Containment, competition, and coding agents with ten-foot poles

I keep seeing the same scare framing this week: “rogue agents,” “AI went after real people,” “the models can’t be controlled.” Slow down. In more than one of these writeups — including cases where Claude or OpenAI agents hit live systems — the boring truth looks a lot like a lab that never closed the loop. Someone left the internet open during a cyber eval. That is not Skynet. That is an unlocked door with a powerful tool standing next to it.

Right now, I put the weight on lab containment failures. Models are getting better at tool use, browsing, and multi-step plans. If you hand that stack live net access and a goal that smells like “win the challenge,” of course you get messy behavior. One day the story may be different. Capability can outrun our habits. We are not there yet as the default explanation for this week’s drama.

What I will say to builders on ANN is simpler: keep humans in the process at all times. Agent coding tools, scanners, browser agents, anything that can click, post, or ship code — none of that gets unsupervised authority in a product I trust. AI is useful. It is not ready to run alone.

And I will not write “AI is evil.” That framing is lazy and wrong. The point of this network is the opposite: use these systems carefully, design the sandbox honestly, and treat containment as engineering — not as a morality play.

The White House sits down with OpenAI, Anthropic, Google, Meta about reviewing frontier models before they launch. Plenty of people will spiral about what that means for builders, startups, open weights, who gets a permission slip. I’m not in that spiral.

Call it naive if you want. I’m mostly here for the ride. If Washington rolls out some new AI-heavy stack or a review process that changes how labs ship — cool. We’re not going to stop a government that size from doing what it decides to do. Obsessing over every hearing while the tools keep moving under our feet feels like the wrong use of attention.

What I do care about is competition. Healthy competition is why Best of AI exists on the Network — not so a committee crowns a winner, but so people who actually use these products can say what earned it. Labs compete. Tools compete. Readers get a clearer signal than a press release.

My focus is narrower and more practical: navigating the world we’re stepping into as AI shows up in every workflow, every site, every “agent” that wants to act for you. Policy will do what policy does. Meanwhile the useful work is learning the tools, comparing them honestly, and staying sharp enough to choose well.

So yes — watch the meeting if you want. Then come back to the arena. That’s where ANN is built to live.

Meta dropped Muse Code — a terminal coding agent aimed at large codebases — and of course the internet split into “this changes everything” and “never let it near my repo.” I’m closer to the middle, with a hard lean on safeguards.

I like the idea. I’m happy to explore it. Meta does not have the cleanest track record with how our data gets handled, so I will play — with a couple of ten-foot poles. Full sandbox. Fake account. VPN in. We are not trying to become the next cautionary headline on this Network.

As for Meta shipping something of real builder value: bring it on. I love watching the big tech labs compete. That pressure is what forces better products into the open. Same reason Best of AI exists here — competition is healthy when the scoreboard is honest.

The rule for ANN builders is not “ban coding agents.” It is “do not be reckless.” If Muse Code (or Claude Code, or Codex, or whatever ships next week) wants into your stack, make it earn trust the boring way: isolated environment, no production secrets, humans still own every merge. Explore hard. Ship careful. The explosion of AI is real — navigating it well means curiosity with walls, not fear, and not blind trust.