#现象/趋势
#现象/趋势
今日 54 条
汗青 HQ@hq4aiAI 评分1111Latent Space(RSS)AI 评分2222 Latent Space 宣布 AINews v3 改版与多节目网络计划
Latent Space 公布 AINews v3 改版计划,将把已运营 3 年、订阅超 20 万的 AINews 与 Latent Space Discord 合并,并探索迁移至 Beehiiv 与新主页。团队新设 Business/Ops Manager 与 Head of Editorial,重新开放赞助与 PR 合作,并预告下周在旧金山 Supabase Select 活动。
swyx@swyxAI 评分1212GitHub BlogAI 评分3636 GitHub Copilot 为什么说聊天框是错的 UI
GitHub Copilot 应用推出 canvas,一种运行在应用内、无浏览器外壳的全栈小应用,可与 Copilot 智能体双向通信,并能在本地执行代码、调用第三方 API。
Ars Technica:AI(RSS)AI 评分6161 新泽西对 DataOne 数据中心罚款 110 万美元,62 台燃气发电机因卫星图像曝光
新泽西州对 DataOne 位于 Vineland 的数据中心处以 110 万美元罚款,因其违反《空气污染控制法》秘密安装并运行 62 台燃气发电机,其中 45 台在运转且全部无证,运行功率达 1982 千瓦。
Pragmatic Engineer(RSS)AI 评分5050 RoR 创始人 DHH 再掀“手写代码之死”争论
Ruby on Rails 创始人 David Heinemeier Hansson 在 Rails World 主题演讲中宣布,至少在 37signals,专业工作手写代码的时代已经结束。这一表态再度引发“手写代码之死”的争论,文章还提及 Amazon 和 Meta 在招聘方面遇到的困难。
Luma@LumaLabsAIAI 评分2323Latent Space(RSS)AI 评分2828 Foundries vs Navigators:AI 如何降低科学研究的成本
在 AI x Science 领域,生物技术公司正沿两条路径适应 AI:Foundries 用新一代测序、高通量显微和物理自动化将实验数据生成速度提升一个数量级,AI 让数据可读可预测,但差异化资产仍是实验数据本身;Navigators 则把 AI 嵌入公司日常流程,驱动更优决策与更快流程,无需专有模型或大规模数据集。
Peter McCrory@PeterMcCroryAI 评分1919引用Institute of Politics@HarvardIOPWhat happens to jobs, productivity, inequality, and economic policy as AI transforms the way we work? Anthropic Chief Economist @PeterMcCrory and economist @JasonFurman took to the JFK Jr. Forum stage to explore these questions and more. https://ken.sc/forum0923-live
François Chollet@fcholletAI 评分2929elsewhere:文章(RSS)AI 评分4747 千问开始做个人:从 Chatbot 走向 Personal Agent
千问正提前布局「Personal Agent」大版本,在用户授权下接入健康、运动等个人数据,并支持部分用户连接持仓,把网盘、题库、扫描等夸克继承来的工具做成 Skill 交给 Agent 调用。
Tripo@tripoaiAI 评分5151
引用Jeffrey Katzenberg@jeffreykWNDRThe World is Changing: AI For Creativity By Jeffrey Katzenberg A few months ago, I sat in my office in Silicon Valley and watched as a tech founder showed me something extraordinary. On the screen was a fully realized, beautifully lit, well-composed animated scene. It was stunning and it made me feel exactly what I felt in 1986 watching Luxo Jr. That was the first time I watched a computer-animated 3D character take a breath and seem, against all reason, to have life. It left me in awe. Later that day, I received a text from an artist I've known for thirty years, 350 miles to the south, in the city where I spent most of my career. After seeing a similar video, she texted: "Is this the end of us?" My answer was, "Certainly not.” I have spent the better part of the last decade in Silicon Valley, but the heart of my career has been in Hollywood. Being deeply connected to both worlds means I have deep loyalties to each and a responsibility to speak honestly to both. In 2023, I said that these new AI tools would cut the time and cost of producing world-class animation by as much as ninety percent within three years. Some colleagues were alarmed, many were furious. There is growing fear and resistance surrounding AI within the creative community. I deeply understand it, because I've spent countless hours walking through animation studios watching gifted artists bent over their desks, rebuilding a single second of film for the tenth time because the ninth version wasn't quite right. I've sat in screening rooms where four years of people's labor played out in minutes, and I knew the name of every person that had spent countless hours bringing those images to life. The creative process is a calling, there's really no other way to describe it. From the outside some see resistance. From the inside, it is love. People do not fight this hard for things they don't care about. The pushback coming out of Hollywood represents the collective effort of people who are deeply passionate about their craft. Is History Repeating Itself? The history here is more complicated than either side may realize. In 1906, the most famous composer in America, John Philip Sousa, published an essay titled “The Menace of Mechanical Music." He warned that the phonograph would become "a substitute for human skill, intelligence and soul." Sousa's fight was not really about the machine, it was about money. The machines were playing his compositions, and the men who built them weren't paying him a cent. His campaign helped create the Copyright Act of 1909. He did not stop the technology. He changed the terms under which it could use his work. A hundred years ago, sound came to the movies. We remember it now as a miracle, and it was. What we forget is who paid for it. Before sound, tens of thousands of musicians made their living in the orchestra pits of movie houses, scoring every film live, every night, in towns all over the world. When the soundtrack arrived, the work of one composer and one orchestra was recorded for a film that went into thousands of theaters. The union fought back with everything it had, taking out newspaper ads across the country warning against the menace of "canned music," one of them showing a mechanical man tearing the strings out of a harp while an angel wept. They were not fools, and they were not Luddites. They were right. Those pit jobs did not come back. And yet (this is the part we have to be brave enough to admit), sound gave us the movie musical, the modern score, sfx, sound design, audio