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今日 107 条
10月7日周三
  1. 🚨 AI News | TestingCatalog25

    Sesame 已宣布其自有眼镜产品,将于 2027 年推出! > "我们的系列将在日本制造,于 2027 年上市。" 正如我们此前报道的,Sesame 正在为其 AI 助手应用开发新的付款方案、浏览器使用支持、定时任务、连接器以及大量智能体功能。 除了各大实验室之外,这是我最关注的产品之一。 很快 👀 https://x.com/Stammy/status/2107268140321435735/video/1

  2. Hacker News:AI 热帖62

    Acemoglu:AI 不会必然取代劳动者,关键是建设亲劳动者的 AI

    经济学家 Daron Acemoglu 认为,AI 全面替代工作仍受可靠性、组织重组和最后一公里问题制约,当前路线若追求自动化可能既难提升生产率又扩大不平等。他重申此前估计,10 年内 AI 可能自动化美国约 20% 的简单办公和认知任务,但考虑扩散速度实际仅约 5% 的人类工作被替代,对应 10 年 GDP 增加约 1.5%。

  3. 🚨 AI News | TestingCatalog52

    Ampersand 宣布完成由 Bessemer Venture Partners 领投的 1500 万美元 A 轮融资,Lauri Moore 将加入董事会,同时其集成平台正式可用。

    引用Ayan Barua@ayanb

    Your AI is vaporware without deep integrations with your customers’ systems of record. Introducing @WithAmpersand: integration infrastructure for enterprise agents. We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday. Ask anyone serious about building AI and they’ll tell you: - The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs. - Your customers customized their deployments beyond recognition. - Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly. - Docs don't explain half the weird edge cases you'll hit. - One bad write can blow up your pilot or renewal. - Once you finally get it working, someone changes a field and it breaks again. The world's data lives in structured databases. AI needs a translation layer to work with it. So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for: - scoped permissions - bi-directional actions - real-time speed for agents - custom objects, fields, and workflows for each of your customers We built Ampersand to power the future of software. AI didn't trivialize writing integrations. It made them the critical path. I believe that deeply, so I didn't make a launch video about Ampersand. Instead, it's the best builders I know explaining just how big of a challenge this is.

  4. Microsoft Research52

    Microsoft Research 研究员 Jennifer Neville 谈 AI 评测失败与多轮交互局限

    Microsoft Research 合伙人研究经理 Jennifer Neville 在播客中讨论 AI 系统在真实工作环境中的评测、失败与改进方向。她的团队研究多轮交互、协作环境和长周期任务,发现 LLM 在任务要求经多轮逐步澄清时性能会明显下降,长流程文档编辑中未被发现的错误还会累积。

  5. Hacker News:AI 热帖76

    TasteVal 论文评测前沿 AI 系统的实验研究品味

    arXiv 论文提出 TasteVal 基准,用 8 个开放式前沿 AI 研发任务评测模型在固定问题下迭代设计实验并解读结果的能力。基准将实验研究品味定义为计算效率,模型担任 Researcher,固定 Coder agent 负责实现,预算为 40 H100 hour 或 120 wall-clock hour,并以 24 名人类专家的最佳尝试作为基线。

    推荐理由:论文把研究品味操作化为实验计算效率,并给出模型与人类专家的对比基线,可用于理解 AI 科研能力的评价口径。

  6. elvis36

    Ampersand 提供面向企业 AI 智能体的集成基础设施,用一份配置定义各客户的对象与字段映射,并处理 auth、重试、回填和监控。它面向 Salesforce、SAP、NetSuite、Workday 等系统中客户自定义对象、字段和权限差异导致的集成难题,已支持 11x、Orb 和 Square 在这些系统中执行智能体操作。

    引用Ayan Barua@ayanb

    Your AI is vaporware without deep integrations with your customers’ systems of record. Introducing @WithAmpersand: integration infrastructure for enterprise agents. We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday. Ask anyone serious about building AI and they’ll tell you: - The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs. - Your customers customized their deployments beyond recognition. - Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly. - Docs don't explain half the weird edge cases you'll hit. - One bad write can blow up your pilot or renewal. - Once you finally get it working, someone changes a field and it breaks again. The world's data lives in structured databases. AI needs a translation layer to work with it. So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for: - scoped permissions - bi-directional actions - real-time speed for agents - custom objects, fields, and workflows for each of your customers We built Ampersand to power the future of software. AI didn't trivialize writing integrations. It made them the critical path. I believe that deeply, so I didn't make a launch video about Ampersand. Instead, it's the best builders I know explaining just how big of a challenge this is.

