Anthropic对其AI办公套件进行重大升级，推出Claude Whiteboards、Claude Sheets和Claude Data三款新产品，覆盖团队协作中的创意构思、数据追踪与可视化展示全流程。这些功能已对所有付费用户开放，支持多端同步，并实现模块间无缝衔接与第三方应用集成，提升协作效率。
The Web Search API in Amazon Bedrock AgentCore gives agents current, cited web results signed with the AWS credentials they already use. In this post, build a daily dependency watcher as a LangGraph graph that researches package ecosystems in parallel, keeps its rules in code, and checks every finding against its cited sources.
OpenAIは現地時間11月10日、ChatGPT Businessesのベータ版をリリースし、企業がBusiness Hubを通じて店舗情報を認証・取得し、商品データソースに接続してAIカスタマーサポートエージェントを作成できるようにしました。企業はスポンサー表示枠を設定でき、そのコンテンツは通常の回答と混在せず個別に表示されます。現在は米国で法令遵守しているECおよびオンラインサービス企業のみが利用可能で、データは集計された言及回数やクリック数、人気トピックのみ提供され、ユーザーとの対話内容は共有されません。
Kimi K3.1 Pro from Moonshot AI is now available on Amazon Bedrock. Learn how to get started through the OpenAI-compatible Chat Completions, Responses, and Converse APIs, optimize inference with explicit prompt caching, and use the model as a coding assistant in OpenCode.
MiniMax稀宇科技于11月10日发布并开放权重的图像生成模型H3-Image，可在10秒内生成4096×4096像素、约16MP的4K图像，速度达市面主流水平5倍。该模型支持文本生成图像、图像参考与编辑，最多可使用16张参考图，具备强指令遵循能力与高真实感细节表现。权重已上线Hugging Face，并通过MiniMax开放平台、MiniMax Code与海螺提供服务。官方评测显示其标准模式耗时16.0秒，Highspeed模式10.3秒，显著优于同类模型。定价仅为同档位主流工具的50%-70%，首周生成请求享五折优惠。MiniMax表示将持续开放权重，推动开源模型与闭源模型差距缩小，竞争焦点正转向高分辨率下的效率与成本。
TL;DR We serve Meta’s Muse Spark Open, an 816B-parameter mixture-of-experts model, on a single TPU v7 host of four chips, with SGLang running on the TorchTPU PyTorch backend. At the... The post Optimizing Muse Spark Open on TPU v7 with SGLang-TorchTPU appeared first on PyTorch.
Article URL: https://github.com/gmpetrov/brigade Comments URL: https://news.ycombinator.com/item?id=50442991 Points: 1 # Comments: 0
As AI writes more code, the bottleneck has become human-driven code reviews. Code Lens serves to aid that task by augmenting the review outside of line-level AI feedback. Check it out and let me know what you think. Thanks.Try it on a public PR: npx @blong8334/codelens pr https://github.com/expressjs/express/pull/7574 Comments URL: https://news.ycombinator.com/item?id=50446651 Points: 1 # Comments: 0
Article URL: https://github.com/sridharchaildn/notebook-ai Comments URL: https://news.ycombinator.com/item?id=50446588 Points: 1 # Comments: 0
One binary to run and you have a full backend at your fingertips: a database with a REST API, sign-in, realtime, files, server-side hooks and jobs, on SQLite or Postgres. It's MIT licensed. You can try the demo at https://demo.vaultbase.sh (the login is filled in, and it resets every hour). I built it to ship fast. I always tend to write the same logic for any new project, whether it's a side project or a small to medium project for a client. I wanted something my friends and I could work with fast, try new things with, and that's easy to use. Then it became something I really wanted to work on and make as complete as I can for any type of backend. As of writing this post it has 80 releases since May this year and is backed by more than 2,800 tests. I also run security reviews with Claude and fix what they find. It hasn't had an outside audit yet. It was built with the help of Claude, from the codebase to the documentation and fact-checking it against the code. Claude helped speed up the pace, find bugs, and write tests. Vaultbase is pre-1.0, so expect some bugs and issues here and there. I'm working hard to fix each and every one of them. Thank you for taking the time to read this. I'd really appreciate any feedback, even if you didn't like Vaultbase. The demo is yours to try, and it's two commands to run locally. Comments URL: https://news.ycombinator.com/item?id=50448562 Points: 1 # Comments: 0
