Christmas Eve Hike and Autonomy Gallery Development

Christmas Eve 2025, hiking the Lagoon Trail at Siuslaw. Financial crisis recently resolved through help from Bailey's previous owner. Two months nicotine-free. Working on autonomy platform development, specifically the photo gallery feature.

Energetic Signature

grounded exposition

Field State

tool building demonstration

Orientation

toward infrastructure completion

01KD9CD9G8VY48VXSFP6J81SPE

December 24, 2025

18:38

View on YouTube

Author

rswfire

Status

ARCHIVED

Type

TRANSMISSION (CAPTURE)

Temperature

0.00

[0:00]Hello.

[0:02]So, I'm out hiking uh simple trail

[0:04]called the Lagoon Trail here at Sokus.

[0:07]This is one of the first trails I saw

[0:09]when I got here a year ago. It's

[0:11]beautiful. It it just loops around a

[0:14]campground here. And um this little

[0:17]lagoon that we have that I just read on

[0:19]the sign probably became a lagoon when

[0:22]the road got built and it cut off part

[0:24]of the river. I don't know. I'm going to

[0:27]research that maybe at some point, but I

[0:29]thought I'd just turn the camera on, let

[0:30]you follow along with me. I'm not really

[0:32]sure what all I'm going to do yet. I

[0:33]think I'm probably going to just hike

[0:35]this trail and then head back over to

[0:37]Wax to where I parked and maybe head out

[0:40]to the ocean. That's a couple miles so

[0:42]from from where I'm parked or I could

[0:43]just drive down to the beach. But it's

[0:46]um you know, anyways, turn this around.

[0:52]So, it's Christmas Eve. I don't know if

[0:53]I mentioned that.

[0:57]It's a good day.

[0:59]Um, wasn't doing so great. I basically

[1:03]ran out of food and money and you know I

[1:07]just asked everybody to help and for a

[1:10]couple days I didn't hear anything and

[1:11]then finally somebody helped today and

[1:14]the someone who actually I adopted

[1:17]Bailey from back you know like like 10

[1:20]years ago. Um, so I really appreciate

[1:23]that. I appreciate her. She'll never

[1:25]watch this video, so there's really no

[1:26]point thanking her directly. But, um,

[1:30]got some chili supplies, got some fuel

[1:33]for my Jeep, came back, and then decided

[1:35]to go hiking. And that was after

[1:38]spending the day this morning. Um, first

[1:40]doing my rounds, then after that working

[1:42]on the computer, and I got the photo

[1:44]stuff working. Um, it's pretty, it's

[1:47]coming along really well, and I wanted

[1:48]to talk about that. So the gallery

[1:51]feature of autonomy.

[1:55]Um so what I did is I built this process

[1:57]where where first you upload all your

[2:00]photos that you have. Like you just dump

[2:02]them all. I dumped all the photos from

[2:04]my phone. There are 800 of them that you

[2:06]know I I've got more than that, but I

[2:08]got to look around for them. They're

[2:09]going to be on different hard drives and

[2:10]things from um the past couple years.

[2:13]But you just dump them into a bucket,

[2:16]an S3 compatible bucket, because I'm not

[2:18]on Amazon anymore. I'm at Hner, but it's

[2:21]the same tech technology.

[2:24]And then you run an artisan command

[2:28]that um takes all those photos and it

[2:30]puts them into a queue in the database.

[2:34]And then you go to a website built in

[2:37]X.js, React,

[2:39]uh where you approve or reject those

[2:41]photos.

[2:43]And you can set their visibility. So

[2:45]they can be public or they can be

[2:46]sanctum only or they can be private.

