AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, ...

AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the ou ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...

The post OpenClaw Explained: The Good, The Bad, and The Ugly of AI’s Most Viral New Software appeared first on Android Headlines.

Anthropic’s Claude Opus 4.6 identified 500+ unknown high-severity flaws in open-source projects, advancing AI-driven vulnerability detection.

Discover Claude Opus 4.6 from Anthropic. We analyze the new agentic capabilities, the 1M token context window, and how it outperforms GPT-5.2 while addressing critical trade-offs in cost and latency.

According to the 2025 Stack Overflow Developer Survey, the single greatest frustration for developers is dealing with AI solutions that look correct but are slightly wrong. Nearly half of developers ...

Overview AI-generated code moves fast, but it lives in production for a long time, which makes strong monitoring essential ...

A powerful Model Context Protocol (MCP) server written in TypeScript that enables seamless integration between Claude AI and LiteLLM proxy instances. Manage models, API keys, and monitoring directly ...