InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
OpenAI Study Investigates the Causes of LLM Hallucinations and Potential Solutions
In a recent research paper, OpenAI suggested that the tendency of LLMs to hallucinate stems from the way standard training and evaluation methods reward guessing over acknowledging uncertainty. According to the study, this insight could pave the way for new techniques to reduce hallucinations and build more trustworthy AI systems, but not all agree on what hallucinations are in the first place.
-
Claude Sonnet 4.5 Tops SWE-Bench Verified, Extends Coding Focus beyond 30 Hours
Anthropic's Claude Sonnet 4.5, its most advanced coding model, excels in task performance and safety, achieving a 98.7% safety score and improving real-world coding capabilities. Enhanced reasoning skills allow for sustained multi-step tasks, with notable user gains reported. This drop-in replacement demonstrates a powerful balance of capability and security for users.
-
PlanetScale Extends Database Platform to PostgreSQL
PlanetScale has announced the general availability of its managed sharded Postgres service, built for performance and reliability on AWS or Google Cloud. The launch extends PlanetScale's offerings to PostgreSQL users, adding to the company's existing popular MySQL-based platform built on top of Vitess.
-
Google DeepMind Introduces CodeMender, an AI Agent for Automated Code Repair
Google DeepMind has introduced CodeMender, a new AI-driven agent designed to detect, fix, and secure software vulnerabilities automatically. The project builds on recent advances in reasoning models and program analysis, aiming to reduce the time developers spend identifying and patching security issues.
-
OpenAI DevDay 2025 Introduces GPT-5 Pro API, Agent Kit, and More
At OpenAI's DevDay 2025, AgentKit and models GPT-5 Pro and Sora 2 were unveiled, enabling interactive software experiences directly within ChatGPT. This shift towards "apps inside ChatGPT" fosters collaboration and commercialization in conversations. Enhanced self-hosting options and robust SDKs empower developers and streamline workflows, positioning OpenAI at the forefront of AI innovation.
-
QCon AI New York 2025 Schedule Published, Highlights Practical Enterprise AI
The QCon AI New York 2025 schedule is now live for its Dec 16-17 event. Focused on moving AI from PoC to production, the program offers a practical roadmap for senior engineers & tech leaders. It addresses the real-world challenges of building, scaling, and deploying reliable, enterprise-grade AI systems, helping organizations overcome the hurdles of productionizing their AI initiatives.
-
GitHub Introduces New Embedding Model to Improve Code Search and Context
GitHub has introduced a new embedding model for Copilot, now integrated into Visual Studio Code. The model is designed to improve how Copilot understands programming context, retrieves relevant code, and suggests completions.
-
The New Data Commons MCP Server Unlocks a Wealth of Public Datasets for AI Developers
Google has recently introduced the Data Commons Model Context Protocol (MCP) Server, a tool that enables AI developers and researchers to easily access the public dataset collection available through Data Commons.
-
Google DeepMind Launches Gemini 2.5 Computer Use Model to Power UI-Controlling AI Agents
Google DeepMind has recently released the Gemini 2.5 Computer Use model, a specialized variant of its Gemini 2.5 Pro system designed to enable AI agents to interact directly with graphical user interfaces. The new model allows developers to build agents that can click, type, scroll, and manipulate interactive elements on web pages.
-
IBM Releases Granite-Docling-258M, a Compact Vision-Language Model for Precise Document Conversion
IBM Research has recently introduced Granite-Docling-258M, a new open-source vision-language model (VLM) designed for high-fidelity document-to-text conversion while preserving complex layouts, tables, equations, and lists.
-
11 Sessions Not to Miss at QCon San Francisco 2025
As QCon San Francisco (Nov 17-21, 2025) approaches, the conference's program committee and track hosts are sharing their top picks from this year's lineup. Their selections span a wide range of topics, from AI-accelerated development and platform engineering to resilience patterns and career growth, all with QCon's signature focus on real-world case studies and lessons learned.
-
Thinking Machines Releases Tinker API for Flexible Model Fine-Tuning
Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce infrastructure overhead for developers, providing managed scheduling, GPU allocation, and checkpoint handling. By abstracting away cluster management, Tinker allows fine-tuning through simple Python calls.
-
Claude Sonnet 4.5 Ranked Safest LLM from Open-Source Audit Tool Petri
Claude Sonnet 4.5 has emerged as the best-performing model in ‘risky tasks’, narrowly edging out GPT-5 in early evaluations by Petri --- Anthropic’s new open-source AI auditing tool.
-
Dreamer 4: Learning to Achieve Goals from Offline Data through Imagination Training
Researchers from DeepMind have described a new approach for teaching intelligent agents to solve complex, long-term tasks by training them exclusively on video footage rather than through direct interaction with the environment. Their new agent, called Dreamer 4, demonstrated the ability to mine diamonds playing Minecraft after being trained on videos, without ever actually playing the game.
-
Vercel Introduces Drains for Unified Data Export
Vercel has released Vercel Drains, a system for exporting observability data from its platform into external services. The feature unifies logs, distributed traces, web analytics events, and performance metrics into a single streaming mechanism.