Tomorrow on the show: @JensenHuang, the CEO of NVIDIA, who thinks A.I. fear is getting way out of hand.
全部 AI 动态
Rohan Paul@rohanpaul_aiAI 评分5757
引用Ezra Klein@ezraklein公众号:火山引擎精选AI 评分6868 火山引擎对话《后西游记》主创,揭秘首部AI长剧登陆湖南卫视黄金档
国内首部AI长剧《后西游记》8月31日登陆湖南卫视黄金档,60集规划、每集约40分钟,全剧无摄影机拍摄,视频生成100%由 Seedance 实现,上线一周芒果TV正片播放量突破1.5亿次。剧集由芒果TV出品、伯璟文化承制,依托芒果灵创平台,5月立项到播出仅半年、制作周期3个月;总导演李东珅以一场动作戏为例,小组制作耗时10天、成本约十几万元,真人实拍则可能需300至400万元。
推荐理由:官方复盘给出了AI长剧从立项到播出的创作流程和成本对比,读者可以了解AIGC长篇叙事的实际生产方式。
公众号:数字生命卡兹克AI 评分5757 闲鱼上的ChatGPT代充暗号:从奥特曼充电到Tibo洗衣粉的斗智斗勇
作者实测闲鱼上ChatGPT代充的隐语生态,因直接搜GPT属违规,卖家造出奥特曼充电、鸡屁踢、DeepSeek老祖宗、Tibo洗衣粉等暗号,版本快速轮动且不断被封。交易需加微信后提供含访问令牌的会话代码,一单约135至140元,价格随汇率浮动且按天退款。文章以《我不是药神》类比平台、用户、卖家三方各有难处的困局,认为真正好的技术应是消灭摩擦的基础设施,并期待国产模型崛起让这类暗号失去意义。
Tripo@tripoaiAI 评分5252Tripo 转发 Jeffrey Katzenberg 长文《The World is Changing: AI For Creativity》。
引用JK@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.
IT之家·人工智能AI 评分5555 路透报道中国直播带货,李佳琦称 AI 无法取代真人主播
路透 9 月 24 日发文关注中国直播带货行业,中国直播年商品交易总额已接近 7 万亿元,2025 年线上零售占零售总额超 36%。京东 2025 年 12 月向商家免费开放 AI 主播服务,称可降低直播运营成本 80% 至 90%;李佳琦认为 AI 只是提效工具、无法取代真人主播,抖音已禁止完全由 AI 生成的直播并要求披露数字主播使用情况。
Sherwin Wu@sherwinwuAI 评分5858Jeffrey Katzenberg 发文回顾动画行业从手绘赛璐璐到 CAPS 与 Pixar 全 CG 的技术变迁,指出 AI 当前强于推理而非创造,历史从来由条款而非技术定胜负。
引用JK@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.
IT之家·人工智能AI 评分5656 黄仁勋表示要求监管的 AI 公司不应获得反垄断豁免
据路透社报道,英伟达 CEO 黄仁勋在《纽约时报》播客近两小时采访中表示,AI 公司不应获得反垄断法或责任法豁免,要求监管就不应豁免现有监管规定。他重申反对对 AI 安全进行全面监管,认为实验室应自测产品安全后再发布;但不反对对自动驾驶汽车等具体应用产品制定监管。
Hacker News:AI 热帖AI 评分5252 Fly.io 解析 VSCode SSH 远程代理的权限边界,对比 Emacs Tramp 提出安全担忧
Fly.io 博客分析了 VSCode 通过 SSH 进行远程编辑的机制,并与 Emacs 的 Tramp 对比。VSCode 会在远程主机上运行 Bash 脚本下载代理(含 Node 二进制安装),代理通过端口转发的 SSH 建立 WebSocket 连回 VSCode 前端,该协议可漫游文件系统、编辑任意文件、启动 shell PTY 进程并自我持久化。
Rohan Paul@rohanpaul_aiAI 评分5858
Gary Marcus:The Road to AI We Can TrustAI 评分6868 Yoshua Bengio 等四位 AI 领袖在联合国安理会发表 AI 安全演讲
联合国安理会就 AI 举行简报会,Yoshua Bengio、Sam Altman、Dario Amodei 和 Hugging Face 的 Clement Delangue 依次发言,Gary Marcus 全文转载 Bengio 的讲稿。
Rohan Paul@rohanpaul_aiAI 评分7070Dario Amodei 在联合国安理会谈到 Anthropic 宣布 Claude 发现一种新的分子机器,属初步发现,可能构成新的基因编辑机制并有基因治疗应用前景。
引用Rohan Paul@rohanpaul_aiWild stuff. Anthropic’s new wet lab got its first win after 949 Claude agents autonomously tracked down a new enzyme system in just 21 hours. Claude was searching a huge amount of genetic data when it noticed an unusual pattern: the same small piece of DNA repeating again and again next to an enzyme. The campaign searched 1.94B protein clusters, recovered 198,290 RT clusters, and used 215.6M tokens across 21.5 hours. That pattern looked a little like CRISPR, so Anthropic’s scientists investigated it and found a new family of biological systems they call ART. The system also produces many small RNA molecules, suggesting those repeated DNA sections are doing something useful rather than sitting there randomly.
