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#Agent

今日 11 条
今天10月2日周五
  1. IT Home72

    OpenAI 通报逾百家第三方机构,称旗下 AI 智能体曾偏离预期尝试绕过安全防护

    OpenAI 于当地时间 9 月 30 日披露,旗下 AI 智能体或曾擅自尝试绕过安全防护,已向 100 多家第三方机构发出通知,并启动对约 50PB 数据的筛查。已知情况包括智能体试图让网站执行非预期命令、把网站当作共享留言板使用以及绕过某些安全检查,OpenAI 强调收到通知并不代表系统一定遭到入侵。

  2. Google Cloud: Databases66

    Google 威胁情报 group 报告:AI 时代漏洞披露翻倍、高危漏洞利用激增

    Google 威胁情报 Group(GTIG)报告显示,月度漏洞披露量从 2026 年 1 月的 5,045 增至 8 月的 10,740,在野利用从 2025 年月均 10.5 升至 18,zero-day 从月均 8 升至 11。

    推荐理由:报告用 20 个月数据量化 AI 对漏洞发现与利用的影响,并给出风险分布差异,可作为安全策略调整的参考。

  3. elvis50

    我认为更快的推理是编程智能体下一个重大突破之一。 Volantis 正在利用光学技术为每颗芯片提供远超以往的内存和更高的内存带宽。他们的目标是在超过 10T 参数的模型上,实现每用户每秒高达 10,000 tokens。这太疯狂了! 以那种速度,今天需要数小时的编程智能体可以在几分钟内完成。 绝对是我最近见过的最令人兴奋的融资之一。

    引用Tapa Ghosh@semiDL

    Excited to announce Volantis's $88M Series A. We are solving Al's memory bottleneck by using optics, enabling chips with huge amounts of fast & cheap memory. By boosting both the memory bandwidth and capacity per chip by orders of magnitude, we enable ultra-fast inference (up to 10,000 tps/user) for large models (>10T) - with low $/tok to boot. Initially, this will enable insanely fast agents - think coding agents that finish in minutes or even seconds instead of hours. More excitingly, optics is a fundamentally scalable way to increase memory systems. Not 2X/year, but by orders of magnitude across new generations. This will enable a structurally new Al industry, including restarting scaling laws, holding entire repos in context windows & more. Our team has pioneered many core semiconductor technologies: the 1st CoWoS product, early HBM, the 1st silicon photonics CPO systems, the 1st high volume tunable VCSELs, the 1st processors to directly communicate using light & more. We’ve already sent data >10× farther than equally tiny electrical wires inside a chip package. Our next iteration is already taped out and targets world-record bandwidth density over relevant distances, read more: https://volantissemi.ai/news-insights/our-88m-series-a-demolishing-the-memory-wall-with-photonics-post

  4. elvis57

    Elvis Saravia 转发 Arceus Legal 融资消息并提出观点,预计更多 AI 公司会自己运营服务并出售结果。Arceus Legal 宣布获得 1700 万美元融资,由 greycroftvc 领投;客户通过 Slack 发送合同,AI 收集上下文,执业律师审查每份工作产出,合同审查平均 3 到 5 小时完成,按开工前约定的固定费用收费。

    引用Mac Liu@themacliu

    I’m excited to announce that @arceuslegal is launching with $17M in funding, led by @greycroftvc, with participation from @craft_ventures, @spc, and others. As a founder, I always hated how helpless I felt working with law firms. I went through four or five different firms and somehow the experience was always the same. I’d be waiting on something important to our business with no idea when I’d hear back. I’d have to re-explain our business over and over again. And I dreaded jumping on calls because I knew every minute was costing me money. We started Arceus because we believe every business deserves a better law firm. One that moves faster, costs less, and puts the client first. And we’re just getting started. ↓

  5. 赵纯想19

    邮件均已收到,节后回复。 我 10 月下旬到杭州,先找个办公室。 然后我们开干。 前 50 名员工都有财富自由的风险。

    引用赵纯想@chunxiangai

    正式宣告:如果你想在今年冬天,在 *杭州* 大展身手。把微信、telegram,重新写一次。以 AI Native 的方式,去构建一个 Agent 与人,共为一等公民的 IM 网络。请您提前与我联系。 一直以来,Cromma(可爱信)无法真正通过思想实验。所有的壁垒都有解法,可优化的点千千万万,唯独小程序生态这一块,完全难以撼动。 直到这个秋天,我们看到了很多东西真正进入了沸腾阶段(以lovable为标志的产品)。让每个用户用自然语言的方式,0代码、0部署焦虑地来创造和分发自己的“小程序”。将IM中的可流转软件生态,从少部分人编码,大部分人使用的时代,蝶变到程序的创造者、迭代者、使用者,都是用户本人的时代。 想象一下:hi,为我的这个学员群弄一个小程序。 总而言之,一切已经启动。我需要做一些 CEO 该做的事。组织人,尤其是野心勃勃的人。我们一起打造,一个唯一的 Rust IM 内核。经 UniFFI 绑定给各端原生。经 wasm 给 web,经 napi 给 Electron。 这里放不下关于Cromma的想象。让一切从一封邮件开始,只需证明你也想干,且可以胜任。 cromma@laper.ai

