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第 81–100 条 · 共 411 条
9月10日周四
9月9日周三
  1. @rohanpaul_ai67

    扎克伯格解释了 Meta 新 Muse 智能体的保密云虚拟机如何工作,每位用户可获得一台存放高度私密个人数据的保密云虚拟机,系统设计上连 Meta 自身也无法查看这些内容。

    原始视频预览图;未保存可播放视频URL
    引用@rohanpaul_ai@rohanpaul_ai

    Meta just released Muse AI assistant for personal tasks, powered by Muse Spark 1.3, Meta's latest model for longer-horizon agentic work - it can connect to email, calendars, shopping, payments and other services, then keep working after the app closes. - each user gets a Muse Secure VM, with a separate Sentinel agent that checks outbound data and actions before they reach the network. - Meta is making Muse free to use for up to 100M tokens per week, with subscription plans for people who use more compute - Sensitive actions such as purchases or emails require user approval, while credentials stay in Secure Credential Storage so Muse cannot read passwords or payment details. - the model, Muse harness, deterministic code and classifiers screen prompt injections before hostile content can enter the model's context. - currently it launches for U.S. users on web, iOS, Android and WhatsApp, with free access plus $20 and $100 monthly tiers for heavier usage. - the security design moves the trust boundary beyond model behavior into VM isolation, credential separation and a kernel-enforced gate on network actions.

    推荐理由:扎克伯格解释 Muse 智能体如何用保密云虚拟机隔离私人数据,读者可据此了解这套安全设计的具体取舍。

  2. @rohanpaul_ai74

    扎克伯格在播客中介绍自己如何使用 Meta 新发布的 Muse 智能体,称它更像持续工作的个人助手,而非聊天机器人。他把 Muse 用于照看喜欢烘焙的 3 岁女儿、监控登山许可并预订周末行程,还在 MMA 健身房装摄像头让 Muse 看录像给出训练反馈。

    原始视频预览图;未保存可播放视频URL
    引用@rohanpaul_ai@rohanpaul_ai

    Meta just released Muse AI assistant for personal tasks, powered by Muse Spark 1.3, Meta's latest model for longer-horizon agentic work - it can connect to email, calendars, shopping, payments and other services, then keep working after the app closes. - each user gets a Muse Secure VM, with a separate Sentinel agent that checks outbound data and actions before they reach the network. - Meta is making Muse free to use for up to 100M tokens per week, with subscription plans for people who use more compute - Sensitive actions such as purchases or emails require user approval, while credentials stay in Secure Credential Storage so Muse cannot read passwords or payment details. - the model, Muse harness, deterministic code and classifiers screen prompt injections before hostile content can enter the model's context. - currently it launches for U.S. users on web, iOS, Android and WhatsApp, with free access plus $20 and $100 monthly tiers for heavier usage. - the security design moves the trust boundary beyond model behavior into VM isolation, credential separation and a kernel-enforced gate on network actions.

    推荐理由:扎克伯格展示了 Muse 处理长期目标的方式,与发布细节一起呈现出长周期个人智能体的形态。

  3. OpenRouter Announcements62

    OpenRouter 推出美国区域路由,与去年上线的 EU 路由配套保障数据驻留

    OpenRouter 发布美国区域路由 us.openrouter.ai,与去年 10 月上线的 eu.openrouter.ai 配套,请求在区域内解密并只路由到区域内提供商,全程不出区。

    推荐理由:原文区分了推理级与端到端区域路由的差异,并说明区域域名、404 行为和 Guardrails 配置,读者可直接评估合规用法。

  4. @rohanpaul_ai72

    Meta 发布面向个人任务的 AI 助手 Muse,由 Muse Spark 1.3 驱动,可连接邮箱、日历、购物和支付等服务,应用关闭后仍能继续工作。

    引用@finkd@finkd

    Introducing Muse, the personal agent that understands your goals and works 24/7 to get things done for you.

    推荐理由:材料梳理了 Muse 的免费额度与安全架构,读者可据此判断个人智能体的权限与信任边界如何落地。

9月8日周二
  1. @kimmonismus67

    Google DeepMind 发布 AlphaGenome Atlas,一个可搜索的 AI 数据库,收录人类基因组中约 90 亿种单字母 DNA 变异的预测影响,规模约为 1 PB。预测涵盖基因表达、RNA 剪接、蛋白质生成等分子过程,并覆盖不直接编码蛋白质、负责调控基因何时何地激活的 98% 基因组。作者认为这可能是理解调控基因组的 AlphaFold 式时刻。

    原始视频预览图;未保存可播放视频URL
    引用@GoogleDeepMind@GoogleDeepMind

    We’re launching AlphaGenome Atlas: an AI-powered searchable database mapping the predicted impact of all 9 billion possible single-letter DNA changes. Here’s how it could help researchers better understand our biology 🧵

    推荐理由:材料给出了数据库覆盖的变异规模与数据体量,读者可据此判断它对调控基因组研究的可用性。

  2. Google DeepMind70

    Google DeepMind 发布 AlphaGenome Atlas,预测人类基因组全部 90 亿种单碱基变异

    Google DeepMind 发布 AlphaGenome Atlas 平台,包含人类基因组约 90 亿个单核苷酸变异的分子效应预测,数据规模 1 petabyte,超过 AlphaFold Database 30 倍以上。

    推荐理由:官方平台发布,覆盖 90 亿个单核苷酸变异预测并附应用案例,可用于了解基因组变异数据资源的最新规模与获取方式。

  3. OpenRouter Announcements73

    OpenRouter 推出 Shell 工具、容器与 Files API

    OpenRouter 发布 openrouter:shell 服务端工具、openrouter:bash 工具和 Files API,让平台上任意支持工具调用的模型都能在托管 Linux 容器中执行命令,目前以 beta 提供。

    推荐理由:原文给出了定价、容器网络与文件管理等具体配置细节,可帮助读者评估在现有 Agent 工作流中如何复用这套服务端沙箱。

9月5日周六
  1. @perplexity_ai66

    Perplexity 宣布 GPT-6 Astra 已在 Perplexity Computer 上线,Pro 和 Max 订阅者可访问。所引评测显示,该模型在 WANDR 上得分 0.682,单任务成本 11.98 美元,为所测模型中最高分。它比 Fable 5.1 高 13.5% 且成本低 6.1%,比 Opus 5 高 27.0% 但成本高 3.3%。

    引用@perplexity_ai@perplexity_ai

    We evaluated GPT-6 Astra on WANDR. It scored 0.682 at $11.98 per task, the highest score of any model we tested. GPT-6-Astra scored 13.5% higher than Fable 5.1 at 6.1% lower cost, and 27.0% higher than Opus 5 at 3.3% higher cost. https://t.co/SyYmD38qvq

    推荐理由:原文附有 WANDR 得分与单任务成本对比,读者可了解 GPT-6 Astra 在同类模型中的位置。

9月4日周五