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AI News

News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

4 articles

Developer

Microsoft's Agent Framework Harness Reaches General Availability, Shifting Focus From SDK to Runtime

Microsoft's Agent Framework Harness and Foundry Hosted Agents have reached general availability, shifting focus from SDK to runtime. The open-source harness wraps models to enable tool use, multi-step tasks, and persistence, running as one binary across environments. A VILA-Lab analysis of Claude Code suggests harness infrastructure dominates agent codebases, while Microsoft's benchmark highlights built-in safety controls.

Aug 37 minNeura News

Product Launch

ChatGPT Tests Bank Linking for Personalized Finance Advice

OpenAI is testing a feature for US Pro subscribers to connect bank accounts to ChatGPT and get analysis based on real financial data. The tool uses Plaid for connections to over 12,000 institutions and defaults to the GPT-5.5 Thinking model. It provides spending breakdowns and savings suggestions but offers read-only access with privacy controls.

May 153 minNeura News

AI Tools

Microsoft Deploys 100+ AI Agents to Find Windows Vulnerabilities

Microsoft launched MDASH, a security system with more than 100 specialized AI agents that detected 16 new Windows vulnerabilities, including four critical ones. The tool uses a four-stage process to analyze code and debate findings, achieving 88.45 percent on the CyberGym benchmark. Backed by experts from a DARPA challenge winner, MDASH is in limited preview.

May 143 minNeura News

AI Tools

VAKRA Benchmark Examines AI Agent Reasoning Failures

IBM Research details VAKRA, a benchmark that tests AI agents on reasoning and tool use in enterprise settings. It features over 8,000 APIs across 62 domains and four capabilities focused on API chaining, tool selection, multi-hop reasoning, and multi-source tasks with policies. Analysis shows models like GPT-OSS-120B lead but all struggle with complex workflows, as revealed in error breakdowns and performance charts.

Apr 155 minNeura News