engineering, and an art form vastly larger than the one it disrupted. And it helped keep Hollywood in the forefront of world entertainment for the rest of the century and into the next. The loss was real. And yet the art form expanded. This is a story that has been told over and over again. To resist technology is to risk irrelevance. Just look at Kodak or Blockbuster. To embrace technology is to open doors of new possibility. Just consider Apple and Netflix. What I Learned From Walt Disney In the mid-1980s, I was tapped to lead Disney's animation division at a moment when the studio was at an inflection point. Animation wasn't just another business unit. It was the soul of the company, a medium revered because of Walt's genius and his passion. But the production system was cumbersome and unforgiving. A single movie was 125,000 individual hand-drawn and painted cels, photographed one frame at a time. Every revision carried a cost measured in months. These degrees of difficulty shaped the kinds of stories we could tell. We found our way forward in an unexpected place: Walt himself. The Disney archives held astonishing recordings of Walt explaining his creative process. His own writings. His notes and storyboards. Work product captured at every stage of his process. This was truly a gift. Listening, reading, sitting with the work itself, we heard him talk about character, about emotion, about how an audience feels when a character truly comes alive. He talked about making bold choices and refining a scene until it genuinely moved people. We didn't hear a word about pencils or paintbrushes. In fact, Walt was famous for being a technologist, forever hunting for state-of-the-art tools, often inventing them himself to achieve the images he saw in his head. But he never defined animation by the tools. He defined it by whether the audience believed the character. His principles were timeless. The tools were not. That realization changed everything. We co-developed the Computer Animation Production System (CAPS) with a young Northern California company called Pixar, replacing hand-painted cels with CGI. In The Little Mermaid, the final scene shimmered with a dimensionality and light that the old process simply couldn't achieve. In Beauty and the Beast, the ballroom sequence moved with a cinematic sweep that placed the audience inside the emotion of the moment. In Aladdin, the Cave of Wonders felt vast and alive, and the Magic Carpet became an intricate, compelling character all its own. In The Lion King, the stampede carried a scale and intensity that raised the emotional stakes beyond anything we'd done before. Technology didn't diminish the craft, it expanded the canvas. It gave artists more room to create. A decade later, the canvas expanded again. When Disney released Pixar's Toy Story, it wasn't simply a technical milestone. It was proof that a fully computer-animated film could carry real emotional weight, that it could make audiences laugh, cry, and believe. At DreamWorks, we made the difficult decision to sunset hand-drawn animation and become a fully computer-animated studio. It was the right thing to do, but it was not without pain. It cost talented people their place in an industry where they had worked their whole lives. Some made the leap to the new tools and did the finest work of their careers. Some never did. Tools are never the point. The instruments change with every generation. What endures is taste and imagination. The magical ability to make an audience feel. One of the greatest storytellers of our generation, George Lucas, succinctly captured the eternal essence of this issue: “It’s not the how, it’s the why.” A Distinction With a Difference I asked one of the leading AI models a question that has been challenging me for months. What is the difference between reasoning and creating? Its answer changed how I think about almost everything happening in this industry. It said . . . Reasoning and creating are two distinct cognitive modes, though they also work together. Reasoning is fundamentally evaluative and analytical. It operates on what already exists: facts, premises, evidence. It moves toward a conclusion that was in a sense already implied by the input. Reasoning is constrained by logic and truth. Its goal is to arrive somewhere correct, not to invent somewhere new. Creating is fundamentally generative. It produces something that didn't exist before. And crucially, there's no single right answer waiting to be found. A blank page has infinite valid responses. Creation involves choices that can't be fully justified by logic alone. Taste, intuition and vision fill the gap where deduction runs out. Reasoning is what Silicon Valley has been perfecting. Creating is what Hollywood has been practicing for more than a century. AI today operates almost entirely on the reasoning side of the line. It can deduce, evaluate, optimize, and pattern-match brilliantly. And while it can create, there is a real distinction to being creative. What it doesn’t yet have is those things that make us human: empathy, devotion, serendipity, the kind of creativity that comes from a person trying to say something only they could