News Desk

AI news built for people who need the signal quickly

Short-form coverage of launches, policy changes, funding, infrastructure, and the market moves worth attention.

PolicyMay 24, 2026InfoQ AI/ML/Data Engineering
AWS MCP Server Reaches GA with Full API Coverage and IAM-Based Governance

AWS has recently made its managed Model Context Protocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation, and operational workflows through a standard interface. It provides a safer and more auditable way to connect AI agents to AWS services without handing over br

PolicyMay 24, 2026InfoQ AI/ML/Data Engineering
Google Introduces Middleware Architecture for Genkit Applications

Google has introduced Middleware for Genkit, its open-source framework for building AI-powered and agentic applications. The update adds a programmable interception layer around model calls, tool execution, and generation loops, giving developers more control over reliability, safety, and orchestration inside productio

BusinessMay 19, 2026InfoQ AI/ML/Data Engineering
Presentation: Powering the Future: Building Your GenAI Infrastructure Stack

Merrin Kurian shares the architectural blueprints and organizational processes behind Intuit’s AI transformation. She explains the "fixed, flexible, free" framework used to scale GenOS across 8,000 developers, enabling 3,500+ production experiments. She discusses critical agent failure modes, the "LLM-as-a-judge" evalu

Developer ToolsMay 19, 2026InfoQ AI/ML/Data Engineering
Anthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems

Anthropic has expanded its Claude Managed Agents platform with two enterprise-focused capabilities: self-hosted sandboxes and MCP tunnels. The release aims to address a recurring challenge in enterprise AI deployments, where organizations want to use autonomous agents but cannot allow execution environments or internal

ModelsMay 20, 2026InfoQ AI/ML/Data Engineering
Presentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams

Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the balance between empowering decentralized teams to choose the best models and maintaining centralized oversight for security, RBAC, and cost control. Explore open-source

Developer ToolsMay 20, 2026InfoQ AI/ML/Data Engineering
Designing a Multi-Agent System for Engineering Support at Scale: a Case Study from Grab

Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed

ModelsMay 21, 2026InfoQ AI/ML/Data Engineering
Presentation: The Ironies of A^2 I^2

J. Paul Reed discusses the "ironies of automation" - a 40 years-old concept now amplified by AI. He explains how advanced systems often make the human operator more crucial, not less, while simultaneously degrading the skills needed to intervene. Sharing real-world stories of "AI-fueled" incidents, he shares why over-r

Developer ToolsMay 22, 2026InfoQ AI/ML/Data Engineering
Presentation: AI Native Engineering

Ian Thomas shares a case study on embracing AI-native engineering within Meta’s Reality Labs. He explains the "Assess and Grow" framework, a maturity model designed to move teams from manual toil to AI-integrated innovation. He discusses real-world wins - including hitting 90% code coverage in record time - while addre

ModelsMay 22, 2026InfoQ AI/ML/Data Engineering
Uber Improves Restaurant Recommendations Using Real-Time Signals and Listwise Ranking

Uber updates its Uber Eats Home Feed recommendation system using near real-time user sequence features and a Generative Recommender model. The system evolves from hand-crafted features to transformer-based sequence modeling, reduces feature freshness from 24 hours to seconds, and shifts from pointwise scoring to listwi

PolicyMay 24, 2026Anthropic Newsroom
Anthropic acquires Stainless

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

ModelsMay 24, 2026Anthropic Newsroom
Introducing Claude Opus 4.7

Our latest model, Claude Opus 4.7, is now generally available. Opus 4.7 is a notable improvement on Opus 4.6 in advanced software engineering, with particular gains on the most difficult tasks.

InfrastructureMay 13, 2026InfoQ AI/ML/Data Engineering
Anthropic Launches Claude Platform on AWS

Anthropic has announced the general availability of Claude Platform on AWS, a new deployment option that gives AWS customers direct access to Anthropic’s n

ResearchMay 14, 2026TechCrunch AI
What happens when AI starts building itself?

Richard Socher's new $650 million startup wants to build an AI that can research and improve itself indefinitely — and he insists it will actually ship products.

ModelsMay 15, 2026TechCrunch AI
The OpenAI trial wraps up, and the Musk founder machine keeps spinning

The Musk v. Altman trial came to a close this week, and the final arguments kept circling back to one question: can we trust the people in charge of AI? All of this is playing out as SpaceX charges toward what could be one of the largest IPOs in American history, with&#