InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Google’s Universal Commerce Protocol (UCP) Powers Agentic Shopping
Google has launched the Universal Commerce Protocol (UCP), an open-source standard designed to enhance commerce on AI-powered platforms. UCP creates a common language for agentic shopping, enabling seamless interactions among consumers, businesses, and payment providers.
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Expired Oracle Patent Opens Fast Sorting Algorithm to Open Source Databases
A recent article reports that an Oracle patent on a fast sorting method has expired, allowing open source databases to use it freely. Mark Callaghan, the inventor behind the sorting algorithm, shows how this 20-year-old approach can speed up sorting similar data and could make database systems faster and more efficient.
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DoorDash Applies AI to Safety across Chat and Calls, Cutting Incidents by 50%
DoorDash deploys SafeChat, an AI-driven safety system for moderating chat, images, and voice calls between Dashers and customers. Using a layered text moderation architecture, machine learning models, and human review, SafeChat detects unsafe content in real time, enabling immediate actions and reducing low- and medium-severity safety incidents by roughly 50 percent.
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Open Payment Standard x402 Expands Capabilities in Major Upgrade
After six months of real-world usage, the open payment standard x402 has received a major update, extending the protocol beyond single-request, exact-amount payments. The release adds support for wallet-based identity, automatic API discovery, dynamic payment recipients, expanded multi-chain and fiat support via CAIP standards, and a fully modular SDK for custom networks and payment schemes.
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European Initiative for Data Sovereignty Released a Trust Framework
The Danube release of the Gaia-X trust framework provides mechanisms for the automation of compliance and supports interoperability across sectors and geographies to ensure trusted data transactions and service interactions. The Gaia-X Summit 2025 hosted facilitated discussions on AI and data sovereignty, and presented data space solutions that support innovation across Europe and beyond.
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How CyberArk Protects AI Agents with Instruction Detectors and History-Aware Validation
To prevent agents from obeying malicious instructions hidden in external data, all text entering an agent's context must be treated as untrusted, says Niv Rabin, principal software architect at AI-security firm CyberArk. His team developed an approach based on instruction detection and history-aware validation to protect against both malicious input data and context-history poisoning.
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Anthropic Announces Claude CoWork
Introducing Claude Cowork: Anthropic's groundbreaking AI agent revolutionizing file management on macOS. With advanced automation capabilities, it enhances document processing, organizes files, and executes multi-step workflows. Users must be cautious of backup needs due to recent issues. Explore its potential for efficient office solutions while ensuring data integrity.
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Tracking and Controlling Data Flows at Scale in GenAI: Meta’s Privacy-Aware Infrastructure
Meta has revealed how it scales its Privacy-Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using large-scale lineage tracking, PrivacyLib instrumentation, and runtime policy controls, the system enables consistent privacy enforcement for AI workloads like Meta AI glasses without introducing manual bottlenecks.
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MIT's Recursive Language Models Improve Performance on Long-Context Tasks
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively decompose and process inputs, and can handle prompts up to 100x longer than base LLMs.
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Google and Retail Leaders Launch Universal Commerce Protocol to Power Next‑Generation AI Shopping
Google launched the Universal Commerce Protocol (UCP), an open standard co-developed with Shopify, Target, and others, enabling AI-driven shopping agents to complete tasks end-to-end from product discovery to checkout and post-purchase management. UCP aims to standardize commerce capabilities, support multiple payment providers, and expand globally. Shaping the next generation of agentic commerce.
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GitLab 18.8 Marks General Availability of the Duo Agent Platform
GitLab 18.8 brings a number of new features, including GitLab Duo Planner Agent, GitLab Duo Security Analyst Agent, auto-dismiss irrelevant vulnerabilities, and more. With this release, the GitLab Duo Agent Platform, enabling organizations to orchestrate AI agents, reaches general availability.
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Pinterest's Moka: How Kubernetes Is Rewriting the Rules of Big Data Processing
Digital pinboard provider Pinterest has published an article explaining its blueprint for the future of large-scale data processing with its new platform Moka. The company is moving core workloads from ageing Hadoop infrastructure to a Kubernetes-based system on Amazon EKS, with Apache Spark as the main engine and support for other frameworks on the way.
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Docker’s Cagent Brings Deterministic Testing to AI Agents
Docker is positioning its Cagent runtime as a way to bring deterministic testing back to AI agents, addressing a growing problem for teams building production agentic systems.
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Hugging Face Releases FineTranslations, a Trillion-Token Multilingual Parallel Text Dataset
Hugging Face has released FineTranslations, a large-scale multilingual dataset containing more than 1 trillion tokens of parallel text across English and 500+ languages. The dataset was created by translating non-English content from the FineWeb2 corpus into English using Gemma3 27B, with the full data generation pipeline designed to be reproducible and publicly documented.
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Android Studio Otter Boosts Agent Workflows and Adds LLM Flexibility
The latest Android Studio Otter feature drop introduces several new features that make it easier for developers to integrate AI-powered tools in their workflows, including the ability to set which LLM to use, enhanced agent mode through device interaction, support for natural language testing, and more.