GitHub 开源项目：849879772/recruitops-agent
这条开源项目动态已归入“智能体与工作流”方向，适合用来补充站内工具库、方案页和技术选型参考。阅读这类项目时，重点看它解决的任务是否清晰、文档是否完整、示例是否能跑通、许可证是否适合团队使用，以及后续维护是否稳定。原始仓库入口已保留在来源链接中，便于继续查看代码和发布记录。主要开发语言为 Python，这会影响二次开发和部署成本。当前 GitHub 关注度约 104 stars，可作为社区热度参考。
AI 每日快讯
AI 每日快讯
AI 产品、模型、开源工具和官方动态的时间流。保留历史记录，按分类、日期和标签继续筛选。
3781历史快讯
208开源工具
32当前结果
09 月 25 日
2026-09-25 快讯
MarkTechPost：Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With…
原文摘要：Liquid AI has released LFM2.5-VL-3B-DSpark, a 279.5M-parameter draft model that brings speculative decoding to its LFM2.5-VL-3B vision-language model. It delivers up to 3.13x faste 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
The Decoder：Pentagon was right to slap Anthropic with a security supply chain risk label, federal court …
原文摘要：A federal appeals court has upheld the Pentagon's decision to bar Anthropic from military contracts. Defense Secretary Hegseth argues the company's safety restrictions cou 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
The Decoder：Another Google Deepmind researcher quits, says building superintelligent AI soon is "inheren…
原文摘要：Google Deepmind researcher Robert O'Callahan has quit, saying AI's "current rate of change is far too high." He worked on chip design tools that helped make AI cheaper and 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
GitHub 开发者博客：GitHub Copilot app for Beginners: How to build custom 工作流 with canvases
原文摘要：Describe the interface you need in plain English, then let the agent build a live surface you can both use and update—so you spend less time adapting to tools and more time getting 来源：GitHub 开发者博客。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
百个 AI Agent 协作写码：OpenClaw 展示研发自动化成本
原文摘要：Microsoft is splitting its Copilot app into three sections: Home, Code, and a new agent called "Autopilot." Built on OpenClaw, the agent runs continuously in the cloud, wh 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AWS Machine Learning 动态：Deploying real-time personalized speech with Qwen3-TTS on Amazon SageMaker AI
原文摘要：Deploy the publicly available Qwen3-TTS-12Hz-1.7B-Base text-to-speech model from Amazon SageMaker JumpStart to a fully managed, real-time endpoint, and clone a voice from a short r 来源：AWS Machine Learning 动态。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AWS Machine Learning 动态：NarrateAI: production-ready LLM quality assurance on Amazon Bedrock
原文摘要：NarrateAI delivers production-ready LLM quality assurance on Amazon Bedrock. This post details five techniques—adaptive pipeline orchestration, cross-account multi-model failover, 来源：AWS Machine Learning 动态。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AWS Machine Learning 动态：Accelerate multimodal RL training with SkyRL on Amazon SageMaker HyperPod
原文摘要：Learn how to run SkyRL, an open-source reinforcement learning framework, on Amazon SageMaker HyperPod to post-train a Qwen3-VL-8B vision-language model with GRPO. This walkthrough 来源：AWS Machine Learning 动态。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AWS Machine Learning 动态：Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughpu…
原文摘要：Learn how to scale Mixture-of-Experts (MoE) reinforcement learning on Amazon EKS using Elastic Fabric Adapter (EFA) and DeepEP. This post presents an architecture that combines Ama 来源：AWS Machine Learning 动态。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
OpenAI 官方动态：Proaction boosts sales 60% and saves 75+ hours with Codex
原文摘要：With Codex, GPT-Live-1, and GPT-6 Astra, Proaction builds, operates, and sells modern fleet management faster. 来源：OpenAI 官方动态。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AWS Machine Learning 动态：Multi-Region training with Amazon SageMaker HyperPod and Qumulo
原文摘要：Amazon SageMaker HyperPod and Cloud Native Qumulo let you place training compute in one AWS Region while keeping your dataset in another. This post shares the architecture and vali 来源：AWS Machine Learning 动态。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AWS Machine Learning 动态：How Datacor built self-service rental analytics with Amazon Quick Sight
原文摘要：Learn how Datacor built a self-service rental analytics experience for gas and welding distributors by embedding Amazon Quick Sight dashboards and natural language querying into it 来源：AWS Machine Learning 动态。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
MarkTechPost：Aikido Security Releases Altar-1: An Open-Weight Security Model Pruned From GLM-5.3 to 328 G…
原文摘要：Aikido Security has released Altar-1, its first open-weight security model. It is a compressed version of Z.AI’s GLM-5.3, built to run inside infrastructure the customer controls. 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
MarkTechPost：Perplexity Trains Its Computer Agent on Real Mistakes With Hint-Guided Self-Distillation
原文摘要：Perplexity Research published a new post-training study. It trains a model inside Perplexity Computer on real user sessions, including failed ones. The method pairs rejection sampl 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
InfoQ AI ML Data Engineering：Home Made CobbleDB Replaces DynamoDB at Perplexity to Cut Query Latency 5x and Reduce Cloud …
原文摘要：Perplexity has migrated its search infrastructure from Amazon DynamoDB to CobbleDB, an internally developed key-value store in Rust. This change reduced latency and costs associate 来源：InfoQ AI ML Data Engineering。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
