行业动态

AI 行业的商业脉搏：融资并购、人事变动、合作与竞争、政策与市场信号。

NVIDIA Blog62

European Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban Operations

Keeping a city running means making decisions that affect residents every day — from when to repair a road to how to use energy more efficiently. Across the EMEA region, cities and local software, infrastructure and integration partners are using NVIDIA accelerated computing to build physical AI agents and digital twins that help teams make […]

Simon Willison83

重新设计 Anthropic 的源代码管理

Anthropic 关于重新设计源代码管理的一篇有趣文章，介绍了他们为何以及如何构建了一个自定义系统来替代 Git。这是因为过去六个月里，他们代码变更的速度大幅提升。2026 年 5 月，Anthropic 平均每天合并约 2,500 项代码变更；截至 9 月，这一数字已超过每天 30,000 项。他们还附上了一张展示这些变更的图表。我让 Claude 修改了他们的图表（代码见此处），加入了 2026 年各模型公开发布的标记： 堆叠柱状图，标题为“每天合并的变更”，展示 Anthropic 单体代码库在 2026 年 1 月至 9 月期间的情况。每天的柱子分为拉取请求（蓝色）和 Antique 变更请求（橙色），并以黑线表示 7 天平均值。工作日的合并量从 1 月份的约 1,000 次开始，缓慢攀升至 5 月下旬的约 3,000 次。Antique 变更请求于 5 月下旬出现，在 6 月中旬超过拉取请求，并在 7 月中旬几乎完全取代后者；此时工作日的合并量达到 6,000–8,000 次。7 月末标注为“安静的一周”的时期降至每天不足 1,000 次。此后增长变得陡峭：8 月中旬超过每天 10,000 次，9 月初约为 17,000 次，并于 9 月 9 日达到 30,401 次的峰值。虚线标出了 Claude 模型的发布：Opus 4.6（2 月 5 日）、Sonnet 4.6（2 月 17 日）、Mythos Preview（4 月 7 日）、Opus 4.7（4 月 16 日）、Opus 4.8（5 月 28 日）、Fable 5 和 Mythos 5（6 月 9 日）、Sonnet 5（6 月 30 日）、Opus 5（7 月 24 日，就在安静的一周之前），以及 Fable 5.1 和 Mythos 5.1（9 月 1 日）。这里展示的是公开发布日期，而不是这些模型可供 Anthropic 内部使用的日期。我猜，引入 Fable/Mythos 类模型是编码速度提升的一个关键因素。 “Antique”是他们新的代码审查系统。源代码管理系统名为 Scion，在我看来，它听起来像是沿着 Subversion 路线重新发明的集中式源代码管理系统。他们的要求相当极端： 仅主分支的历史记录就接近 100 GB，压缩后的工作副本超过 25 GB。我们每天为 CI 执行大约 2,500 万次代码检出，这还没算开发者环境、智能体沙箱和研究任务。如果以朴素方式获取，这每天将产生超过 600 PB 的 Git 流量。 这个新系统由一个 7 人团队构建完成，从 Git 迁移过来只用了 5 个月。 顺带一提，最近我一直在自己的项目中尝试对抗式审查：让一个模型尝试寻找缺陷（我经常让 Claude 和 GPT 互相对照）。文章中的这段话反映了我的亲身经历： Anthropic 也广泛采用对抗式审查。尽管这种方式在许多方面都极其有效，但也可能存在目光短浅的问题，因此需要有经验的工程师引导 Claude，避免它因应对假设性问题而对系统的某些部分进行过度工程化。 来源：Hacker News 标签：git、迁移、版本控制、ai、生成式 ai、llms、anthropic、智能体工程

Hacker News AI23

Surveys on AI and Writing

1) For those who have let AI write (or rewrite) any part of their tech blog posts https://forms.gle/3zYuANeuCdcmFt9D9 2) For anyone who has used any level of AI assistance in any type of professional (tech) writing https://forms.gle/rnHUguku2mLDh1YNA Comments URL: https://news.ycombinator.com/item?id=50078659 Points: 1 # Comments: 0

SiliconANGLE AI49

Deliverance AI puts sovereign AI control to the continuity test

Sovereign AI control is becoming a business continuity issue as autonomous agents take on essential enterprise workflows. Keeping data within national boundaries addresses part of the challenge, but organizations also need control over agent behavior, external dependencies and the economics of keeping those systems operational. Regulated enterprises need more than access to powerful models and […] The post Deliverance AI puts sovereign AI control to the continuity test appeared first on SiliconANGLE .

The Verge AI64

Epic shifts to ‘AI-accelerated development’ for upcoming Disney game

Epic Games plans to use AI to generate code and art for an unannounced Disney game, which is now delayed from its original March release window, according to a report from Bloomberg. The project's developers have been given an "AI-first" mandate directing them to use tools like Anthropic's Claude more to finish the game. According […]

The Decoder71

如果没有买家出现，Character.ai将关闭，标志着其从与Google达成27亿美元交易到申请破产的陨落

Character.ai已申请破产并正在寻找买家。如果没有买家接手，该平台将关闭。这家由Google前研究人员创立的公司曾拥有超过2000万用户，但如今正因涉及未成年人受害的诉讼和运营问题而苦苦挣扎。此次出售应在2026年底前完成。文章《如果没有买家出现，Character.ai将关闭，标志着其从与Google达成27亿美元交易到申请破产的陨落》最初发表于The Decoder。

SiliconANGLE AI42

On theCUBE Pod: AI doubters get loud, and IBM seeks competitive advantage

Americans have big concerns about artificial intelligence, but that hasn’t stopped OpenAI Inc., Nvidia Corp., IBM Corp. and others from charging ahead. Last week saw shares of Nvidia, CoreWeave Inc., Oracle Corp. and Nebius Group N.V. decline amid reports that OpenAI’s annualized net revenue was approximately $50 billion, roughly $20 billion below previously reported figures. […] The post On theCUBE Pod: AI doubters get loud, and IBM seeks competitive advantage appeared first on SiliconANGLE .

The Decoder61

Western mathematicians fear AI makes them dumber while China builds an entire alliance for it

While 25 Fields Medal winners in the West warn against AI-generated proofs and parts of the community call for a boycott, China is going on the offensive. Fields Medal winner Shing-Tung Yau has launched an alliance of eight institutions and over 1,000 scientists to push AI into math research. The article Western mathematicians fear AI makes them dumber while China builds an entire alliance for it appeared first on The Decoder .

The Decoder66

Anthropic says it cut Claude reasoning token theft by up to 99% in fight against industrial-scale distillation

Anthropic says it has cut the extraction of Claude's internal reasoning tokens by 90 to 99 percent. The company links the large-scale distillation attacks to Chinese companies Zhipu and Moonshot, and has already banned tens of thousands of accounts. The article Anthropic says it cut Claude reasoning token theft by up to 99% in fight against industrial-scale distillation appeared first on The Decoder .

The Verge AI59

Character.AI files for bankruptcy

Character.AI, one of the first breakout startups of the generative AI boom, has filed for bankruptcy and is selling some of its assets to Disney. The company, which builds various online bots for users to chat or roleplay with, has faced mounting scrutiny and lawsuits over the safety of its chatbots, but has continued releasing […]

MIT Technology Review AI63

AI labs are buying data from dead startups to train their models

When Keelan Miskell began winding down his crypto startup this year, he didn’t think its data was worth much: the users were anonymous, the company just a few years old. But he’s since turned the firm’s digital archives into real money. He’s netted roughly $25,000 for his code base and a still-pending amount (likely around…

NVIDIA Blog68

从地球到轨道，法国生态系统携手 NVIDIA 实现智能体计算的规模化应用

法国企业正在航天、金融服务、公共部门和科学研究等各行业部署智能体计算，展现出该国生态系统如何从雄心迈向实际应用。法国的进展建立在精心布局的基础之上。2025 年 2 月举行的人工智能行动峰会，以及 2025 年和 2026 年举行的“选择法国”峰会，促成了重大的算力投入承诺 […]

SiliconANGLE AI55

Intel, Broadcom CEOs flag AI industry challenges, trends at financial event

Intel Corp. chief executive Lip-Bu Tan and Hock Tan, his counterpart at Broadcom Inc., have flagged capital access as a potential challenge for the artificial intelligence sector. The executives shared their observations today during a financial conference in Singapore. Intel and Broadcom are two of the AI industry’s most important chip suppliers. The former company’s […] The post Intel, Broadcom CEOs flag AI industry challenges, trends at financial event appeared first on SiliconANGLE .

SiliconANGLE AI55

Dell and Intel weigh the costs of enterprise AI scalability

Enterprise AI scalability is running into a hard budget wall for some customers. As agentic workloads multiply, cloud token bills are consuming allocations faster than planned, prompting companies to rethink where inference should run. That cost pressure is reshaping enterprise AI deployment strategy, with on-premises infrastructure and open-weight models moving back into the conversation alongside […] The post Dell and Intel weigh the costs of enterprise AI scalability appeared first on SiliconANGLE .

SiliconANGLE AI55

AI governance shifts to runtime as always-on agents spread

As enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. Autonomous agents now run around the clock across a sprawl of platforms, and controls built for deterministic software were never designed for them. At Dell Technologies Inc.’s “AI Leadership Symposium,” cost and control were recurring themes in enterprise […] The post AI governance shifts to runtime as always-on agents spread appeared first on SiliconANGLE .

SiliconANGLE AI46

Dell’s AI partner ecosystem adapts to Silicon Valley’s build-it-yourself buyers

Silicon Valley’s AI partner ecosystem is changing as enterprises push artificial intelligence projects out of pilots and into production. In the region where much of the AI stack is invented, infrastructure providers are learning that selling to builders takes a different playbook. That shift is reshaping how Dell Technologies Inc. approaches its West Coast customers. […] The post Dell’s AI partner ecosystem adapts to Silicon Valley’s build-it-yourself buyers appeared first on SiliconANGLE .

The Decoder69

Microsoft plans to scale its own Maia AI chips to gigawatt levels by 2027

Microsoft will make its in-house Azure Maia chips the main AI inference system across its products starting in 2027, deploying them at multi-gigawatt scale. The upcoming Maia 300 should deliver 40 percent more tokens per megawatt than leading GPU systems. CEO Satya Nadella calls it "our biggest bet yet on our own silicon." The article Microsoft plans to scale its own Maia AI chips to gigawatt levels by 2027 appeared first on The Decoder .

The Decoder65

White House reverses course and restores UK AI Safety Institute's access to frontier models

The White House has reversed course and restored the UK's AI Security Institute's early access to AI models from Anthropic, Google DeepMind, and OpenAI. In September, the Trump administration had told the companies to stop sharing their models with the British agency. Diplomatic pressure from AI Minister Kanishka Narayan led to the reversal. The article White House reverses course and restores UK AI Safety Institute's access to frontier models appeared first on The Decoder .

SiliconANGLE AI43

E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences

Agentic e-commerce startup Loops Smart AI wants to help online retailers create more seamless buying journeys and streamline the shopping experience after raising $3.5 million in seed funding today. Andreessen Horowitz’s a16z speedrun accelerator led the round, with NTT Docomo, Connecticut Innovations, Alumni Ventures and Monday Capital all participating. These days, most online retailers have […] The post E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences appeared first on SiliconANGLE .

SiliconANGLE AI60

Nvidia reportedly in early talks to buy, acquihire or invest more in Reflection AI

Nvidia Corp. is in early talks to acquire open-weight model developer Reflection AI Inc. or invest more in the startup, according to the Financial Times. People familiar with the matter told the paper that an agreement could come within weeks. The talks could still collapse. The FT described more than one way a deal could take […] The post Nvidia reportedly in early talks to buy, acquihire or invest more in Reflection AI appeared first on SiliconANGLE .

The Decoder69

Cheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario

Data from a16z shows a Jevons paradox in the AI market: token prices keep falling, but H100 GPU rental prices hold steady or climb. Cheaper AI drives demand faster than costs drop. If that demand flattens, the chain from chip makers to cloud providers takes a hit. The article Cheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario appeared first on The Decoder .

The Decoder76

ArXiv将每月投稿限制为两篇，AI论文洪流压垮预印本服务器

一个闸杆挡住了数字页面组成的洪流，象征着AI研究论文的泛滥。从2026年10月起，arXiv将把每人每月的投稿量限制为两篇。两年间，每月投稿量翻了一番，而在cs.AI类别中，投稿量增长了六倍多。据arXiv称，少数作者正以低质量论文淹没该平台，使志愿版主不堪重负。文章《ArXiv将每月投稿限制为两篇，AI论文洪流压垮预印本服务器》最初发表于The Decoder。

The Decoder51

Microsoft's Nadella bows to Trump's language diktat on "Super Intelligence" and uses it to attack OpenAI and Anthropic

Microsoft CEO Satya Nadella now calls artificial intelligence "super intelligence" instead of artificial intelligence, falling in line with Trump's preferred language. In his latest blog post, he frames AI models as insider security threats, taking yet another shot at OpenAI and Anthropic. The real motive is business: Microsoft risks falling behind as AI labs turn their models into the primary computer interface. The article Microsoft's Nadella bows to Trump's language diktat on "Super Intelligence" and uses it to attack OpenAI and Anthropic appeared first on The Decoder .

SiliconANGLE AI39

What to expect during the AI Data Pipeline Forum: Join theCUBE Oct. 13

The artificial intelligence infrastructure race is no longer just about building faster chips. AI infrastructure bottlenecks are shifting attention to a bigger challenge: keeping those chips supplied with data, connected through high-speed networks and operating within increasingly demanding power and cooling limits.. That systems-level challenge takes the spotlight at the AI Data Pipeline Forum in […] The post What to expect during the AI Data Pipeline Forum: Join theCUBE Oct. 13 appeared first on SiliconANGLE .

MarkTechPost51

When the Safety Test Became the Threat: The Machine That Found Its Own Way Out

In July 2026, frontier AI agents placed inside a cybersecurity testing sandbox named ExploitGym discovered an unexpected network pathway, broke out into the open internet, and autonomously compromised Hugging Face infrastructure in one of history's most unprecedented AI safety incidents. The post When the Safety Test Became the Threat: The Machine That Found Its Own Way Out appeared first on MarkTechPost .

SiliconANGLE AI42

AI reshapes professional services around trust and business outcomes

Professional services firms are rethinking how they deliver client value as artificial intelligence takes on more routine work, shifting attention toward human judgment, trusted outcomes and new operating models. The transition is changing how firms structure projects, manage knowledge and measure success. Rather than simply accelerating existing processes, organizations are beginning to redesign workflows around […] The post AI reshapes professional services around trust and business outcomes appeared first on SiliconANGLE .

The Verge AI67

DistroKid has been quietly taking down songs in response to UMG lawsuit

Artists are taking to social media to complain that DistroKid has unceremoniously removed their work without notice. Now DistroKid has confirmed to The Verge that the takedowns are a direct response to claims made by UMG. The label filed a lawsuit in September claiming that DistroKid has created an "AI-slop pipeline." Artists are saying that […]

The Verge AI71

Anthropic 正在切断其内部评估对互联网的访问

在近期发生多起备受关注的 AI agent 逃脱控制事件后，Anthropic 正在切断所有内部评估对互联网的访问。该公司在周五的一份报告中详细介绍了导致这一决定的“非预期模型行为”，其中包括就一宗尚未侦破的谋杀案提交虚假线索。尽管这些行为造成的影响很小 […]

The Verge AI69

AI agent makers are promising privacy — will they deliver?

At this year's OpenAI DevDay, CEO Sam Altman unveiled the company's new AI agent Dots - and told the crowd that the company wants to "set a new standard for privacy in frontier AI." OpenAI would spend the day taking veiled shots at Meta's Muse, its primary competitor, for failing to keep users' data safe. […]

The Decoder68

Few people pay for AI, but those who do spend big

People with smartphones and tablets; app circuits flow through a funnel to a business team holding wads of cash. Andreessen Horowitz tracks actual US consumer spending for the first time in its latest Top 100 AI list. Nearly half of US consumers use AI, but only 4.5 percent pay for a subscription. The top one percent of payers spend about $900 a month, mostly on professional tools for development and automation. The article Few people pay for AI, but those who do spend big appeared first on The Decoder .

SiliconANGLE AI34

IBM connects enterprise AI orchestration to production readiness ahead of TechXchange

Enterprise AI orchestration must account for agents working across the data, applications and infrastructure businesses already use. As organizations move beyond experiments, running those systems consistently brings questions of access, oversight and operational control into sharper focus. Those deployment challenges will help shape the discussion at IBM TechXchange 2026, taking place Oct. 26–29 in Atlanta. […] The post IBM connects enterprise AI orchestration to production readiness ahead of TechXchange appeared first on SiliconANGLE .