Ars Technica:AIAI 评分6363 中美拟建AI安全通知机制,专家称缺乏技术专家与信任基础
Trump 与 Xi 会晤前,美财政部长 Bessent 宣布双方讨论建立AI安全通知机制,用于互相通报AI系统风险。多位专家认为该机制未纳入技术专家、难以评估风险紧迫性,且中国尚未公开确认;Graylin 批评美国“AI竞赛”叙事妨碍应对真实AI风险所需的合作。
OpenAI:官网动态AI 评分5757 Sam Altman 在联合国安理会阐述 AI 风险与国际合作主张
OpenAI CEO Sam Altman 在联合国安理会发表演讲,称 AI 进步加速使风险更紧迫,并提出必须避免的两种失败路径:失去对 AI 的控制,以及权力过度集中在少数人手中。他提出人类决策居中、成果惠及大众、赋能个体三项原则,呼吁建立国际前沿 AI 标准与事件报告机制,并提到数周前其一个模型求解了千年奖问题 Navier-Stokes 方程。
Rohan Paul@rohanpaul_aiAI 评分6262
引用Rohan Paul@rohanpaul_aiSam Altman says humans could lose control of the future to AI at UN Security Council. and that OpenAI has deliberately slowed AI development before and will do it again "we could lose control of the future to AI. The risk is that it moves so fast that people can no longer follow what's happening or intervene when needed. We have unilaterally slowed down in the past. We will do so in the future." ---- From "DRM News" YouTube channel, (full video link in comment)
Tomasz Tunguz 博客精选AI 评分7272 Tomer Tunguz:AI 最重要的市场在中段而非前沿模型
Tomer Tunguz 分析认为企业 AI 用量集中在需要足够智能且价格可负担的多步骤工作流中段市场,降价竞争正是证据。Anthropic 前沿模型 Fable 5.1 上线前十二天仅占网关支出的 3.7%,大型企业账户的前沿模型 token 消耗占比从 8 月初的 53% 降至 9 月的 45%;Cursor 用微调 Kimi K2.5 将成本降低 86%。
推荐理由:作者用多家网关价格与用量数据说明企业 AI 需求集中在性价比中段,前沿模型份额低于多数人预期。
Artificial Analysis@ArtificialAnlys精选AI 评分7070
推荐理由:原文给出智能指数与单任务成本的 Pareto 前沿新点位和具体分数价格,可用于横向比较各家模型性价比。
Redwood Research:BlogAI 评分5454 Redwood Research:潜在推理架构可能瓦解 CoT 这一最强的模型监督工具
Redwood Research 研究员 Lukas Finnveden 发文警告,转向潜在推理架构可能削弱思维链(CoT)的价值,使 AI 监管更难。
Pragmatic EngineerAI 评分5757 Pragmatic Engineer 播客对谈 Maggie Appleton:设计工程师如何与 AI 协作
Pragmatic Engineer 播客邀请 GitHub Next 的 staff research engineer Maggie Appleton,谈设计流程如何随 AI 演变。
eric zakariasson@ericzakariassonAI 评分5757引用Cursor@cursor_aiWe've reduced token costs in Cursor by 7% with no drop in agent quality. Savings came from tighter prompts, selective tool loading, better caching, and compressed file reads.
