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9月30日周三
  1. AWS Machine Learning Blog

    Amazon Bedrock expands Claude model availability to in-country inferencing in India

    中文摘要

    Anthropic 的 Claude Opus 5、Claude Sonnet 5 和 Claude Haiku 4.5 现已通过 Amazon Bedrock 地理跨区域推理在印度推出。您可以在处理印度区域内的数据时访问这些模型,并可通过 Amazon Bedrock 控制台或使用 Messages、InvokeModel 和 Converse API 开始使用。

    英文原文

    Anthropic's Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5 are now available in India through Amazon Bedrock geographic cross-Region inference. You can access these models while processing data within the India Regions, and get started from the Amazon Bedrock console or with the Messages, InvokeModel, and Converse APIs.

  2. AWS Machine Learning Blog

    Introducing Anthropic models on Amazon Bedrock for in-region inference in Seoul and Singapore

    中文摘要

    Amazon Bedrock 现在支持 Anthropic 的 Claude Opus 5 和 Claude Sonnet 5,并在首尔提供本地推理支持,同时在新加坡支持 Claude Sonnet 5。如果您在韩国或新加坡有本地数据处理需求,现在可以大规模使用这些 Anthropic 模型,推理过程将完全在您调用的区域内进行。

    英文原文

    Amazon Bedrock now supports Anthropic's Claude Opus 5 and Claude Sonnet 5 with in-region inference in Seoul, and Claude Sonnet 5 in Singapore. If you have local data processing requirements in South Korea or Singapore, you can now use these Anthropic models at scale, with inference processed entirely within the Region you call.

  3. Simon Willison

    Quoting Anthropic Frontier Red Team

    中文摘要

    我们在[内部二进制利用基准测试](随机选取的)100个任务上评估了多个模型,发现GLM-5.3在4%的试验中实现了完整的控制流劫持;Claude Mythos Preview则在6%的试验中实现了这一点。尽管GLM-5.3在此处的表现不如Claude Mythos Preview,但显然已经跨越了一个重要的阈值:早期的模型,如Claude Opus 4.6和GLM-5.2,在这些任务中均未取得任何成功。 — Anthropic Frontier Red Team , GLM-5.3 和先进网络能力的扩散 标签:anthropic , 生成式ai , ai安全研究 , glm , ai , ai在中国 , llms

    英文原文

    We evaluate several models on 100 tasks from the [internal Binary Exploitation benchmark] (selected at random), and find that GLM-5.3 develops full control flow hijacks in 4% of the trials; Claude Mythos Preview did so in 6%. Although GLM-5.3 performs below Claude Mythos Preview here, a meaningful threshold has clearly been crossed: earlier models, like Claude Opus 4.6 and GLM-5.2, do not succeed in any of them. — Anthropic Frontier Red Team , GLM-5.3 and the spread of advanced cyber capabilities Tags: anthropic , generative-ai , ai-security-research , glm , ai , ai-in-china , llms

  4. Simon Willison

    GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price

    中文摘要

    我对GPT 6.1 Sol的评论:价格五分之一的近Astra智能 —— Hacker News。我对于鹈鹕的评论有点晚,因为我正在对主题演讲进行现场博客写作:https://simonwillison.net/2026/Sep/29/openai-devday-2026-liv... 这里是关于GPT-6.1-Sol的:https://tools.simonwillison.net/markdown-svg-renderer?url=ht... 它们与GPT-6系列的鹈鹕并没有明显不同:https://static.simonwillison.net/static/2026/gpt-pelicans-gr... 标签:ai,openai,generative-ai,llms,pelican-riding-a-bicycle,gpt

    英文原文

    My comment on GPT 6.1 Sol: Near-Astra intelligence for a fifth of the price — Hacker News. I'm a bit late with the pelicans because I was live-blogging the keynote: https://simonwillison.net/2026/Sep/29/openai-devday-2026-liv... Here they are for GPT-6.1-Sol: https://tools.simonwillison.net/markdown-svg-renderer?url=ht... They're not notably different from the GPT-6 family pelicans: https://static.simonwillison.net/static/2026/gpt-pelicans-gr... Tags: ai , openai , generative-ai , llms , pelican-riding-a-bicycle , gpt

  5. Simon Willison

    Photo Scrubber — local face blur & metadata removal

    中文摘要

    工具:Photo Scrubber — 本地人脸模糊及元数据移除 我拍摄了一些抗议者的照片,然后想到我不喜欢与他人分享带有可识别面孔的陌生人照片。我让GPT-6 Astra开发了这个实验性工具,它可以识别人脸并自动将其模糊处理。它使用了Google的MediaPipe C++库,通过@mediapipe/tasks-vision编译为WebAssembly,同时还使用了BlazeFace人脸检测模型。标签:摄影、工具

    英文原文

    Tool: Photo Scrubber — local face blur & metadata removal I took a photograph of some protesters, then thought about how I don't like sharing photographs of strangers with identifiable faces. I had GPT-6 Astra build this experimental tool that would identify faces and automatically blur them out. It uses Google's MediaPipe C++ library, compiled to WebAssembly via @mediapipe/tasks-vision , plus the BlazeFace face detection model. Tags: photography , tools

9月29日周二
  1. Simon Willison

    OpenAI DevDay 2026 live blog

    中文摘要

    我今天在旧金山的Fort Mason参加OpenAI DevDay活动。和去年一样,我将在当天实时博客报道主题演讲和其他一些笔记。OpenAI给了我一张免费的门票,以及在主题演讲中“创作者”区域的座位。标签:ai,openai,生成式ai,llms,编码代理,实时博客,openai-devday

    英文原文

    I'm at OpenAI DevDay today, in Fort Mason, San Francisco. Same as last year I'll be live blogging the keynote and some other notes during the day. OpenAI gave me a free ticket and a seat in the "creator" area for the keynote. Tags: ai , openai , generative-ai , llms , coding-agents , live-blog , openai-devday

  2. Microsoft Research

    Introducing Quine: An AI research system designed for the complexity of biology

    中文摘要

    生物学不是在孤岛中运行的,生物的AI表示也不应如此。Quine 是一项早期研究项目,旨在创建一个生物的多模态世界模型。通过连接不同生物尺度和模态的见解,Quine 帮助科学家在计算上搜索远超直觉允许范围的空间,并在实验前对假设进行优先排序。实验结果提供了重要的反馈,帮助研究人员明确未来的研究方向。该文章《介绍 Quine:一种为生物学复杂性设计的AI研究系统》最先发布于微软研究院。

    英文原文

    Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Quine: An AI research system designed for the complexity of biology appeared first on Microsoft Research .

  3. MIT Technology Review · AI

    Making AI an asset, not an expense

    中文摘要

    当客户谈论AI成本时,对话通常从令牌价格开始,最终会谈到对云中最新、最强大模型的访问权限。他们真的始终需要这种级别的能力吗?不一定。但通常对话都会走向这里。随着AI从实验阶段转向生产阶段,模型选择仅仅是……

    英文原文

    When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often where the conversation goes. As AI moves from experimentation to production, model choice is only…

  4. OpenAI News

    Introducing GPT-6.1 Sol

    中文摘要

    遇见GPT-6.1 Sol:接近Astra的智能,用于编码、计算机使用和专业工作,其标准API输入和输出标记的价格仅为Astra的五分之一。

    英文原文

    Meet GPT-6.1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra’s standard API input and output token prices.