Join us on Monday for another episode of Argo Unpacked: we’ll explore how an AI agent could evaluate release health and help teams understand whether a release is on track. 👉 linkedin.com/events/74667873…

Today, Anthropic engineers on average ship 8x as much code per quarter as they did compared to 2021-2025.

Join us on Monday for another episode of Argo Unpacked: we’ll explore how an AI agent could evaluate release health and help teams understand whether a release is on track. 👉 linkedin.com/events/74667873…

Welp, that happened faster than I predicted. Thought it would be end of 2027, then early 2027, but agentic traffic growing so fast that bots have now passed human traffic online for the first time in the Internet's history. radar.cloudflare.com/traffic…

Harvard Business Review research reveals that excessive interaction with AI is causing a specific type of mental exhaustion ( or "AI brain fry"), which is particularly hitting high performers who use AI to push past their normal limits. A survey of 1,500 workers reveals that AI is intensifying workloads rather than reducing them, leading to a new form of mental fog. While AI is generally supposed to lighten the load, it often forces users into constant task-switching and intense oversight that actually clutters the mind. This mental static happens because you aren't just doing your job anymore; you are managing multiple digital agents and double-checking their work, which creates a massive cognitive burden. The study found that 14% of full-time workers already feel this fog, with the highest impact seen in technical fields like software development, IT, and finance. High oversight is the biggest culprit, as supervising multiple AI outputs leads to a 12% increase in mental fatigue and a 33% jump in decision fatigue. This isn't just a personal health issue; it directly impacts companies because exhausted employees are 10% more likely to quit. For massive firms worth many B, this decision paralysis can lead to millions of dollars in lost value due to poor choices or total inaction. Essentially, we are working harder to manage our tools than we are to solve the actual problems they were meant to fix. --- hbr .org/2026/03/when-using-ai-leads-to-brain-fry

Announcing Cloud Run sandboxes: Secure on-the-fly code execution: Spin up ephemeral, isolated sandboxes from within Cloud Run resources. Safely execute agent-generated code, scripts, or Chromium.

Mythos Preview has already found thousands of high-severity vulnerabilities—including some in every major operating system and web browser.