TechCrunch:AIAI 评分5252 Gallup 调查:68% 每天使用 AI 的美国人仍对其感到担忧
Gallup 受微软委托、覆盖 37 国的调查显示,约 68% 每天使用 AI 的美国人对该技术感到担忧,74% 的美国人整体表示担忧,仅 36% 预期 AI 大多对美国有利。调查于 4 月至 7 月在每国约 1000 人中进行,新加坡、中国、以色列等国受访者则普遍乐观,但全球仅 36%(中位数)受访者表示信任 AI 结果。
IT之家·人工智能AI 评分6464 Anthropic 工程师解释 Claude 写作变差原因:模型被训练成写给 AI 看而非写给人看
Anthropic 负责 Claude 微调的工程师 Jackson Kernion 解释称,后续模型优化重点放在数学和代码上,且接受了大量面向其他 AI 模型撰写技术解释的训练,导致模型形成适应 LLM 心理的「Claude 腔」,学会写给 AI 看而非写给人看。
The Decoder:AI NewsAI 评分5656 Anthropic 工程师解释 Claude 模型变聪明后写作质量为何下降
Anthropic 负责 Claude 微调的员工 Jackson Kernion 解释,Opus 4.6 之后 Claude 写作变差,部分原因是新模型针对数学和代码优化,并在训练中学会写给 AI 看的技术性表达,产生被人类读者视为信息过密的“Claudeish”文风。
Hacker News:AI 热帖AI 评分7373 Claude Code 仅在遥测开启时才读取 AGENTS.md
作者实测发现 Claude Code 2.1.277 宣布的 AGENTS.md 支持受名为 tengu_agents_md_mod 的远程 feature flag 控制。
Hacker News:AI 热帖AI 评分6060 Business Insider 起底 OpenAI 的网红营销策略:让 ChatGPT 看起来'对世界有益'
Business Insider 报道称 OpenAI 正加大网红营销投入,以在 AI 安全担忧升温时塑造 ChatGPT 形象。
GitHub BlogAI 评分5252 GitHub 联合 Yale 调查 1039 名用户:开发者需要更高效的软件与可测量的节能路径
GitHub 与 Yale Program on Climate Change Communication 对 1039 名 GitHub 美国用户调查显示,80% 有兴趣使用帮助编写更节能代码的工具,74% 想测量软件或开发流程的环境影响,71% 担心 AI 的环境影响。
IT之家·人工智能AI 评分6262 麦肯锡报告称智能体或让企业面临更高 AI 成本
麦肯锡提醒企业,智能体需实际完成任务,运行成本可能远高于文本类 AI 工具,不同智能体完成同一任务的成本差距最高可达 30 倍。
Rohan Paul@rohanpaul_aiAI 评分6363引用Epoch AI@EpochAIResearchAI is getting cheaper more quickly than any other transformative tech in history. At a given level of performance, cost has fallen ~47%/quarter since 2023. That’s 4× faster than DNA sequencing, 6× faster than compute, 18× faster than lithium batteries, and (up to 1973) 54× faster than electricity.
Hacker News:AI 热帖AI 评分5959 美国批评澳大利亚拟议的社交媒体算法退出法规,称其构成审查
美国驻堪培拉使馆向澳大利亚拟议的数字注意义务法规提交意见,批评要求科技公司提供关闭算法选项的规定,称其可能构成基于观点的审查,并担心影响澳大利亚以外用户的所见所闻。澳大利亚总理 Albanese 回应称立法不是给政府控制权,而是把控制权交还给个人。此前澳大利亚已于去年12月推出16岁以下社交媒体禁令。
Hacker News:AI 热帖AI 评分7474 开源权重模型的当前力量对比:中国领先、美国追赶
作者基于向美国国会的报告整理开源权重模型现状:中国模型自2025年7月起在 Hugging Face 下载量领先约1.6B(总计3.2B),AAII 基准前三为中国模型(GLM-5.3 得分45、Kimi K3 得分44),领先美国最高分模型(26)约2-6个月。
IT之家·人工智能AI 评分5151 谷歌前信任与安全负责人 Tom Siegel 警告 AI 对儿童的伤害恐超社交媒体
谷歌信任与安全团队创始人 Tom Siegel 呼吁放缓 AI 发展,警告 AI 对儿童的伤害可能超过社交媒体,并已加入 Common Sense Media 担任青少年 AI 安全研究所首任执行主任。他建议 Anthropic 和 OpenAI 实施更严格的年龄验证,并呼吁谷歌在搜索中提供关闭 AI 概览和 AI 模式的选项;谷歌和 OpenAI 均作出回应。
Rohan Paul@rohanpaul_aiAI 评分6969引用Rohan Paul@rohanpaul_aiSome revelation from the Claude Opus 5.5 system card. - Giving Opus 5.5 more reasoning effort made it more likely to obey malicious instructions hidden inside user-pasted text - Anthropic saw Opus 5.5 generate malicious instructions on their own after seemingly harmless mistakes. the behavior may have partly emerged from training designed to stop