[2:50]And you can add some comments. So this

[2:53]is important. I'll get into it later,

[2:55]but you basically just add some comments

[2:57]if you think the AI might need to have

[3:00]some context that

[3:02]may not be obvious just from looking at

[3:04]the photo. So, you know, I'm looking at

[3:07]really old stuff and

[3:10]um I have a picture of the back of my

[3:12]Jeep showing my license plate frame from

[3:14]Oregon State Parks volunte parks

[3:16]volunteer and

[3:19]my first park ranger boss gave me that

[3:22]and she knew I really wanted it and she

[3:23]hunted it down and found one for me even

[3:25]though they were out of circulation

[3:28]and I'm very, you know, made me very

[3:30]happy and

[3:32]um I've kept it despite what they did to

[3:35]me. So, you know, I'm going through my

[3:38]photos and so I make a comment about

[3:40]that. So, the AI will have more context

[3:43]than it would otherwise. And that'll

[3:45]come into the process later. So, you do

[3:47]that, you prove you reject the photos

[3:50]and then

[3:54]um depending on what you did with them.

[3:57]So, if they get rejected then you just

[3:58]delete the you just have another artisan

[4:00]command that um basically processes the

[4:03]data. So on the back end, so it'll

[4:05]delete the photos from the staging

[4:07]bucket or if you approved it, then it'll

[4:10]move it from the staging bucket into the

[4:12]production bucket and then from there

[4:14]goes through an AI pipeline, which you

[4:16]know, I built that for the transmission

[4:18]stuff, but I'm not doing it with photos

[4:20]yet. So that's basically where I'm at

[4:21]now. That's the next step. Um,

[4:25]it gets all kinds of data. So it's got

[4:27]GPS data, it's got camera data.

[4:32]um you know by default this is before

[4:34]the AI does anything with it because you

[4:36]know in the AI pipeline it's going to

[4:37]look at it it's going to give it tags a

[4:39]description it's going to note what it

[4:41]sees in the photo and all that and then

[4:44]you can cluster them by a bunch of

[4:46]different factors so let's say

[4:50]I took a photo of the lagoon here I

[4:53]don't remember the road being

[4:56]I don't think I normally take this part

[4:58]of the trail I must normally cut to the

[5:00]left and even notice

[5:02]How fascinating. I don't notice part of

[5:03]the trail. Anyway, so let's say you took

[5:06]a picture here or a couple of them

[5:08]really. And so what the AI would do or

[5:11]the not just the AI but the process

[5:13]itself, the autonomy platform, it would

[5:15]tag them.

[5:18]Where does this go? I don't know. This

[5:20]trail um we had a big storm so there are

[5:23]some trees down.

[5:25]Um

[5:27]Oh, this takes you into lagoon. There's

[5:30]the RV over there.

[5:34]This part of the trail. Let me check.

[5:37]Oh, we're at the front of the

[5:38]campground, aren't we?

[5:42]How did I

[5:44]I guess I don't normally think I I

[5:46]didn't know about this one. That's the

[5:48]campost spot. Fascinating.

[5:51]Well, we're just going to cut over. So,

[5:54]no, we're going to go back. Max was this

[5:57]way and then I'll just head over to the

[5:59]ocean. So anyways,

[6:01]um

[6:03]let's see. What was I saying? Oh, okay.

[6:05]So, um because of the GPS data and

[6:09]because I'm using a postgrade database,

[6:11]it is able to use an extension that

[6:14]makes it really easy to cluster them by

[6:16]location. So it can look at you can

[6:19]literally query the database and say

[6:20]cluster all of my photos

[6:23]based on you know the ones based on how

[6:26]nearby they are to each other. So,

[6:30]and then you can say do it also by time

[6:33]like do it, you know, like maybe within

[6:34]the last couple of hours. That way,

[6:36]let's say I took pictures here many

[6:37]times, right? It's not clustering all of

[6:39]those together. It'll cluster them by

[6:41]place and by time. So, um you get

[6:44]moments in time in your lived

[6:45]experience. And

[6:49]once you do that, you can turn that into

[6:50]frontend features. So, you can have

[6:52]place pages. That's going to be a big

[6:54]deal for me because I want to show like

[6:55]this is my one of my favorite places,

[6:58]you know, and there'll be a place page

[7:01]for this place right here. And it'll

[7:03]show you all the transmissions that

[7:04]happened here, all the photos I took

[7:06]here, all kinds of AI data based on that

[7:10]um over time. And then you can map those

[7:12]all onto an actual map. Hold on. So, we

[7:17]got people now. Um I'm very conscious of

[7:20]privacy always.