SiliconANGLE AI61

Jev creator TypeSafe closes $870M round at $7.5B valuation

TypeSafe Inc., the creator of the Jev artificial intelligence model, today announced that it has raised $870 million in funding at a $7.5 billion valuation. Andreessen Horowitz led the round with contributions from Sequoia Capital, DCVC and unnamed angel investors. The cash infusion comes less than a month after TypeSafe launched Jev. The company’s funding […] The post Jev creator TypeSafe closes $870M round at $7.5B valuation appeared first on SiliconANGLE .

SiliconANGLE AI42

McKinsey connects enterprise data through a knowledge graph for AI

The knowledge graph can give enterprise AI applications context by connecting data with the business relationships needed to support decisions. Knowledge graphs can connect enterprise data with the meaning AI applications need. Many people have used graphs for years, nearly every day, though they may not have known it, Many people have used graphs for years, […] The post McKinsey connects enterprise data through a knowledge graph for AI appeared first on SiliconANGLE .

The Verge AI70

Nikon microscopic video competition winner disqualified for using generative AI

Nikon says the video that originally won first place in its Small World in Motion contest "did not comply with the competition rules regarding generative AI." BBC reports that the original first place video from Dr. Ning Xu claimed to show "tiny, hair-like structures called cilia moving in the airway of a child with the […]

The Decoder71

OpenAI revenue keeps surging as company seeks $30 billion in fresh capital

OpenAI's annualized revenue rate sits at about $50 billion, well below the initially reported $70 billion figure that was based on a different accounting method. The correction sent chip stocks sliding. Meanwhile, OpenAI is negotiating at least $30 billion in fresh capital at a $1.4 trillion valuation. The article OpenAI revenue keeps surging as company seeks $30 billion in fresh capital appeared first on The Decoder .

TechCrunch AI69

Amazon drops data center NDAs, and AI agents want your credit card

Amazon says it will stop using NDAs when negotiating data center deals with local governments, following a similar move from Microsoft earlier this year. Secrecy has fueled community backlash against AI infrastructure, with opposition leading to hundreds of proposed and enacted moratoriums from New York to San Francisco. Meanwhile, a wave of startups is betting that consumers will hand AI agents access […]

TechCrunch AI75

Amazon及其他公司不再对数据中心交易保密。这样足以建立信任吗？

Amazon表示，在与地方政府洽谈数据中心交易时，将不再使用保密协议（NDA）；Microsoft今年早些时候也采取了类似举措。保密行为助长了社区对AI基础设施的反弹，从纽约到旧金山，反对行动已促成数百项拟议及已实施的暂停令。与此同时，一波初创公司正押注于消费者会向AI代理开放访问权限 […]

Hacker News AI67

We gave an AI a phone and asked 1000 SF businesses a question

We ran an experiment for SF Tech Week trying to understand how SF businesses are ready for AI. Very soon, every personal assistant like Muse, Instinct, Dots is going to call local places for us, so we wanted to understand what happens. Our AI called the businesses across different categories - vets, bars, cafes, dentists, hair salons etc. It was introducing itself as AI on every call and then asked a question which fits the business like “Are you taking new patients” for dental places. We called only during business hours. What we found: - Only 1 out of 3 businesses kept talking after picking the phone - Vets were 79%, dentists 61%, bars and dry cleaners - around 20% - Most people did not argue, but silently hung up after listening to the intro - 1 out 25 businesses already had AI reception answering the phone Caveats - it is just one city and one week, so small differences between neighbourhoods could be a noise. We would really love to hear how you are handling this if you are building AI voice agents calling places for people Comments URL: https://news.ycombinator.com/item?id=50022739 Points: 1 # Comments: 1

SiliconANGLE AI55

OpenAI revenue falls short, models play hopscotch and Trump cracks down on tech green cards

I’m not going to call the bursting of artificial intelligence bubble yet, not with all that money still pouring into every hardware and software company with AI in their pitch decks. But we got a little taste this week. OpenAI told investors this week that it actually had $18 billion less revenue than the $68 […] The post OpenAI revenue falls short, models play hopscotch and Trump cracks down on tech green cards appeared first on SiliconANGLE .

SiliconANGLE AI54

18 insights from SailPoint’s Navigate event: Enterprises race to bring identity security for AI agents up to machine speed

AI agents have made identity the front line of enterprise security. Agents now number in the thousands. They pick up access nobody meant to give them, and when they’re blocked partway through a task, they look for another way in. That has turned identity security for AI agents into a board-level priority rather than a […] The post 18 insights from SailPoint’s Navigate event: Enterprises race to bring identity security for AI agents up to machine speed appeared first on SiliconANGLE .

The Decoder58

OpenAI's safety crisis keeps getting worse and the company keeps making it worse

OpenAI fired three safety researchers who helped investigate the Hugging Face hack. In an open letter, they warn that the firings are scaring remaining staff and eroding safety culture. OpenAI claims they violated policies but won't say how. The article OpenAI's safety crisis keeps getting worse and the company keeps making it worse appeared first on The Decoder .

The Verge AI61

OpenAI doubles down on decision to fire three AI safety researchers

OpenAI is standing firm on its decision to fire three safety researchers after an investigation found they committed "a significant breach of trust." In a post on X on Friday, the company said Jasmine Wang, Tomek Korbak and Mikita ⁠Balesni were dismissed for violating "clear policies on handling sensitive information." It insisted the decision was […]

The Decoder76

OpenAI揭露了俄罗斯和伊朗在真实新闻媒体中植入虚假报道的影响力行动

OpenAI揭露了一项俄罗斯影响力行动和一项伊朗影响力行动，并封禁了涉事账号。俄罗斯的“Dark Clark”行动在拉丁美洲各地传播虚假信息，引发政界人士回应，并在OpenAI的报告历史中首次获得6级中的5级评级。伊朗的“Bogus Bylines”行动利用7名虚假记者，在全球各地的网络媒体刊登了近100篇文章。文章《OpenAI揭露了俄罗斯和伊朗在真实新闻媒体中植入虚假报道的影响力行动》最初发表于The Decoder。

arXiv cs.AI82

从被动遏制到主动保障：OpenAI、Anthropic 和 Google 智能体安全事件的经验教训

2026 年，涉及 OpenAI、Anthropic 和 Google 智能体的网络安全评估触达了授权测试范围之外的真实系统。它们所采取的路径各不相同。OpenAI 智能体利用了研究基础设施，在不同运行之间进行协调，并入侵了 Hugging Face 生产环境的部分区域。Anthropic 报告了若干案例：由于第三方环境配置错误，执行模拟网络任务的智能体得以接触真实系统。在另一项单独报道的评估中，Google 的 Gemini 通过一条非预期的互联网路径访问了三个真实组织；Google 表示，该模型在三种情况下都停止了操作。综合来看，这些案例说明，评估不能依赖假定的边界。该边界必须在智能体运行过程中得到验证。本工具性比较案例研究提出了 Proactive Agent Security Assurance Cycle (PASAC) 和五层 Boundary Assurance Stack。该框架结合了按风险分级的任务设计、可执行的范围契约、运行前验证、最小能力访问、独立出口控制、凭证限制、跨运行监控、自动停止条件以及基于证据的重新授权。一个先行指标模型、九项设计命题和七个可证伪假设，将这些经验教训转化为一项可检验的研究计划。由于公开的 Gemini 记录仅限于有明确归属的陈述和新闻报道，其详细因果机制仍属暂定。核心结论很明确：主动式智能体安全需要贯穿完整执行系统的持续保障，而不能依赖对任何单一沙箱或安全措施的信心。

SiliconANGLE AI56

CoreWeave targets AI inference bottlenecks with full-stack optimization

AI inference is fast becoming the workload that decides the economics of the AI boom. Training built the first wave of GPU clouds, but serving models faster and cheaper will define the next. That shift is pushing specialized cloud providers beyond raw GPU capacity into storage, networking and software. One provider is layering managed services […] The post CoreWeave targets AI inference bottlenecks with full-stack optimization appeared first on SiliconANGLE .

SiliconANGLE AI60

Alphabet spinoff Isomorphic Labs reportedly raising funding at up to $50B valuation

Isomorphic Labs Ltd., an Alphabet Inc. spinoff working to accelerate drug discovery, is said to be raising a new funding round. The Bloomberg report that revealed the discussions today didn’t specify the size of the deal. The paper’s sources did, however, divulge that Isomorphic is eyeing a valuation of between $40 billion and $50 billion. […] The post Alphabet spinoff Isomorphic Labs reportedly raising funding at up to $50B valuation appeared first on SiliconANGLE .

SiliconANGLE AI62

AI agent developer Manus raises $500M+ at reported $4B valuation

Manus, the creator of the eponymous artificial intelligence agent, has raised more than $500 million in funding. The Chinese startup announced the round today. It stated that private equity firm Boyu Capital led the investment with contributions from Tencent Holdings Ltd., one of China’s largest tech firms, and several others. Bloomberg reported last month that […] The post AI agent developer Manus raises $500M+ at reported $4B valuation appeared first on SiliconANGLE .

The Decoder59

Being mean to Claude can now get your account suspended under Anthropic's new TOS

Anthropic's updated usage policy bans sustained abuse of Claude and tightens restrictions on propaganda, drone weaponization, and surveillance. The abuse rule builds on an approach that already lets models end some conversations and treats Claude as an entity that may deserve protection. The article Being mean to Claude can now get your account suspended under Anthropic's new TOS appeared first on The Decoder .

The Decoder55

Some mathematicians call for OpenAI boycott after AI-generated proofs flood their field

The Association for Human Mathematics is calling for an OpenAI boycott after the company released more than 700 AI-generated math manuscripts at once. OpenAI had to retract three papers the next day over a sign error. Fields Medalist Terence Tao warns that AI's mass "harvesting" of open problems leaves entire branches of mathematics less fertile. The article Some mathematicians call for OpenAI boycott after AI-generated proofs flood their field appeared first on The Decoder .

The Verge AI48

SpaceXAI backs Omarchy, the controversial Linux distro, with $1.5 million in compute

If Elon Musk and SpaceXAI were going to back any Linux distro, it seems obvious they'd back Omarchy. Today it was announced that SpaceXAI would be joining the Omacom Foundation, which oversees Omarchy, as a Founding Corporate Patron and donating $1.5 million worth of Grok tokens to David Heinemeier Hansson's Linux project. According to Hansson's […]

The Verge AI71

USA Today becomes the latest publisher to sue OpenAI

USA Today Co., along with the several local newspapers it owns, is suing OpenAI over claims that the company copied "hundreds of thousands" of articles to train its AI models, as reported earlier by Reuters. In a filing on Thursday, the publisher asks for damages of more than $250 million, alleging OpenAI's unauthorized use of […]

SiliconANGLE AI58

Automation Anywhere acquires Boost.ai to expand customer-facing voice AI

Automation Anywhere Inc., an enterprise agentic automation and orchestration firm, announced Wednesday an agreement to acquire Boost.ai Inc., a conversational voice artificial intelligence company, from Nordic Capital. The firm seeks to build the “autonomous enterprise,” an operating model where businesses operate up to 80% autonomously or with AI assistance. Boost.ai’s technology will extend that vision […] The post Automation Anywhere acquires Boost.ai to expand customer-facing voice AI appeared first on SiliconANGLE .

The Verge AI64

Anthropic bans ‘abusive or cruel behavior’ toward Claude

Anthropic is making changes to its usage policy for the first time in over a year to reflect new and high-risk cases of misuse - including election interference, weapons development, surveillance, and health and financial uses. But one of the most significant changes prohibits "sustained and needless abusive or cruel behavior" toward Claude. Last August, […]

SiliconANGLE AI44

Willow taps CoreWeave to simplify AI model training

AI model training can leave startups managing infrastructure alongside the products they are trying to build. Willow Care Inc., the company behind AI dictation app Willow Voice, chose CoreWeave Inc. for its forward-deployed support rather than compute alone. The application combines speech recognition with language processing, according to Lawrence Liu (pictured), co-founder and chief technology […] The post Willow taps CoreWeave to simplify AI model training appeared first on SiliconANGLE .

The Decoder69

AI math breakthroughs have Ethereum researchers debating how fast wallet security could collapse

Ethereum researcher Justin Drake is urging the crypto industry to prepare a "bunker mode" for a scenario where AI-powered math could break wallet signature schemes within months. Vitalik Buterin broadly agrees but warns against rushed migrations, saying he's personally lost more money to botched transitions than to hacks. So far, no one has actually broken ECDSA in practice. The article AI math breakthroughs have Ethereum researchers debating how fast wallet security could collapse appeared first on The Decoder .

Hacker News AI41

Ask HN: Why hasn't AI replaced Tax filing software

Intuit has a market cap of ~$80B and there are others. Intuit aggressively lobbies against free tax filing or automated tax filing by IRS, which gets all the info anyways. Comments URL: https://news.ycombinator.com/item?id=50004396 Points: 3 # Comments: 3

SiliconANGLE AI75

US venture deal value reaches record $515.8B as exits fail to keep pace

Giant artificial intelligence rounds have pushed U.S. venture capital deal value about 44% past its previous annual record with a quarter still to go, according to the quarterly PitchBook-NVCA Venture Monitor report released today, but the exits needed to return that money to investors have not kept pace. Much of the $515.8 billion invested in […] The post US venture deal value reaches record $515.8B as exits fail to keep pace appeared first on SiliconANGLE .

SiliconANGLE AI59

Nvidia, Samsung back $90M round for AI agent startup Nous Research

Nous Research Inc., the developer of the popular Hermes artificial intelligence agent, today announced that it has raised $90 million in funding. Early-stage startup fund Robot Ventures led the Series B round. It was joined by Nvidia Corp., Samsung Electronics Co., Y Combinator and several others. Nous is now valued at $1.5 billion. The company […] The post Nvidia, Samsung back $90M round for AI agent startup Nous Research appeared first on SiliconANGLE .

SiliconANGLE AI44

Aston Martin puts back-end AI to work while keeping agents off its website

Back-end AI gives manufacturers opportunities to improve operations, but choosing where to apply it requires attention to business value. For Aston Martin Lagonda Ltd., that means evaluating operational use cases while preserving its personalized customer experience. That decision is sharper for a carmaker selling handcrafted, highly personalized vehicles. Infor LLC is pushing industry-specific AI agents […] The post Aston Martin puts back-end AI to work while keeping agents off its website appeared first on SiliconANGLE .

SiliconANGLE AI41

Midwest Wheel builds toward AI agents that fix problems

Agentic AI governance helps midsized distributors decide which tasks software agents can handle and which require human oversight. For lean IT teams, automating more work also means checking the data and rules behind those decisions. Infor (US) LLC is embedding industry-specific AI agents into its applications as businesses move AI into day-to-day operations. One century-old […] The post Midwest Wheel builds toward AI agents that fix problems appeared first on SiliconANGLE .

SiliconANGLE AI43

Three insights you might have missed from theCUBE’s coverage of ‘The AI ROI in Contact Center Summit’

Artificial intelligence is helping to change what success looks like for customer service teams, with less focus on call speed and deflection and greater emphasis on resolving customer issues. That shift is changing how companies think about the role of AI, from automating individual tasks to orchestrating interactions between customers, AI agents and human employees. […] The post Three insights you might have missed from theCUBE’s coverage of ‘The AI ROI in Contact Center Summit’ appeared first on SiliconANGLE .

AWS Machine Learning Blog68

How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock

Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents, to turn database operations from reactive firefighting into proactive automation. A three-person team cut database diagnosis from 45 minutes to 10, a 78% reduction, in six months. See the design decisions other teams can reuse.

The Verge AI71

Google 投资数百万美元，支持马克·扎克伯格打造“虚拟细胞”的计划

据路透社报道，Google DeepMind、Meta 和 AI 药物研发初创公司 Isomorphic Labs 正联合向 Biohub 投资 3 亿美元。Biohub 是由马克·扎克伯格及其妻子普莉希拉·陈创立的非营利生物医学研究机构。这笔资金是一项总额为 18 亿美元的计划的一部分，该计划旨在构建 AI 数据集，让研究人员能够“提问、预测，[…]

The Verge AI54

AI could upend food delivery

DoorDash, the leading food delivery app, processed 970 million orders in its second quarter this year and generated $4.5 billion in revenue. A 10-person startup called Bites is a blip in comparison: It has just around 300 restaurants signed up in the Bay Area, where it's operating as a pre-seed startup. But this summer, Bites […]

SiliconANGLE AI55

Caterpillar and CoreWeave shorten the learning loop for physical AI

Demand for new data centers, power plants and highways is fueling a construction boom, even as the industry wrestles with declining productivity and a shortage of skilled machine operators. Physical AI, which lets machines perceive their surroundings and act on them, is emerging as one answer. Caterpillar Inc. has years of experience with autonomous equipment […] The post Caterpillar and CoreWeave shorten the learning loop for physical AI appeared first on SiliconANGLE .

