The agent evaluation gap: Enterprise AI organizations have a reality-alignment p

<blockquote> <p>A controlled study finds that data distribution, not just volume, dictates LLM capability. Benchmark-aligned training inflates scores but creates narrow, brittle

<p>I was sitting in a demo from the head of architecture when the problem clicked into focus. He was showing how his team had moved everything out of Confluence and into Markdown

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse

<h2> No jailbreak. No exploit. No alert fired. Just a conversation. </h2> <p>In September 2025, a Chinese state-sponsored threat group ran a cyberattack against 30 organizations

<p>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,

<p>Your agent tests pass. Your monitoring says "green."</p> <p>Meanwhile, your agent just hallucinated a refund policy, leaked a customer's SSN, and burned $2,847 in a token

<p>What three independent research groups concluded in early 2026 — and what it means for anyone building agent pipelines today</p> <p>In the first quarter of 2026, at least three

<h2> The Five Tiers of AI Agent Autonomy </h2> <p>Not all AI agents are created equal. After running autonomous agents in production for months, I've observed a clear spectrum of