MCP 新规范去掉会话依赖，远程服务器可无状态部署
InfoQ 报道称，AWS 详细说明了最新 Model Context Protocol 规范如何移除协议层会话、粘性会话要求和远程 MCP 服务器的会话存储。一句话结论是，这一改动让 MCP 远程服务器可以按请求独立路由，横向扩展更简单。值得关注的是，无状态化把应用状态、重试、可观测性和幂等性等责任转移到了其他层，这意味着部署变简单了，但工程复杂度并没有消失，只是换了位置。影响人群包括在 AWS 上部署 MCP 服务器的后端工程师、做 Agent 基础设施的团队。验证建议是查阅 MCP 最新规范与 AWS 的部署说明，确认自己的鉴权、重试和日志方案是否需要调整。
The Decoder：Meta's Muse agent gives every user a full cloud computer running Ubuntu Linux
原文摘要：Meta gives every Muse user a free cloud computer running Ubuntu Linux where they can install software, write code, and browse the web. A "Sentinel" process monitors sensit 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
The Decoder：Intelligence doesn't come cheap as AI drives up costs for the NSA, hospitals, and insurers
原文摘要：The NSA is already spending billions of dollars to test advanced AI models, mostly on computing power, according to The Washington Sun. Lawmakers expect full-scale AI over 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
The Decoder：Google's "Call for Me" lets Gemini phone businesses for you
原文摘要：Google is testing "Call for Me," a feature that lets Gemini call businesses on a user's behalf. The article Google's "Call for Me" lets Gemini phone businesses for you app 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
InfoQ AI ML Data Engineering：Podcast: The Future of AI: From Enterprise Adoption to 开源 Sovereignty
原文摘要：In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith, demystify the current state of AI in the enterprise. The discussion navigates the "industrial revolution" momen 来源：InfoQ AI ML Data Engineering。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
InfoQ AI ML Data Engineering：From Agent Authorization to AI Production 评测: QCon AI New York 2026
原文摘要：QCon AI New York has confirmed 23 sessions covering agent authorization, production guardrails, shared inference infrastructure, and the 评测 of AI systems after deployment. 来源：InfoQ AI ML Data Engineering。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
The Decoder：Anthropic signs $11.6 billion cloud deal with Akamai, pushing its compute spending past $500…
原文摘要：Anthropic has reportedly signed a seven-year, $11.6 billion cloud deal with Akamai Technologies and will receive a warrant for up to 5 percent of Akamai's shares. Its comp 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
The Decoder：Ruby on Rails creator DHH says he's done writing code by hand
原文摘要：David Heinemeier Hansson, creator of Ruby on Rails, has quit writing code by hand after 25 years. He says he hasn't typed a single line since March 2026. "English is a bet 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
MIT Technology Review AI：The Pentagon wants $30 million to build an AI-powered lie detector
原文摘要：The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request. The program, calle 来源：MIT Technology Review AI。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
InfoQ AI ML Data Engineering：Article: The Agent Harness: What It Is and Two Ways to Build One
原文摘要：This article explains the development and operational layers of an agent harness through two implementations of a finance assistant: AWS AgentCore Harness and LangChain with Envoy 来源：InfoQ AI ML Data Engineering。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
The Decoder：White House tells OpenAI and Anthropic to let U.S. review new models before sharing them wit…
原文摘要：The White House wants OpenAI and Anthropic to hold back new AI models from the U.K.'s AI Safety Institute until U.S. agencies get to review them first. The article White H 来源：The Decoder。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AI 资讯：How to Add AI to Legacy Software Without Rebuilding It
原文摘要：Most companies running legacy software assume that adding artificial intelligence means starting over, and that assumption stops many projects before they begin. Rewriting a system 来源：AI 资讯。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AI 资讯：The GPU Shortage Inside Your Own Infrastructure: Why AI Workloads Queue While Capacity Sits …
原文摘要：GPU utilisation shows compute activity, not whether capacity is actually available. A GPU can report low utilisation while remaining fully allocated to one workload. This post expl 来源：AI 资讯。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
AI 资讯：7 AI-Powered Document Fraud Detection Tools for Enterprise Onboarding
原文摘要：Key Takeaways Enterprise onboarding runs on documents. A new customer uploads a passport, a new merchant sends a business registration, a borrower attaches three months of bank sta 来源：AI 资讯。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
MarkTechPost：Fastino Releases GLiNER2.5-Decide: A 340M Open-Weight Decision Model That Runs on CPU
原文摘要：Fastino Labs has released GLiNER2.5-Decide, a 340M-parameter open-weight decision model. It takes text and a schema of typed questions and returns structured answers. Each answer c 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。
MarkTechPost：Black Forest Labs Releases FLUX 3 Action: A 7B Open-Weights World Action Model That Tops Rob…
原文摘要：Black Forest Labs (BFL), the lab behind the FLUX image models, has released FLUX 3 Action. It is a 7B open-weights World Action Model (WAM) for robot control. The model reads camer 来源：MarkTechPost。建议继续查看原文，重点核对它影响的工具入口、成本、风险和真实使用场景。