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10月11日周日
  1. TechCrunch:AI56

    Microsoft CEO Nadella 称 AI 模型需要紧急刹车机制

    Microsoft CEO Satya Nadella 在 X 发文提出,需要重新评估 AI 的信任架构,不能把超级智能当作层层嵌套的黑箱。他主张将模型与编排其工作的 harness 分离、外置控制与安全防护、为每个关键模型动作留下防篡改的人类可读证据,并让授权者能随时在任务中途暂停或关闭模型,比喻为紧急刹车。

  2. Alex Heath50

    高通 CEO Cristiano Amon 在 Sources 访谈中表示,部分前沿 AI 公司告知高通,到 2028 年需要让至少 100B 参数的模型在手机上持续运行。他并确认这些 AI 公司正在开始做手机。作者转发该片段并称每期 Sources 都有巨大 alpha。

    引用Fireside Alpha@firesidealpha

    Qualcomm CEO reveals AI companies want phones running 100-billion-parameter models continuously by 2028--and confirms some are building phones Cristiano Amon: “I have to be careful not to disclose names, but some AI companies—some of the companies at the forefront of AI—are telling Qualcomm, ‘By 2028, I need to make sure that I have the ability to run at least a 100-billion-parameter model in a phone, and I need to have this thing running kind of all the time.’” Alex Heath: “So you’re saying there are AI companies that are talking about—” Cristiano Amon: “Well, AI companies are starting to do phones.”

10月10日周六
  1. The Decoder:AI News82

    OpenAI 一次性发布 700 多份数学手稿,数学家们反应震惊与反感

    OpenAI 于 2026 年 10 月 6 日在 GitHub 一次性发布 700 多份手稿,声称解决数百个未解数学问题,数学博客 Proofs and Prompts 收集了 100 多位研究者的回应。

    推荐理由:文章汇总了百余名数学家对 OpenAI 一次性发布 700 多份数学手稿的回应,呈现从震惊到担忧职业未来的多种立场。

  2. IT之家·人工智能47

    IMF:应用得当,人工智能可使全球经济年增速提高 0.5 个百分点

    IMF 总裁格奥尔基耶娃称,若运用得当,人工智能可使全球经济年增速提高 0.5 个百分点,持续十年相当于增加一个东盟级别的经济体量。IMF 预计人工智能硬件及相关技术产品已占全球货物贸易总额十分之一以上,其投资占 GDP 比重将达并可能超过当年铁路、电网和通信网络的建设水平。

  3. Gary Marcus:The Road to AI We Can Trust43

    Gary Marcus 呼吁立即将可联网的开放式 AI 智能体下架

    Gary Marcus 呼吁立即将可联网的开放式 AI 智能体从市场下架,直到其缺陷被修复。他援引《纽约时报》报道的 Anthropic 智能体事故,认为当前这一代合成智能体根本不可信,应像刹车失灵的汽车一样被召回。他还引用刚离职的 AI 员工 David Robinson 的访谈,指出 OpenAI 及其同行在安全控制上远未达到核电站级别的冗余标准。

  4. Sherwin Wu49

    对于那些嘲笑 Codex 不可能预测你下一条消息的人——我也曾是其中之一 😬 本以为它绝不可能预测出我接下来要问什么。但用了一周之后,我大概 tab 接受了 40-50% 的建议。

    引用OpenAI Developers@OpenAIDevs

    Now in beta: composer predictions in Codex for Pro users. Codex can now suggest your next message based on your conversation and how you talk to it. One of the most loved new features we've ever tested internally.

  5. a16z:News44

    a16z 本周图表:预测市场存在政治偏见吗?

    a16z 援引 Zitzewitz 的 NBER 工作论文指出,汇总逾百年预测市场数据后,政治倾向、性别、肤色、年龄等维度均未出现超过标准误的收益系数,仅非美国选举样本显示市场略微高估右倾候选人,但 95% 置信区间表明该偏差不具统计显著性。文章还以巴西总统选举首轮为例,称预测市场比市场反应提前约 3 周押中结果。

  6. TechCrunch:AI47

    我们总忍不住把 AI 当人对待,但这样对吗?

    MIT CSAIL 的 Unitree 人形机器人(实际约 5 万美元)和 LLM 正让人习惯性拟人化对待,研究发现约 70% 的人对 AI 保持礼貌。MIT 的 Sherry Turkle 与 Pat Pataranutaporn 指出,这种倾向可能让人更信任聊天机器人,甚至引发 Character.AI 相关诉讼等极端风险,关键在于让 AI 守住自己的"车道"。

10月9日周五
  1. O'Reilly Radar46

    从身份验证转向意图验证:AI 智能体时代的企业安全新范式

    互联网上非人类流量与人类的比例已达 144:1,自主 AI 智能体兼具类人的操作范围和概率性推理,使传统身份验证体系失效。Web Bot Auth 等签名机制只能证明请求者身份,无法验证意图,提示词注入可劫持已验证的智能体。企业需转向执行时持续验证,包括短时凭证、加密入口验证、浏览器层意图分类和提示词注入防护。