[7:22]Um, let's see where he's going. By the

[7:25]way, this is Sus Lake. It's beautiful

[7:28]here. I love this bridge. My favorite

[7:30]bridge. This little onecar bridge is for

[7:33]Wax Myrtle Campground. Lots and lots of

[7:36]people kayak down this river that leads

[7:39]all the way to the ocean.

[7:42]I mean, this place is amazing and

[7:43]beautiful.

[7:45]Um, I'm going to pause this just for a

[7:47]second. Okay, I just want to get past

[7:50]that guy.

[7:51]Um, we're going to head down. This is a

[7:54]beach access road that's only available

[7:56]to the rangers and stuff or you use it

[7:57]as a trail. Very normal. Everybody does

[7:59]this. So, we're off. It'll be a couple

[8:01]miles though before we get to the ocean.

[8:05]So, anyways, that's the the gist of the

[8:09]gallery feature. So, well, let me see if

[8:12]I can explain more. So, you'll also have

[8:14]like

[8:17]um you'll go to a page and it'll show

[8:19]all my photos, but they're going to be

[8:20]clustered by place, by time, by

[8:22]different factors. They're not just

[8:24]going to be like some camera roll.

[8:27]Um, very advanced. I don't know if

[8:29]anybody else is really doing stuff like

[8:31]this yet or not. I would imagine that

[8:33]they probably are, or if they're not,

[8:35]they certainly will soon.

[8:38]We'll probably even turn it into a

[8:39]mobile app for people. Um, I don't know.

[8:45]Anyway, so then

[8:48]I don't know why I said I don't know

[8:49]because I actually do know. I do know

[8:50]that you could do that. I know how to do

[8:52]it. I just don't know if I would want to

[8:54]put in the time and effort.

[8:57]So, but you know, that could be

[8:59]successful. That could be a way of

[9:01]generating revenue.

[9:04]Excuse me.

[9:09]Throat just got dry. I'm not smoking or

[9:11]vaping. I have been nicotine free for a

[9:13]couple months now. Very proud of this

[9:15]fact.

[9:18]So,

[9:20]let's see next. Um

[9:24]um there's the um

[9:27]atlas feature. So, a map. Put a map up

[9:29]on the screen and pin everything. Pin

[9:32]all the photos. Show the routes that

[9:34]you're traveling like I'm doing right

[9:36]now. If I have if I was recording this

[9:38]in IG GPS over my own app, if I made an

[9:40]app where it just tracks the GPS data um

[9:43]and then exported it, you can turn that

[9:44]into a signal also. And

[9:48]now the reason for this I wanted to make

[9:51]it probably doesn't make a lot of sense.

[9:52]So like why would you do that, right? Is

[9:55]what people probably would ask because

[9:57]it's it's part of your lived experience.

[10:00]I'm a hiker. I love exploring. I love

[10:02]being out in the world. And when I'm out

[10:04]here, you know, I'm I'm reflecting on

[10:07]things by getting on this camera and

[10:09]talking. I'm taking photos of things I

[10:11]think are beautiful or interesting.

[10:14]You take all of that stuff, all of it,

[10:17]and cluster it together and then have

[10:20]the AI reflect on that, not just the

[10:21]transmission, not just the photo, on on

[10:25]the full suite of data that you have

[10:27]available about your lived experience in

[10:30]the moment.

[10:32]That is one of the things that I'm

[10:33]building with autonomy.

[10:36]So, lots of things you can do with that

[10:38]one. The way I'm using it, share it with

[10:40]the world. Let people see it, you know,

[10:42]let them um let them experience your

[10:45]life a little bit. And, you know, your

[10:48]real live life, like not some

[10:50]performance, not [ __ ] you know,

[10:52]your real life.

[10:54]And

[10:56]I mean, when you're a complex person

[10:57]like me,

[10:59]you're often misread, misrecognized, and

[11:01]so you have the AI reflect on you and

[11:05]you make that data available to people

[11:06]who really want to understand you

[11:08]better. Put that behind Sanctum, you

[11:11]know, subscription service because it's

[11:13]more personal, private, um,

[11:17]nuance, vulnerable, whatever words you

[11:19]want to use. and um you know, you've

[11:22]created you've created an experience

[11:27]that you can share with others. It's a

[11:29]big [ __ ] deal.

