MCP (Model Context Protocol) is an emerging standard for AI tools and resources. The standard is compatible with normal REST API servers, but adds extra metadata to describe tools, resources, and ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Samsung Electronics enters an AI-driven memory super cycle, securing key deals and supply advantages. Click here to read my ...
"Grounded AI is non-negotiable, because accuracy isn’t optional when we’re doing million-dollar transformation projects within the SAP ecosystem." ...
Morning Overview on MSN
OpenAI admits its new models likely pose high cybersecurity risk
OpenAI has drawn a rare bright line around its own technology, warning that the next wave of its artificial intelligence ...
The Cumulative Value Days Destroyed (CVDD) metric has historically called Bitcoin price cycle lows almost to perfection across every cycle since Bitcoin’s inception. This metric begins with Coin Days ...
Closing the visibility gap as AI assistants like ChatGPT, Gemini, and Perplexity drive more customer calls. Marchex® (NASDAQ: MCHX), which harnesses the power of AI and conversation intelligence to ...
Marchex® (NASDAQ: MCHX), which harnesses the power of AI and conversation intelligence to provide actionable insights derived from prescriptive vertical-market data analytics, today announced a new ...
Virginia-class nuclear-powered attack submarine USS New Hampshire (SSN-778) arrived at Norfolk Naval Shipyard, Va., on Sept. 3, 2025. US Navy photo This post has been updated with addional information ...
Abstract: The paradigm of using large models as evaluators (LLM-as-a-Judge) has shown potential in multiple tasks, but has not been fully explored in tool invocation scenarios, especially for ...
Tool-space interference occurs when adding an otherwise reasonable agent or tool to a team or agent reduces end-to-end task performance. We study the phenomenon in an analysis of 1470 MCP servers and ...
LLM: "Call get_expenses(employee_id=1)" → Returns 100 expense items to context LLM: "Call get_expenses(employee_id=2)" → Returns 100 more items to context ... (20 employees later) → 2,000+ line items ...
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