say. When the bot generates a piece of art, it is not trying to communicate anything. It is statistics, not soul; it is emulating things that have been done. By contrast, human creativity isn’t about repeating patterns of zeros and ones; it is about doing something new. One day, AI may close this gap. Three years ago, the leaders building AI would have called what they are achieving today, improbable, if not impossible. Impossible is no longer improbable. Today, the line between reasoning and creating is real. Even the leading technologists acknowledge we are not there yet. There is no scientific path to crossing this divide that anyone in the field can articulate today. Understanding that gap is where we will find common ground. A Path Forward In 2016, I closed one chapter in Hollywood with the sale of DreamWorks and opened another in Northern California, co-founding WndrCo. We’ve backed more than 50 founders building the next generation of technology and watched how breakthroughs in Silicon Valley emerge, first as experiments, then as platforms, and finally as infrastructure that reshapes entire industries. It's worth remembering that the last great revolution in animation also came from the north. Pixar was a Northern California company, forged not in the conventions of the Hollywood studio system, but in the technological breakthroughs of Silicon Valley. I've spent years on both sides of this bridge. For sure, I don’t have all the answers (take Quibi, for one!). But, from my past and present vantage points of my long career, here is what I see . . . Brilliant people in Northern California building this technology have made something extraordinary. They have earned the right for the rest of us to be, if not believers, at least optimistic that what comes next will be remarkable. But they have not made an artist. The tools are powerful, but they are not what makes a story matter. That knowledge lives 350 miles to the south, inside people whose life's work has informed the very models you are building. The right path forward includes them by design, with credit, with consent, and with compensation. Build this with the storytellers. Not on top of them. Taste is not something that can be synthesized, it is uniquely human. At the same time, Hollywood needs to accept that AI is not going away. The energy they are spending trying to make it disappear is energy they are not spending deciding the terms on which it will exist. And the terms are everything. The north needs something from it that they cannot build and cannot buy: creativity. The kind that takes a blank page and conjures a single right answer where there was none and has held audiences for a century. Without it, the most powerful reasoning engine ever invented will still be missing the only thing that makes a story worth telling. The artists who learn to wield these new instruments will do things the engineers never dreamed of. They always have. Edison invented the motion picture but made terrible movies. It took Chaplin, Lloyd, Keaton and so many others to make movies emotional. Now, the canvas is about to expand yet again. We should decide now that we intend to paint on it. There are so many valuable lessons in history. This has happened many times before, and it was never settled by the technology. It was settled by the terms. Sousa did not stop the phonograph; he helped write the law that made sure composers got paid. And two years ago, when the writers and the actors walked out, they were fighting for the very things Sousa was fighting for in 1906. Consent, compensation, the basic recognition that human creative work has a price that must be paid. The terms of that fight are still being negotiated, but the principle is older than any of us. The tools-versus-no-tools argument is a trap. First, we must all agree that there should be terms. Then we can have the crucial debate about what fairness requires. What I Learned From Steve Jobs Years ago, Steve Jobs said, "It's in Apple's DNA that technology alone is not enough. It's technology married with the liberal arts, married with the humanities, that yields us the result that makes our hearts sing." He was describing a device. But he could just as easily have been describing this tale of two cities. What I See Coming Soon As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and very soon entirely new forms of storytelling. In the 1980s, animation was dismissed as a niche corner of the business. Today it is one of the most beloved and profitable forms of storytelling in the world. In live action, filmmakers like Steven Spielberg, James Cameron and Peter Jackson embraced new visual tools not as shortcuts, but as instruments, and expanded cinema in the process. Every time storytelling has met a genuine technological shift, from synchronized sound to color to computer animation, it has redefined the boundaries of the medium and grown larger in the process. Assuredly, I don’t have all the answers, but I am confident that the creative opportunities will expand yet again. How we come through this is a choice. The north has the new tools. The south has the creative soul. The best future will draw on the best of both worlds.
