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今天10月16日周五30 条
  1. 🚨 AI News | TestingCatalog63

    Google Antigravity 宣布当天向付费 Google AI Pro 订阅用户推送 Gemini 4 Argon。该模型配有独立的每周 Argon 专属配额,叠加在现有 3.8 Flash 的 Gemini 额度之上,官方称需求强劲并已刻意扩容。

    引用Google Antigravity@antigravity

    We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.

  2. Ethan Mollick70

    Ethan Mollick 引用 @arcprize 数据称,Gemini 4 Argon 在 ARC-AGI (Verified) 上 ARC-AGI-3 得分 97.5%(provider adapter harness,花费 $4.8K),标准 harness 下为 49.8%;ARC-AGI-2 得分 91.3%,ARC-AGI-1 得分 98.5%,Google DeepMind 是第二个在 ARC-AGI-3 上超过 95% 的前沿实验室。作者认为智能体框架加上更强模型意味着 METR Long Tasks、GDPval、ARC-AGI-3 这些著名难题基准相继失去区分度。

    引用ARC Prize@arcprize

    Gemini 4 Argon from @Google on ARC-AGI (Verified): - ARC-AGI-3: 97.5%, $4.8K (provider adapter harness), 49.8%, $5.8K (standard harness) - ARC-AGI-2: 91.3%, $0.32/task - ARC-AGI-1: 98.5%, $0.16/task Google DeepMind is the second frontier AI lab to score above 95% on ARC-AGI-3.

  3. IT之家·人工智能48

    谷歌 Antigravity 用 AI 加速抗菌肽发现,已找到新型候选分子

    谷歌 Google Antigravity 智能开发平台借助 ProtNLM 模型,从氨基酸序列直接预测生物功能,为大量 UniProt 未表征蛋白质添加高置信度功能标注。研究人员已通过该平台发现一种新型抗菌肽候选分子,预测其对呼吸道感染病原体具有活性,目前正进行湿实验室验证。平台内置 Biomolecular Structure Viewer,可将原本需数天的跨数据库筛选压缩为单次协作会话。

  4. Rohan Paul61

    Google 量子 AI 团队首次在物理硬件上演示魔力态培育,在 105 量子比特 Willow 处理器上错误率较以往方法降低约 40 倍,保留下来的态达到 99.99% 的逻辑保真度,成果发表于 Science。该方法会对每个态进行筛查并丢弃不合格尝试,仅约 8% 的尝试通过筛选,且仍需在更大规模上验证;作者称这是通往纠错量子计算机的一步。

    引用Sundar Pichai@sundarpichai

    Some magical progress towards "magic state" in quantum! Our @GoogleQuantumAI team has demonstrated "magic state cultivation" on physical hardware for the first time. The result is a 40x error reduction on our Willow processor vs. previous methods, achieving a state-of-the-art 99.99% logical fidelity. It's another step towards useful, error-corrected quantum computers to help solve the hardest problems. The result is published in Science today, watch the video below to see how it works

  5. Rohan Paul70

    WSJ 报道称头部 AI 实验室正定期为员工开展反间谍演练。OpenAI 定期提醒员工防范贿赂、咖啡馆窃听、被收买的保洁人员和美人计,要求员工不得把带公司标志的物品带出办公室,并在 Slack 上定期提醒;Anthropic 和 Google 员工也接受过类似培训。

    引用Rohan Paul@rohanpaul_ai

    FT: The OpenAI engineer charged with bugging an executive conference room had booked one-way flights to Saudi Arabia, prosecutors say. Newly unsealed filings show Abdulrahman Alfozan, his wife and a third relative held tickets for October 12, 3 days after his arrest. Prosecutors used those bookings to get the complaint sealed on October 8, arguing he had the means and incentive to flee if he learned of the case first.

  6. François Chollet65

    François Chollet 转发 @arcprize 的评测,称 Gemini 4 Argon 在 ARC-AGI-3 上表现与 Astra 相近,Google 回到前沿。引用数据显示 Gemini 4 Argon 在 ARC-AGI-3 得分 97.5%(provider adapter harness,花费 $4.8K)、标准 harness 下 49.8%($5.8K),ARC-AGI-2 得分 91.3%,ARC-AGI-1 得分 98.5%,Google DeepMind 是第二个在 ARC-AGI-3 上得分超过 95% 的前沿 AI 实验室。

    引用ARC Prize@arcprize

    Gemini 4 Argon from @Google on ARC-AGI (Verified): - ARC-AGI-3: 97.5%, $4.8K (provider adapter harness), 49.8%, $5.8K (standard harness) - ARC-AGI-2: 91.3%, $0.32/task - ARC-AGI-1: 98.5%, $0.16/task Google DeepMind is the second frontier AI lab to score above 95% on ARC-AGI-3.

  7. Google Developers Blog61

    Google 介绍 google/adk-recipes 仓库的三层结构与 Agent Platform 集成

    Google Developers Blog 介绍 google/adk-recipes 仓库,它是 google/adk-samples 的重构后继版本,以 core/、plugins/、contrib/ 三层作为 Agent Platform 各入口的单一内容来源。

    推荐理由:官方详解 google/adk-recipes 三层结构,读者可以据此了解同一仓库如何同时服务 Agents CLI、Agent Garden 和 Gemini Enterprise。

10月15日周四
  1. Ars Technica:AI45

    YouTube Music 开始为 AI 生成音乐添加标签

    Google 正在 YouTube Music 应用和网站上线 AI 内容标签,标注完全由 AI 生成或经 AI 大幅修改的歌曲,标签显示在播放页,点击可查看详情。该做法沿用今年早些时候 YouTube 视频的 AI 标注机制,Google 与合作伙伴及自有检测工具共同识别,上传者也可自愿标注为完全 AI、部分 AI 或无 AI。