first-person downward angle locked to spider body with extreme vertical depth”, “lens”: “macro ultra-wide insect lens”, “camera_movement”: “vertical wall runs, https://t.co/BWkqB5aWre” (@charaspowerai)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：蜘蛛视角的浴室微观冒险，展现水滴冲击与紧张音效。
🕒 23:30 | ❤️ 198 | 📝 161词 | 原文
👤 (3) X 上的 Rohan Paul：“Dell admits that having AI features alone isn’t driving PC purchases. In 2025, Dell pushed its AI PC story hard, but this time it brought back the XPS brand and shifted attention to hardware upgrades that aren’t directly about generative AI or chatbots. But Dell is not backing https://t.co/llsHh8EuvK” (@rohanpaul_ai)
简介: Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l | 影响力: 12.6万
摘要：戴尔承认AI功能难促PC销量，2025年将侧重硬件升级，NPU成标配但非宣传重点。
🕒 03:36 | ❤️ 12 | 📝 137词 | 原文
👤 (3) X 上的 Rohan Paul：“Today’s edition of my newsletter just went out. 🔗 https://t.co/bv9eLNEhAW 🔴 Anthropic is clamping down on unapproved Claude use by outside apps and rival platforms. 🧱 New Stanford paper argues that LLMs already provide the raw skills for AGI, but they still need a https://t.co/rcY4EbLEyb” (@rohanpaul_ai)
简介: Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l | 影响力: 12.6万
摘要：摘要提取中…
🕒 03:00 | ❤️ 11 | 📝 67词 | 原文
👤 (3) X 上的 Ksenia_TuringPost：“Nanobot – an open-source, standalone MCP host for building agents with MCP and MCP-UI. You can deploy it independently or embed it into your own products. It brings together MCP servers, an LLM, and context into a single service, making it easy to build agent experiences across https://t.co/siYuB5RZL1” (@theturingpost)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：Nanobot是一个开源MCP主机，可独立部署或集成，通过整合MCP服务器和LLM快速构建多端智能体应用。
🕒 17:51 | ❤️ 49 | 📝 63词 | 原文
👤 (3) X 上的 Travis Davids：“Ok @techhalla bro I challenge you to a dance off, let’s see who is the Kling Of Dance 🤣👍 Having way too much fun and just being silly with @Kling_ai Motion control, thanks for the inspiration bro. I definitely look like Michael Jackson from Temu though, he is probably rolling https://t.co/aNsispESHP” (@mrdavids1)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：用户向@techhalla发起舞蹈挑战，并调侃自己舞姿滑稽，同时测试了Kling_ai的动作控制与角色一致性功能。
🕒 01:50 | ❤️ 20 | 📝 71词 | 原文
👤 (3) X 上的 Rohan Paul：“The paper introduces FactArena, a repeatable fact checking test that exposes where LLMs fail beyond the verdict. It tests how an LLM splits a claim, finds evidence, and then decides if it is true. FactArena forces each LLM to do 3 steps, it splits the claim into smaller https://t.co/6noedSrI81” (@rohanpaul_ai)
简介: Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l | 影响力: 12.6万
摘要：FactArena通过三阶段对抗性评测，揭示大模型事实核查各环节能力差异，GPT-4o与DeepSeek-R1表现最佳。
🕒 15:44 | ❤️ 42 | 📝 160词 | 原文
👤 X 上的 Rohan Paul：“Reordering the same RAG documents can flip an LLM’s answer, Stable-RAG makes it stay consistent. Stable-RAG stops RAG answers from changing when the retrieved evidence is shown in a different order. Even when the correct passage is present, sometimes even first, the model’s https://t.co/Tto0FUElwa” (@rohanpaul_ai)
简介: Compiling in real-time, the race towards AGI. The Largest Show on X for AI. \uD83D\uDDDE️ Get my daily AI analysis newsletter to your email \uD83D\uDC49 https://t.co/6LBxO8215l | 影响力: 12.6万
摘要：Stable-RAG通过聚合多排序推理路径，提升RAG稳定性与准确性。
🕒 15:20 | ❤️ 134 | 📝 185词 | 原文
👤 X 上的 Sharyph：“If you are still only optimizing your content for Google, you are fighting a losing battle. Recent data shows that 60% of searches now end without a click. Why? Because people aren’t clicking blue links anymore. They are reading the AI summary at the top (Google AI Overviews)” (@sharyph_)
简介: X平台资深观察家 | 影响力: 0.0万
摘要：仅优化谷歌SEO已落伍，需结合AEO（答案引擎优化）应对AI摘要趋势。我开发了自动化双引擎代理，能快速生成含答案胶囊的优化内容与SEO元数据。
🕒 18:15 | ❤️ 2 | 📝 315词 | 原文
相关文章