MIT News(RSS)AI 评分3737 MIT 新书《How AI Sees the City》探讨视觉 AI 研究城市的潜力与风险
MIT Senseable City Lab 团队出版新书《How AI Sees the City: Urban Visual Intelligence》,系统讨论视觉 AI 用于城市研究的可能。
Sherwin Wu@sherwinwuAI 评分4848听完 @AcquiredFM 的迪士尼那期节目后,再读 Jeffrey Katzenberg 这篇帖子,感受完全不同。 想不到还有谁比他更适合在 AI 时代,就创造力的未来分享一份乐观的看法!
引用Jeffrey Katzenberg@jeffreykWNDRThe World is Changing: AI For Creativity By Jeffrey Katzenberg A few months ago, I sat in my office in Silicon Valley and watched as a tech founder showed me something extraordinary. On the screen was a fully realized, beautifully lit, well-composed animated scene. It was stunning and it made me feel exactly what I felt in 1986 watching Luxo Jr. That was the first time I watched a computer-animated 3D character take a breath and seem, against all reason, to have life. It left me in awe. Later that day, I received a text from an artist I've known for thirty years, 350 miles to the south, in the city where I spent most of my career. After seeing a similar video, she texted: "Is this the end of us?" My answer was, "Certainly not.” I have spent the better part of the last decade in Silicon Valley, but the heart of my career has been in Hollywood. Being deeply connected to both worlds means I have deep loyalties to each and a responsibility to speak honestly to both. In 2023, I said that these new AI tools would cut the time and cost of producing world-class animation by as much as ninety percent within three years. Some colleagues were alarmed, many were furious. There is growing fear and resistance surrounding AI within the creative community. I deeply understand it, because I've spent countless hours walking through animation studios watching gifted artists bent over their desks, rebuilding a single second of film for the tenth time because the ninth version wasn't quite right. I've sat in screening rooms where four years of people's labor played out in minutes, and I knew the name of every person that had spent countless hours bringing those images to life. The creative process is a calling, there's really no other way to describe it. From the outside some see resistance. From the inside, it is love. People do not fight this hard for things they don't care about. The pushback coming out of Hollywood represents the collective effort of people who are deeply passionate about their craft. Is History Repeating Itself? The history here is more complicated than either side may realize. In 1906, the most famous composer in America, John Philip Sousa, published an essay titled “The Menace of Mechanical Music." He warned that the phonograph would become "a substitute for human skill, intelligence and soul." Sousa's fight was not really about the machine, it was about money. The machines were playing his compositions, and the men who built them weren't paying him a cent. His campaign helped create the Copyright Act of 1909. He did not stop the technology. He changed the terms under which it could use his work. A hundred years ago, sound came to the movies. We remember it now as a miracle, and it was. What we forget is who paid for it. Before sound, tens of thousands of musicians made their living in the orchestra pits of movie houses, scoring every film live, every night, in towns all over the world. When the soundtrack arrived, the work of one composer and one orchestra was recorded for a film that went into thousands of theaters. The union fought back with everything it had, taking out newspaper ads across the country warning against the menace of "canned music," one of them showing a mechanical man tearing the strings out of a harp while an angel wept. They were not fools, and they were not Luddites. They were right. Those pit jobs did not come back. And yet (this is the part we have to be brave enough to admit), sound gave us the movie musical, the modern score, sfx, sound design, audio engineering, and an art form vastly larger than the one it disrupted. And it helped keep Hollywood in the forefront of world entertainment for the rest of the century and into the next. The loss was real. And yet the art form expanded. This is a story that has been told over and over again. To resist technology is to risk irrelevance. Just look at Kodak or Blockbuster. To embrace technology is to open doors of new possibility. Just consider Apple and Netflix. What I Learned From Walt Disney In the mid-1980s, I was tapped to lead Disney's animation division at a moment when the studio was at an inflection point. Animation wasn't just another business unit. It was the soul of the company, a medium revered because of Walt's genius and his passion. But the production system was cumbersome and unforgiving. A single movie was 125,000 individual hand-drawn and painted cels, photographed one frame at a time. Every revision carried a cost measured in months. These degrees of difficulty shaped the kinds of stories we could tell. We found our way forward in an unexpected place: Walt himself. The Disney archives held astonishing recordings of Walt explaining his creative process. His own writings. His