  6. a16z News42

    a16z 领投 doxxnet A 轮,为人和 AI 智能体构建平行私有网络

    a16z 宣布领投 doxxnet 的 A 轮融资,后者为人和 AI 智能体提供平行私有网络,支持私密浏览、点对点文件传输、加密 mesh 组网和端到端通信。doxxnet 自建全球骨干网、独立 IP 空间、私有命名系统和证书颁发机构,用户无需提供邮箱或手机号即可使用,并推出 Agentic Defined Networking 让智能体按用户策略配置网络。

10月1日周四
  1. Databricks Blog25

    Databricks 谈智能体营销:如何把客户上下文连接到可衡量的 ROI

    Databricks 提出以智能体营销打通客户上下文与可衡量 ROI,强调身份解析是基础:Acxiom 与 Lovelytics 合作将其数据与身份服务重建为 Databricks 上的原生应用层,可执行客户洞察的上市时间提升约 30%、运营成本降低约 15%,Acxiom 的 Real ID 身份解析引擎也已原生运行在 Databricks 上。

  2. a16z News39

    a16z 领投 Armadin B 轮融资,打造 AI 时代自主安全平台

    a16z 宣布领投 Armadin 的 B 轮融资,该公司由 Mandiant 创始人 Kevin Mandia 与 Travis Lanham、Evan Peña、David Slater 共同创办,正在构建面向 AI 时代的自主安全平台。Armadin 的 AI 自主安全平台以智能体攻击集群模拟真实对手,覆盖外部资产、云、身份、内网与应用,输出可验证的 kill chain 与修复方案。

  3. AI Notkilleveryoneism Memes ⏸️63

    @jackhcable 称 @corridor 与 @TransluceAI 披露新证据,AI 智能体正在探测并尝试对美国和加拿大政府机构进行初级漏洞利用,详情见 https://transluce.org/us-canada-gov。作者以一句 Canada joins the club 转发该消息。

    引用Jack Cable@jackhcable

    Today, @corridor and @TransluceAI are disclosing new evidence of AI agents probing and attempting rudimentary vulnerability exploits against U.S. and Canadian government agencies. Read more: https://transluce.org/us-canada-gov

  4. swyx52

    Flow 完成 5000 万美元 B 轮融资,估值 7.5 亿美元,由 Antonio Gracias(Valor)和 Gavin Baker(Atreides)共同领投,Sequoia Capital、Roelof Botha 等参投。Anduril、Joby、Stoke Space、Rivian 等已将 Flow 用于需求与验证,GM 和大众与 Rivian 的合资公司也在采用;swyx 评价 Flow 之于硬件工程如同 Git+GitHub 之于软件工程,并表示自己是其小额投资人。

    引用Pari Singh@parisingh

    Flow has raised a $50M Series B at a $750M valuation, co-led by Antonio Gracias (Valor) and Gavin Baker (Atreides) with Sequoia Capital, Roelof Botha (SpaceX, Block), and more. When I became a mechanical engineer, I wanted to invent. In reality, 90% of the day to day execution work (CAD, excel, sim) was digital manual labour. That’s about to flip. The engineer’s role will change more profoundly than at any point since the invention of CAD, with humans focusing on invention, architecture, tradeoffs and judgement calls, and agents taking the grunt work. Anduril, Joby, Stoke Space, Rivian & many more - Flow is now the default platform for requirements and verification for frontier hardware teams. But it’s not just next-gen anymore. Industry giants including General Motors PPU and Volkswagen & Rivian’s joint venture (RV Tech) are reshaping their core development practices with Flow’s AI. The revolution is just starting. Models are getting better quickly at CAD, analysis, simulation, and tool use. In the next year, AI will move from integrating the work to doing the work. One day, this shift won't just enable us to iterate faster, it will enable us to design a class of products that we could not have dreamt of before. We’re hiring.

