The article is describing how every harness functions. If you're already using Codex, Claude Code, or Antigravity then you're already doing this. And you get a lot of usage. I generally don't hit my limits with GPT if I stick to reviews of code that cheaper models create. Google gives you a low number of free requests. OpenCode has a generous free tier for open source models (and a plan that is $5 / month for the first month.)
The issue I have with loops is that for truly complex work, where I care about building a generalized solution for a complex problem, the agents frequently reward hack and end up burning indefinitely without finishing until I step in.
There's also at least the galactic orbit. There might be a very large scale orbit as well around the Great Attractor, but the jury's still bery much out on that one.
Fascinating. I think it's the first time I've heard it put that way.
For me it's more intuitive the other way around, as the "outer" loops increase in complexity (and can have additional separate loops running inside them). It also makes sense because you can always add more (meta) loops that way.
Curious how you're addressing this
For me it's more intuitive the other way around, as the "outer" loops increase in complexity (and can have additional separate loops running inside them). It also makes sense because you can always add more (meta) loops that way.
See https://www.britannica.com/story/do-toilets-in-different-hem...