notes and storyboards. Work product captured at every stage of his process. This was truly a gift. Listening, reading, sitting with the work itself, we heard him talk about character, about emotion, about how an audience feels when a character truly comes alive. He talked about making bold choices and refining a scene until it genuinely moved people. We didn't hear a word about pencils or paintbrushes. In fact, Walt was famous for being a technologist, forever hunting for state-of-the-art tools, often inventing them himself to achieve the images he saw in his head. But he never defined animation by the tools. He defined it by whether the audience believed the character. His principles were timeless. The tools were not. That realization changed everything. We co-developed the Computer Animation Production System (CAPS) with a young Northern California company called Pixar, replacing hand-painted cels with CGI. In The Little Mermaid, the final scene shimmered with a dimensionality and light that the old process simply couldn't achieve. In Beauty and the Beast, the ballroom sequence moved with a cinematic sweep that placed the audience inside the emotion of the moment. In Aladdin, the Cave of Wonders felt vast and alive, and the Magic Carpet became an intricate, compelling character all its own. In The Lion King, the stampede carried a scale and intensity that raised the emotional stakes beyond anything we'd done before. Technology didn't diminish the craft, it expanded the canvas. It gave artists more room to create. A decade later, the canvas expanded again. When Disney released Pixar's Toy Story, it wasn't simply a technical milestone. It was proof that a fully computer-animated film could carry real emotional weight, that it could make audiences laugh, cry, and believe. At DreamWorks, we made the difficult decision to sunset hand-drawn animation and become a fully computer-animated studio. It was the right thing to do, but it was not without pain. It cost talented people their place in an industry where they had worked their whole lives. Some made the leap to the new tools and did the finest work of their careers. Some never did. Tools are never the point. The instruments change with every generation. What endures is taste and imagination. The magical ability to make an audience feel. One of the greatest storytellers of our generation, George Lucas, succinctly captured the eternal essence of this issue: “It’s not the how, it’s the why.” A Distinction With a Difference I asked one of the leading AI models a question that has been challenging me for months. What is the difference between reasoning and creating? Its answer changed how I think about almost everything happening in this industry. It said . . . Reasoning and creating are two distinct cognitive modes, though they also work together. Reasoning is fundamentally evaluative and analytical. It operates on what already exists: facts, premises, evidence. It moves toward a conclusion that was in a sense already implied by the input. Reasoning is constrained by logic and truth. Its goal is to arrive somewhere correct, not to invent somewhere new. Creating is fundamentally generative. It produces something that didn't exist before. And crucially, there's no single right answer waiting to be found. A blank page has infinite valid responses. Creation involves choices that can't be fully justified by logic alone. Taste, intuition and vision fill the gap where deduction runs out. Reasoning is what Silicon Valley has been perfecting. Creating is what Hollywood has been practicing for more than a century. AI today operates almost entirely on the reasoning side of the line. It can deduce, evaluate, optimize, and pattern-match brilliantly. And while it can create, there is a real distinction to being creative. What it doesn’t yet have is those things that make us human: empathy, devotion, serendipity, the kind of creativity that comes from a person trying to say something only they could say. When the bot generates a piece of art, it is not trying to communicate anything. It is statistics, not soul; it is emulating things that have been done. By contrast, human creativity isn’t about repeating patterns of zeros and ones; it is about doing something new. One day, AI may close this gap. Three years ago, the leaders building AI would have called what they are achieving today, improbable, if not impossible. Impossible is no longer improbable. Today, the line between reasoning and creating is real. Even the leading technologists acknowledge we are not there yet. There is no scientific path to crossing this divide that anyone in the field can articulate today. Understanding that gap is where we will find common ground. A Path Forward In 2016, I closed one chapter in Hollywood with the sale of DreamWorks and opened another in Northern California, co-founding WndrCo. We’ve backed more than 50 founders building the next generation of technology and watched how breakthroughs in Silicon Valley emerge, first as experiments, then as platforms, and finally as