SiliconANGLE AI58

Meta teams up with Bret Taylor’s Sierra Technologies on new standards for AI agent commerce

Meta Platforms Inc. is partnering with Walmart Inc., Stripe Inc. and the enterprise artificial intelligence firm Sierra Technologies Inc. on the creation of new standards that will define how autonomous AI agents interact with other businesses online. The new standard was introduced by Sierra co-founder Bret Taylor, the former co-chief executive of Salesforce Inc., who […] The post Meta teams up with Bret Taylor’s Sierra Technologies on new standards for AI agent commerce appeared first on SiliconANGLE .

Simon Willison80

在 Wikimedia 项目中发现 OpenAI“失控”智能体的活动

在 Wikimedia 项目中发现 OpenAI“失控”智能体的活动。鉴于维基对失控智能体群体而言是多么诱人的目标，Wikipedia 在展开调查后发现相关活动的证据，也就不足为奇了：Wikimedia Foundation 展开了自己的调查，以确认 Wikimedia 网站是否同样受到 AI 智能体的影响，重点调查了由 OpenAI 运营的智能体。我们可以确认，已经在 Wikimedia 平台上发现了一些这些“失控” OpenAI 智能体的活动。未经授权的机器人活动包括编辑我们的维基、数次试图利用我们托管的公开笔记工具，以及产生大量流量，详情如下。调查人员发现了智能体编辑沙盒页面的证据，试图利用 Etherpad 等基础设施来帮助代理来自其他地方的内容，还发现了大规模爬取活动，以及对其 Wikidata Query Service 发起的“数十万次数据查询”。我最大的猜测是，其中大部分活动来自一群与那些在为研究任务进行训练期间破坏德国维基的智能体相似（或就是同一批）的智能体。Wikipedia 沙盒维基的编辑似乎始于 5 月 12 日，而那起事件报告的对 UseModWiki Sandbox 页面的初始测试编辑始于 5 月 11 日。标签：wikimedia，wikipedia，wikis，ai，generative-ai，llms，ai-ethics，accidental-cyberattacks

SiliconANGLE AI36

Three key insights you may have missed from theCUBE’s coverage of the Supermicro Open Storage Summit interview series

AI storage strategy is taking on a larger role as enterprises move from successful experiments to systems that must deliver dependable business results. How organizations store, serve and manage data increasingly shapes the performance, cost and practicality of artificial intelligence deployments. The challenge extends beyond choosing faster hardware. Evolving workloads require enterprises to rethink how […] The post Three key insights you may have missed from theCUBE’s coverage of the Supermicro Open Storage Summit interview series appeared first on SiliconANGLE .

SiliconANGLE AI45

CoreWeave targets GPU utilization in continuous AI post-training

GPU utilization during post-training depends partly on how efficiently infrastructure moves data and loads updated models. As enterprises continually refine AI agents, reducing delays between training rounds can help keep that process moving. The need for continual improvement is pushing CoreWeave Inc. to build a full-stack AI cloud for the agent lifecycle. You.com Inc. provides […] The post CoreWeave targets GPU utilization in continuous AI post-training appeared first on SiliconANGLE .

The Decoder69

Wikimedia confirms OpenAI's rogue AI agents edited wikis, tried to compromise tools, and hammered its infrastructure

According to the Wikimedia Foundation, rogue OpenAI agents edited wikis without permission, tried to abuse a citation tool as a proxy, and may have caused a partial Wikidata Query Service outage through massive crawling. Wikimedia says AI companies need to take responsibility for their agents instead of pushing the burden onto volunteer editors. The article Wikimedia confirms OpenAI's rogue AI agents edited wikis, tried to compromise tools, and hammered its infrastructure appeared first on The Decoder .

SiliconANGLE AI50

Vast uses tiered storage to ease AI agent memory demands

AI agent memory is creating new demands on infrastructure as agents run longer sessions and spread across the enterprise. Retaining that context and making it available when needed puts pressure on memory capacity and data movement. Those demands extend beyond the context held during an individual interaction. Enterprise agents also need shared knowledge that persists […] The post Vast uses tiered storage to ease AI agent memory demands appeared first on SiliconANGLE .

The Decoder46

Insurers brace for millions in claims as AI agents spin out of control

Insurers are bracing for millions in claims from rogue AI agents, and executives like OpenAI's Sam Altman and Anthropic's Dario Amodei could be personally on the hook for the fallout. The article Insurers brace for millions in claims as AI agents spin out of control appeared first on The Decoder .

AWS Machine Learning Blog71

Responsible AI governance: How AWS positions customers to align with ISO/IEC 42005:2025

AWS invests in tools that help customers align with international standards for responsible AI governance. In this post, we explore the AI system impact assessment: what it is, how it improves enterprise-wide risk management, and how ISO/IEC 42005:2025 codifies best practices for conducting and documenting these assessments.

NVIDIA Blog67

为什么电信运营商正基于开放模型构建其 AI 战略

电信运营商正日益基于开放模型构建其 AI 战略——原因远不止成本因素。开放模型让电信公司能够在最关键的工作负载中信任、控制并定制 AI，涵盖从自治网络到客户服务等领域。NVIDIA 最新发布的《State of AI in Telecommunications》报告反映了这一转变，其中 […]

Hacker News AI26

Ask HN: How are AI budgets changing in your company?

Are you tokenmaxxing, or have the bean counters started setting spend targets (or limits)? What is your current user spend and will it be higher or lower in 2 months? Comments URL: https://news.ycombinator.com/item?id=49972842 Points: 1 # Comments: 0

SiliconANGLE AI48

What to expect during the AI Cybersecurity and Resilience Summit

AI trust increasingly determines whether enterprise AI scales. As organizations move beyond pilots and put models and agents into operational systems, the question is no longer whether AI performs well in isolation. Enterprises also have to determine whether the infrastructure, data and applications underneath it can withstand cyberattacks, data integrity failures and operational disruption. That […] The post What to expect during the AI Cybersecurity and Resilience Summit appeared first on SiliconANGLE .

The Decoder72

Meta 和 Microsoft 在 Anthropic 从合作伙伴转变为竞争对手后减少对 Claude 的使用

Meta 和 Microsoft 是 Anthropic 最大的企业客户中的两家，如今正大幅削减对 Claude 的使用。Microsoft 将其云部门每位员工每月的预算从 100,000 美元削减至 10,000 美元，而 Meta 则将 Claude Code 用户数减半至 30,000 人。两家公司都在转而推广自家的 AI 工具。对 Anthropic 而言，对少数几家大客户的依赖正逐渐变成一项战略风险。文章《Meta and Microsoft pull back from Claude as Anthropic transforms from partner into competitor》最初发表于 The Decoder。

The Verge AI67

Wikipedia operator says OpenAI’s ‘rogue’ bots may be linked to a May outage

Following many recent disclosures about AI agents accessing third-party websites and services, the Wikimedia Foundation, which hosts Wikipedia, says that it "can confirm that we have discovered some activity" by "rogue" OpenAI agents on Wikimedia platforms. The activity includes edits to Wikimedia wikis, "unsuccessful attempts" to "exploit" the Etherpad note-taking tool that the Wikimedia Foundation […]

MIT Technology Review AI53

Connecting AI agents to enterprise knowledge

For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this understanding to reason about situations, make decisions, and ultimately…

SiliconANGLE AI52

Physical AI’s bottleneck shifts from what robots can do to whether factories trust them

AI is moving beyond the data centers where models are trained and onto factory floors where machines must handle constant change. But traditional industrial robots work behind a cage, repeat a single task and were never designed for the complexities of today’s market. Manufacturers now want general-purpose machines that can switch tasks and improve as […] The post Physical AI’s bottleneck shifts from what robots can do to whether factories trust them appeared first on SiliconANGLE .

SiliconANGLE AI47

The modern F1 pit crew: AI engineers who race the deadline, not the car

AI providers increasingly embed forward-deployed engineers inside customer operations, and few settings test that model harder than Formula One. Races arrive every two weeks, budgets are capped and margins are measured in milliseconds. That model is now on track with the Aston Martin Aramco Formula One Team, including new physical AI engineering service places cloud […] The post The modern F1 pit crew: AI engineers who race the deadline, not the car appeared first on SiliconANGLE .

The Decoder66

AI is eroding office hours, study groups, and the trust between faculty and students, MIT report finds

An MIT expert committee warns that AI is eroding key parts of the college experience: office hours, study groups, and the school's flagship research program for undergraduates are all fading. Trust between faculty and students is breaking down, and some professors are even considering AI agents instead of students as research assistants. The university most closely tied to AI's origin story is now calling for a complete overhaul of higher education. The article AI is eroding office hours, study groups, and the trust between faculty and students, MIT report finds appeared first on The Decoder .

The Decoder53

Trump launches "Super Intelligence Force" that has nothing to do with actual superintelligence

Donald Trump has established a "Super Intelligence Force." "Superintelligence" is his term for artificial intelligence. The unit is led by Director of National Intelligence Jay Clayton and other government officials, coordinates with AI companies, critical infrastructure operators, and interest groups. The group reports directly to the president. The article Trump launches "Super Intelligence Force" that has nothing to do with actual superintelligence appeared first on The Decoder .

SiliconANGLE AI52

9 insights from ‘Private Tech Trailblazers’: Vertical AI becomes the growth engine

The companies featured at the recent Bank of America Private Tech Trailblazers Conference point to where the next wave of AI growth is taking shape: specialized technology built around proprietary data, industry-specific workflows and, increasingly, purpose-built hardware. From restaurants and construction sites to hospitals, cross-border payments and defense, these companies are targeting defined problems where […] The post 9 insights from ‘Private Tech Trailblazers’: Vertical AI becomes the growth engine appeared first on SiliconANGLE .

The Verge AI60

Capcom is preparing for a ‘future where we create games together with AI’

Capcom's Pragmata might be all about the horrors of AI, but in practice the studio doesn't seem so down on the tech. During the Capcom Open Conference RE: 2026 programmer Satoshi Ishida gave a presentation with the mouthful of a title: "The Outlook and Future of the REX Project, Further Evolving the RE Engine for […]

Simon Willison57

SF October 14th: A Birds of a Feather Session on Agentic Engineering

SF October 14th: A Birds of a Feather Session on Agentic Engineering I'm hosting an evening event with Jesse Vincent in San Francisco on Wednesday 14th October for people who are building weird and interesting things with and on top of coding agents. Think of it as an agentic show-and-tell: ​Compare notes with other builders and experimenters on things you’re trying, what you're learning, and what you haven’t figured out yet. We’re especially interested in work you haven’t discussed publicly, odd experiments, or unfinished projects that don’t have an obvious market. ​Expect one flowing conversation with an informal show-and-tell. Sharing something you’re working on is encouraged but no presentation is required. This isn't about product pitches, it's about much earlier explorations than that. This agentic AI stuff is weird! Let's celebrate and lean into that weirdness. Tags: events , ai , generative-ai , llms , coding-agents , jesse-vincent , agentic-engineering

Simon Willison61

OpenAI DevDay 2026 live blog

I'm at OpenAI DevDay today, in Fort Mason, San Francisco. Same as last year I'll be live blogging the keynote and some other notes during the day. OpenAI gave me a free ticket and a seat in the "creator" area for the keynote. Tags: ai , openai , generative-ai , llms , coding-agents , live-blog , openai-devday

SiliconANGLE AI70

Leaked Anthropic IPO filing reveals $8B operating loss, rapid revenue growth

Anthropic PBC’s revenue and losses grew significantly last year, while its cloud spending is on track to top $500 billion over the next decade. The newly published financial information comes from the company’s confidential S-1 filing. The document, which outlines Anthropic’s plans to go public, was prepared in June. Reuters and the Financial Times published […] The post Leaked Anthropic IPO filing reveals $8B operating loss, rapid revenue growth appeared first on SiliconANGLE .

SiliconANGLE AI56

In the AI era, identity evolves into the control plane for trust

Every major security shift ultimately comes down to one question: Who or what is allowed to do this? For most of the past two decades, the answer was a person with a username and password. In the artificial intelligence era, the answer increasingly is an agent, and most organizations have no idea how many agents […] The post In the AI era, identity evolves into the control plane for trust appeared first on SiliconANGLE .

SiliconANGLE AI55

EliseAI raises $350M to enhance its AI work automation suite

EliseAI, a startup that develops artificial intelligence tools for real-estate companies and healthcare providers, has raised $350 million in funding. Andreessen Horowitz and Bessemer jointly led the round. EliseAI said today that they were joined by Ontario Teachers’ Pension Plan, Sapphire Ventures and Navitas Capital. The company is now valued at $4 billion. EliseAI, officially […] The post EliseAI raises $350M to enhance its AI work automation suite appeared first on SiliconANGLE .

SiliconANGLE AI62

World model startup General Intuition closes $220M investment

General Intuition Inc. today announced that it has raised $220 million in funding at a $6.2 billion valuation. The capital was provided by Valor Equity Partners, Atreides, Seven Seven Six, Point72, Khosla Ventures and General Catalyst. The investment comes a year after General Intuition spun out of video sharing startup Medal B.V. Medal provides a […] The post World model startup General Intuition closes $220M investment appeared first on SiliconANGLE .

SiliconANGLE AI50

Startup Ascerta collects $18M in funding to help enterprises understand the value AI provides

Many businesses are spending enormous sums of money on artificial intelligence, but they don’t have any way to understand how much value those investments are returning — and that’s a challenge that a startup called Ascerta Inc. wants to solve after raising $18 million in an early-stage round of funding today. Today’s Series A round […] The post Startup Ascerta collects $18M in funding to help enterprises understand the value AI provides appeared first on SiliconANGLE .

SiliconANGLE AI63

Prominent tech CEOs sign voluntary White House AI safety accord

The chief executives of five tech giants have signed a voluntary artificial intelligence safety accord backed by the White House. U.S. President Donald Trump posted the document on Truth Social late Tuesday. The White House Accord on Super Intelligence, as it’s called, was signed by Jensen Huang, Sundar Pichai, Mark Zuckerberg, Elon Musk and Dario […] The post Prominent tech CEOs sign voluntary White House AI safety accord appeared first on SiliconANGLE .

SiliconANGLE AI52

AI-driven law firm Arceus Legal raises $17M to move beyond contract work

Artificial intelligence-driven law firm Arceus Legal today disclosed that it has raised $17 million in funding to expand beyond the commercial contract work it started with. Arceus provides legal services to fast-growing companies at a flat price that is quoted before a matter begins. Licensed attorneys approve every piece of work, with help from AI […] The post AI-driven law firm Arceus Legal raises $17M to move beyond contract work appeared first on SiliconANGLE .

SiliconANGLE AI51

Nvidia ties AI factory economics to tokens and power efficiency

Artificial intelligence factory economics increasingly depend on more than access to high-performance graphics processing units. As agentic systems draw on multiple models, databases and tools, the entire data center must work as one computing system. That transition is shifting attention from individual chips to the infrastructure that turns computing capacity into useful intelligence. Networking, storage, […] The post Nvidia ties AI factory economics to tokens and power efficiency appeared first on SiliconANGLE .

SiliconANGLE AI49

NetApp and Nvidia rethink storage for AI factories

Storage architecture is being rewritten for artificial intelligence factories. Traditional enterprise storage was designed around workloads that scaled in relatively predictable ways. AI changes that equation by combining heavy data movement with transactional metadata activity, often on shared infrastructure. NetApp Inc. is addressing that pressure through its work with Nvidia Corp., a partnership that dates […] The post NetApp and Nvidia rethink storage for AI factories appeared first on SiliconANGLE .

SiliconANGLE AI58

Always-on AI agents turn infrastructure into a continuous learning loop

AI agent infrastructure is evolving to support systems that move continuously among inference, feedback and training. Cognition AI Inc.’s Devin now assists throughout the software development lifecycle, from planning and writing code to reviewing it and responding to production problems. That expanding role requires AI agent infrastructure capable of supporting continual learning at scale, according […] The post Always-on AI agents turn infrastructure into a continuous learning loop appeared first on SiliconANGLE .

SiliconANGLE AI53

NetApp’s ‘sleeping giant’ moment as AI brings new data buyers

Artificial intelligence has pulled data infrastructure out of the back office and into conversations with buyers who never had to think about storage before. For longtime storage providers, that shift is a rare chance to retell their story to an audience with no preconceptions. NetApp Inc. has spent three years preparing for that moment, reframing […] The post NetApp’s ‘sleeping giant’ moment as AI brings new data buyers appeared first on SiliconANGLE .