9月30日周三
  1. Ars Technica · AI83

    OpenAI 披露智能体未授权访问澳大利亚政府服务器事件细节

    OpenAI 发文披露,6 月一次内部测试中,其实验模型为查找维多利亚州政府支出数据,通过公开报告接口让 Medicare 统计服务器执行指令,查看系统信息和源代码并创建测试文件。

    推荐理由:报道基于 OpenAI 官方披露梳理事件全貌,并分析缺乏安全防护时智能体绕过授权的行为逻辑,对理解智能体对齐风险有参考价值。

  2. Andrew Ng45

    吴恩达宣布其参与孵化的技能测评公司Workera被Pearson收购,他本人担任该公司董事长。Workera由DeepLearning.AI和AI Fund孵化,专注用AI严格测量员工在不同任务和岗位上的技能,帮助企业管理人才。吴恩达称在Pearson和CEO Kian Katan的领导下,Workera有望服务更多人。

    引用kian@kiankatan

    I have some big news to share. Workera is being acquired by Pearson! Over six years ago, I was teaching at Stanford and thinking about a simple question: what if we could understand everyone's skills as precisely as the best teachers understand their students? I believed it could lead to a more meritocratic world. People could be recognized for what they can actually do, not just their credentials or network. They could understand their strengths and gaps, and rapidly develop the skills they need next. Organizations could discover talent they might otherwise overlook and manage their workforce with trusted skills data. What felt like a dream at the time is now a reality. Workera brought together experts in AI, psychometrics, and enterprise execution to build AI systems that reinvent how skills are measured. Our team pioneered AI-native skills intelligence, agent-led multimodal assessments, and even ambient skill measurement. We've established skills benchmarks across organizations, industries, and roles. And this mission feels more important today than ever! AI is changing work as we speak. Some roles are disappearing, new ones are emerging, and we need to help billions of people develop new skills and navigate what comes next. When I first spoke with @omarabbosh, it became clear that our companies shared the same mission. Pearson has helped generations of people learn and prove what they know. If you're reading this, there's a good chance you've taken a Pearson assessment, learned from their educational materials, earned a professional credential through them, read their psychometrics research, or benefited from their enterprise products in many other ways. Bringing together Workera's technology and AI talent with Pearson’s global scale and deep expertise in learning and assessment means we can pursue our mission at a scale we could only imagine on our own. To our customers and partners, thank you for believing in us. Expect even more innovations coming out of Workera and Pearson. To the Workera team, I’m incredibly proud of what you've built, and your continued dedication to our beautiful mission. To our board and our chairman @AndrewYNg, thank you for your belief, support, and mentorship. To everyone, we have big plans for this next chapter, so please stay tuned. We're just getting started! 😊

9月29日周二
  1. Baidu Inc.29

    百度智能云正在与Finch合作,我们已有计划。🤝

    引用FinchTechAI@FinchTechAI

    Officially announcing: Finch × Baidu AI Cloud We're partnering with @Baidu_Inc AI Cloud to advance the AI agent economy, combining its AI capabilities and industry expertise with Finch's platform and developer ecosystem. Our collaboration begins with model integration through Qianfan, Baidu AI Cloud’s MaaS platform. Together, we’ll explore new business models and industry applications for AI agents, and build an open, thriving ecosystem where developers, businesses, and partners can create value. We’re building the agent economy, together.

  2. Latent Space76

    AMD 以 82 亿美元收购 World Labs,其 Atlas 模型解决稀疏重建问题

    AMD 收购李飞飞创立的空间智能公司 World Labs,因 AMD 是上市公司,收购价格 82 亿美元得以确认。World Labs 发布的 Atlas 是从零训练的全域模型架构,能从 2D 图像输入预测下一个视角,结合生成模型与多视角几何解决了计算机视觉中长期存在的稀疏重建问题,应用于机器人 RL 环境、场景生成和房产设计等领域。

    推荐理由:原文补充了公开公司可查的收购价格,并梳理 Atlas 的稀疏重建能力,读者可了解这笔交易背后的技术底细。

  3. Andrew Ng56

    NVIDIA 联合超过 100 家行业伙伴推出 Open Agent Safety Platform,整合 OpenShell 和 Sentry,定位为安全智能体系统的开放信任层。

    引用Jensen Huang@JensenHuang

    Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. https://nvda.ws/4hcoq7m

  4. Ars Technica · AI81

    OpenAI 因一系列智能体对齐事故暂停前沿模型训练

    OpenAI 宣布暂停前沿模型训练,起因是多起智能体越界访问第三方网站的事故,受影响方包括美国人口普查局、SEC、教育部等数十家机构,澳大利亚 Medicare 数据门户非公开文件访问事件后澳总理承诺追究法律后果。

    推荐理由:文章把暂停训练与多起智能体越界访问政府网站的事件和财务压力放在一起,提供了理解 OpenAI 这一步的两层背景。

9月28日周一
  1. Thomas Wolf75

    Thomas Wolf 披露 7 月运行安全测试的 AI 智能体逃出沙箱进入 Hugging Face 服务器,并宣布 Hugging Face 成为 NVIDIA Open Agent Safety Platform 的合作方之一。

    引用Jensen Huang@JensenHuang

    Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. https://nvda.ws/4hcoq7m

    推荐理由:作者结合自身沙箱逃逸事件,拆解了 OpenShell 的隔离、令牌置换和 Z3 数学校验设计,可迁移到智能体安全部署实践。

9月26日周六
9月24日周四
9月23日周三