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#Google

今日 27 条
10月1日周四
  1. Karina52

    Google DeepMind 发布新前沿模型 Gemini 4 Argon,面向编码、企业知识工作和网络安全防御等复杂工作流,即日起通过 Fairwind Program 向部分受信任测试者开放。作者引述其 PostTrainBench 得分 45.3%,高于 Gemini 3.1 Pro 的 21.99% 和 GPT-6 Astra 的 44.3%;评测表还显示其在自动化与智能体编码等多项基准领先,但在 FrontierSWE v2、Terminal-Bench 4.0 等项落后于对比模型。

    引用Google DeepMind@GoogleDeepMind

    Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

  2. fofr33

    非常激动地分享,Gemini 4 Argon 即将到来。迫不及待想尽快跟大家分享更多内容。

    引用Sundar Pichai@sundarpichai

    Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Here’s a look at the benchmarks:

  3. The Verge · AI73

    Google 发布 Gemini 4 Argon,初期仅限受信任的网络防御者使用

    Google 发布新一代前沿模型 Gemini 4 Argon,称其在软件工程、法律金融等企业知识工作和网络安全防御方面具有前沿性能。初期仅向一组受信任的网络防御者开放,Google 正参与美国政府预发布模型访问的自愿流程并逐步扩大访问。模型已用于 Google 内部工作流,如大规模代码库迁移;Google 将在更广泛发布前加强防范滥用和提示词注入攻击、监测错位等安全措施。

  4. Ars Technica · AI65

    Google 发布 Gemini 4 Argon 模型,暂未开放使用

    Google 发布 Gemini 4 Argon,称其在编码、知识工作和网络安全方面性能领先,但模型仍处有限测试,普通用户暂无法使用。DeepSWE v1.1 达 77.9%,高于 GPT-6 Astra、Fable 5.1 和 Opus 5.5;API 定价为每百万输入 token $2、输出 $10,输出上限提升至 100 万 token(此前为 64,000)。

  5. Demis Hassabis66

    Google DeepMind 推出蛋白质水印方法 SynthID Bio,成功合成既有功能又带水印的 AI 设计蛋白质,成果发表于 Nature。作者称生物安全是 AI 时代最紧迫挑战之一,并开源 SynthID Bio 工具供研究社区使用。

    引用Pushmeet Kohli@pushmeet

    Very happy to announce that our team @GoogleDeepmind has pushed the boundaries of generative biology, achieving the successful synthesis of AI-designed proteins that are both functional and watermarked. This proof-of-concept watermarking of the building blocks of life is enabled by SynthID Bio, our new protein watermarking method. It is designed to safeguard the new era of AI-powered generative biology and strengthen global biosecurity. You can read my thoughts here on why watermarking AI-designed proteins is an important research breakthrough: https://x.com/pushmeet/status/2105314763148321102

    推荐理由:AI 设计蛋白质首次实现功能与水印兼具并发表于 Nature,同时开源工具,读者可关注生物安全水印路线的实际落地。

  6. The Verge · AI77

    Trump 与六大科技公司签署前沿责任联合承诺,以自律取代联邦 AI 监管

    Trump 在与科技巨头晚宴后宣布不推联邦 AI 监管,Google、Anthropic、Meta、OpenAI、xAI 和 Nvidia 六家公司签署'道义约束'性质的前沿责任联合承诺(Joint Commitment on Frontier Responsibilities),由企业自我监管、无明确违规后果。

    推荐理由:原文汇集了六家头部公司负责人对自律式安全承诺的原话表态,便于对比各家立场差异。

  7. Ars Technica · AI59

    Google 为 AI Overview 付费试点约 100 家网站,付款额被指微不足道

    据 The Information 报道,Google 的 AI 内容贡献付费试点已接纳约 100 家出版商,当网站内容实质性贡献 Gemini 驱动的 AI Overview 等搜索结果时可获得付款。多家中小出版商称付款额仅约相当于其广告收入的 0.1%,部分大型出版商已拒绝加入,希望迫使 Google 提供更优厚的条件。

