InfoQ Homepage News
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Cactus v1: Cross-Platform LLM Inference on Mobile with Zero Latency and Full Privacy
Cactus, a Y Combinator-backed startup, enables local AI inference to mobile phones, wearables, and other low-power devices through cross-platform, energy-efficient kernels and a native runtime. It delivers sub-50ms time-to-first-token for on-device inference, eliminates network latency, and defaults to complete privacy.
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Python Workers Redux: Wasm Snapshots and Native uv Tooling
Cloudflare's latest advancements in Python Workers revolutionize serverless performance with near-instant cold starts, expanded package compatibility, and streamlined workflows via the uv package manager. By leveraging memory snapshots and WebAssembly, Cloudflare drastically reduces startup times, making Python a prime choice for AI and data science applications.
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Nuxt Introduces Native Request Cancellation and Async Handler Extraction for Performance Gains
Nuxt 4.2 elevates the developer experience with native abort control for data fetching, improved error handling, and experimental TypeScript support. With a 39% reduction in bundle sizes and a streamlined app directory, this release enhances performance and project organization, positioning Nuxt as a leading choice for full-stack web applications built on Vue.js.
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OpenAI and Anthropic Donate AGENTS.md and Model Context Protocol to New Agentic AI Foundation
OpenAI and Anthropic have donated their AGENTS.md and Model Context Protocol projects to the Agentic AI Foundation (AAIF), a new directed fund under the Linux Foundation. Block contributed their agent framework, goose, as another founding project, and several other tech companies have joined as Platinum members.
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Pinecone Introduces Dedicated Read Nodes in Public Preview for Predictable Vector Workloads
Pinecone recently announced the public preview of Dedicated Read Nodes (DRN), a new capacity mode for its vector database designed to deliver predictable performance and cost at scale for high-throughput applications such as billion-vector semantic search, recommendation systems, and mission-critical AI services.
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Target Improves Add to Cart Interactions by 11 Percent with Generative AI Recommendations
Target has deployed GRAM, a GenAI-powered accessory recommendation system for the Home category, using large language models to prioritize product attributes and capture aesthetic cohesion. The system helps shoppers find compatible accessories, integrates human-in-the-loop curation, and achieved measurable improvements in engagement and conversion.
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Toad: A Unified CLI Tool for All Your LLMs That Promises Improved UX From Existing Ones
During his sabbatical, Will McGugan, maker of Rich and Textual( frameworks for making Textual User Interfaces (TUI)), put his UI skills to work to build Toad. The newly publicly released tool aims to provide a unified, “beautiful” GUI for multiple coding agents in your terminal, accessible via the same tool via the Agent Communication Protocol (ACP).
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Neptune Combines AI‑Assisted Infrastructure as Code and Cloud Deployments
Now available in beta, Neptune is a conversational AI agent designed to act like an AI platform engineer, handling the provisioning, wiring, and configuration of the cloud services needed to run a containerized app. Neptune is both language and cloud-agnostic, with support for AWS, GCP, and Azure.
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Meta Details GEM Ads Model Using LLM-Scale Training, Hybrid Parallelism, and Knowledge Transfer
Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across its platforms. The model addresses core challenges in recommendation systems (RecSys) by processing billions of daily user-ad interactions where meaningful signals such as clicks and conversions are very sparse.
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Java News Roundup: GlassFish, TornadoVM, Spring Shell, WildFly, Hibernate, Kotlin
This week's Java roundup for December 15th, 2025, features news highlighting: the fifteenth milestone release of GlassFish 8.0; the first release candidate of Spring Shell 4.0; point releases of TornadoVM, Hibernate Reactive, Hibernate Search and Kotlin; the first beta release of WildFly 39; and maintenance releases of Micronaut Helidon and Vert.x.
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IBM Research Introduces CUGA, an Open-Source Configurable Agent Framework on Hugging Face
IBM Research has released CUGA (Configurable Generalist Agent) on Hugging Face Spaces, making its enterprise-oriented agent framework easier to evaluate with open models and real workflows. The move positions CUGA as a practical alternative to brittle, tightly coupled agent frameworks that often struggle with tool misuse, long-horizon reasoning, and recovery from failure.
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AWS Launches ECS Express Mode to Simplify Containerised Application Deployment
AWS has released Amazon ECS Express Mode, bringing a simplified process to deploying containerised web applications and APIs. Express Mode lets users deploy production-ready services in one shot, bypassing the usual detail required around ancillary requirements such as IAM roles, load-balancers and scaling.
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QConAI NY 2025 - Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability through the blend of probabilistic and deterministic systems. He argued for clear operational structures to minimize risks and optimize performance, highlighting the importance of specialized agents and deterministic paths to enhance accuracy and control in AI workflows.
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Google Metrax Brings Predefined Model Evaluation Metrics to JAX
Recently open-sourced by Google, Metrax is a JAX library providing standardized, performant metrics implementations for classification, regression, NLP, vision, and audio models.
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AWS Introduces Regional Availability for NAT Gateway
AWS has recently introduced regional availability for the managed NAT Gateway service. The new capability allows developers to create a single NAT Gateway that automatically spans multiple availability zones (AZs) in a VPC, providing high availability, eliminating the need to define separate gateways and public subnets in each zone.