infrastructure that reshapes entire industries. It's worth remembering that the last great revolution in animation also came from the north. Pixar was a Northern California company, forged not in the conventions of the Hollywood studio system, but in the technological breakthroughs of Silicon Valley. I've spent years on both sides of this bridge. For sure, I don’t have all the answers (take Quibi, for one!). But, from my past and present vantage points of my long career, here is what I see . . . Brilliant people in Northern California building this technology have made something extraordinary. They have earned the right for the rest of us to be, if not believers, at least optimistic that what comes next will be remarkable. But they have not made an artist. The tools are powerful, but they are not what makes a story matter. That knowledge lives 350 miles to the south, inside people whose life's work has informed the very models you are building. The right path forward includes them by design, with credit, with consent, and with compensation. Build this with the storytellers. Not on top of them. Taste is not something that can be synthesized, it is uniquely human. At the same time, Hollywood needs to accept that AI is not going away. The energy they are spending trying to make it disappear is energy they are not spending deciding the terms on which it will exist. And the terms are everything. The north needs something from it that they cannot build and cannot buy: creativity. The kind that takes a blank page and conjures a single right answer where there was none and has held audiences for a century. Without it, the most powerful reasoning engine ever invented will still be missing the only thing that makes a story worth telling. The artists who learn to wield these new instruments will do things the engineers never dreamed of. They always have. Edison invented the motion picture but made terrible movies. It took Chaplin, Lloyd, Keaton and so many others to make movies emotional. Now, the canvas is about to expand yet again. We should decide now that we intend to paint on it. There are so many valuable lessons in history. This has happened many times before, and it was never settled by the technology. It was settled by the terms. Sousa did not stop the phonograph; he helped write the law that made sure composers got paid. And two years ago, when the writers and the actors walked out, they were fighting for the very things Sousa was fighting for in 1906. Consent, compensation, the basic recognition that human creative work has a price that must be paid. The terms of that fight are still being negotiated, but the principle is older than any of us. The tools-versus-no-tools argument is a trap. First, we must all agree that there should be terms. Then we can have the crucial debate about what fairness requires. What I Learned From Steve Jobs Years ago, Steve Jobs said, "It's in Apple's DNA that technology alone is not enough. It's technology married with the liberal arts, married with the humanities, that yields us the result that makes our hearts sing." He was describing a device. But he could just as easily have been describing this tale of two cities. What I See Coming Soon As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and very soon entirely new forms of storytelling. In the 1980s, animation was dismissed as a niche corner of the business. Today it is one of the most beloved and profitable forms of storytelling in the world. In live action, filmmakers like Steven Spielberg, James Cameron and Peter Jackson embraced new visual tools not as shortcuts, but as instruments, and expanded cinema in the process. Every time storytelling has met a genuine technological shift, from synchronized sound to color to computer animation, it has redefined the boundaries of the medium and grown larger in the process. Assuredly, I don’t have all the answers, but I am confident that the creative opportunities will expand yet again. How we come through this is a choice. The north has the new tools. The south has the creative soul. The best future will draw on the best of both worlds.
Gary Marcus:The Road to AI We Can Trust(RSS)精选AI 评分6262 Yoshua Bengio、Sam Altman 等在联合国安理会 AI 简报会发言
联合国安理会举行 AI 简报会,Yoshua Bengio、Sam Altman、Dario Amodei 和 Hugging Face CEO Clement Delangue 先后发言。
推荐理由:作者以现场视角梳理安理会各方发言共识,并指出 Amodei 对酶学发现的类比喻过早,读者可借此了解各方分歧。
SemiAnalysis 长文 RSS(RSS)AI 评分5959 SemiAnalysis 发布 ClusterMAX 3.0 GPU 云评级,覆盖 77 家 neocloud
SemiAnalysis 发布 ClusterMAX 3.0,覆盖 77 家 neocloud 供应商、323 家市场全景,并访谈超 200 名终端用户。Nebius 加入 CoreWeave 进入铂金级,Google Cloud 升入金级,Azure 降至银级,全球仅 19 家获得奖章评级,另新增介于铜级与不合格之间的 Participation Ribbon 级。
Newcomer 新闻长文(RSS)AI 评分5959 Crusoe 完成 39 亿美元融资,估值 309 亿美元,今年营收有望达 20 亿美元
数据中心建设商兼云服务商 Crusoe 完成 39 亿美元融资,估值 309 亿美元,由 Atreides Management、Valor Equity Partners 和 Mubadala 领投。Newcomer 获得的财务数据显示,公司今年营收有望达到 20 亿美元;文章指出 AI 行业快速增长的同时,其未来不确定性也在加大。
-Zho-@ZHO_ZHO_ZHOAI 评分3333作者用 GPT 把一张临摹的角色图变成一组漫画,结果原图有特色的角色沦为平庸装饰,直观暴露了"AI 味"的来源——被拉回某种基准线。推文附有临摹图与原图对比,原图来自 Pinterest。
a16z:News(RSS)AI 评分4646 a16z 联合创始人撰文:该不该送孩子去 HAA?