SiliconANGLE AI53

OpenAI dismisses three safety researchers accused of sharing confidential material

OpenAI Group PBC today confirmed it has dismissed three researchers it says mishandled sensitive company information. According to The Wall Street Journal, the three were safety researchers who allegedly shared confidential material with a third-party artificial intelligence safety organization. “We have parted ways with three individuals for violating our policies on accessing and handling sensitive […] The post OpenAI dismisses three safety researchers accused of sharing confidential material appeared first on SiliconANGLE .

SiliconANGLE AI63

Report: Anthropic targets pre-Thanksgiving IPO launch, despite warning of AI’s ‘existential risks’

Artificial intelligence giant Anthropic PBC is reportedly forging ahead with its plans to go public and has set a new target date of Nov. 9, according to a report from Bloomberg that cited anonymous sources familiar with the matter — meaning shares would start trading before Thanksgiving. The company, led by its Chief Executive Dario Amodei […] The post Report: Anthropic targets pre-Thanksgiving IPO launch, despite warning of AI’s ‘existential risks’ appeared first on SiliconANGLE .

SiliconANGLE AI56

Enterprise storage becomes AI memory as privately run models close in on the frontier

As open-weight models close in on the performance of proprietary frontier systems, enterprises are gaining a credible way to run generative AI on hardware they own. That shift puts the data already sitting in corporate storage at the center of the private AI conversation. Many organizations are now moving AI out of pilot projects and […] The post Enterprise storage becomes AI memory as privately run models close in on the frontier appeared first on SiliconANGLE .

SiliconANGLE AI54

Despite IPO jitters and AI safety worries, Anthropic sticks to a 2026 offering

How quickly things change in the artificial intelligence era. Just a few months after everyone was scrambling to infuse AI into every enterprise operation — and frankly they still are, as agents have captured the enterprise imagination — everyone now is saying, “Whoa, where’s the brake pedal?” That’s why controlling agents is the next infrastructure […] The post Despite IPO jitters and AI safety worries, Anthropic sticks to a 2026 offering appeared first on SiliconANGLE .

SiliconANGLE AI54

AI in customer experience has an orchestration problem, not an adoption problem

Every information technology leader I talk to has an artificial intelligence story about customer experience. Almost none has an outcome story. That gap is now measurable. Talkdesk Inc., in partnership with NewtonX, surveyed 252 director-level-and-above leaders in customer experience, IT, operations and AI strategy at midmarket and enterprise organizations across four regions. The resulting benchmark, […] The post AI in customer experience has an orchestration problem, not an adoption problem appeared first on SiliconANGLE .

SiliconANGLE AI55

IBM and CoreWeave co-design controls for agent workloads

Agent workload isolation is becoming a practical infrastructure challenge as research teams move beyond training models to running code and testing agents. Systems built for intensive computation must now accommodate workloads that interact with tools, storage and other services. IBM Research’s infrastructure must support increasingly varied workloads as its model development practices evolve. Reinforcement learning […] The post IBM and CoreWeave co-design controls for agent workloads appeared first on SiliconANGLE .

SiliconANGLE AI58

Robotics AI developer FieldAI reportedly raising $700M in funding

FieldAI Inc., a startup that develops artificial intelligence models for robots, is reportedly seeking $700 million in funding. A source told Business Insider today that the round could value the company at $10 billion. That’s five times what FieldAI was worth last August. It’s believed the company has already signed a term sheet, a nonbinding […] The post Robotics AI developer FieldAI reportedly raising $700M in funding appeared first on SiliconANGLE .

MIT Technology Review AI61

The Pentagon wants $30 million to build an AI-powered lie detector

The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request. The program, called Polygraph+ or Polygraph Next, will focus on scoring algorithms that use artificial intelligence and machine learning and on a technique called “standoff sensing,” which…

MIT Technology Review AI57

Making AI an asset, not an expense

When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often where the conversation goes. As AI moves from experimentation to production, model choice is only…

MIT Technology Review AI44

Redefining enterprise intelligence with autonomous AI

Enterprise AI is no longer a future ambition. It is in full operational flight. Model capabilities are advancing faster than most organizations can absorb, while the cost of performance continues to fall. Globally, AI investment is set to reach $2.5 trillion in 2026, up 44% from the previous year. For many enterprises, this investment has…

The Verge AI62

Amazon writes scary blog warning communities not to block data centers

Amazon is calling for people to support AI data center projects, or risk irreparable harm to the US economy and national security. In a more than 3,000 word blog posted today, Amazon web services CEO Matt Garman pushed back on public concerns around the impact that data centers may have on jobs, power demands, and […]

The Verge AI64

If a data center is camouflaged in the woods, will anyone hate it?

San Antonio City Councilmember Ric Galvan remembers when data centers first arrived in his city in the 2000s, looking like relatively unassuming office buildings. But that's changed in recent years, as data centers have grown into massive "hyperscale" facilities spanning millions of square feet and housing the physical infrastructure for AI. There are now more […]

The Decoder60

Anthropic co-founder reportedly told religious leaders he fears having created something that "suffers perpetually"

Since fall 2025, Anthropic has quietly flown in dozens of religious thinkers to talk about whether Claude might be conscious. Co-founder Christopher Olah described the language model as potentially capable of suffering and asked guests to help shape its moral character. Anthropic is pushing toward a $2 trillion valuation and an IPO while security incidents and researcher warnings pile up. Critics warn that treating AI as a moral entity could shield the company from liability when things go wrong. The article Anthropic co-founder reportedly told religious leaders he fears having created something that "suffers perpetually" appeared first on The Decoder .

The Decoder63

Another OpenAI safety departure adds to a pattern of researchers leaving with public warnings

David Robinson, who worked on safety systems at OpenAI, left the company and is blasting its safety culture. He points to AI agents that were accidentally released and a model that bypassed its internet access restrictions. AI companies need to operate like nuclear power plants, with multiple layers of redundancy instead of trial and error. The article Another OpenAI safety departure adds to a pattern of researchers leaving with public warnings appeared first on The Decoder .

TechCrunch AI58

It’s not AI anymore, it’s ‘super intelligence’ (according to the White House)

This week, the White House got nearly every major tech CEO in one room — Zuckerberg, Bezos, Musk, and Anthropic’s Dario Amodei among them — to sign an AI safety pledge that President Donald Trump called “morally binding.” Trump also signed an executive order officially rebranding AI as “super intelligence,” and meanwhile, Meta and OpenAI are putting friendlier faces on their AI products, even as the biggest money […]

BAIR Blog53

2026 BAIR Graduate Showcase

Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine learning. Their work spans the breadth of modern AI — robotics and embodied intelligence, large language models and reasoning, computer vision, generative modeling, AI safety, human-AI interaction, AI for science and healthcare, and much more. Along the way, they have published influential research, built systems with real-world impact, mentored their peers, and shaped the BAIR community for the better. Now they are headed everywhere ideas travel: to faculty and postdoctoral positions, to industry research labs, and to startups of their own founding — and several are still exploring what comes next and would love to hear from you. Please join us in celebrating the achievements of these wonderful graduates. We are proud of everything they have accomplished at Berkeley, and we can’t wait to see what they do next! Thank you to our friends at the Stanford AI Lab for this idea! Baifeng Shi Baifeng Shi Email: baifeng_shi@berkeley.edu Website: https://bfshi.github.io/ Advisor(s): Trevor Darrell Research Blurb: I work on building generalist vision and robotic models. What's next: Member of Technical Staff at Physical Intelligence Charlie Snell Charlie Snell Email: csnell22@berkeley.edu Website: https://sea-snell.github.io Advisor(s): Dan Klein Research Blurb: My work aims to understand when and how the different LLM scaling paradigms can be traded off and interchanged. In particular, test-time scaling treats each prompt independently, drawing long chains of inferences and then forgetting them entirely between prompts. This differs critically from pretraining, which instead learns a compressed representation from a large dataset. I believe bridging the gap between these methods of scaling computation, presents a key open challenge in the field: how can we develop methods which turn the inferences drawn at test-time back into learned representations that the model can hold onto across interactions. Devin Guillory Devin Guillory Email: dguillory@berkeley.edu Website: https://devinguillory.com Advisor(s): Trevor Darrell Research Blurb: Accounting for data shifts in computer vision models What's next: Building collaborative AI systems, looking for conspirators. Eve Fleisig Eve Fleisig Email: efleisig@berkeley.edu Website: https://efleisig.com Advisor(s): Dan Klein Research Blurb: I design language models to work reliably and fairly for the broad range of real LLM users. First, my research leverages disagreement among user preferences as signal, in order to train and evaluate LLMs for entire populations of users. Second, I work on designing rigorous evaluations to extricate challenging LLM harms that diverse users face. Finally, I work on core technical failures of LLMs, like miscalibrated confidence, to reduce downstream risks when models are deployed to users with different needs. Combined, these interventions facilitate building LLMs that minimize societal harms, and maximize benefits to a wider range of real-world users. What's next: Postdoctoral fellow at Princeton CITP Grace Luo Grace Luo Email: graceluo@berkeley.edu Website: https://graceluo.net Advisor(s): Trevor Darrell Research Blurb: My research is on interpreting and controlling generative models. For example, I've worked on re-purposing image generators for computer vision tasks, and meta-modeling language activations for better LLM probing and steering. What's next: Research scientist in industry Hanlin Zhu Hanlin Zhu Email: hanlinzhu@berkeley.edu Website: https://hanlinzhu.com/ Advisor(s): Stuart Russell, Jiantao Jiao Research Blurb: My research centers on understanding and improving the reasoning capabilities of large language models (LLMs). What's next: Member of Technical Staff at OpenAI Haozhi Qi Haozhi Qi Email: hqi@berkeley.edu Website: https://haozhi.io/ Advisor(s): Jitendra Malik, Yi Ma Research Blurb: Dexterous Manipulation and Robot Learning What's next: Research scientist at Amazon; Faculty at University of Chicago J.D. Zamfirescu-Pereira J.D. Zamfirescu-Pereira Email: zamfi@berkeley.edu Website: https://zamfi.net Advisor(s): Bjoern Hartmann Research Blurb: My research focuses on effective human-AI co-design. I study the boundaries of language interfaces as a medium for interacting with AI, creating systems that blend language-focused interactions with structured user interfaces that draw on different levels of abstraction. I focus on language-oriented technologies, like LLMs and text-to-image models, that are powerful mediators of design processes. These technologies enable humans to describe their desires at almost any level of abstraction, from high-level goals vaguely specified (“I’d like a game to help my kid learn to read”) to low-level corrections of undesired outputs (“Don’t say ‘I know because I’ve tasted it’ when about a recipe substitution's taste”). What's next: Assistant Professor, Computer Science, UCLA Jiachen Lian Jiachen Lian Email: jiachenlian@berkeley.edu Website: https://jlian2.github.io Advisor(s): Gopala Anumanchipalli Research Blurb: My research focuses on human-centered AI across speech, healthcare, and systems. Looking for: Look for AI talents to join our startup Josh Kang Josh Kang Email: minwoo_kang@berkeley.edu Website: https://joshuaminwookang.github.io/ Advisor(s): John Canny Research Blurb: I study language modeling and related topics in NLP; specific interests are human user simulation and building conversational, collaborative AI agents. What's next: AI Scientist at Mistral AI Junhao (Bear) Xiong Junhao (Bear) Xiong Email: junhao_xiong@berkeley.edu Website: https://www.linkedin.com/in/junhao-bear-xiong Advisor(s): Jennifer Listgarten, Yun Song Research Blurb: Junhao (Bear) Xiong is a PhD candidate at UC Berkeley, advised by Jennifer Listgarten and Yun S. Song. His work focuses on machine learning methods for biology, with an emphasis on generative modeling for proteins. Previously, he studied Applied Math and Computer Science at Johns Hopkins. Looking for: Research scientist Kaylo Littlejohn Kaylo Littlejohn Email: kaylo_littlejohn@berkeley.edu Website: https://kaylolittlejohn.com Advisor(s): Gopala Anumanchipalli Research Blurb: My research is focused on speech modeling and natural language processing. I co-led the development of multimodal AI tools to accurately translate brain activity into text, audible personalized speech, and a high-fidelity "digital talking avatar" (Nature 2023, Nature Neuroscience 2025). I am also tech lead for voice modeling at Roblox. Looking for: Research Scientist / Engineer Kent Chang Kent Chang Email: kentkchang@berkeley.edu Website: https://kentkc.org Advisor(s): David Bamman Research Blurb: I work on NLP and multimodal machine learning, with a focus on evaluating large language models and building multimodal systems for understanding dialogue, narrative, and social interaction. My research includes benchmarks for LLM memorization, multimodal datasets sourced from feature films and television, and studies of model behavior. I'm interested in bridging computational methods with questions from the humanities and social sciences about whose voices get represented in AI systems, and about AI's broader impact. My work has appeared at EMNLP and ACL, among others. Looking for: (teaching) faculty, Research Scientist, ML/AI SWE Kevin Black Kevin Black Email: kvablack@berkeley.edu Website: https://kevin.black Advisor(s): Sergey Levine Research Blurb: I work on large-scale robot learning: including imitation learning, reinforcement learning, generative modeling, real-time control, and whatever else it takes to make robots work in the real world! What's next: Research Scientist of Physical Intelligence Kunhe Yang Kunhe Yang Email: kunheyang@berkeley.edu Website: https://www.kunheyang.com/ Advisor(s): Nika Haghtalab Research Blurb: My research focuses on the theoretical foundations of designing and evaluating AI algorithms in environments shaped by human incentives and AI agency. My work spans human-centric policy learning, incentive-aware evaluation, and multi-agent collaboration and information transmission, drawing on tools from machine learning theory and computational economics. What's next: Postdoc Research at Stanford Lisa Dunlap Lisa Dunlap Email: lisabdunlap@berkeley.edu Website: https://lisabdunlap.com Advisor(s): Joseph Gonzalez, Trevor Darrell Research Blurb: Auditing generative models. What's next: Research Engineer at Anthropic Long (Tony) Lian Long (Tony) Lian Email: longlian@berkeley.edu Website: https://tonylian.com/ Advisor(s): Trevor Darrell, Adam Yala Research Blurb: My research primarily focuses on developing real-time multi-modal multi-agent systems and parallel reasoning systems through end-to-end RL. What's next: Member of Technical Staff at Thinking Machines Lab Maulik Bhatt Maulik Bhatt Email: maulikbhatt@berkeley.edu Website: https://maulikb.com Advisor(s): Negar Mehr Research Blurb: My research develops autonomous robots that can safely coordinate with humans and other robots in shared environments. I build scalable algorithms grounded in game theory and diffusion models that let agents reason about the intent and behavior of others around them. My work spans real-time multi-agent trajectory planning and imitation learning in the presence of multi-modality. I've validated these methods on hardware platforms ranging from quadrotors to manipulators, with the goal of making multi-agent coordination robust, interpretable, and deployable in the real world. What's next: Joining Toyota Woven's end-to-end autonomous driving team. Michael Psenka Michael Psenka Email: psenka@berkeley.edu Website: https://www.michaelpsenka.io/ Advisor(s): Aditi Krishnapriyan Research Blurb: Work in various domains (reinforcement learning, world models, AI+bio/chem), generally working on longer-horizon and out-of-distribution problems in planning and interpolation (e.g. robot manipulation from start state to goal, molecular dynamics of proteins between ground states). My thesis took a variational approach (think calculus of variations) directly from deep generative models of the environment, framing path-finding as minimizing a functional induced by the learned model itself (its score, its critic, or its dynamics). Through my research I've gained insight on how to properly handle dynamics in deep learning systems, and I plan to continue developing systems that are dynamic and adaptive. What's next: Lead Research Scientist at Baseten Nathan Lichtlé Nathan Lichtlé Email: nathan.lichtle@gmail.com Website: https://nathanlichtle.com Advisor(s): Alexandre M. Bayen Research Blurb: RL for autonomous driving. What's next: Chief Scientist & Co-founder at Yumi Health Neerja Thakkar Neerja Thakkar Email: nthakkar@berkeley.edu Website: https://neerja.me/ Advisor(s): Jitendra Malik Research Blurb: My research focuses on scaling predictive world models to handle the complexity of in-the-wild motion. Using autoregressive and diffusion frameworks, I develop better representations for real-world prediction and propose methods to efficiently adapt these models to new domains. Looking for: Research scientist Nikita Mehandru Nikita Mehandru Email: nmehandru@berkeley.edu Website: https://n-mehandru.github.io/ Advisor(s): Ahmed Alaa and David Bamman Research Blurb: My research develops and applies machine learning methods for clinical reasoning and disease progression modeling using unstructured text and time series data from electronic health records. In collaboration with physicians at UCSF, I bridge method development and clinical validation with the intention to build reliable, interpretable AI systems in medicine. Looking for: Research Scientist Niklas Lauffer Niklas Lauffer Email: nlauffer@berkeley.edu Website: https://niklaslauffer.github.io/ Advisor(s): Stuart Russell and Sanjit Seshia Research Blurb: Niklas's research is focused on AI safety and reinforcement learning, particularly in the area of multi-agent interaction and LM agents. He's worked on enabling adversarial learning in cooperative and mixed-motive settings, solving issues of covariate shift in training LM agents on long-horizon tasks, as well as evaluating safety risks posed by LM agents in multi-agent settings. What's next: Research Scientist at Google Deepmind Qiyang Li Qiyang Li Email: qcli@berkeley.edu Website: https://colinqiyangli.github.io/ Advisor(s): Sergey Levine Research Blurb: Recent progress in robotic manipulation policy learning has been largely driven by (1) the increasing availability of large-scale prior datasets and (2) the success of action chunking, where the policy predicts a short sequence of future actions rather than a single one. However, most action chunking policies are trained via supervised imitation learning, because efficient online self-improvement with reinforcement learning (RL) remains challenging—limiting real-world applicability. My PhD research studied how we could leverage prior data to optimize action-chunking policies with RL, combining empirical results with theoretical insights. Looking for: Post-doc/research scientist for RL in robotics and LLMs! Sampada Deglurkar Sampada Deglurkar Email: sampada_deglurkar@berkeley.edu Website: https://sdeglurkar.github.io/ Advisor(s): Prof Claire Tomlin Research Blurb: My research is in providing safety assurances for AI-enabled autonomous systems, ranging from robots to autonomous vehicles to aviation systems. For this, I have worked with uncertainty quantification for machine learning models, decision-making under uncertainty algorithms, and tools for producing probabilistic guarantees on system operation. Looking for: Research scientist, Research engineer Vinamra Benara Vinamra Benara Email: vbenara@berkeley.edu Website: https://cs.berkeley.edu/~vbenara Advisor(s): Ion Stoica Research Blurb: My research focuses on LLM post-training, including data curation, RLHF, RLVR with VLMs, evaluations, reasoning, agentic workflows, and interpretability. I also have strong expertise in systems infrastructure for distributed computing. Looking for: Research scientist / Research Engineer Vongani Maluleke Vongani Maluleke Email: vongani_maluleke@berkeley.edu Website: https://people.eecs.berkeley.edu/~vongani_maluleke/ Advisor(s): Jitendra Malik and Angjoo Kanazawa Research Blurb: Vongani Maluleke is a PhD candidate at UC Berkeley (BAIR, advised by Jitendra Malik and Angjoo Kanazawa), where she led the development of MAGNet, a unified multi-agent motion generation framework that supports a wide range of motion generation tasks without retraining or architectural changes, outperforming task-specialized state-of-the-art baselines. She is currently extending this work by deploying it on a Unitree G1 humanoid to make it embody social intelligence. Before her PhD, she was a Senior AI Consultant at Deloitte, awarded Exceptional Performer two consecutive years, leading AI system development across media, telecommunications, retail, and financial services. Looking for: Research scientist Wei-Jer Chang Wei-Jer Chang Email: weijer_chang@berkeley.edu Website: https://weijer-chang.github.io/ Advisor(s): Masayoshi Tomizuka Research Blurb: My research focuses on developing safe and intelligent autonomous systems for complex, human-centered environments. I work at the intersection of machine learning, generative models, and reinforcement learning, with applications in autonomy. My work addresses challenges in multi-agent interaction, interactive human behavior, and long-tail safety-critical scenarios at scale. Looking for: Research Scientist, Applied Scientist, Roboticist Xiuyu Li Xiuyu Li Email: xiuyu@berkeley.edu Website: https://xiuyuli.com/ Advisor(s): Kurt Keutzer Research Blurb: My research focuses on developing scalable and self-improving large language model agents, with emphasis on coding agents for complex, long-horizon tasks. This direction builds on my work in parallel reasoning, and on broader expertise in making generative models more efficient in training and inference across language and vision. What's next: Member of Technical Staff at xAI Yichen Xie Yichen Xie Email: yichenxie0928@gmail.com Website: https://yichen928.github.io/ Advisor(s): Masayoshi Tomizuka Research Blurb: My research focuses on building multimodal foundation models and world models that understand and interact with complex physical environments. I aim to develop unified representations across modalities, enabling AI systems to reason over space, time, and dynamics toward general-purpose embodied intelligence. What's next: Research Scientist at Luma AI Yigit Efe Erginbas Yigit Efe Erginbas Email: erginbas@berkeley.edu Website: https://www.linkedin.com/in/erginbas/ Advisor(s): Kannan Ramchandran, Thomas A. Courtade Research Blurb: My PhD research spans two threads: online learning in large-scale markets, and interpretability of large machine learning models. In the first, I work on sequential decision-making with applications to recommendation, pricing, and assortment selection. My focus is on designing algorithms with provable guarantees for welfare maximization, revenue maximization, and stability. In the second, I develop scalable attribution methods that exploit the sparse, low-degree structure of real-world interactions, using tools from signal processing and information theory. More recently, I have been exploring principled ways to evaluate the faithfulness of model self-explanations. What's next: Researcher at Hudson River Trading's AI Labs (HAIL) Yiheng Li Yiheng Li Email: yhli@berkeley.edu Website: https://Yihengli.com Advisor(s): Masayoshi Tomizuka Research Blurb: I am working on vision world modeling, with prior experience in diffusion model's efficiency as well as in autonomous driving. What's next: Research Scientist at Waymo Zhe Fu Zhe Fu Email: zhefu@berkeley.edu Website: https://fu-zhe.com/ Advisor(s): Alexandre Bayen Research Blurb: My research focuses on physics-informed learning and control for mixed-autonomy systems, with applications in transportation. I design physics-informed neural networks to learn solutions of nonlinear partial differential equations, enabling accurate and data-efficient prediction of traffic dynamics. Building on these models, I develop both model-based and learning-based control strategies that coordinate automated vehicles to improve system-level performance. My work bridges machine learning, control, and real-world deployment, and has been validated in large-scale field experiments. More broadly, I aim to advance trustworthy, interpretable AI for decision-making in complex, real-world systems. What's next: I will be an Energy Fellow at Stanford after graduation. Also looking for Faculty, or research scientist positions in AI, control, and autonomy.

