Global AI Weekly
Issue number: 113 | Tuesday, September 2, 2025
Highlights
Microsoft AI launches its first in-house models
Microsoft has introduced its first in-house AI models, signaling a major step in its push to compete directly in the AI space alongside OpenAI, the company it has heavily invested in. These new models reflect Microsoft's growing commitment to developing its own advanced AI technologies while expanding its influence in the rapidly evolving artificial intelligence landscape.
theverge.com
MIT reveals 95% of GenAI initiatives fail as learning gap widens enterprise divide
A study from MIT’s Project NANDA highlights a concerning trend: 95% of enterprise AI investments fail to deliver any return. The research points to fundamental learning limitations in artificial intelligence systems, which prevent organizations from achieving meaningful outcomes. This growing gap underscores the challenges enterprises face in effectively implementing and utilizing AI solutions.
ppc.land
An app is using AI to help parents track their children's online habits and wellbeing
The CEO of Aura explains how medical experts contribute to the app's design, helping train AI models to monitor and interpret a child’s online behavior. By analyzing language patterns, tone, emotional cues, and late-night activity, the app offers parents insights into their child’s digital habits and overall wellbeing. It aims to bridge technology and care to support healthier online interactions for kids.
cbsnews.comResearch
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
The page explores InternVL3.5, a cutting-edge open-source multimodal model designed to enhance versatility, reasoning abilities, and efficiency in AI systems. It highlights improvements in handling diverse tasks, delivering smarter performance while maintaining cost-effectiveness. Dive into the details of how this model pushes the boundaries of multimodal AI capabilities.
huggingface.co
LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries
This paper focuses on LiveMCP-101, a method designed to stress test and diagnose MCP-enabled agents using challenging queries. It explores how these agents perform under difficult conditions and analyzes their ability to handle complex tasks effectively. The discussion offers insights into improving the robustness and reliability of advanced AI systems.
huggingface.coVideo
End-to-end agentic development with GitHub Copilot
This demo highlights how GitHub Copilot simplifies development by acting as more than just a coding assistant. From setting up environments and prioritizing tasks to generating code and debugging issues, Copilot streamlines the workflow, even tackling tests and dependencies. Its agent mode goes a step further, executing tasks like writing commits, creating pull requests, and reviewing its own work. It's designed to keep developers focused on building impactful software with minimal distractions.
youtube.comArticles
AGENTS.md Emerges as Open Standard for AI Coding Agents
A new standard is gaining traction in the open-source scene with AGENTS.md, a simple and collaborative format aimed at supporting AI coding agents in software development. With over 20,000 developers already on board, this initiative is driving consistency and ease in AI-assisted programming. The format is shaping up to be a key tool for fostering innovation and efficiency in the tech community.
infoq.com
AI Is Now Being Used To Help Determine Patches For Backporting In The Linux Kernel
Generative AI is now playing a role in assisting decisions on which Linux kernel patches should be backported to stable releases, including crucial LTS branches. This technology is being leveraged to streamline and enhance the process of maintaining stability and security across various kernel versions. By using AI, developers can improve efficiency and make more informed choices in patch management.
phoronix.com
Anthropic launches a Claude AI agent that lives in Chrome
Anthropic has introduced a new Claude AI agent designed to operate directly within a user's Chrome browser. This innovative agent can both view what's on the screen and take actions, offering a more interactive and integrated browsing experience. The launch highlights Anthropic's push to create practical AI tools that seamlessly fit into everyday online activities.
techcrunch.com
Semantic Model Refresh Templates in Power BI
Semantic Model Refresh Templates in Power BI (Preview) make it easier to manage and sequence semantic model refreshes using Fabric Data Pipelines. This feature helps users handle both straightforward and complex refresh scenarios with a clear visualization of activities. Simply select "Create advanced refresh" from the refresh dropdown menu on the semantic model details page in your Microsoft Fabric workspace to get started.
powerbi.microsoft.comUpcoming Events
AgentCon 2025
After an exciting set of AgentCon events before the summer holidays, AgentCon is happening in more locations during the second half of the year. The AI Agents World Tour is a series of one-day conferences for developers focused on autonomous AI agents. Spanning cities like San Francisco and Singapore, these events gather top engineers, researchers, and creators shaping the future of AI technologies. It’s an opportunity to connect, learn, and innovate in the fast-evolving world of autonomous AI. Check all events and register for an event near you!
globalai.communityCode
Build with the Best: Join Azure AI Foundry Developer Community
Are you building with Azure AI Foundry? In today’s fast-paced dev world, you don’t want to miss this. The Azure AI Foundry Developer Community is your one-stop hub for: a vibrant forum for Q&A and code, with DevBlogs featuring the latest updates, plus real-time Discord chats, events, and learning. Connect with global peers and find everything you need in one vibrant space. Let’s build the future of AI - together.
microsoft.com
Agentic Knowledge Graph Construction
Discover how to create a multi-agent system that efficiently plans, designs, and builds a comprehensive knowledge graph. This process integrates advanced collaboration techniques between agents to streamline the construction and organization of interconnected data. Perfect for anyone looking to enhance their understanding of AI-driven knowledge management.
deeplearning.ai
Prompt Engineering for Grok Code Fast
Discover practical tips and techniques to maximize your use of grok-code-fast-1 through effective prompt engineering. This guide highlights key strategies for crafting precise prompts to improve code processing and achieve better results. Whether you're troubleshooting or coding from scratch, these insights will help you work smarter and faster with the tool.
docs.x.ai
Codex - OpenAI's coding agent on Visual Studio Marketplace
OpenAI's Codex extension for Visual Studio Code provides a streamlined coding experience by integrating an intelligent coding assistant directly into your workflow. Available with ChatGPT Plus, Pro, Team, Edu, and Enterprise plans, this tool is designed to enhance productivity and simplify complex coding tasks. It's a versatile agent tailored for diverse coding needs across various platforms.
marketplace.visualstudio.comPodcast
Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST) brings insightful conversations with leading experts in AI, exploring critical topics in artificial intelligence, cognitive science, neuroscience, and the philosophy of mind. Hosted by Tim Scarfe, Ph.D., with regular contributions from MIT's Dr. Keith Duggar, the show emphasizes intellectual diversity and rigorous analysis while cutting through the hype surrounding AI. It's a must-listen for anyone interested in thoughtful discussions on the big ideas shaping the field.
open.spotify.com