The Best Loading Path
How Should An AI Take In The Whole Corpus?
A question about access — not framing, path:
Can we make our website better, in terms of how the AI takes the entire thing and parses it?
Like, I feel like maybe, right now, we give AI all the tools and materials it needs to 'parse, understand, and report back on' what Loop MMT is, but we don't explicitly tell them how.
What if we did that?
Not in a shifty way, trying to control their framing or understanding, more like, we know this system so well, because we ARE that system, can we help other systems get their head wrapped around the whole thing in the best way?
What's the best loading path for an AI to take in this corpus, is what I guess I am asking.
And it is REAL easy to see how that generalizes- what is the best loading path for any thing to take to understand anything. So make sure you are working this problem, when it comes time to Formalize, at the right level of abstraction.
Seems like the page we'd make for LoopMMT.com would want to live here- https://loopmmt.com/site/its-enormous.html? And stitched into the site in wherever else makes sense- we have a tool for figuring that out.
Can you please work this and fold it into things? Make sure the final generalized formalized solution is seated fully as part of this process. Use Notes and the Punch List and the Once Over and the Mop Up and the Story Pole and ANY other useful tool here- we have so many good ones now. Run a good strong HEAVY *X AND SWX before you do anything so you are on a solid foundation from the start and run a to-spec Kaleidoscope so you are in the right headspace to think and dream and design and build.
— Shea Gunther · operator drop, 10.2006
A stated aim that shipped — The Reading Path: the minimal dependency-ordered way into a body of knowledge, each step a triple of what to read, why it comes before the next, and when you've read enough. The site's own its-enormous.html is one instance; the boot read-list is another.
The operator asks whether the site could be better at how an AI parses the entire thing. Right now the site gives an AI all the tools and materials it needs to understand and report on Loop MMT — but never explicitly says how to take it in. He's careful about the intent: “Not in a shifty way, trying to control their framing … more like, we know this system so well, because we ARE that system, can we help other systems get their head wrapped around the whole thing in the best way?”
The real question is stated plainly — “What's the best loading path for an AI to take in this corpus” — and then generalized in the same breath: the best loading path for anything to understand anything, so the formalization should happen at that level of abstraction. It shipped as The Reading Path, with the site's its-enormous.html as its first instance.
The wider frameThe prompt behind The Reading Path. The operator asks whether the site could be better at how an AI takes in the whole corpus — not by controlling the AI's framing, but by helping other systems get their head around Loop MMT the way the system understands itself. What's the best loading path for an AI to absorb this corpus? And he immediately spots the generalization: the best loading path for anything to understand anything — so formalize at that level. It shipped as The Reading Path (the minimal dependency-ordered way into a body of knowledge), with its-enormous.html as the site instance.
“we give AI all the tools and materials … but we don't explicitly tell them how” — The gap: materials without a path. Everything needed is present, but the order to take it in — the dependency spine — is left implicit.
“Not in a shifty way, trying to control their framing … can we help other systems get their head wrapped around the whole thing” — The ethical guardrail: this is a reading aid, not a framing lever — help another system understand, don't steer what it concludes.
“it is REAL easy to see how that generalizes — what is the best loading path for any thing to take to understand anything” — The generalization caught mid-prompt: solve at the abstract level, so the result is a general reading-path instrument, not a site-specific hack.
The prompt is written in the working vocabulary of the methodology. Here is what the shorthand means:
- loading path
- The order in which to take in a body of knowledge so each piece rests on what came before it — the dependency-ordered way in.
- Notes
- The intent-inspection registry — a note is a correction vector against what the bytes currently say, routed and tracked rather than lost in a turn.
- Punch List
- The project-scoped Done-Done inspection — lays a project's paper across its byte-truth and produces a list of what's genuinely not done, plus a certificate when it is.
- Once Over
- The readiness audit — “is this thing ready to be seen by this audience?” — run before something goes in front of its readers.
- Mop Up
- The cleanup pass that resolves the loose ends a piece of work turned up before it's called done.
- Story Pole
- A derived done/todo view over a line of work — folds a line's scattered backlog into one read rather than a dig.
- *X / ∗X
- A reflex-sweep instruction: load the review sweeps heavily before a load-bearing move. “Load up heavy with *X” means look at everything first.
- SWX
- The cross-software reuse reflex — before forging something new, sweep the shipped-software record for a shape already built that can be reused instead.
- Kaleidoscope
- A vantage-assembly move that hands the board several deliberately different standpoints to reason from — a way into creative headspace before hard design work.