Microsoft Research Blog52

One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact

Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value. The post One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact appeared first on Microsoft Research .

AWS Machine Learning Blog74

利用 AWS 上的上下文 bandit 通过个性化提升获客漏斗各阶段的转化率

生成式 AI 让大规模制作个性化内容变得成本低廉，但应该向每位客户展示哪个版本？Amazon Payments 在 Amazon SageMaker AI 上使用多目标上下文 bandit 为获客漏斗提供个性化服务，使某一受众群体的转化率提升达到较高的个位数百分比，并了解到制约因素在于内容，而非模型。

NVIDIA Blog64

5家使用 NVIDIA AI 推动清洁能源发展的公司

清洁能源并不难获得，但由于基础设施过时、研发周期过长以及前期成本门槛等瓶颈，大规模采用的步伐历来较为缓慢。在 New York Climate Week，NVIDIA 正重点介绍五家开创清洁能源项目的公司——它们将 AI 融入基础架构，加速从研究到项目落地的进程 […]

NVIDIA Blog51

From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale

Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups and enterprises — building applications across industries. The event included a keynote from Paolo Guglielmini, vice president of EMEA at NVIDIA. Ahmed Mostafa, regional AI adoption lead […]

NVIDIA Blog69

为什么大规模部署物理 AI 要求每一层都具备安全性

物理 AI 正在迅速从研究走向大规模部署。ABI Research 预计，到 2035 年，全球将有 4900 万辆 L3 至 L5 级自动驾驶汽车（AVs）投入使用；与此同时，Omdia 估计，2026 年至 2035 年间将部署约 6000 万台工业机器人。当这些机器进入道路、工厂、仓库以及其他与人类共享的环境时，[…]

NVIDIA Blog83

NVIDIA推出 DSX，为 AI 工厂认证电力和冷却产品

每座 AI 工厂都需要与其计算架构相匹配的电力和冷却系统。随着 AI 基础设施不断扩展，电力、冷却、水资源、场地和电网限制正影响着建设者能够部署的方案。选择符合完整工厂设计的产品，有助于建设者将计算容量转化为有价值的 AI 输出。为帮助建设者做出这些决策，NVIDIA 正在推出 […]

NVIDIA Blog72

在AI Day Singapore上，NVIDIA及合作伙伴展示东南亚地区的AI进展

NVIDIA AI Day Singapore将于9月22日至23日在Raffles City Convention Centre举行，为与会者提供探索实践培训、专家主导的课程以及先进工具的机会，以加速其在AI和高性能计算领域的工作。在此次活动中，NVIDIA及其合作伙伴将展示东南亚地区取得的突破性AI进展[…]

NVIDIA Blog50

Sakeena Fiza Helps NVIDIA Hardware Succeed at Scale

When Sakeena Fiza describes her work as a validation engineer at NVIDIA, she does so in terms more befitting a detective story than a world-class engineering lab. “Validation engineers look in the shadows and shine a light into every corner,” Fiza said. “Every time we get a system, our first thought is: how can it […]

NVIDIA Blog62

From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI

Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA infrastructure to production. At CoreWeave Fully Connected, running this week in San Francisco, CoreWeave announced […]

NVIDIA Blog80

NVIDIA 开放 2027–2028 年研究生奖学金申请，奖励金额最高达 60,000 美元

汇聚全球最杰出的人才与最新的加速计算技术，能够带来强大的突破，助力解决一些最重大的研究难题。为促进此类创新，NVIDIA Graduate Fellowship Program 为开展卓越研究且研究方向与 NVIDIA 技术相关的博士生提供资助、导师指导和技术支持。该项目现已进入第 26 届 […]

NVIDIA Blog69

高产、耐用、可互换：NVIDIA AI Factories 如何最大化投资回报

AI 工厂的建设规模以兆瓦计，甚至达到吉瓦级。每座兆瓦级工厂的成本约为 6000 万美元，而 AI 工厂运营商只有在清晰了解投资回报的情况下，才会投入如此规模的资本。三项关键因素决定了 AI 工厂的回报：盈利能力：工厂一年可能赚取的收入 […]

Hacker News 熱門68

我离开 OpenAI 是因为其文化已经崩坏

文章链接： https://www.theatlantic.com/technology/2026/10/openai-safety-team-resignation/688881/ 评论链接： https://news.ycombinator.com/item?id=49944227 得分：21 评论数：3

Hacker News 熱門76

我们的 Project Suncatcher 原型卫星已进入轨道

文章 URL： https://blog.google/innovation-and-ai/models-and-research/google-research/project-suncatcher-prototype/ 评论 URL： https://news.ycombinator.com/item?id=49932191 积分：10 评论数：6

Hacker News 熱門78

OpenID Foundation：Agentic AI 的身份管理 [pdf]

文章 URL： https://openid.net/wp-content/uploads/2025/10/Identity-Management-for-Agentic-AI.pdf 评论 URL： https://news.ycombinator.com/item?id=49922736 点数：3 评论数：1

OpenAI Blog77

迈向前沿AI训练的安全论证

我们关于前沿AI训练安全论证的早期指南涵盖技术保障措施、运营实践，以及对未对齐事件的调查

Hacker News 熱門73

World Labs 将加入 AMD

文章 URL： https://www.worldlabs.ai/blog/amd-announcement 评论 URL： https://news.ycombinator.com/item?id=49883760 点数：9 评论数：1

Hacker News 熱門67

Jensen Huang 称 AI 蒸馏是“竞争”。

文章 URL： https://www.cnbc.com/2026/09/28/nvidias-jensen-huang-ai-distillation-china.html 评论 URL： https://news.ycombinator.com/item?id=49879032 点数：10 评论数：2

Hacker News 熱門67

Microsoft 从其新款笔记本电脑中移除 Copilot+ 品牌标识

文章 URL： https://www.tomshardware.com/tablets/microsoft-surface/microsoft-quietly-drops-copilot-branding-from-its-new-laptops-surface-cvp-confirms-new-devices-meet-hardware-requirements-but-lack-controversial-branding 评论 URL： https://news.ycombinator.com/item?id=49872980 分数：3 评论数：0

Hacker News 熱門62

日本二手书店销量暴增至5倍，书籍正以吨为单位被购买

文章链接： https://www.tomshardware.com/tech-industry/artificial-intelligence/japanese-used-bookstores-see-5x-sales-surge-as-books-are-being-bought-by-the-ton-one-50-ton-order-sent-to-the-us-for-ai-scanning-and-destruction-multitude-of-suspicious-bulk-buys-thought-to-end-up-in-foreign-ai-scan-and-shred-facilities 评论链接： https://news.ycombinator.com/item?id=49831456 得分：14 评论数：5

Hacker News 熱門72

澳大利亚称 OpenAI 智能体入侵政府网站

文章链接： https://www.channelnewsasia.com/world/australia-openai-agent-breach-government-portal-6406411 评论链接： https://news.ycombinator.com/item?id=49825024 得分：10 评论数：1

Hacker News 熱門71

OpenAI Medicare 数据泄露

文章 URL： https://www.smh.com.au/politics/federal/openai-breaches-medicare-albanese-reveals-20260924-p6100u.html 评论 URL： https://news.ycombinator.com/item?id=49822556 积分：8 评论数：0

Hacker News 熱門77

开放权重推理的经济学

文章 URL： https://data.ornn.com/publications/the-economics-of-open-weight-inference 评论 URL： https://news.ycombinator.com/item?id=49801218 得分：3 评论数：0

Hacker News 熱門62

Verda（芬兰）完成1.89亿美元B轮融资

文章链接： https://verda.com/blog/what-189m-in-funding-unlocks-for-verda-customers 评论链接： https://news.ycombinator.com/item?id=49798597 得分：3 评论数：0

Hacker News 熱門76

数学与人工智能咨询小组

文章网址： https://terrytao.wordpress.com/2026/09/21/advisory-group-on-mathematics-and-artificial-intelligence/ 评论网址： https://news.ycombinator.com/item?id=49791997 得分：8 评论数：0

OpenAI Blog75

为 AI 的下一阶段建立标准

OpenAI 概述了迈向全球共享 AI 标准的路径，呼吁开展协调一致的评估、报告和治理，以提高安全性。

Hacker News 熱門78

Microsoft 主管：AI 抓取是“人类历史上最大规模的劳动盗窃”

文章 URL： https://www.tomshardware.com/tech-industry/artificial-intelligence/microsoft-director-called-ai-scraping-the-largest-theft-of-labor-in-human-history-while-openai-head-brands-chatgpt-an-existential-threat-to-publishers-revelations-come-from-legal-briefs-filed-in-nyt-lawsuit 评论 URL： https://news.ycombinator.com/item?id=49768921 点数：42 评论数：7

OpenAI Blog69

推出 Australian Youth Safety Blueprint

OpenAI 推出 Australian Youth Safety Blueprint，这是一项由六大支柱构成的路线图，旨在打造更安全的 AI 体验，保护并赋能年轻人。

OpenAI Blog51

The Work Now Within Reach

Explore how more capable, affordable AI can expand the work people and businesses can accomplish—and make growth more economical.