  7. Hacker News:AI 热帖53

    Connector 开源 AI 智能体控制平面,支持逐动作准入与操作员停止控制

    Connector 是一个面向可执行真实动作的 AI 智能体的开源控制平面,为智能体提供身份、显式授权、逐动作准入、运行时强制执行、操作员停止控制和证据记录。它在智能体发送请求、修改数据、调用工具、花钱或联系其他智能体前,通过 PATE 判断该动作可 Proceed、Ask、Defer、Quarantine 或 Block;Cease 可隔离当前生成、作废上下文并停止后续准入。

  8. Hacker News:AI 热帖42

    Docusign Krew 智能体平台如何为工程师节省数千小时

    Docusign 内部智能体编排平台 Krew 已支撑 220 多个 Krewmates,数月内为工程师节省数千小时。员工无需代码或基础设施配置,通过系统提示词、技能文件、内置工具和触发器即可创建智能体。Krew 涵盖触发、编排、执行与结果持久化,可扫描错误日志、审查 feature flag、检查 pull request 并处理值班交接。

  9. Hacker News:AI 热帖47

    Show HN:AI Circuit Breaker,阻止 AI 智能体无限循环的反向代理

    AI Circuit Breaker 是一款可直接接入的反向代理,用于拦截 AI 智能体的无限工具调用循环,并按每小时 $2.00、每天 $10.00 的上限控制 API 支出。它基于 Python 和 FastAPI 构建,目标开销低于 35ms,请求检测使用易失性内存且不保存 payload;示例中可在第 3 次重复尝试时终止循环。

  10. Hacker News:AI 热帖34

    Show HN:Evalyze 用 Eva 追踪投资人外联与跟进

    Evalyze 推出由 Eva 支持的融资外联工具,可生成个性化邮件草稿、经用户批准后从其收件箱发送,并追踪回复与后续跟进。平台按阶段、行业、地点、支票规模和投资历史为初创公司匹配投资人,还提供覆盖六个维度的 Startup Analyzer 评分,以及 0-100 的演示文稿逐页评分与反馈。

10月6日周二
  1. Elon Musk24

    Grok @Bot 小贴士 我给 Grok Bot 接了一台打印机。现在,它能帮我规划一天的安排 1:18 用 @bot 制作原型 2:02 通过桌面端使用打印机 2:55 拉取日历、@X 和锻炼内容 3:46 自动化 4:32 为什么选择实体方式

    引用matt palmer@mattyp

    I gave Grok Bot a printer. Now, it helps me plan my day 1:18 Prototyping with @bot 2:02 Printer access through desktop 2:55 Pulling calendar, @X, and workouts 3:46 Automating 4:32 Why go physical

  2. Elon Musk35

    Grok @Bot 可以成为你的个人首席财务官! (引用推文用户称已将全部30个各类金融账户接入Grok Bot,可直接向其查询现金总额、信用卡待付情况、资金去向、股票投资分布等,无需再跨多个应用手动汇总数据。)

