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InfoQ
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Google Cloud Launches Managed MCP Support
Google Cloud's introduction of fully managed Model Context Protocol (MCP) servers revolutionizes its API infrastructure, streamlining access for developers. This enterprise-ready solution enhances AI integration across services such as Google Maps and BigQuery while promoting wide-scale adoption. New tools ensure governance and security, and are currently in public preview. By Steef-Jan Wiggers
Article: Architecture in a Flow of AI-Augmented Change
While AI adoption is surging, most organizations fail to scale past pilots. The solution lies in organizational structure, not just technology. This article details how architects can enable "fast flow" by defining clear domains and guardrails. Learn how to shift from controlling outcomes to curating context, allowing AI to drive continuous, valuable business change. By Jonathan McPhail, Juan Medina, Jake DeCrane, Isuru Wijesundara
QCon AI New York 2025: Moving Mountains: Migrating Legacy Code in Weeks Instead of Years
David Stein, Principal AI Engineer at ServiceTitan, presented “Moving Mountains: Migrating Legacy Code in Weeks instead of Years” at QCon AI New York 2025. Stein demonstrated how migrations don’t have to be synonymous to “moving mountains” and introduced the concepts of the Principle of Acceleration and the Assembly Line Pattern. By Michael Redlich
OpenAI at QCon AI NYC: Fine Tuning the Enterprise
At QCon AI NYC 2025, Will Hang from OpenAI unveiled Agent RFT—a cutting-edge reinforcement fine-tuning approach for tool-using agents. By optimizing prompts and tasks before model adjustments, Hang showcased effective strategies to enhance decision-making and efficiency, emphasizing a balanced grading system. The session revealed a future where smarter agents reduce latency and improve outcomes. By Andrew Hoblitzell
Visual Studio 2026 Released with AI-Native IDE and Performance Boost
Microsoft has officially launched Visual Studio 2026 (version 18), marking what they call the first ‘AI‑native’ release of its flagship integrated development environment. The general availability rollout follows extensive validation via the Insiders channel and reflects a blend of performance optimisations, deep GitHub Copilot integration, and tooling updates across core languages and workloads. By Edin Kapić
Article: NextGen Search - Where AI Meets OpenSearch Through MCP
In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search using OpenSearch and AI agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP). By Srikanth Daggumalli, Arun Lakshmanan
TornadoVM 2.0 Brings Automatic GPU Acceleration and LLM support to Java
The TornadoVM project recently reached version 2.0, a major milestone for the open-source project that aims to provide a heterogeneous hardware runtime for Java. The project automatically accelerates Java programs on multi-core CPUs, GPUs, and FPGAs. This release is likely to be of particular interest to teams developing LLM solutions on the JVM. By Ben Evans
Transformers v5 Introduces a More Modular and Interoperable Core
Hugging Face has released the first candidate for Transformers v5, marking a significant evolution from v4 five years ago. The library has grown from a specialized model toolkit to a critical resource in AI development, achieving over three million installations daily and more than 1.2 billion total installs. By Robert Krzaczyński
Meta's Optimization Platform Ax 1.0 Streamlines LLM and System Optimization
Now stable, Ax is an open-source platform from Meta designed to help researchers and engineers apply machine learning to complex, resource-intensive experimentation. Over the past several years, Meta has used Ax to improve AI models, accelerate machine learning research, tune production infrastructure, and more. By Sergio De Simone
Top posts from tech subreddits• Updated less than a minute ago
AI Is Inventing Academic Papers That Don’t Exist — And They’re Being Cited in Real Journals
[D] AISTATS is Desk-Rejecting Papers Where Authors Accessed Reviewer Identities via the OpenReview Bug
An independent Korean researcher is trying to democratize LLM pretraining with a 1.5B model
Hugging Face Trending
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Popular repositories from GitHub• Updated about 1 hour ago
awesome-chatgpt-prompts
Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
FunASR
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.