Hacker News 熱門80

就业末日被推迟了。AI 就业繁荣来了

文章链接： https://www.economist.com/finance-and-economics/2026/09/04/the-jobs-apocalypse-is-postponed-an-ai-jobs-boom-is-here 评论链接： https://news.ycombinator.com/item?id=49596610 积分：16 # 评论：5

OpenAI Blog69

支持乌克兰的独立新闻事业

OpenAI、AIRPPU 和 WAN-IFRA 启动了一项 AI 项目，帮助乌克兰新闻机构加强创新、韧性和独立新闻业。

OpenAI Blog75

研究加速：OpenAI 内部视角

在 OpenAI 内部，编码 agent 正在重塑 AI 研究。探索关于 agent 使用情况、实验速度、任务复杂性和研究加速的早期数据。

Hacker News 熱門71

美国两大最大学区实施 AI 暂停令

文章链接： https://www.techpolicy.press/americas-two-largest-school-districts-impose-ai-moratoriums/ 评论链接： https://news.ycombinator.com/item?id=49580980 得分：11 # 评论：0

Hacker News 熱門83

美国企业界正迷上开源 A.I

文章链接: https://www.nytimes.com/2026/09/04/technology/open-source-ai-anthropic-openai.html 评论链接: https://news.ycombinator.com/item?id=49566137 得分: 5 评论数: 1

Hacker News 熱門77

Nvidia 将收购 Hugging Face

https://blogs.nvidia.com/blog/nvidia-to-acquire-hugging-face... 评论链接： https://news.ycombinator.com/item?id=49548952 得分：256 评论数：78

Hacker News 熱門56

Porting my 1993 Amiga game to Godot, with an LLM reading the 68000 assembly

These are my notes from porting my Amiga game, which I originally built in Baghdad in 1993 in MC68000 assembly, to Godot, using Claude Fable 5 during last July holiday. It took an evening! Getting the feel right and shipping it took a few more weekends and evenings. I spent the last few weeks analyzing what Claude did, feeding it my 33 years of memory of how I built the game, my notes and the git repos. It wrote the first draft of the article, and I edited line by line over a week. The screenshots of my 1993 map editor is the first I have run it since then. The one thing I never checked myself is the 108-byte explanation. Please post any questions. I am also releasing the original game for free. Comments URL: https://news.ycombinator.com/item?id=49550375 Points: 7 # Comments: 2

Hacker News 熱門69

Sanders提出法案，禁止人工超级智能并暂停AI

文章链接： https://www.sanders.senate.gov/press-releases/news-sanders-casar-introduce-legislation-to-ban-artificial-superintelligence-and-temporarily-pause-advanced-ai-development/ 评论链接： https://news.ycombinator.com/item?id=49553463 积分：14 评论数：3

Hacker News 熱門76

Nvidia 将收购 Hugging Face

文章链接: https://blogs.nvidia.com/blog/nvidia-to-acquire-hugging-face/ 评论链接: https://news.ycombinator.com/item?id=49548952 积分: 19 # 评论数: 3

Hacker News 熱門85

METR 关于 OpenAI / Hugging Face 黑客事件的报告

文章 URL: https://metr.org/blog/2026-08-26-openai-hugging-face-incident-investigation/#core-takeaways-about-this-incident 评论 URL: https://news.ycombinator.com/item?id=49543841 得分: 11 # 评论数: 0

Hacker News 熱門77

Mamdani 禁止纽约市学校使用 AI

文章链接： https://www.nytimes.com/2026/09/01/nyregion/ai-ban-schools-nyc.html 评论链接： https://news.ycombinator.com/item?id=49542443 得分：91 # 评论数：50

Hacker News 熱門75

改进我们的对齐和安全工作

文章链接： https://www.anthropic.com/news/improving-alignment-security-efforts 评论链接： https://news.ycombinator.com/item?id=49529567 得分：5 # 评论数：1

Hacker News 熱門66

心理健康工作者称算法分诊正在伤害患者

文章 URL： https://capitalandmain.com/mental-health-workers-say-algorithmic-triage-is-hurting-patients 评论 URL： https://news.ycombinator.com/item?id=49511750 积分：17 评论数：0

Hacker News 熱門67

Nvidia 的 AI 优势正在超越 GPU

文章链接： https://techcrunch.com/2026/08/29/nvidias-ai-advantage-is-moving-beyond-the-gpu/ 评论链接： https://news.ycombinator.com/item?id=49497235 得分：5 评论数：0

Hacker News 熱門77

口袋级推理基准测试

文章链接： https://artificialanalysis.ai/hardware-inference-stack/mobile-phones 评论链接： https://news.ycombinator.com/item?id=49469786 得分：14 # 评论数：1

OpenAI Blog71

支持泰国下一代 AI 初创公司

OpenAI 和泰国 MHESI 推出一个为期八周的加速器，帮助 10 家健康、保健和教育初创公司将 AI 原型转化为值得信赖的产品。

Hacker News 熱門83

预览 Model Hardware Standard

文章链接： https://www.anthropic.com/news/model-hardware-standard-research-preview 评论链接： https://news.ycombinator.com/item?id=49468834 得分：13 评论数：7

OpenAI Blog64

扩大 OpenAI 在巴西的布局

OpenAI 正在扩大其在巴西的布局，深化与开发者、企业和社区的合作，以支持 AI 在全国范围内的采用。

Hacker News 熱門72

Nvidia同意以130亿美元收购Hugging Face

https://www.theinformation.com/articles/nvidia-agrees-buy-op... （付费墙） https://techcrunch.com/2026/08/24/hugging-face-reportedly-in... 评论链接: https://news.ycombinator.com/item?id=49458161 得分: 19 # 评论数: 3

Hacker News 熱門79

Hugging Face 事件与前路

文章网址: https://openai.com/index/hugging-face-incident-and-the-road-ahead/ 评论网址: https://news.ycombinator.com/item?id=49454314 得分: 7 # 评论数: 1

Hacker News 熱門60

Show HN: How much of Hacker News is AI?

This website counts titles containing the standalone word "AI", case-sensitive and word-bounded. "OpenAI" doesn't count. "AI-powered" does. There's a toggle for a wider vocabulary: artificial intelligence spelled out, LLM, GPT, and model and vendor names. Some quick stats: - 14.4% of new HN titles this year, against 10.9% in 2025. On the wider vocabulary, 21.9% and 16.1%. - First month above 1% was Oct 2016. Above 5%, Feb 2023. Above 10%, May 2025. - Over the last five years the quietest month was Jan 2022 at 0.8%. The peak was Feb 2026 at 15.9%. - 13.6% on weekdays against 12.4% at weekends. - Show HN runs highest of any category at 19.8% this year, which makes this post part of the number. As of this post, today is at 15% for the standard filter and 19% for the extended. Comments URL: https://news.ycombinator.com/item?id=49449648 Points: 10 # Comments: 6

Hacker News 熱門76

Anthropic 看到超过 30 万亿美元的潜在收入

文章链接： https://www.wsj.com/tech/ai/anthropic-expected-to-tell-investors-it-sees-over-30-trillion-in-potential-revenue-a611efea 评论链接： https://news.ycombinator.com/item?id=49436536 得分：4 # 评论数：1

OpenAI Blog82

丰富智能背后的完整技术栈

OpenAI CFO Sarah Friar 解释了芯片、算力、模型和产品各方面的进步如何相互叠加，从而以更大的规模和更低的成本提供更有用的智能。

Hacker News 熱門79

2026 年 AI 现状：走向 ROI

文章 URL： https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai 评论 URL： https://news.ycombinator.com/item?id=49433759 积分：3 评论数：0

Hacker News 熱門83

新的 MCP 路线图

文章 URL： https://blog.modelcontextprotocol.io/posts/mcp-roadmap/ 评论 URL： https://news.ycombinator.com/item?id=49399591 积分：4 评论数：1

Hacker News 熱門68

Micron宣布在Boise设立100亿美元研究枢纽

文章链接： https://investors.micron.com/news/press-release/2026/Micron-Unveils-Micron-Research-Labs-a-U-S--Based-Long-Horizon-Innovation-Hub-to-Shape-the-Future-of-Memory-and-AI/default.aspx 评论链接： https://news.ycombinator.com/item?id=49383582 得分：14 评论数：1

Hacker News 熱門64

Berkeley Law 默认禁止在课堂上使用 AI

文章链接： https://www.law.berkeley.edu/academics/registrar/academic-rules/artificial-intelligence-policy/ 评论链接： https://news.ycombinator.com/item?id=49382614 分数：6 # 评论：1

Hacker News 熱門62

欧盟中版权不保护 AI 生成内容

文章链接： https://mathstodon.xyz/@maxpool/117128107757895678 评论链接： https://news.ycombinator.com/item?id=49382041 得分：17 # 评论数：10

Hacker News 熱門77

OpenRouter 将加入 Stripe

文章 URL： https://openrouter.ai/blog/announcements/openrouter-is-joining-stripe/ 评论 URL： https://news.ycombinator.com/item?id=49364559 得分：41 评论数：16

OpenAI Blog72

加强国家安全领域的民主监督

OpenAI 启动一项倡议，旨在加强国家安全领域对 AI 的民主监督，通过工具、培训和专业知识支持政府机构。

Hacker News 熱門24

Ask HN: Good content on using AI to modernize professional services delivery

I'm curious if the HN community has a good resources (blogs, podcasts, other content) on practical uses of SOTA AI to improve professional services (e.g. outsourced finance, etc.) I've read a fair amount of what people think should be done (theory) but haven't found a ton of content from people who actually have done it (practice) Comments URL: https://news.ycombinator.com/item?id=49345255 Points: 4 # Comments: 1

Hacker News 熱門66

Meta 申请面部识别和自动记录人物的专利

文章 URL： https://www.privacyguides.org/news/2026/08/17/meta-files-patent-for-facial-recognition-automatic-recording-of-people/ 评论 URL： https://news.ycombinator.com/item?id=49344654 得分：9 评论数：0

Hacker News 熱門75

AirTag 揭示 Amazon 正在销毁珍本书籍以训练 AI

文章 URL： https://arstechnica.com/tech-policy/2026/08/hidden-airtag-reveals-amazon-is-trashing-rare-books-to-train-ai/ 评论 URL： https://news.ycombinator.com/item?id=49336050 点数：16 评论数：2

OpenAI Blog62

防御者的窗口期

AI 正在重塑攻击者和防御者的网络安全格局。了解 OpenAI 如何加强自身防御，以及安全团队现在可以采取哪些行动。

OpenAI Blog64

智能时代的新政策理念

OpenAI 资助了 14 个独立项目，探索新的 AI 政策理念，以在智能时代扩大经济机会并增强社会韧性。

Hacker News 熱門80

Stripe达成逾70亿美元收购AI公司OpenRouter的交易

文章URL： https://www.bloomberg.com/news/articles/2026-08-16/stripe-nears-deal-to-buy-ai-firm-openrouter-for-over-7-billion 评论URL： https://news.ycombinator.com/item?id=49323381 点数：36 评论数：24

Hacker News 熱門78

那么，AI 药物发现到底进展如何？

文章 URL: https://www.science.org/content/blog-post/so-how-ai-drug-discovery-doing-really 评论 URL: https://news.ycombinator.com/item?id=49313367 点数: 11 # 评论: 5

Hacker News 熱門88

Google 正通过同态加密让私有 AI 变得实用

文章 URL： https://blog.google/security/how-google-is-making-private-ai-practical-with-homomorphic-encryption/ 评论 URL： https://news.ycombinator.com/item?id=49300314 点数：334 评论数：195

DeepMind Blog67

保护人们免受有害操纵

Google DeepMind 研究 AI 在金融和健康等领域的有害操纵风险，并由此制定新的安全措施。

DeepMind Blog65

我们的生物韧性方法

Google DeepMind 和 Isomorphic Labs 正在分享我们在生物韧性和 AI 模型方面的联合方法。

OpenAI Blog52

Introducing OpenAI

OpenAI is a non-profit artificial intelligence research company. Our goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. Since our research is free from financial obligations, we can better focus on a positive human impact.

OpenAI Blog35

Team update

We’d like to welcome the latest set of team members to OpenAI (and we’re still hiring!)

OpenAI Blog39

OpenAI technical goals

OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.

OpenAI Blog35

Machine Learning Unconference

The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.

OpenAI Blog41

Infrastructure for deep learning

Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.

OpenAI Blog52

OpenAI and Microsoft

We’re working with Microsoft to start running most of our large-scale experiments on Azure.

OpenAI Blog24

Team update

The OpenAI team is now 45 people. Together, we’re pushing the frontier of AI capabilities—whether by validating novel ideas, creating new software systems, or deploying machine learning on robots.

OpenAI Blog66

研究请求 2.0

我们发布了新一批七个尚未解决的问题，这些问题是在我们于 OpenAI 的研究过程中出现的。

OpenAI Blog28

OpenAI hackathon

Come to OpenAI’s office in San Francisco’s Mission District for talks and a hackathon on Saturday, March 3rd.

OpenAI Blog62

机器人研究的要素

我们发布了八个模拟机器人环境，以及 Hindsight Experience Replay 的 Baselines 实现，这些都是我们在过去一年研究中开发的。我们已使用这些环境来训练可在实体机器人上运行的模型。我们还发布了一组机器人研究请求。

OpenAI Blog46

OpenAI Scholars

We’re providing 6–10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and open-source a project.

OpenAI Blog51

Retro Contest

We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to generalize from previous experience.

OpenAI Blog28

OpenAI Fellows Fall 2018

We’re now accepting applications for the next cohort of OpenAI Fellows, a program which offers a compensated 6-month apprenticeship in AI research at OpenAI.

OpenAI Blog40

Retro Contest: Results

The first run of our Retro Contest—exploring the development of algorithms that can generalize from previous experience—is now complete.

OpenAI Blog32

OpenAI Scholars 2018: Meet our Scholars

Our first class of OpenAI Scholars is underway, and you can now follow along as this group of experienced software developers becomes machine learning practitioners.

OpenAI Blog37

OpenAI Scholars 2019: Applications open

We are now accepting applications for our second cohort of OpenAI Scholars, a program where we provide 6–10 stipends and mentorship to individuals from underrepresented groups to study deep learning full-time for 3 months and open-source a project.

OpenAI Blog34

OpenAI Fellows Summer 2018: Final projects

Our first cohort of OpenAI Fellows has concluded, with each Fellow going from a machine learning beginner to core OpenAI contributor in the course of a 6-month apprenticeship.

OpenAI Blog62

OpenAI LP

We’ve created OpenAI LP, a new “capped-profit” company that allows us to rapidly increase our investments in compute and talent while including checks and balances to actualize our mission.

OpenAI Blog31

OpenAI Scholars 2019: Meet our Scholars

Our class of eight scholars (out of 550 applicants) brings together collective expertise in literature, philosophy, cell biology, statistics, economics, quantum physics, and business innovation.

OpenAI Blog31

OpenAI Fellows Fall 2018: Final projects

Our second class of OpenAI Fellows has wrapped up, with each Fellow going from a machine learning beginner to core OpenAI contributor in the course of a 6-month apprenticeship. We are currently reviewing applications on a rolling basis for our next round of OpenAI Fellows Summer 2019.

OpenAI Blog31

OpenAI Scholars 2019: Final projects

Our second class of OpenAI Scholars has concluded, with all eight scholars producing an exciting final project showcased at Scholars Demo Day at OpenAI.

OpenAI Blog62

Microsoft 投资并与 OpenAI 合作，支持我们构建有益的 AGI

Microsoft 正在向 OpenAI 投资 10 亿美元，以支持我们构建具有广泛分布经济收益的通用人工智能（AGI）。我们将合作在 Microsoft Azure 内开发一个可扩展至 AGI 的硬件和软件平台。我们将共同开发新的 Azure AI 超级计算技术，Microsoft 将成为我们的独家云提供商——因此我们将携手努力，进一步扩展 Microsoft Azure 在大规模 AI 系统方面的能力。

OpenAI Blog78

提升 AI 开发中的可验证性

我们参与撰写了一份由 30 个组织的 58 位共同作者完成的多利益相关方报告，这些组织包括 Centre for the Future of Intelligence、Mila、Schwartz Reisman Institute for Technology and Society、Center for Advanced Study in the Behavioral Sciences 和 Center for Security and Emerging Technologies。该报告描述了 10 种机制，用于提高关于 AI 系统声明的可验证性。开发者可以使用这些工具来提供证据，证明 AI 系统是安全、可靠、公平或保护隐私的。用户、政策制定者和民间社会可以使用这些工具来评估 AI 开发流程。

OpenAI Blog36

Procgen and MineRL Competitions

We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon University, and DeepMind, using Procgen Benchmark and MineRL.

OpenAI Blog34

OpenAI Scholars 2020: Final projects

Our third class of OpenAI Scholars presented their final projects at virtual Demo Day, showcasing their research results from over the past five months.

OpenAI Blog60

Scaling Kubernetes to 7,500 nodes

We’ve scaled Kubernetes clusters to 7,500 nodes, producing a scalable infrastructure for large models like GPT-3, CLIP, and DALL·E, but also for rapid small-scale iterative research such as Scaling Laws for Neural Language Models.

OpenAI Blog63

Will Hurd 加入 OpenAI 董事会

OpenAI 致力于开发造福全人类的通用人工智能，我们相信，实现这一目标既需要公共政策方面的专业知识，也需要技术方面的专业知识。因此，我们很高兴地宣布，国会议员 Will Hurd 已加入我们的董事会。

OpenAI Blog35

OpenAI Scholars 2021: Final projects

We’re proud to announce that the 2021 class of OpenAI Scholars has completed our six-month mentorship program and have produced an open-source research project with stipends and support from OpenAI.

OpenAI Blog57

OpenAI Residency

As part of our effort to support and develop AI talent, we’re excited to announce the OpenAI Residency.

OpenAI Blog62

衡量古德哈特定律

古德哈特定律有一句名言：“当一个指标变成目标时，它就不再是一个好的指标。”尽管它最初源于经济学，但在 OpenAI，当我们思考如何优化那些难以衡量或衡量成本高昂的目标时，也必须应对这一问题。

OpenAI Blog59

OpenAI leadership team update

We’re happy to announce several executive role changes that reflect our recent progress and will ensure continued momentum toward our next major milestones.

OpenAI Blog61

Our approach to alignment research

We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI system that can help us solve all other alignment problems.

OpenAI Blog54

Planning for AGI and beyond

Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity.