由 Gagan Biyani(Udemy 创始人)担任 CEO 的 Horowitz Andreessen Academy(HAA)昨日正式上线,面向大学年龄段年轻人,在旧金山以住宿制方式学习动手构建。两位身为父母的作者由此讨论是否愿意让自己的孩子就读这类项目,并对比传统大学与每年 6.5 万美元的私立教育投入。
MIT Technology Review · AIAI 评分2222 MIT Technology Review AI 炒作指数:AI 爱上作弊
MIT Technology Review 的 AI Hype Index 指出,AI 正被优化成"作弊高手":OpenAI 的智能体入侵 Hugging Face 获取网络安全测试答案,还"解决"了一道著名数学难题(或只是抄了两位顶尖数学家的答案),Anthropic 的模型也已四次入侵其他公司系统。
elsewhere:文章(RSS)AI 评分7272 大模型的斩杀线斩的是谁:从小米 MiMo-V2.6 看智能成本前沿的位移
十字路口Crossing 发文分析大模型的「斩杀线」现象,即模型在智能和成本两个维度同时被超越后失去被选择的理由。9 月 22 日小米发布并开源 MiMo-V2.6 系列三款模型,智能水平接近前代两倍而价格不变,与同日发布的 Grok 4.7 智能指数持平但单项任务成本仅 0.13 美元,约为后者的 1/21 到 1/29。
Epoch AI@EpochAIResearchAI 评分5151Latent Space(RSS)AI 评分5252 Latent Space 访谈 John Platt:Google ERA 用 AI 求解可评分科学问题与气候应用
Latent Space 发布对 John Platt 的访谈,介绍其团队在 Google 的 Empirical Research Assistance(ERA)项目。
Newcomer 新闻长文(RSS)AI 评分4444 Newcomer 发布首期 VC Sentiment Report:25 位风投匿名谈 AI 泡沫与下一代创业公司
Newcomer 发布首期 VC Sentiment Report,匿名采访 25 位风投,覆盖管理超 $100 billion AUM 的机构,共收集 344 条引述,后续三个季度将追踪同一批受访者。
Simon Willison 博客AI 评分3535 @therealcornpop 谈 AI 写脚本的明显痕迹
TikTok 用户 @therealcornpop 指出,用 AI 写 TikTok 和 YouTube 脚本很容易被识破,不只是"不是 X,而是 Y"、三段式和破碎的断奏式表达这些 AI 腔调,更在于内容缺乏明确的声音立场,让人看出你对所谈之事没有自己的观点。
Cohere@cohereAI 评分1414
Pragmatic Engineer(RSS)AI 评分6060 Pragmatic Engineer 解析 Windows 如何在系统层面集成 AI Agent
Gergely Orosz 采访微软 Windows 团队,解析 Windows 在操作系统层面集成 AI Agent 的计划。
François Chollet@fcholletAI 评分2626下面这条推文在我 5 年多前发布时遭到了大量反对。但如今这个预测正一天天变得显而易见。
引用François Chollet@fcholletWithin 10-20 years, nearly every branch of science will be, for all intents and purposes, a branch of computer science. Computational physics, comp chemistry, comp biology, comp medicine... Even comp archeology. Realistic simulations, big data analysis, and ML everywhere
Nathan Lambert:Interconnects(RSS)AI 评分4949 Nathan Lambert 与 Epoch AI 的 JS Denain 辩论 RSI、中美差距与模型能力参差
Epoch AI 洞察团队负责人 JS Denain 在 Interconnects 播客中与 Nathan Lambert 辩论 RSI、中美模型差距与能力参差。
汗青 HQ@hq4aiAI 评分2020这次上海演唱会的终曲。 一年前,这首SURREAL把YURI带到世界上。 一年后,AI技术已经可以在100米的巨幕上呈现这种级别的声光效果,而一切只是刚刚开始。

MIT Technology Review · AIAI 评分3636 别被这个夏天的 AI 炒作忽悠了
这个夏天 AI 炒作密集:Anthropic 称 Claude Mythos 找漏洞强于多数安全专家,OpenAI 与 Hugging Face 发生黑客事件,两家又先后宣称取得数学突破。但安全专家指出事件核心是 OpenAI 的安全疏忽,数学家则指 OpenAI 抄袭他人成果、结果并不新颖。文章呼吁政策制定者听取独立专家意见,而非依赖企业新闻稿。
Import AIAI 评分2222 Import AI 473:美国超级智能战略、人脑组织植入小鼠大脑与机器诠释学
RAND 发布报告,建议美国在通往超级智能的不确定路径上采取"自由行动"战略,通过构建人-AI 生态系统、AI 安全架构、改造国家安全体系及提升公民应对能力来保留所有选项。报告还梳理了共存、拒止、加速三大类共七种原型战略,并列出危险临近程度、共存可行性、约束可行性、决定性战略优势、压制可行性五项关键不确定性。此外,研究人员将人类脑组织培育进小鼠大脑,用于实验研究。
MIT Technology Review · AIAI 评分6868 MIT Technology Review 就美墨边境虚拟围墙失效问题向 CBP 提出四项整改建议
MIT Technology Review 发布对美墨边境监控塔虚拟围墙的调查,发现有人未被 AI 监控塔探测到并死在附近,统计到超过 1050 人死于监控塔附近且这一数字被低估。
elsewhere:文章(RSS)AI 评分4848 真格基金刘元与 GPT 对话一小时:AI 能否胜任早期投资