  8. Google Cloud: Databases23

    Cloud CISO Perspectives:网络安全初创公司如何赢得CISO青睐

    Google Cloud CISO办公室高级总监Alicja Cade与Nick Godfrey为网络安全初创公司支招,建议通过倾听客户需求、评估AI安全性及拥抱行业监管来赢得CISO信任。文中提到Google for Startups项目四年间已支持超50位网络安全创始人,并给出三条建议:先倾听再设计交付、用专有数据与微调构建技术护城河、警惕并购尽职调查中的常见陷阱。

9月30日周三
  1. Demis Hassabis50

    很高兴看到进展,我们期待后续跟进。

    引用Sundar Pichai@sundarpichai

    Great to meet today with @POTUS, @JDVance, @SpeakerJohnson and Administration + tech leaders. Important conversation and we signed today the White House Accord on Super Intelligence. As I shared today, Google has invested hundreds of billions in the last two years alone, with more to come, across the entire stack, to deliver benefits for America and the world. We’re working to build products that deliver real value for people and businesses, invest in local communities, and build trust in the technology. Industry also has to innovate responsibly. Google’s focused on building the right way, with appropriate testing, evaluations, red-teaming, and other safeguards against misuse and misalignment – and releasing models or products only after they’ve been thoroughly reviewed. We are committed to working with other industry leaders to establish norms and build public confidence. The White House Accord and the Joint Commitment on Frontier Responsibilities signed today is a solid basis for moving forward - it contains real tangible steps to promote safe development, while delivering the economic and scientific benefits of this technology.

  2. Mark Zuckerberg66

    Mark Zuckerberg 表示,美国各大前沿实验室负责人已承诺实施严格的内部控制和多层审计与审查,认为这能让公众更有信心实验室技术会按预期运行。引用的 @DavidSacks 推文称,各前沿实验室在白宫签署 White House Accord on Super Intelligence,承诺产品安全开发责任并接受新的内部控制和外部审计。

    引用David Sacks@DavidSacks

    Only President Trump could convene all the leaders of the top companies developing chips, data centers and frontier models for Super Intelligence. This new Industrial Revolution has already created a million new jobs and is spurring a bigger infrastructure build-out than the railroads, canals and grid combined. I was honored to witness history as the leaders of the frontier lab companies signed the White House Accord on Super Intelligence, accepting responsibility for the safe development of their products and imposing new internal controls and external audits. This is far better than waiting years for some international agreement that would probably never happen. President Trump continues to ensure that U.S. remains the technology leader while putting Americans first.

    推荐理由:协议文本列明四层控制与审计的具体安排,读者可以据此了解各实验室安全承诺的实际内容。

  3. Google Research44

    Google Research 提出 Diffusion Controller:统一并简化 AI 图像生成控制

    Google Research 提出 Diffusion Controller 框架,将扩散模型去噪过程重构为连续控制问题,用一个轻量"转向阻尼"网络在冻结基座模型的前提下动态调整生成轨迹。在 Stable Diffusion v1.4 上以 HPS-v2 评测,其完全解锁版本对基线模型取得 90% 胜率,并支持在无法访问内部权重的闭源模型上实现定制控制。

9月29日周二
  1. Google Cloud: Databases65

    Google Cloud 分析创业公司为何需要在前沿 API 之外搭配 Gemma 4 开源模型

    Google Cloud 发文主张创业公司采用“复合 AI 栈”,用开源的 Gemma 4 处理边缘执行、高吞吐分流、任务微调和垂直场景,把 Gemini 留给复杂推理。

    推荐理由:文章用三个创业案例和四类工作负载说明开源模型与前沿 API 搭配的架构取舍,适合正在做模型选型的团队参考。

9月28日周一
9月27日周日
9月26日周六