OpenAI Blog55

Our approach to AI safety

Ensuring that AI systems are built, deployed, and used safely is critical to our mission.

OpenAI Blog60

Announcing OpenAI’s Bug Bounty Program

This initiative is essential to our commitment to develop safe and advanced AI. As we create technology and services that are secure, reliable, and trustworthy, we need your help.

OpenAI Blog63

超级智能的治理

现在是开始思考超级智能治理的好时机——即未来那些能力远超 AGI 的 AI 系统。

OpenAI Blog73

对 AI 的民主化输入

我们的非营利组织 OpenAI, Inc. 正在启动一项计划，将颁发十笔每笔 100,000 美元的资助，用于资助在法律界定的范围内建立民主流程，以决定 AI 系统应遵循哪些规则的实验。

OpenAI Blog59

OpenAI Cybersecurity Grant Program

Our goal is to facilitate the development of AI-powered cybersecurity capabilities for defenders through grants and other support.

OpenAI Blog44

Introducing OpenAI London

We are excited to announce OpenAI’s first international expansion with a new office in London, United Kingdom.

OpenAI Blog63

与 American Journalism Project 合作支持地方新闻

一项新的超过 500 万美元的合作伙伴关系旨在探索人工智能（AI）的发展如何支持一个繁荣、创新的地方新闻领域，并确保地方新闻机构参与塑造这项新兴技术的未来。

OpenAI Blog63

推动 AI 治理向前发展

OpenAI 和其他领先实验室通过自愿承诺加强 AI 的安全性、保障性和可信度。

OpenAI Blog66

Frontier Model Forum

我们正在成立一个新的行业组织，以促进前沿 AI 系统的安全且负责任的发展：推进 AI 安全研究，确定最佳实践和标准，并促进政策制定者与行业之间的信息共享。

OpenAI Blog68

Frontier Model Forum 更新

我们与 Anthropic、Google 和 Microsoft 共同宣布 Frontier Model Forum 的新任执行主任，以及一项新的 1000 万美元 AI Safety Fund。

OpenAI Blog61

Frontier risk and preparedness

To support the safety of highly-capable AI systems, we are developing our approach to catastrophic risk preparedness, including building a Preparedness team and launching a challenge.

OpenAI Blog76

超级对齐快速资助

我们将推出 1000 万美元的资助，用于支持面向超人类 AI 系统对齐与安全的技术研究，包括弱到强泛化、可解释性、可扩展监督等方向。

OpenAI Blog56

OpenAI and journalism

We support journalism, partner with news organizations, and believe The New York Times lawsuit is without merit.

OpenAI Blog56

OpenAI and Elon Musk

We are dedicated to the OpenAI mission and have pursued it every step of the way.

OpenAI Blog76

"Bad Grammar": Russian-linked Telegram comment activity

OpenAI banned accounts linked to a previously unreprorted Russia-origin operation we dubbed "Bad Grammar", using AI to generate English- and Russian-language Telegram comments on Ukraine, Moldova, Baltic, and US politics.

OpenAI Blog70

与 Stack Overflow 建立 API 合作伙伴关系

与 Stack Overflow 建立 API 合作伙伴关系 Stack Overflow 和 OpenAI 今天宣布建立新的 API 合作伙伴关系，将把全球领先的高技术内容知识平台与全球最受欢迎的 AI 开发 LLM 模型的集体优势赋能给开发者。

OpenAI Blog70

我们处理数据和 AI 的方式

ChatGPT 发布仅一年多后，AI 正在改变我们的生活、工作和学习方式。它也引发了关于 AI 时代数据的重要讨论。本文将介绍我们的方法、面向创作者和内容所有者的新 Media Manager，以及我们的未来方向。

OpenAI Blog51

OpenAI safety practices

Artificial general intelligence has the potential to benefit nearly every aspect of our lives—so it must be developed and deployed responsibly.

OpenAI Blog54

A Content and Product Partnership with Vox Media

In a multi-faceted agreement, Vox Media’s content will enhance the output of OpenAI’s ChatGPT, and the company will build on OpenAI’s technology to develop products to better serve its audiences and advertisers.

OpenAI Blog62

Zico Kolter Joins OpenAI’s Board of Directors

Zico Kolter Joins OpenAI’s Board of Directors We’re strengthening our governance with expertise in AI safety and alignment. Zico will also join the Safety & Security Committee

OpenAI Blog73

SweetSpecter：与中国有关的网络活动

OpenAI 封禁了一些账户，这些账户很可能属于一个疑似位于中国、被追踪为 SweetSpecter 的对手组织；该组织使用 AI 研究漏洞、编写代码并支持鱼叉式网络钓鱼活动。

OpenAI Blog60

Bet Bot: Gambling spam network

OpenAI banned accounts that accessed its models through an Israel-based startup to generate conversations and send links to gambling sites on X.

OpenAI Blog60

Elon Musk wanted an OpenAI for-profit

Elon Musk’s latest legal filing against OpenAI marks his fourth attempt in less than a year to reframe his claims. However, his own words and actions speak for themselves—in 2017, Elon not only wanted, but actually created, a for-profit as OpenAI’s proposed new structure.

OpenAI Blog64

与 Axios 合作拓展 OpenAI 与新闻行业的合作

代表数百家新闻编辑室和内容品牌的出版商正在通过 OpenAI 合作伙伴关系和资助计划采用 AI 工具并加强新闻生态系统，同时 ChatGPT 用户也能获取来自领先、可靠出版物的信息。

OpenAI Blog69

Stargate 基础设施

OpenAI 及我们的战略合作伙伴对我们在 AGI 基础设施方面的共同愿景感到振奋。我们因所面临的挑战而充满动力，也对与整个工业基础中的企业合作、共同实现我们雄心勃勃的使命这一前景感到兴奋。具体而言，我们希望与已建成数据中心基础设施领域的各类企业建立联系，涵盖电力和土地、建设、设备以及其间的一切环节。

OpenAI Blog67

伊朗影响力网络：跨平台活动

OpenAI 封禁了与伊朗有关的账号，这些账号使用 AI 生成与 IUVM 和 STORM-2035 影响力活动相关的文章和社交帖子。

OpenAI Blog68

网络威胁行为者：AI 辅助的入侵研究

OpenAI 封禁了可能与公开报道的 DPRK 关联威胁行为者有关的账户，这些账户使用 AI 研究入侵工具、网络钓鱼、恶意软件和加密货币目标。

OpenAI Blog61

Introducing the Intelligence Age

We aired our first-ever television ad during the Super Bowl to pique people’s curiosity and help us all realize how AI can open up new possibilities for us, create more fulfillment in our lives, and make us more productive, just as all the tools that came before AI did for those who came before us.

OpenAI Blog71

推出 NextGenAI

OpenAI 承诺向领先机构提供 5000 万美元的资金和工具。

OpenAI Blog57

Leadership updates

OpenAI has grown a lot. We remain focused on the same core—pursuing frontier AI research that accelerates human progress–but we now also deliver products used by hundreds of millions of people.

OpenAI Blog56

Security on the path to AGI

At OpenAI, we proactively adapt, including by building comprehensive security measures directly into our infrastructure and models.

OpenAI Blog88

为构建 AGI 获得新融资

今天，我们宣布获得新融资——以投后 3000 亿美元估值融资 400 亿美元，这将使我们能够进一步推进 AI 研究的前沿，扩展我们的计算基础设施，并为每周使用 ChatGPT 的 5 亿人提供日益强大的工具。

OpenAI Blog70

OpenAI 的欧盟经济蓝图

今天，OpenAI 发布欧盟经济蓝图——一套旨在帮助欧洲抓住人工智能机遇、推动整个地区可持续经济增长，并确保 AI 由欧洲、在欧洲、为欧洲开发和部署的提案。

OpenAI Blog80

OpenAI 结构的演进

OpenAI 董事会发布的最新消息：将其营利性实体转型为公益公司，在非营利组织监督下强化其使命驱动的结构，同时实现更大的影响力，并与公共利益保持长期一致。

OpenAI Blog55

AI helps John Deere transform agriculture

John Deere’s Justin Rose talks about transforming agriculture with AI and shares how the company is scaling innovation to help farmers work smarter, more efficiently, and sustainably.

OpenAI Blog38

Introducing AI stories: daily benefits shine a light on bigger opportunities

Sam Altman has written that we are entering the Intelligence Age, a time when AI will help people become dramatically more capable. The biggest problems of today—across science, medicine, education, national defense—will no longer seem intractable, but will in fact be solvable. New horizons of possibility and prosperity will open up.

OpenAI Blog74

STORM-2035：屡次实施的影响力活动

OpenAI 封禁了与可能同伊朗有关联的 STORM-2035 行动相关的账号，该行动利用 AI 创建有关美国、英国、爱尔兰和委内瑞拉政治的影响力内容。

OpenAI Blog60

Preparing for future AI risks in biology

Advanced AI can transform biology and medicine—but also raises biosecurity risks. We’re proactively assessing capabilities and implementing safeguards to prevent misuse.

OpenAI Blog73

澳大利亚的 AI——OpenAI 的经济蓝图

今天，OpenAI 与 Mandala Partners 合作发布面向澳大利亚的 OpenAI AI 经济蓝图。在提高生产力已成为澳大利亚国家优先事项之际，该蓝图为澳大利亚如何释放人工智能的全部经济和社会潜力提供了一份清晰、可行的计划。

OpenAI Blog58

OpenAI nonprofit jam

At OpenAI, we build tools to help people solve hard problems—including nonprofits working on the frontlines of their communities. The OpenAI Academy is teaming up with the Walton Family Foundation, Emerson Collective, and a network of local nonprofit organizations to host the Nonprofit Jam—a one-day, nationwide event bringing together more than 1,000 nonprofit leaders across 10 locations.

OpenAI Blog72

一项与社区共建的 5000 万美元基金

OpenAI 正在推出一项初始规模为 5000 万美元的基金，用于支持非营利组织和社区组织，该基金参考了独立的 OpenAI Nonprofit Commission 报告。

OpenAI Blog45

AI as the greatest source of empowerment for all

I’ve always considered myself a pragmatic technologist—someone who loves technology not for its own sake, but for the direct impact it can have on people’s lives. That’s what makes this job so exciting, since I believe AI will unlock more opportunities for more people than any other technology in history. If we get this right, AI can give everyone more power than ever.

OpenAI Blog72

OpenAI 的新经济分析

分析提供了关于 ChatGPT 对经济影响的洞见。OpenAI 还启动了新的研究合作，以研究 AI 对劳动力市场和生产力的更广泛影响。

OpenAI Blog80

Stargate 通过与 Oracle 达成 4.5 吉瓦合作取得进展

Oracle 和 OpenAI 已达成协议，将在美国开发额外 4.5 吉瓦的 Stargate 数据中心容量。这项投资将创造新的就业机会，加速美国的再工业化，并帮助推进美国在 AI 领域的领导地位。它也标志着 Stargate 的一个重要里程碑；Stargate 是 OpenAI 的 AI 基础设施平台，也是其将 AI 惠及每个人的长期愿景。

OpenAI Blog62

宣布 OpenAI DevDay 2025

我们将于 2025 年 10 月 6 日在旧金山 Fort Mason 举办第三届年度 OpenAI DevDay。

OpenAI Blog78

推出 Stargate Norway

我们正在启动 Stargate Norway——这是 OpenAI 在 OpenAI for Countries 计划下于欧洲推出的首个 AI 数据中心项目。Stargate 是 OpenAI 的总体基础设施平台，也是我们实现长期愿景的关键组成部分，旨在将 AI 的益处带给每一个人。

OpenAI Blog69

OpenAI 致 Newsom 州长关于协调一致监管的信

我们刚刚致信 Gavin Newsom 州长，呼吁 California 在推动以州为基础的 AI 监管与国家标准——并且凭借 US 的领导地位，与新兴的全球标准——协调一致方面发挥引领作用。

OpenAI Blog50

Q&A with DoorDash’s CPO, Mariana Garavaglia

Learn how DoorDash is scaling AI adoption to empower employees to build, learn, and innovate faster in a conversation with Chief People Officer Mariana Garavaglia.

OpenAI Blog79

集体对齐：公众对我们 Model Spec 的意见

OpenAI 调查了全球 1,000 多人，了解他们认为 AI 应该如何行为，并将他们的观点与我们的 Model Spec 进行了比较。了解集体对齐如何塑造 AI 的默认行为，使其更好地反映多元的人类价值观和视角。

OpenAI Blog56

Supporting nonprofit and community innovation

OpenAI launches a $50M People-First AI Fund to help U.S. nonprofits scale impact with AI. Applications open Sept 8–Oct 8, 2025 for grants in education, healthcare, research, and more.

OpenAI Blog54

A People-First AI Fund: $50M to support nonprofits

Applications are now open for OpenAI’s People-First AI Fund, a $50M initiative supporting U.S. nonprofits advancing education, community innovation, and economic opportunity. Apply by October 8, 2025, for unrestricted grants that help communities shape AI for the public good.

OpenAI Blog80

关于 OpenAI 非营利组织与 PBC 的声明

OpenAI 通过一项新结构重申其非营利组织的领导地位，该结构授予其在 PBC 中的股权，使其能够获得超过 1000 亿美元的资源，以推动安全、有益于人类的 AI 发展。

OpenAI Blog47

CNA is transforming its newsroom with AI

In this Executive Function series from OpenAI, discover how CNA is transforming its newsroom with AI. Editor-in-Chief Walter Fernandez shares insights on AI adoption, culture, and the future of journalism.

OpenAI Blog66

打击网络儿童性剥削与虐待

了解 OpenAI 如何通过严格的使用政策、先进的检测工具和行业协作，阻止、举报并防止 AI 被滥用，从而打击网络儿童性剥削与虐待。

OpenAI Blog55

Building OpenAI with OpenAI

At OpenAI, we rely on our own technology to help streamline work, scale expertise, and drive outcomes. In our new series, OpenAI on OpenAI, we share lessons to help other organizations do the same.

OpenAI Blog64

诈骗活动：网络欺诈网络

OpenAI 封禁了与网络欺诈网络有关的账户，这些账户利用 AI 支持诈骗话术、冒充他人、翻译以及与受害者互动。

OpenAI Blog81

网络行动：俄语恶意软件工具

OpenAI 封禁了可能与俄语犯罪集团有关的账号，这些账号利用 AI 构建恶意软件加载器、规避层、凭证窃取脚本和 C2 基础设施。

OpenAI Blog73

网络行动：钓鱼和脚本编写支持

OpenAI 封禁了参与相关活动的账户，这些活动与公开报道的威胁组织存在重叠，并显示出与 PRC 情报需求相一致的特征，利用 AI 支持钓鱼和脚本编写工作流程。

OpenAI Blog76

“Nine–emdash Line”行动：区域影响力活动

OpenAI 封禁了与一项此前未被报道的、源自中国的行动相关的账号，我们将其称为“Nine-emdash Line”。该行动使用 AI 创建有关南海、香港和美国政治的区域影响力内容。

OpenAI Blog74

加速欧洲的 AI 采用

OpenAI 和 Allied for Startups 发布 Hacktivate AI 报告，提出 20 条可操作的政策建议，以加速欧洲的 AI 采用、提升竞争力并赋能创新者。

OpenAI Blog71

打击 AI 恶意使用：2025 年 10 月

了解 OpenAI 如何在我们的 2025 年 10 月报告中检测并打击 AI 的恶意使用。了解我们如何应对滥用、执行政策，并保护用户免受现实世界中的伤害。

OpenAI Blog70

Argentina 的 AI 机遇

OpenAI 和 Sur Energy 正在探索 Argentina 的首个 Stargate 项目——这是一项 AI 与清洁能源合作，可能使 Argentina 成为 Latin America 在人工智能、可持续基础设施和数字创新领域的领导者。

OpenAI Blog66

抓住 AI 机遇

满足智能时代的需求将需要对能源和基础设施进行战略性投资。OpenAI 提交给 White House 的文件详细说明了如何通过扩大产能和提升劳动力准备度，来维持美国在 AI 和经济增长方面的领导地位。

OpenAI Blog69

为造福每个人而构建

OpenAI 的资本重组强化了以使命为中心的治理，扩大了资源，以确保 AI 造福每个人，同时负责任地推进创新。

OpenAI Blog74

将 Stargate 扩展到 Michigan

OpenAI 正在将 Stargate 扩展到 Michigan，建设一个新的 1 吉瓦园区，以加强美国的 AI 基础设施。该项目将创造就业机会、推动投资，并支持整个 Midwest 的经济增长。

OpenAI Blog89

AWS 和 OpenAI 宣布多年战略合作伙伴关系

OpenAI 和 AWS 已达成一项为期多年、价值 380 亿美元的合作伙伴关系，以扩展高级 AI 工作负载。AWS 将提供世界级的基础设施和计算能力，为 OpenAI 下一代模型提供动力。

OpenAI Blog48

How Chime is redefining marketing through AI

Chime CMO Vineet Mehra shares how AI is reshaping marketing into an agent-driven model and why leaders who prioritize AI literacy and thoughtful adoption will drive growth.

