InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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OpenAI Launches Study Mode in ChatGPT to Support Step-by-Step Learning
OpenAI has introduced Study Mode in ChatGPT, a feature intended to guide users through problems in a step-by-step manner rather than supplying immediate answers. It uses interactive prompts, structured responses, and follow-up questions to encourage active engagement and support comprehension.
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“A Security Nightmare”: Docker Warns of Risks in MCP Toolchains
A new blog post from Docker warns that AI-powered developer tools built on the Model Context Protocol (MCP) are introducing critical security vulnerabilities — including real-world cases of credential leaks, unauthorized file access, and remote code execution.
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Google Labs Introduces Opal, a Visual Platform for Creating AI Mini-Apps
Google Labs has introduced Opal, an experimental no-code tool that enables users to create AI-powered mini-applications through natural language descriptions and a visual workflow editor.
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Cloudflare Chooses PostgreSQL Extension over Specialized OLAP for 100K Row/Second Analytics
In a recent article from the engineering team behind the Zero Trust product suite, Cloudflare explains why it chose TimescaleDB over ClickHouse to add analytics and reporting capabilities to its internal platform. The author highlights the “phenomenal balance” between the simplicity of storing analytical data alongside configuration data and the performance of a specialized OLAP system.
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Google Releases Major Firebase Studio Updates for Agentic AI Development
At Google Cloud Summit London in early July, Google revealed new capabilities in Firebase Studio that promise to enhance agentic cloud-based development: an autonomous Agent mode, native support for Model Context Protocol (MCP), and Gemini CLI integration. These updates aim to streamline agentic AI development by making AI agents more independent and seamlessly embedded in developer workflows.
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Apple Open Sources Diffusion-Based Coding Model DiffuCoder
Apple open sourced DiffuCoder, a diffusion large language model (dLLM) fine-tuned for coding tasks. DiffuCoder is based on Qwen-2.5-Coder and outperforms other code-specific LLMs on several coding benchmarks.
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Anthropic Proposes Transparency Framework to Safeguard Frontier AI Development
Anthropic has proposed a new transparency framework designed to address the growing need for accountability in the development of frontier AI models. This proposal focuses on the largest AI companies that are developing powerful AI models, distinguished by factors such as computing power, cost, evaluation performance, and annual R&D expenditures.
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Apple Shares Details on Upcoming AI Foundation Models for iOS 26
In a recent tech report, Apple has provided more details on the performance and characteristics of the new Apple Intelligence Foundation Models that will be part of iOS 26, as announced at the latest WWDC 2025.
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The White House Releases National AI Strategy Focused on Innovation, Infrastructure, and Global Lead
The White House has published America’s AI Action Plan, outlining a national strategy to enhance U.S. leadership in artificial intelligence. The plan follows President Trump’s January Executive Order 14179, which directed federal agencies to accelerate AI development and remove regulatory barriers to innovation.
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From Hadoop to Kubernetes: Pinterest’s Scalable Spark Architecture on AWS EKS
Pinterest revamped its data infrastructure by transitioning from a legacy Hadoop system to the Moka platform, leveraging Kubernetes and Spark on AWS EKS. This strategic shift enhances job isolation, simplifies deployment, and optimizes resource management, leading to reduced costs and improved efficiency.
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Databricks Agent Bricks Automates Enterprise AI Development with TAO and ALHF Methods
Databricks introduced Agent Bricks, a new product that changes how enterprises develop domain-specific agents. The automated workflow includes generating task-specific evaluations and LLM judges for quality assessment, creating synthetic data that resembles customer data to supplement agent learning, and searching across optimization techniques to refine agent performance.
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Qwen Team Releases Qwen3-Coder, a Large Agentic Coding Model with Open Tooling
Qwen Team has announced Qwen3-Coder, a new family of agentic code models designed for long-context, multi-step programming tasks. The most capable variant, Qwen3-Coder-480B-A35B-Instruct, is a Mixture-of-Experts model with a total of 480 billion parameters and 35 billion active parameters per forward pass.
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AWS Introduces Vector Capabilities on Amazon S3
At the recent AWS Summit in New York City, AWS announced the preview of Amazon S3 Vectors, claiming to be the first cloud object store with native support for storing large vector datasets. The new option offers subsecond query performance, reducing the cost of storing AI-ready data compared to traditional vector databases.
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State Space Models Can Enable AI in Low-Power Edge Computing
At the the 2025 Embedded Vision Summit, Tony Lewis, chief technology officer at BrainChip, presented research done by his company into state space models (SSMs) and how they can provide LLM capabilities with very low power consumption in limited computing environments, such as those found on dashcams, medical devices, security cameras, and even toys.
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Perplexity Launches Comet: a Browser Designed around AI-Assisted Interaction
Perplexity has introduced Comet, a new web browser designed to integrate natural language interaction directly into the browsing experience. Unlike conventional browsers built around navigation and search, Comet aims to support users in research, comparison, and task execution by combining browsing with persistent context and AI assistance.