Favorite Agents have evolved from simple chat applications to autonomous, long-running systems that dynamically discover and compose dozens of tools per task without human oversight. On the other side, service and content providers are moving from human-centric subscription-based, one-size-fits-all pricing to pay-per-use, per-execution models where costs are often a few
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Shared by AWS Machine Learning August 19, 2026
Favorite This post is a collaboration between AWS and the OpenClaw Foundation. Autonomous agents that browse the web, call APIs, and query Model Context Protocol (MCP) servers can encounter services that require an HTTP 402 Payment Required response to be settled before access continues. To use those services without pausing
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Shared by AWS Machine Learning August 18, 2026
Favorite NVIDIA Nemotron 3.5 Lightning is designed for the fast, specialized model execution required by high-volume agentic workloads. With NVIDIA Nemotron 3.5 Lightning on Amazon SageMaker JumpStart, you can access an open model designed for high-volume agentic workloads. With this launch, you can deploy Nemotron 3.5 Lightning from Amazon SageMaker
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Shared by AWS Machine Learning August 18, 2026
Favorite We invite the Open Source community to participate in the OSI Governance Survey and help inform the future of OSI’s governance. The survey is an opportunity for community members and stakeholders to share their perspectives on how OSI’s Board of Directors should be selected and seated. The Open Source
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Shared by voicesofopensource August 17, 2026
Favorite Google Gemini and Pixel partner with five global football clubs to elevate the fan matchday experience through AI and Smartphone Technology. View Original Source (blog.google/technology/ai/) Here.
Favorite A common challenge in building agentic workflows is mixing managed foundation models (FMs) with your own cost-optimized or domain-specific models, without rewriting your agent framework to do it. In this post, we show you how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime, a
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Shared by AWS Machine Learning August 15, 2026
Favorite In multi-turn reinforcement learning (RL), your custom reward function decides what the model actually learns. A subtly wrong reward can quietly teach the wrong thing while every training curve looks healthy. Designing a reward that holds up over multi-turn, agentic tasks is one of the hardest parts of customizing
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Shared by AWS Machine Learning August 15, 2026
Favorite Your enterprise data lives in dozens of systems, but often the work happens in Microsoft 365. Amazon Quick bridges that gap as an AI assistant grounded in your data, now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions don’t require you to adopt a new application
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Shared by AWS Machine Learning August 14, 2026
Favorite Mergers and acquisitions (M&A) teams face a persistent challenge: conducting thorough due diligence on multiple acquisition targets while maintaining speed and analytical rigor. Teams often spend weeks manually reviewing targets before identifying viable opportunities. Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with
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Shared by AWS Machine Learning August 14, 2026
Favorite Enterprises across healthcare, manufacturing, retail, and financial services struggle to automate legacy web applications that demand human-like interaction beyond what standard Robotic Process Automation (RPA) can provide at scale. Amazon Bedrock AgentCore Browser Tool, combined with Strands Agents, addresses this gap with a fully managed browser service that lets
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Shared by AWS Machine Learning August 14, 2026
Shared by AWS Machine Learning August 19, 2026
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