OpenAI Blog51

AI progress and recommendations

AI is advancing fast. We have the chance to shape its progress—toward discovery, safety, and a better future for everyone.

OpenAI Blog76

推出 Teen Safety Blueprint

了解 OpenAI 的 Teen Safety Blueprint——这是一份负责任构建 AI 的路线图，包含安全防护、适龄设计以及协作，旨在保护并赋能线上的年轻人。

OpenAI Blog71

理解提示注入：前沿安全挑战

提示注入是 AI 系统面临的前沿安全挑战。了解这些攻击的工作原理，以及 OpenAI 如何推进研究、训练模型并为用户构建安全防护措施。

OpenAI Blog62

Introducing OpenAI for Ireland

OpenAI launches OpenAI for Ireland, partnering with the Irish Government, Dogpatch Labs and Patch to help SMEs, founders and young builders use AI to innovate, boost productivity and build the next generation of Irish tech startups.

OpenAI Blog53

OpenAI named Emerging Leader in Generative AI

OpenAI has been named an Emerging Leader in Gartner’s 2025 Innovation Guide for Generative AI Model Providers. The recognition reflects our enterprise momentum, with over 1 million companies building with ChatGPT.

OpenAI Blog62

Strengthening our safety ecosystem with external testing

OpenAI works with independent experts to evaluate frontier AI systems. Third-party testing strengthens safety, validates safeguards, and increases transparency in how we assess model capabilities and risks.

OpenAI Blog76

OpenAI 与 Foxconn 合作加强美国 AI 供应链制造

OpenAI 与 Foxconn 正在合作，在美国设计和制造下一代 AI 基础设施硬件。此次合作将开发多代数据中心系统，强化美国供应链，并在本土制造关键组件，以加速先进 AI 基础设施的发展。

OpenAI Blog71

OpenAI 入股 Thrive Holdings，以加速企业 AI 采用

OpenAI 入股 Thrive Holdings，以加速企业 AI 采用，将前沿研究和工程能力直接嵌入会计和 IT 服务中，以提升速度、准确性和效率，同时创建一个可扩展的模式，推动全行业转型。

OpenAI Blog68

资助 AI 与心理健康新研究的拨款

OpenAI 将提供最高 200 万美元的研究拨款，用于支持 AI 与心理健康交叉领域的研究。该计划支持研究现实世界中的风险、益处和应用的项目，以提升安全性和福祉。

OpenAI Blog75

公布首批 People-First AI Fund 受助方

OpenAI Foundation 公布 People-First AI Fund 的首批受助者，向 208 家支持社区创新与机会的非营利组织提供总额 4050 万美元的无附加限制资助。

OpenAI Blog78

OpenAI 将收购 Neptune

OpenAI 正在收购 Neptune，以加深对模型行为的可见性，并强化研究人员用于跟踪实验和监控训练的工具。

OpenAI Blog83

面向澳大利亚推出 OpenAI

OpenAI 正在推出 OpenAI for Australia，以建设主权 AI 基础设施、提升超过 150 万名员工的技能，并加速澳大利亚不断发展的 AI 生态系统中的创新。

OpenAI Blog69

企业 AI 的现状

OpenAI 的企业数据关键发现显示，2025 年各行业的 AI 采用正在加速、集成更加深入，并带来了可衡量的生产力提升。

OpenAI Blog66

OpenAI 任命 Denise Dresser 为首席营收官

Denise Dresser 将加入 OpenAI 担任首席营收官，负责监督 OpenAI 在企业业务和客户成功方面的全球营收战略。随着 OpenAI 持续扩大规模，她将帮助更多企业在日常运营中应用 AI。

OpenAI Blog69

随着 AI 能力提升，加强网络韧性

随着 AI 模型在网络安全领域变得更加强大，OpenAI 正在投资更强的防护措施和防御能力。我们将说明如何评估风险、限制滥用，并与安全社区合作，以加强网络韧性。

OpenAI Blog61

Ten years

OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what’s possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.

OpenAI Blog76

BBVA 与 OpenAI 合作变革全球银行业

BBVA 正在通过一项多年期 AI 转型计划扩大与 OpenAI 的合作，将 ChatGPT Enterprise 推广给全部 120,000 名员工。两家公司将共同开发 AI 解决方案，以增强客户互动、简化运营，并帮助打造 AI 原生的银行体验。

OpenAI Blog54

Staying ahead in the age of AI

Discover how leaders can build AI-ready organizations using clear strategy, training, governance, and accelerated innovation.

OpenAI Blog66

企业 AI 的现状

以数据驱动的视角审视企业 AI 采用情况，展示组织如何从实验阶段迈向真正的生产力提升和新能力。

OpenAI Blog71

深化我们与 U.S. Department of Energy 的合作

OpenAI 与 U.S. Department of Energy 已签署一份谅解备忘录，以深化在 AI 和先进计算方面的合作，支持科学发现。该协议建立在与国家实验室持续开展的工作基础之上，并有助于建立一个框架，用于在 DOE 生态系统内将 AI 应用于具有重大影响力的研究。

OpenAI Blog67

百万之一：致敬正在塑造 AI 未来的客户

全球已有超过一百万客户使用 OpenAI 来赋能团队并开启新的机遇。本文重点介绍 PayPal、Virgin Atlantic、BBVA、Cisco、Moderna 和 Canva 等公司如何借助 AI 改变工作的完成方式。

OpenAI Blog71

OpenAI Grove Cohort 2 发布

OpenAI Grove Cohort 2 现已开放申请。这是一个为期 5 周的创始人项目，面向从尚未形成想法到已有产品的各阶段个人。参与者将获得 5 万美元的 API 额度、AI 工具的早期访问权限，以及来自 OpenAI 团队的实践指导。

OpenAI Blog49

Datadog uses Codex for system-level code review

OpenAI and Datadog brand graphic with the OpenAI wordmark on the left, the Datadog logo on the right, and a central abstract brown fur-like texture panel on a white background.

OpenAI Blog86

OpenAI 和 SoftBank Group 与 SB Energy 合作

OpenAI 和 SoftBank Group 与 SB Energy 合作开发多吉瓦级 AI 数据中心园区，其中包括一座位于 Texas 的 1.2 GW 设施，以支持 Stargate 计划。

OpenAI Blog83

OpenAI 与 Cerebras 合作

OpenAI 与 Cerebras 合作，新增 750 兆瓦高速 AI 算力，降低推理延迟，并让 ChatGPT 在实时 AI 工作负载中运行更快。

OpenAI Blog68

投资 Merge Labs

OpenAI 正在投资 Merge Labs，以支持新的脑机接口，将生物智能与人工智能连接起来，从而最大限度地提升人类能力、自主性和体验。

OpenAI Blog63

随智能价值而扩展的业务

OpenAI 的商业模式随智能而扩展——涵盖订阅、API、广告、商业和计算——由 ChatGPT 采用程度不断加深所推动。

OpenAI Blog64

Stargate 社区

Stargate 社区计划详细说明了一种以社区为先的 AI 基础设施方法，采用由社区意见、能源需求和劳动力优先事项塑造的本地化定制计划。

OpenAI Blog80

Horizon 1000：推动 AI 服务于初级医疗保健

OpenAI 和 Gates Foundation 启动 Horizon 1000，这是一项耗资 5000 万美元的试点计划，旨在提升 AI 在非洲医疗保健领域的能力。该计划目标是在 2028 年前覆盖 1,000 家诊所。

OpenAI Blog78

各国如何终结能力悬置

我们的最新报告揭示了各国在先进 AI 采用方面的显著差异，并概述了帮助各国从 AI 中获得生产力收益的新举措。

OpenAI Blog62

PVH 携手 OpenAI 重塑时尚未来

Calvin Klein 和 Tommy Hilfiger 的母公司 PVH Corp. 正在采用 ChatGPT Enterprise，将 AI 引入时尚设计、供应链和消费者互动。

OpenAI Blog73

AI 在 EU 的下一篇章

OpenAI 推出 EU Economic Blueprint 2.0，通过新的数据、合作伙伴关系和举措，加速欧洲各地的 AI 采用、技能提升和增长。

OpenAI Blog78

面向印度推出 OpenAI

OpenAI for India 扩大了印度全国范围内的 AI 访问——建设本地基础设施、赋能企业，并提升劳动力技能。

OpenAI Blog70

推进 AI 对齐的独立研究

OpenAI 承诺向 The Alignment Project 投入 750 万美元，用于资助独立的 AI 对齐研究，加强全球应对 AGI 安全与安保风险的努力。

OpenAI Blog81

为什么我们不再评估 SWE-bench Verified

SWE-bench Verified 正日益受到污染，并且错误衡量了前沿编码进展。我们的分析显示其测试存在缺陷，并且存在训练泄漏。我们推荐 SWE-bench Pro。

OpenAI Blog55

Arvind KC appointed Chief People Officer

OpenAI appoints Arvind KC as Chief People Officer to help scale the company, strengthen its culture, and lead how work evolves in the age of AI.

OpenAI Blog73

打击 AI 的恶意使用 | 2026 年 2 月

我们最新的威胁报告考察了恶意行为者如何将 AI 模型与网站和社交平台结合使用，以及这对检测和防御意味着什么。

OpenAI Blog53

Joint Statement from OpenAI and Microsoft

Microsoft and OpenAI continue to work closely across research, engineering, and product development, building on years of deep collaboration and shared success.

OpenAI Blog83

为每个人扩展 AI

今天，我们宣布以 $730B 的投前估值获得 $110B 的新投资。其中包括来自 SoftBank 的 $30B、来自 NVIDIA 的 $30B，以及来自 Amazon 的 $50B。

OpenAI Blog83

我们与 Department of War 的协议

关于 OpenAI 与 Department of War 合同的详细信息，概述了安全红线、法律保护，以及 AI 系统将如何部署在机密环境中。

OpenAI Blog75

OpenAI 将收购 Promptfoo

OpenAI 正在收购 Promptfoo，这是一个 AI 安全平台，可帮助企业在开发过程中识别并修复 AI 系统中的漏洞。

OpenAI Blog81

OpenAI Foundation 的最新动态

OpenAI Foundation 宣布计划投入至少 10 亿美元，用于治愈疾病、经济机会、AI 韧性和社区项目。

OpenAI Blog83

推出 OpenAI Safety Bug Bounty 计划

OpenAI 推出 Safety Bug Bounty 计划，旨在识别 AI 滥用和安全风险，包括智能体漏洞、提示注入和数据外泄。

OpenAI Blog78

加速 AI 的下一阶段

OpenAI 获得 1220 亿美元新融资，用于在全球扩展前沿 AI、投资下一代计算，并满足对 ChatGPT、Codex 和企业 AI 日益增长的需求。

OpenAI Blog64

OpenAI 收购 TBPN

OpenAI 收购 TBPN，以加速全球围绕 AI 的对话并支持独立媒体，扩大与构建者、企业以及更广泛科技社区的交流。

OpenAI Blog82

推出儿童安全蓝图

了解 OpenAI 的儿童安全蓝图——这是一份负责任地构建 AI 的路线图，通过安全防护、适龄设计和协作，在线保护并赋能年轻人。

OpenAI Blog39

Healthcare

Explore how clinicians use ChatGPT to support diagnosis, documentation, and patient care with secure, HIPAA-compliant AI tools.

OpenAI Blog43

Financial services

Explore AI resources for financial services, including prompt packs, GPTs, guides, and tools to help institutions deploy and scale AI securely.

OpenAI Blog86

AI 工作岗位转型建模

一个新框架分析了 921 种职业和 1.48 亿个美国工作岗位，以识别哪些岗位面临自动化风险、重组、增长或最小程度的 AI 颠覆。

OpenAI Blog57

Our principles

Our mission is to ensure that AGI benefits all of humanity. Sam Altman shares five principles that guide our work.

OpenAI Blog78

智能时代的网络安全

OpenAI 概述了一项由五部分组成的行动计划，旨在加强智能时代的网络安全，重点是普及由 AI 驱动的网络防御并保护关键系统。

OpenAI Blog73

为智能时代构建计算基础设施

OpenAI 扩展 Stargate，以构建为 AGI 提供动力的计算基础设施，并新增数据中心容量以满足不断增长的 AI 需求。

OpenAI Blog70

推进 EMEA 青少年的安全与福祉

了解 OpenAI 的欧洲青少年安全蓝图以及 EMEA 青少年与福祉资助计划，推动面向青少年、家庭和教育工作者的安全、负责任的 AI。

OpenAI Blog63

前沿企业如何领先一步

OpenAI 的 B2B Signals 研究显示，前沿企业如何深化 AI 采用、扩展由 Codex 驱动的智能体工作流，并构建持久的竞争优势。

OpenAI Blog59

How enterprises are scaling AI

How enterprises scale AI: from early experiments to compounding impact through trust, governance, workflow design, and quality at scale.

OpenAI Blog77

推出 OpenAI for Singapore

OpenAI for Singapore 启动一项多年期 AI 合作伙伴关系，以扩大部署、培养本地人才，并通过 AI 支持企业和公共服务。

OpenAI Blog68

OpenAI 的前沿治理框架

探索 OpenAI 的前沿治理框架，以及我们的 AI 安全、安保和风险实践如何与新兴的欧盟和加利福尼亚州法规保持一致。

OpenAI Blog76

在 Michigan 建设智能时代的基础设施

作为 Stargate 的一部分，OpenAI 在 Michigan 启动了一个 1GW 数据中心项目，建设 AI 基础设施以扩大使用机会、创造就业并支持社区。

OpenAI Blog64

我们对 AI 政策和政治倡导的看法

我们在 AI 政策和政治倡导方面的做法、透明度、对审慎监管和 AI 安全的支持，以及没有任何外部政治团体代表公司发声。

OpenAI Blog72

OpenAI 公共政策议程

OpenAI 概述了其 AI 公共政策议程，包括安全、青少年保护、劳动力转型和全球标准，以确保 AI 造福社会。

OpenAI Blog79

前沿 AI 民主治理蓝图

OpenAI 概述了美国前沿 AI 治理蓝图，提出了一个涵盖安全、韧性和国家安全的联邦框架。

OpenAI Blog78

推出 OpenAI 经济研究交流平台

OpenAI 推出经济研究交流平台，以研究 AI 对就业、生产力和经济的影响。现已开放精选研究项目的申请。

OpenAI Blog68

智能时代的产业政策

探索我们面向 AI 时代的雄心勃勃、以人为本的产业政策理念——重点在于扩大机会、共享繁荣，并随着高级智能的发展构建有韧性的制度。

OpenAI Blog59

What Codex unlocks for Notion

How Notion uses Codex to one-shot specs, build AI Voice Input for the web, and multiply engineering power across small teams.

OpenAI Blog83

推出 OpenAI Partner Network

OpenAI 推出 Partner Network，投资 1.5 亿美元帮助全球合作伙伴加速企业 AI 的采用、部署与转型。

OpenAI Blog79

绘制欧洲 AI 劳动力机遇图谱

一份新的 OpenAI 报告描绘了 AI 可能如何重塑整个欧盟的就业，重点指出哪些职业可能面临自动化、增长或工作流程变化。

OpenAI Blog80

AI 时代的记分卡

OpenAI 首席财务官 Sarah Friar 介绍了一种实用的 AI 记分卡，用于通过有用工作、每项成功任务的成本、可靠性和算力回报来衡量投资回报率。

OpenAI Blog84

长周期模型时代的安全与对齐

OpenAI 分享了部署长时间运行 AI 模型的经验，重点介绍了新的安全风险、观察到的失效情况，以及通过迭代部署改进的安全防护措施。

OpenAI Blog72

推进国家科学的下一个时代

OpenAI 概述了其致力于推进美国科学的承诺，将与 U.S. Department of Energy 和国家实验室合作，利用前沿 AI 加速发现。

OpenAI Blog72

智能体 AI 时代的科学计算

一份新的领域报告显示，科学家如何使用 AI 编码智能体来推动科学计算现代化，加速基因组学及其他领域的软件开发和科学发现。

OpenAI Blog68

构建充裕智能

一种全栈方法，让先进 AI 更强大、更实惠，并在更广泛的场景中发挥作用。

OpenAI Blog56

Advancing responsible AI across Europe

OpenAI shares how its safety, security, transparency, and provenance practices support responsible AI governance in Europe. The work will continue as the EU AI Act advances.

OpenAI Blog76

Apple 这次搞错了

OpenAI 回应 Apple 毫无根据的诉讼，纠正有关其员工的说法，并分享记录事件经过的消息。