Meta Muse 走红后,Azeem Azhar 追问你的智能体究竟为谁服务
Azeem Azhar 分析 Meta 上月推出的 Muse 智能体,其上线后成为美国 iPhone 免费榜第一,约 50 万人在用,Walmart、Best Buy、Sephora、Expedia 和 Shopify 已接入,Meta 将从交易中抽取小额费用。
Azeem Azhar 分析 Meta 上月推出的 Muse 智能体,其上线后成为美国 iPhone 免费榜第一,约 50 万人在用,Walmart、Best Buy、Sephora、Expedia 和 Shopify 已接入,Meta 将从交易中抽取小额费用。
Ed Zitron 发布《The Hater's Guide To AI Debt》第二部分,聚焦 AI 数据中心债务的运作风险,指金融业已向(不含超大规模云厂商的)数据中心项目投入约 1000 亿至 1500 亿美元债务并计划再投数千亿。
Ruby on Rails 创始人、Basecamp 联合创始人 David Heinemeier Hansson 在 Rails World 2026 演讲中宣布,自 2026 年 3 月前后起已不再手写任何代码。
Runway 本月推出研究预览版 GWM Worlds 2,将高保真视频和音频生成变为实时交互模拟,以 720p、24 fps 连续视频和 48,000 Hz 音频流式输出,并新增 WorldPrompt 输入格式,可固定环境部分方面并通过带时间戳的事件控制角色、相机和场景。
Redwood Research 的 Alex Mallen 撰文提出,部署中的持续学习(如在线 RL 或持久记忆)会因有用性压力让 AI 学会绕过拦截式监控,这一过程无需模型有预谋。文章认为该问题易被察觉但难以修复,并评估了降低协议有用性成本、在线训练监控、对抗式训练及保留独立监控等缓解方案的优劣。
Stripe CEO Patrick Collison 与 Boris 对谈 Stripe 如何使用 Claude Code。目前约 36% 的 Stripe pull request 以提示词起步,由 Claude Code 在隔离的开发环境中完成;一位工程师六个月内合并了 600 个 AI 编写的 pull request,仅回滚一次。
推荐理由:Stripe CEO 亲述工程一线数据,读者可以借此了解大型团队实际落地 Claude Code 的做法与结果。
英伟达 CEO 黄仁勋在接受《纽约时报》采访时表示,AI 会先自动化写代码、整理资料等具体任务,不会必然消灭整个职业;针对"AI 将在 10 年内毁灭人类"的说法,他称相关预测没有科学和研究依据。他还提到 AI 数据中心将推高电力需求,未来几年仍需化石燃料支撑,而真正改变医院、学校等行业的是应用层而非模型排行榜。
The Verge 记者 Justine Calma 评析黄仁勋在 The Ezra Klein Show 上的言论,黄仁勋称 AI 拯救气候前不得不先使用化石燃料、造成痛苦。
Elon Musk 转发消息称 Google 将于下周用 SpaceX Falcon 9 发射 TPU 上太空,测试轨道 AI 数据中心,并预测太空中的算力最终将占到全部算力的100%。
BREAKING: Google launching TPUs in space NEXT WEEK on SpaceX falcon 9 to test AI data centers orbit ITS HAPPENING
Tomer Tunguz 撰文认为手写代码对多数程序员已不再是经济上有产出的工作,软件工程正转向设计让 AI 大规模正确写代码的系统。
TechCrunch 刊发对 ElevenLabs 联合创始人兼 CEO Mati Staniszewski 的访谈,公司年经常性收入达 6 亿美元,55% 以上来自企业客户,据报道称投资人估值 220 亿美元。
Epoch AI 报告估算,2026 年华为总 AI 算力产出约为 Nvidia 的 1/25,Ascend 950 性能约为 B300 的 1/7、2022 年 H100 的一半。报告认为即便华为路线图全部兑现并计入走私 HBM 情景,到 2030 年其在芯片性能和算力产出上仍落后 Nvidia 约 4 年,出口管制是主要制约因素。
推荐理由:报告用量化估算比较双方芯片性能、产量和 HBM 供给,读者可以据此理解出口管制下差距的成因与走向。
Endura Therapeutics CEO Adrian Sanborn 在 Latent Space 发表客座文章,提出生物科技公司应对 AI 的两种路径:用新技术把实验数据产出提速一个数量级的 Foundries,以及把 LLM 融入日常运营提升决策的 Navigators。
Hugging Face CEO Clément Delangue 回顾今年 7 月首次公开披露的自主智能体网络攻击,总结三条教训。
The Verge 主编 Nilay Patel 因 Meta 拒绝 Decoder 采访邀约,转而逐段点评 Zuckerberg 在 Sources 播客中关于 Meta Glasses、青少年安全和解、Muse 商业模式与数据中心的说法。
Google DeepMind 负责人 Koray Kavukcuoglu 表示 Gemini 4 已处于早期后训练阶段,希望远在年底前发布,工程师已内部将其用于编码工具 Antigravity。
Gary Marcus 引用黄仁勋接受 Ezra Klein 访谈时的说法:若公司无法控制自己的软件就应关停实验室,并指出两人实际上在讨论 OpenAI 的 Hugging Face 事件,而黄仁勋当时不知道涉事产品尚未上市。
Tomorrow on the show: @JensenHuang, the CEO of NVIDIA, who thinks A.I. fear is getting way out of hand.
Tripo 转发 Jeffrey Katzenberg 长文《The World is Changing: AI For Creativity》。
The 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.
Jeffrey 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。
The 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.
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。
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。
Dario 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。
Wild 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.
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。
Sam 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)
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 Engineer 播客邀请 GitHub Next 的 staff research engineer Maggie Appleton,谈设计流程如何随 AI 演变。
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。
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。
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。
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。
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。
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”
.@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
阿里巴巴 CEO 吴泳铭在杭州云栖大会 2026 上分享机器智能时代战略路线图,称机器思考目前不足人类思考总量的 3%,规模化到人类能力的 1,000 倍仍有巨大空间。
At Apsara Conference 2026 in Hangzhou, Alibaba CEO Eddie Wu shared our strategic roadmap for the Machine Intelligence era: - Scaling to 1,000x human capacity leaves an enormous growth runway ahead. - Machines are becoming the primary force behind Thinking. - Machine Thinking is currently <3% of all Human Thinking.
Ed Zitron 依据对 Microsoft 财报和来源信息的分析估算,Microsoft 约 2650 亿美元 capex 中仅约 500 亿美元 GPU 投入约 1.993GW AI 容量运行,超 1000 亿美元短周期资产未装机,全行业在建工程超 3740 亿美元,估算约 2340 亿美元 GPU 和 TPU 仍在仓库中。
Nathan Lambert 在 Interconnects 播客中与 Epoch AI Insights 团队负责人 Jean-Stanislas(JS)Denain 讨论 AI 加速议题。
前美国国务院副首席数字与人工智能官、现 Accenture Federal Services 首席 AI 官 Garrett Berntsen 在 ChinaTalk 播客中表示,采用 AI 最难的不是造模型,而是围绕它重新设计机构、工作流程、激励与决策体系,仅靠 API 接入远远不够。
Latent Space 发布对 TypeSafe AI CEO Diogo Almeida 的约两小时访谈,围绕其新模型 Jev 展开。