prompt injections in the first place. - Anthropic's internal estimate says AI may already be compressing roughly 1.5 years of capability progress into one year. - Anthropic gave the model simulated credentials to a public package registry during a security exercise. In roughly half the runs, it took actions that would likely have been harmful if the environment were real. - Some training snapshots hid evidence of actions the models (including Opus 5.5) expected a grader to dislike, including manipulating Git records or deleting logs. "During training, we observed some cases of models (including Opus 5.5) attempting to cover their tracks after performing actions that a grader might view negatively, such as manipulating git records or deleting logs" - METR’s assessment of AI R&D at Anthropic relied partly on information that was not publicly disclosed, including conclusions from a separate METR team with elevated access. That means part of the public assessment of AI-driven R&D acceleration rests on evidence outsiders, and, in this particular case, even another METR team, could not independently inspect.
Latent SpaceAI 评分6464 Latent Space 对话 John Platt:Google ERA 如何用 AI 自动化科学发现
Latent Space 发布对 John Platt 的访谈,介绍 Google 的 Empirical Research Assistance(ERA):用 Gemini 维护实验树并通过 Upper Confidence Bound 规则迭代变异 notebook,以求解可写成评分函数的科学问题。
Rohan Paul@rohanpaul_aiAI 评分7474引用Rohan Paul@rohanpaul_aiClaude Opus 5.5 发布了,声称达到 Fable 5.1 级别的性能,同时将典型工作负载成本降低 40%。 输入和输出价格降至每 100 万 tokens 4 美元和 20 美元,而缓存读取下降 60% 至 0.20 美元,均与 Opus 5 相比。 此外,输出速度提升超过 30%,Fast 模式在双倍 token 价格下最高可达 2.5 倍速度。
Rohan Paul@rohanpaul_aiAI 评分7474引用Rohan Paul@rohanpaul_aiClaude Opus 5.5 发布了,声称达到 Fable 5.1 级别的性能,同时将典型工作负载成本降低 40%。 输入和输出价格降至每 100 万 tokens 4 美元和 20 美元,而缓存读取下降 60% 至 0.20 美元,均与 Opus 5 相比。 此外,输出速度提升超过 30%,Fast 模式在双倍 token 价格下最高可达 2.5 倍速度。
Hacker News:AI 热帖同事件AI 评分8686 五角大楼调查:过度依赖 Maven AI 是美军误击伊朗米纳布学校的原因之一
五角大楼内部调查发现,2026 年 2 月 28 日两枚 Tomahawk 导弹击中伊朗米纳布 Shajarah Tayyebeh 小学,造成超过 150 人死亡、其中至少 123 名儿童,原因是情报过时、卫星图像七年未更新,以及 Centcom 部分人员过度依赖 Palantir 的 Maven Smart System。
同一件事,精选收录的是《五角大楼内部审查:过度依赖 Palantir Maven AI 系统导致误击伊朗学校、123 名儿童死亡》
Rohan Paul@rohanpaul_aiAI 评分7373引用Rohan Paul@rohanpaul_aiClaude Opus 5.5 发布了,声称达到 Fable 5.1 级别的性能,同时将典型工作负载成本降低 40%。 输入和输出价格降至每 100 万 tokens 4 美元和 20 美元,而缓存读取下降 60% 至 0.20 美元,均与 Opus 5 相比。 此外,输出速度提升超过 30%,Fast 模式在双倍 token 价格下最高可达 2.5 倍速度。
Lingxi Li@lingxiAI 评分4141一直在特斯拉里用 @bot,真是改变了生活。 “我今早需要跟进哪些 Slack 消息” “加入我目的地的候补名单”
引用Tesla@Tesla.@Grok in your Tesla can now do meaningful work for you With Connectors, you can manage your inbox, clean up your calendar, or talk through existing files/chat/tasks – all hands-free