    引用Teslaconomics@Teslaconomics

    I literally hooked up ALL my finance accounts to Grok Bot. I really mean all of them: 1/ Chase 2/ Charles Schwab 3/ E*TRADE 4/ Fidelity 5/ Robinhood 6/ Wealthfront 7/ Apple Card 8/ 𝕏 Money FYI, this is a total of 30 accounts... Chase alone is 13 accounts between checking, savings, brokerage, credit cards, a 401(k), trusts, a stock plan, and 529s for the kids. I was already honestly the best with my $ money and I’ve NEVER made a late payment in my life. But before Grok Bot, I was wasting so much time bc every answer lived in different apps. Like my cash was in one place, cards in another, brokerage accounts somewhere else, and had to compile everything in a spreadsheet, if I even got around to putting it together. Now I just text my Grok Bot CFO. I can ask, “What’s my cash right now?” and it pulls everything together and separates personal from business. I can ask which credit cards are coming due and whether I have enough cash to pay them all in full. Green means I’m covered, red means I’m short, and it tells me exactly how much I need. I actually tested this... going red on purpose. Like I moved $ money around so I would come up short on one of the upcoming bills, and Grok caught it. I can even ask, “Where did my $ money go?” and instead of opening a bunch of apps, downloading transactions, cleaning up a spreadsheet, and making a chart myself, it pulls everything together and gives me the breakdown. Today, I also asked it for a pie chart of all my stock investments with the amounts and percentages. 1/ TSLA is 84.9% 2/ SPCX is 10.4% 3/ NVDA is 4.7% That’s across $ money sitting in different brokerage accounts, and it's awesome that I didn’t have to think about where any of it was. I literally just asked it one question... you can see for yourself. If you’re serious about your finances, you already ask the same questions all the time. • Like, can I cover everything that’s due? • Where did my $ money go? • How much $ cash do I really have? • What investments do I actually own? But honestly, the annoying part is that your financial life is usually scattered across 10+ different apps/platforms and a bunch of accounts, so getting a real answer takes a lot of work and your time. And honestly, most people probably don’t even look until something feels off or if they get a notification that a payment was missed or something. Now, with all my finance accounts linked, I just ask a normal question, Grok Bot checks everything it has connected, and gives me the answer. Then I can ask the same thing tomorrow, and again whenever, and get the updated version without rebuilding anything. The fact that you are able to talk to your entire financial life like you’re texting someone who already knows where everything is... this is a total game changer in the world of finance imo. If you really care about your $ money, hook yours up to Grok Bot. It's so worth it.

  3. Hacker News:AI 热帖54

    观点:反对把解决对齐作为 AI 安全与保障的主要框架

    作者反对将 AI 安全主要理解为解释模型内部并最终证明模型对齐,认为可解释性研究 14 年来仍未提供可靠、可扩展的形式化控制保证。文章主张借鉴航空、汽车、飓风、核安全、疫情和金融危机中的多层安全方法,通过预测、监测、限制权限、冗余保护和失败预案,与无法被完全理解的多层 AI 智能体系统共存。

  4. Hacker News:AI 热帖55

    OpenChart 在 Hacker News 展示可接入自有 AI 智能体的开源 TradingView 替代方案

    OpenChart 是一个开源的 TradingView 替代桌面应用,可将 AI 智能体用于市场研究、指标构建、价格提醒和行情异动解释。用户可接入自己的 Claude、Codex 和 Gemini 模型,桌面版免费,AI 用量遵循对应服务商套餐,云端市场数据另行计费。项目支持 macOS Apple Silicon 桌面安装和源码自托管,并提供名为 Tea 的市场分析语言来编写指标与监控条件。

  5. Aravind Srinivas48

    AI智能体在《星际争霸》中实现无暂停实时对战,游戏在各智能体思考期间持续运行,决胜局Blue以2比5负于Red。Blue攒出41架Dragoon后出击,因未侦察到Red的High Templar,部队遭Psionic Storm打击。整套环境由计算机搭建:基于OpenBW的Brood War运行时、VPS、C++ bridge及每智能体4个游戏工具,智能体仅获取战争迷雾限制下的状态,无视频输入。

  6. Hacker News:AI 热帖47

    Show HN:Tinyhat,为多智能体 Muse 提供按专家隔离的记忆(开源)

    Tinyhat 是一个 MIT 许可的开源项目,为多智能体 Muse 提供按专家隔离的记忆与技能,让 Muse 像幕僚长一样管理专家智能体团队。用户只需向 Muse 发送一条"hat"消息,无需自行安装应用,首次设置约需 30 分钟;所有操作需用户批准,并可在私有 Office 中查看任务归属与决策。