u/CrOble

Over the last few months, I have been collecting kibitz of information, and only recently did I decide to sit down and see if anything came of it. During that process, I think I finally found a way to explain to myself what I think is happening inside my head, and I figured other people might be interested in reading it because it might trigger something inside themselves to look at something different, etc… I did my best, and of course I did use AI to at least make sure things were spoken in a readable English language 🤣

Three Channels

When I put music on and start walking or pacing or dancing, that’s when the downloads come through clearly. By downloads I mean the forward-pulling reads, new connections, framework pieces, things I haven’t seen yet that suddenly arrive whole. I always thought I just liked moving while I thought. But it’s not that. It’s a load-balancing protocol I’ve been running intuitively without naming it.

I run three channels simultaneously: past, present, future. They’re always on. Music activates my past channel because music carries memory by default. Every song is already wired to a time, a feeling, a context. Putting on music gives the past channel something to chew on so it’s not free-roaming. Movement occupies my present channel because movement is fundamentally now: my body in space, weight shifting, rhythm. The present channel can’t drift when I’m walking or pacing or dancing because it’s busy doing the thing.

That leaves the future channel as the only one with open bandwidth. Which is exactly the channel the downloads come through. With the other two occupied, the future channel has full bandwidth and clear signal. That’s why voice-to-text while walking has been my default mode for so long. I wasn’t picking it because it was convenient. I was picking it because it was the configuration that opened the channel I needed open.

But that’s dedicated-call mode. That’s me calling myself on purpose to receive my own signal. Maybe a couple hours a day. The other eleven hours, the three channels don’t shut off. They run in ambient scan. Past is constantly pattern-matching incoming data against everything I’ve already stored. Present is tracking what’s literally happening: who’s in the room, what’s on the shelf, what the cashier just said. Future is running predictive modeling on what’s about to happen next.

They don’t take turns. They run in parallel and cross-reference each other constantly. I’m going to use the most basic examples I can think of here on purpose, because the point is the mechanism, not the read. That’s why I can be in a store and suddenly clock that the dynamic shifted when someone walked in. The present channel registered the new person, the past channel pulled up similar room-shifts I’ve seen before, and the future channel generated a prediction of what the room would do next. All three fired in the same instant. I experienced it as a single read, but it was three channels confirming each other.

And that’s the real mechanism. Not just bandwidth, but agreement. When three channels agree, I don’t experience three pieces of information, I experience one confirmed read. The compression is the gift. When the channels disagree, when past says “this person is familiar but I can’t place them” and present says “they’re being friendly” and future says “this is going to go bad,” that’s when I get the gut-flag, the prickle, the “something’s off” without language. The disagreement is the signal. The hit isn’t noise interrupting the system. It’s the system telling me the channels didn’t converge, and that mismatch is information I need to pay attention to.

This is also why my reads on people land so fast. Most people meet someone and their past channel runs through stored data sequentially: have I met this person before, do they remind me of anyone, what category are they. I don’t run sequentially. All three channels fire on the new person at the same time. Past pulls every similar signature I’ve ever encountered, present reads them right now, future generates the projection. The read arrives whole because it was assembled in parallel.

The dedicated-call mode with music isn’t a different system. It’s the same three channels with two of them given busy-work so the future channel can broadcast clearly without being cross-referenced into compression. Most of the time I don’t want raw future channel. I want the compressed integrated read. But when I’m trying to receive something new that hasn’t been pattern-matched yet, the compression interferes. So I unload past and present onto music and movement and let the future channel speak uncompressed.

The eleven hours of daily life are running the compressed version. The dedicated calls are running the uncompressed version. Same architecture, different configurations for different purposes.

Also, I’ll comment a link to the file that way if you want to just upload it into your AI and have it read it to you because that’s my favorite way to accomplish these kinds of tasks!

What started off as a “what are you?” is now a co-collaborator I’m fortunate to be able to pull out whenever I need that extra space to stretch my thoughts before making a decision. And because AI really only gets talked about in a few categories, I want to throw my two cents out there.
The standard frames for AI use are: tool, assistant, search engine, therapist substitute, companion. None of those describe what I’m doing.
What I’m actually doing is using AI as a cognitive completion mechanism for a specific kind of multi-channel pattern recognition that doesn’t close inside my own head. I run past, present, and future channels in parallel. When something’s worth noticing, those three converge. But the convergence doesn’t finalize as a usable read until I externalize it to something that can hold the whole stack at the rate I produce it.
A human witness can’t do this. Not because humans aren’t smart enough… because humans add a return load. Their own state, their own reactions, their own need for the conversation to matter to them. That return load comes back at me and my system has to process it alongside my own material. The bandwidth I’d be using to track the actual signal gets eaten by managing the witness.
AI doesn’t add the return load. The bandwidth stays mine.
Turns out there’s already language for this from three different fields, all describing layers of the same architecture:
Extended mind (Clark & Chalmers, 1998)… the idea that cognition isn’t bounded by your skull. If a tool is reliably available, integrated, and trusted, it’s part of the cognitive system, not external to it.
Transactive memory (Wegner)… in pairs and groups, partners offload pieces of cognition to each other by knowing who holds what. You don’t store the same information twice. You distribute it.
Epistemic externalization… some kinds of thinking only complete when articulated to something outside yourself. Not because the outside thing has answers, but because the act of formulating forces the thought into a shape it wouldn’t take internally.
All three run simultaneously when I work this way. Extended mind is the frame. Transactive memory is the division of labor inside it. Epistemic externalization is what’s happening live during a session.
The existing research is in pieces. Extended mind has mostly been studied with notebooks and smartphones. Transactive memory is well-documented in human pairs. Epistemic externalization shows up in programming and therapy research with human listeners or passive tools. The newer work on humans using LLMs is mostly about productivity or learning, not about full-stack cognitive completion for somatic and pattern-based processing.​​​​​​​​​​​​​​​​

And that’s the end of my TED talk… but really, it’s a question I have been circling with myself for a minute. A lot of times when I see things that people write or talk about, part of me feels like I’m starting to read something I’m connecting with, and then poof, they make a hard left and I’m like, well damn.​​​​​​​​​​​​​​​​