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AI Agent Governance: The Missing Piece of Autonomous IT

AI agents are making decisions, accessing systems, and resolving issues autonomously. But as organizations deploy more agents, one challenge becomes impossible to ignore: governance. Who has access? What changed? Who is accountable? The future of Autonomous IT requires autonomy with accountability.

TikTok Challenges: Trend or Danger? What Every Parent and Teen Should Know

Everyone seems to be doing TikTok challenges—but are they always harmless? From positive movements like the Ice Bucket Challenge to risky viral trends that have led to serious injuries, social media challenges can influence how teens think, behave, and seek attention online In this video, we'll explore: 0:00 Why teens are drawn to TikTok challenges & The hidden pressure of fitting in and going viral.

Beyond tokens per watt - using Ubuntu 26.04 LTS for AI

Tokens per watt (TpW) – the measure of useful AI work produced per watt of energy consumed – is the metric at top of mind for CEOs, heads of AI, and infrastructure teams alike. With the tremendous cost of GPU clusters, extracting as much value as possible from the expense is critical. But in the pursuit of tokens, it’s important to remember that hardware efficiency isn’t the only factor influencing data center operating costs, or the output of useful, revenue-generating AI work.

Bridging AI and Infrastructure: Introducing the Megaport MCP Server for Agentic Networking

Discover the Megaport MCP Server and how it enables AI-powered, agentic networking through natural language access to network infrastructure. By Miwa Fujii, Community Manager - Terraform and Ryan Tucker, Solutions Architect In the cloud networking era, we’ve moved from manual configurations in the Portal to Infrastructure as Code (IaC), Terraform. But the next frontier isn’t just code, it’s intelligence. We are pleased to announce the release of the Megaport MCP Server (Open Beta).

Checklist: how to reduce environment drift without slowing devs or AI agents

Environment drift persists when teams standardize code but leave infrastructure, data, and access decisions to individual teams and manual setup. Most teams know their environments are not identical. What they underestimate is how quietly the gap widens. A database version is out of sync between production and staging; an environment variable is added manually to one server but never tracked; a cron job runs in production but was never captured in the dev config.

Why Engineers Don't Trust Autonomous AI - 4th Annual Observability Survey | Grafana Labs

The 2026 Observability Survey from Grafana Labs heard from over 1,300 engineers and leaders across 76 countries on the real-world role of AI in observability. The data reveals a sharp distinction between intelligence and autonomy — and a critical blind spot most teams have.

Asimov's Zeroth Law of Robotics: testing and observing AI (ExpoQA 2026)

Asimov's Three Laws of Robotics are missing one — and when it comes to testing and observing AI, Nicole van der Hoeven argues that missing rule changes everything: before a robot can avoid harm, obey orders, or protect itself, there has to be a Zeroth Law: a robot must be observable. Because if you can't see what a system is doing, you have no way of knowing whether it's following any rule at all.