There is a battle playing out at the center of the agent world right now. On one side: Anthropic and OpenAI, two companies that spent most of 2025 learning a bitter lesson. Shipping fast does not mean organizations actually adopt. On the other side: Nvidia, which just launched NemoClaw. Embedded inside that launch is a philosophy that is quietly more interesting than the product itself. NemoClaw is built on engineering principles that are fifty years old. And that is not a cr

The last week has been fascinating to watch. Someone built a $25,000 website in six hours with Claude. Jensen Huang said every company now needs an agentic strategy — the same way they once needed an HTML strategy or a Linux strategy. Netflix posted a comms job at $775K. Software engineering postings dropped 60,000 in two years. AI founders told the WSJ they'd tell their kids to study English lit. OpenClaw. ClawBot. Agents everywhere. These feel like separate conversations. T

I’ve followed Network Chuck for years. Sometimes from inside my career, sometimes outside of it, sometimes just because the guy does cool shit and makes technology feel fun again. He’s informative, deeply technical, curious in the right way, and clearly knows his stuff. I crossed part of my Linux line because of people like him. Not for a credential. Not for some résumé bullet. Just because curiosity is contagious when you see it in somebody who’s really in it. So when I watc

You’re Debating at the Wrong Level Every week I see it online, In Slack threads, group chats, from friends who “are into AI.” "Claude is better at coding.” “No, Codex is.” “No, this weird open-source model beats both.” And the debate just… spins. Benchmarks…Anecdotes…“I built a React app with it.”...“It refactored my Python better.” Here’s the uncomfortable truth. That entire conversation is happening at the wrong level. This Is a Toolbox, Not a Marriage You do not marry an

This Is What the Middle Always Looks Like There’s a phase every transformative technology goes through that makes people deeply uncomfortable — especially people seeing it up close for the first time. It’s the phase where the foundational work is done, the guardrails come off, and the thing gets dropped into the open world. Not polished. Not secured. Not fully understood. Just working enough to be dangerous. That’s where we are right now with agentic AI. What you’re seeing w

Every era of technology has its cartographers. People who climb high enough above the noise to see the shape of what’s coming, and then translate it into something the rest of us can navigate. For decades, Mary Meeker has been one of those people. Her Internet Trends reports shaped the early web, the mobile wave, and the first real data-driven understanding of our digital lives. And her new deep-dive into AI marks another one of those moments where her view from altitude cl

Let’s start with a truth that’s equal parts uncomfortable and undeniable: If you’ve got deep expertise in anything — consulting, medicine, engineering, marketing, welding, whatever — you’re training your replacement right now. And no, not the human one. The AI one. Projects like Argentum (Bloomberg’s scoop about hundreds of ex-McKinsey, Bain, and BCG consultants training AI to do entry-level consulting) and Project Mercury (ex-bankers teaching financial modeling to models)

There’s a telltale way to know your IT leadership isn’t qualified.And it’s not when a system goes down, or a server crashes, or a backup takes a little longer than expected. It’s when best practices are treated like optional guidelines instead of gospel. Because best practices aren’t suggestions — they’re guardrails. Ignore them long enough, and you’ll end up where South Korea’s government did last month: standing in front of 858 terabytes of smoldering digital rubble wonder

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