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.
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
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
AI Agent正从内容生成走向实际任务执行。处理本地文件看似是一个普通办公场景，却暴露出任务理解、代码执行、结果验证与权限管理等关键问题。Python-Use提供了一种新的执行思路，但Agent真正走向工作场景，仍需跨越可靠性与安全性的门槛。
For several years, the conversation about enterprise artificial intelligence has focused on capability: which model is smartest and which GPU is fastest. That made sense when technology was the constraint. It isn’t anymore. AI can now do far more than most organizations will allow, and the gap is trust. That’s the core finding of “Permission […] The post Cisco research: Trust, not technology, is now the speed limit on enterprise AI appeared first on SiliconANGLE.
General, often expert, and sometimes jagged
Gemini 4 Carbon, a model designed for complex software engineering, agentic work, and cybersecurity defense, is now available on Vercel's AI Gateway with a 50% discount through November 30, 2026. It features a 1M-token context window, enhanced capabilities in coding, full-stack development, scientific reasoning, and vulnerability detection, along with improved multi-step planning and collaboration under ambiguous requirements. The model can be accessed using the identifier 'google/gemini-4-carbon' in supported tools after setting up the Vercel CLI. AI Gateway offers unified API access, usage tracking, cost management, and performance optimizations, with no markup or platform fees, including for BYOK requests.