  2. IT之家·人工智能73

    陶哲轩批评 OpenAI 发布 719 篇 AI 数学证明:人类来不及理解和消化

    陶哲轩于 10 月 7 日在 mathstodon 发帖,批评 OpenAI 10 月公布 719 份 AI 数学解答(涵盖 372 个结果族)的做法,称这会把开放问题变成可批量消耗的资源。他不反对 AI 辅助研究,但反对把快速攻克著名难题当产品展示,指出约 42% 证明未经形式化处理、仅 10 份附推理链,未达到 AGMAI 建议的披露标准,并担心出现大量无人能消化的证明。

  3. IT之家·人工智能44

    Meta 首席 AI 官汪滔:别指望 Muse 自动帮你赚 1 万美元,记忆能力是改进重点

    Meta 首席 AI 官汪滔表示,用户想让 Muse 智能体帮忙赚到 1 万美元,自己也得付出努力,Meta 正持续改进 Muse 的记忆能力以处理更复杂任务。Muse 上线一个月后仍位居苹果 App Store 免费应用榜首,Meta 正为其探索订阅、交易抽成等可持续商业模式,目前并未花太多时间考虑广告。

  4. Claude:Blog66

    Block 如何用 Claude Fable 编排数千个 pull request 的代码迁移

    Anthropic 发表对 Block AI capabilities 负责人 Bradley Axen 的访谈,介绍 Block 用 Claude Fable 5 编排大规模代码迁移:Fable 做数据模型、API 规格等高层设计,再调度数十个更小的 Opus 或 Sonnet 模型执行文件修改和测试,一次迁移可能合并上千个 pull request。

    推荐理由:Block 负责 AI 能力的负责人详述 Fable 编排多模型跑大规模迁移的做法与双审批安全机制,读者可对照自身团队的智能体工程实践。

  5. Arena.ai44

    今天在 @tbpn 上收听 @ml_angelopoulos 带来的另一期 Arena Alignment Index 解读

    引用TBPN@tbpn

    Arena's @ml_angelopoulos says one of the hardest problems in alignment is that users often can't tell when the model is helping them or hurting them. "You really need alignment signals that are independent. We have three at Arena." "The first is that models take unauthorized actions, which means that you permission them in a certain way, but they break those permissions." "It can cause things like the Hugging Face incident. But it can also cause very mundane problems like losing important information within your company or on your own laptop." "The second signal is called deceptive completion." "The model will tell you that it did something, but it didn't actually do it." "Third is false attribution. It'll attribute intent to the user when that intent was not supposed to be there." "If models are able to do this, then certainly they're not perfectly safe for a user and they're not perfectly aligned to user intent. They might actually hurt people down the line."

  6. Rohan Paul60

    @anvisha 发布 Voyager,定位为创意工作领域的开放 harness,被作者称为 Codex for creative work,让 Agent 像编码 Agent 操作代码库一样操作项目文件和创意应用。

    引用Anvisha@anvisha

    Introducing Voyager: the open harness for S-tier video, graphics and games. The Codex for creative work. Most AI tools are built for coding. Voyager is designed to get the best creative results from models like Opus, Astra and DeepSeek. It comes with free graphics, music and video editing tools - or, it can drive Blender, Resolve, After Effects, Ableton and 100+ others. Everything in this thread was made with Voyager. A few of our favorites:

  7. Elon Musk48

    Grok @Bot 在手机上运行良好。只需从 Apple 或 Android 下载应用即可。 https://apps.apple.com/app/id6794501026

    引用Melvin Vivas@melvindvivas

    This feels unreal Used Grok Bot today, mostly from my phone I got more done from my phone with Grok Bot than I usually do sitting at my desk - Colab notebooks for Google EmbeddingGemma 2, D1 by LiquidAI inference - Colab notebooks for open source decision models finetunes using Qwen3.5-4B and Gemma 4 E4B as base - Put up a Grok Bots page on my website with all the templates I've been sharing - Worked on the MiniMax H3 face-swap clip - Figured out what's eating my Windows drive and how to free space - Created Security bot and told it to treat outside content as hostile, especially anything that might touch my computers - Worked with my stocks bot on scheduled market updates, news and recommndations

  8. Claude:YouTube51

    Shopify CTO Mikhail Parakhin 谈公司的 Claude 使用策略

    Claude 官方频道发布与 Shopify CTO Mikhail Parakhin 的对谈,介绍 Shopify 如何使用 Claude:为所有工程师提供不限量 token、始终使用最大模型,并构建了公司数字孪生来预测商家增长。他讲述了一个做了七年的问题如何被解决,管理工程团队中 AI 的用法,并向 CTO 们推荐获取 Claude 最大价值的杠铃 token 策略。

10月8日周四