Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be ...

As AI deployments scale and start to include packs of agents autonomously working in concert, organizations face a naturally amplified attack surface.

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.

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

A technical preview promises to take on the unrewarding work in DevOps, but questions remain about controls over costs and access.

Do you know what LLM even is? How about a GPU? A new vocabulary has emerged with the rise of AI. From AGI to prompt engineering, new terms and concepts are being created seemingly every day. Use this ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Some believe that AI firms of generic AI ought to be forced into leaning into customized LLMs that do mental health support. Good idea or bad? An AI Insider analysis.

Qwen3-Coder-Next is a great model, and it's even better with Claude Code as a harness.

RPTU University of Kaiserslautern-Landau researchers published “From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs.” Abstract “This paper presents an LLM-based ...