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
31当前结果
09 月 15 日 2026-09-15 快讯

movo:把 DeepSeek Harness 变成自托管企业 Agent 平台

这个项目试图把 DeepSeek Harness 扩展成一个可自托管的企业级 Agent 平台,功能覆盖知识库、深度研究、内容生成、vibe coding、浏览器自动化、治理和管理后台。它同时涉及 RAG、MCP、skills 和工作流自动化,说明定位不是单一工具,而是把多种 Agent 能力收进一个可管控的平台里。值得关注的是“自托管”和“治理”这两个关键词,对企业来说,数据不出内网和权限审计往往比模型能力更重要。影响的主要是有内部知识库、需要浏览器自动化或希望统一管理多个 Agent 的团队。下一步可以到 GitHub 查看部署文档、依赖的 DeepSeek Harness 版本,以及治理和 admin 模块的具体能力,再决定是否用测试环境跑一遍。

NVIDIA AI 动态 官方资讯

NVIDIA AI 动态:‘Now We Can Know Everything and Do Anything,’ Jensen Huang Says at Dreamforce

原文摘要:Know everything. Do anything. That was the message NVIDIA founder and CEO Jensen Huang brought to Salesforce Dreamforce Tuesday, joining CEO Marc Benioff onstage in an appearance t 来源:NVIDIA AI 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 官方资讯

MarkTechPost:Inside NVIDIA’s cuDNN Graph API: Fusion, Autotuning, and Plan Reuse with cuDNN Frontend

原文摘要:Learn how to leverage NVIDIA’s cuDNN Frontend Graph API to build custom kernel fusions, autotuning engine configurations, FP8-style epilogues, scaled dot-product attention, dynamic 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 官方资讯

MarkTechPost:Google Releases Gemini 3.8 Live and 3.8 Live Extended Thinking for Production Grade Voice Ag…

原文摘要:Google has released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, its most advanced live dialogue models to date. The models execute tools and API calls in the background 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 官方资讯

The Decoder:Google launches Gemini 3.8 Live to take on OpenAI's GPT-Live-1 at a fraction of the cost

原文摘要:Google Deepmind released Gemini 3.8 Live and 3.8 Live Extended Thinking, two new audio models for 开发者 that top the Artificial Analysis speech-to-speech leaderboard. 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。

NVIDIA Developer 动态:How NVIDIA NVLink 6 Delivers Multi-Layer Resiliency for AI Factories

原文摘要:For operators of large-scale AI factories, maximizing continuous output is essential for productivity. In massive-scale AI training, every GPU in the cluster... 来源:NVIDIA 开发者 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。

NVIDIA Developer 动态:How NVIDIA Groq 3 LPX Deterministic Execution Drives Power-Efficient High-Interactivity Infe…

原文摘要:Power is a defining constraint for AI factories. As AI workloads demand a full compute platform to serve them, each component of that platform must maximize... 来源:NVIDIA 开发者 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。

NVIDIA Developer 动态:Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each

原文摘要:How can a 30B-parameter model activate only 3B parameters per token, and still use the capacity of the larger model? Nemotron 3.5 Lightning illustrates the... 来源:NVIDIA 开发者 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。

NVIDIA AI 动态 官方资讯

NVIDIA AI 动态:AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencie…

原文摘要:Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA, Tuesday spoke on AI factory efficiency at the AI Infra Summit, the Santa Clara Convention Center ev 来源:NVIDIA AI 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。

NVIDIA AI 动态 官方资讯

NVIDIA AI 动态:From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

原文摘要:On a sweltering August evening in Silicon Valley, as the sun dropped and air conditioning loads spiked, Silicon Valley Power sent a signal to an AI factory to adjust its power cons 来源:NVIDIA AI 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:Build an AI-powered product tagging system with Amazon SageMaker serverless model customizat…

原文摘要:Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning (SFT) and reinforcement learni 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:Optimizing cost and latency with Amazon Bedrock prompt caching

原文摘要:Prompt caching in Amazon Bedrock can cut input token costs by up to 90% when you repeatedly send the same context to foundation models. This post walks through six practical prompt 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:Announcing instance preference lists for Amazon SageMaker AI training jobs

原文摘要:Amazon SageMaker AI now offers instance preference lists for training and processing jobs. Specify an ordered list of up to five instance types, and SageMaker AI automatically laun 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。

NVIDIA Developer 动态:Scaling Federated Learning Across Docker, Kubernetes, and Slurm with NVIDIA FLARE

原文摘要:Federated learning (FL) projects often begin with a straightforward setup: one server, a few clients, and one dataset at each site. As those projects grow, the... 来源:NVIDIA 开发者 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。

The Decoder 官方资讯

The Decoder:Agility Robotics says its new Digit 5 robot can work next to people without safety fences

原文摘要:Agility Robotics has unveiled Digit 5, the next version of its humanoid robot for warehouses and factories. The article Agility Robotics says its new Digit 5 robot can wor 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:What must happen for AI’s trillion-dollar gamble to pay off

原文摘要:When Jessica Wachter, a finance professor at the University of Pennsylvania’s Wharton School, wanted to assess AI’s impact on the economy over the next few years, she faced a long 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。

The Decoder 官方资讯

The Decoder:Not everyone is convinced that Big AI's proposed development slowdown is really about safety

原文摘要:OpenAI, Anthropic, and Google want to slow down frontier AI development, citing safety concerns. But critics from across the industry and politics are pushing back. Cohere 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:Grab's Agent Framework LLM-Kit Accelerates AI Agent Production Deployment

原文摘要:Grab has implemented LLM-Kit, a framework that standardizes over 500 internal agent services. This system enhances service integration, 评测, and secret handling, reducing th 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。

GitHub AI 开源项目 开源工具

GitHub 开源项目:abnste/mewu_ai

这条开源项目动态已归入“开源生态”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 C#,这会影响二次开发和部署成本。当前 GitHub 关注度约 67 stars,可作为社区热度参考。

MarkTechPost 官方资讯

MarkTechPost:Agent-net Open Sources Webagent: A Go Harness That Turns Any Website into a Guarded AI Agent

原文摘要:Agent-net, the team building an agent-to-agent marketplace where AI agents discover, trust, and pay each other, has released Webagent, an 开源 harness for standing up public 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。