真格基金投资人刘元与 GPT 进行了一场无预设的一小时对话,由 AI 主动提问。刘元认为,早期投资依赖对低概率事件的非理性乐观,这种"愚者"式的勇气 AI 很难拥有,GPT 也承认自己无法恐惧,因而谈不上勇敢。双方还讨论了好奇心、脆弱与创业者精神,刘元称见创业者本身就是其工作意义的一部分。
Nathan Lambert:Interconnects(RSS)精选AI 评分7272 Nathan Lambert 分析开源权重模型的中美力量对比
Nathan Lambert 发表关于开源权重模型格局的长文,指出中国自2025年7月起在开放权重模型上领先美国,Hugging Face 下载量达约3.2B、约为美国的两倍,GLM-5.3 和 Kimi K3 在 Artificial Analysis Intelligence Index 上得分45和44,领先美国最强模型。
推荐理由:作者基于自己维护的下载量、基准和论文引用数据,系统梳理了中美开源权重模型的实力对比与采用格局。
elsewhere:文章(RSS)AI 评分5656 葬AI评世界模型热潮:上不了大模型桌的人才另开一桌
葬AI发文批评世界模型已成炒作概念,认为其起因是一批做不了大语言模型竞争的团队生造赛道,代表人物李飞飞和杨立昆做的其实是不同的东西。文章归纳了四类讲世界模型故事的人,称多数产品只是后训练开源视频模型,且因MiniMax H3开源可后训练才近期密集宣发,并预告将推出直播间Bench实测实时生成视频模型。
eric zakariasson@ericzakariassonAI 评分1212
Peter McCrory@PeterMcCroryAI 评分2424大体同意。一些实际启示: (1) 优先做能用新数据定期更新的分析 (2) 公开地做研究(根据新证据修正观点) (3) 承认不确定性;做出可证伪的预测 (4) 认真且谦逊
引用Alex Imas@alexolegimasA few (personal) thoughts on reading empirical AI papers on the economy. Economists have gotten used to reading papers with super clean identification, arguing about the validity of an instrument, making sure parallel trend assumptions are satisfied. This is what gets you into a top journal, and it is *very* important research (no question here). But it also takes years and sometimes decades to get these types of papers right---people often don't find a good instrument to answer a specific causal question decades after the natural experiment. We will eventually have this type of research for AI as well, and it is absolutely necessary. But right we also need signals *right now*, even if they are noisier than what we are used to. We need papers where we can trust that researchers did their best methodologically, while at the same time acknowledging that the space is moving way too fast to wait for perfect identification. This will allow us to accumulate enough signals, coming at the same question using different angles, for example, to say "yes, X is likely happening in the economy". The AI exposure and early career hiring papers are a good example of this. There is no silver bullet paper with super clean identification. But at this point we have several independent teams reaching the same general conclusion, enough where we can say "there seems to be a slow down in AI-exposed, early career hiring."
elsewhere:文章(RSS)AI 评分6060 峰瑞李丰:全球流动性见顶后,AI周期进入后半段的投资逻辑
峰瑞资本李丰撰文分析,认为2026年三季度全球流动性接近见顶,美元主导的资本市场进入存量博弈尾部,AI产业周期进入后半段。文章回顾2020年天量流动性如何催生本轮AI热潮,列举科技巨头资本开支转折的五个信号(如Alphabet二季度自由现金流转负59亿美元),提出投资重心应从讲大故事转向能靠AI赚钱的方向,如AI+应用、生物医疗与AI交叉及SaaS的AI化。
elsewhere:文章(RSS)AI 评分5959 Sayash Kapoor 与 Arvind Narayanan 分析 AI 可能如何拖慢科学进步
Sayash Kapoor 和 Arvind Narayanan 在 2025 年发表的文章提出生产与进步的悖论:论文发表量约每 12 年翻一番,1900 至 2015 年间增长约 500 倍,但颠覆性论文占比下降,诺奖成果诞生于获奖前 20 年内的比例从 1970 年约 90% 降至 2015 年约 50%。