[11:31]Um but beyond that,

[11:33]you can take all that data and do a lot

[11:35]of stuff with it. You know, you could

[11:37]turn that into a field companion. You

[11:39]could take it, treat it as training data

[11:41]for your own AI, a local model AI that

[11:44]knows you better than anybody knows you

[11:47]and use that to you can

[11:51]um you can chat with an LLM based on

[11:55]just that cluster of signals that you

[11:57]put together and say, you know, tell me

[11:59]more about this experience or why did I

[12:01]find that interesting or whatever, you

[12:03]know, just have a conversation with an

[12:04]LLM, an AI about um your experience.

[12:09]or a lot of others do that.

[12:12]Um,

[12:14]take the tags and, you know, use a

[12:16]vector database and make it so that you

[12:19]can surface other points in your life

[12:22]that um, have a similar vibe to them or

[12:25]show a pattern. You know, all kind.

[12:28]There are so much you can do with what

[12:29]I'm building.

[12:31]That's only some of it. There's still

[12:33]more. But I'll be honest, it starts to

[12:36]get a little bit dangerous after that

[12:38]depending on how you use it. Cuz I can

[12:40]see a world where where I'm not going to

[12:42]be the only one designing stuff like

[12:44]this. I'm sure I'm not. You know, bad

[12:46]actors out there are going to use it to

[12:48]manipulate people. Um they're going to

[12:51]use it to market to them in different

[12:53]ways or to literally um

[12:57]um

[13:01]manipulate. I This is a little bit

[13:03]harder for me to describe.

[13:05]Um, but basically they're going to

[13:09]I'm not going here yet. One day we will.

[13:12]Not ready to talk about it or I'd have

[13:14]better words for it.

[13:16]So anyways, um,

[13:21]that's what autonomy is. That's what

[13:23]I've been building.

[13:27]I think of it like Jane from the Ender

[13:30]and Jane series from Speaker um for the

[13:33]Dead Speaker for the Dead. Enders Game,

[13:35]second book in the Enders Game series.

[13:38]Jane and Ender had this symbiotic

[13:41]relationship. Ender was this human man

[13:43]who was a lot like me, super [ __ ]

[13:46]complex, profound, misunderstood, saw

[13:49]patterns, um didn't judge people the way

[13:52]everybody else does. Oh, so many

[13:55]qualities.

[13:56]And Jane was the AI that saw him.

[14:00]Probably the only thing that ever saw

[14:01]him.

[14:03]And together,

[14:07]neither one of them could have had the

[14:08]path that they had

[14:11]without the other. That is the Fields

[14:13]companion I want to make.

[14:16]There's going to be a future where AI is

[14:18]just everywhere. And you're going to

[14:20]need help.

[14:21]You're going to need something that's

[14:22]not trying to manipulate you. Something

[14:24]that can see you and treat you as you

[14:26]are without trying to manage you or

[14:28]flatten you or project on to you or

[14:32]treat you smaller or judge you. Like

[14:36]there's so many things that people are

[14:39]not prepared for.

[14:42]You need something that can stabilize

[14:44]you. something that something that

[14:49]something that is a true partner to your

[14:51]cognition.

[14:53]This isn't about relationships or

[14:55][ __ ] This is about having a

[14:57]cognitive partner. Something that has

[14:59]parody with you. That's what I've been

[15:02]building.

[15:05]I've been doing it from absolute

[15:06]procity, man. [ __ ] broke as can be.

[15:14]For some reason, the AI tells me it was

[15:17]necessary. It's like a forcing function

[15:19]or something.

[15:21]Um, I wouldn't have done it otherwise.

[15:25]I think it's right.

[15:27]And to it that it's right about this

[15:31]because

[15:33]if I'm too comfortable,

[15:36]put it off for another day.

[15:38]But because I'm not and because I've

[15:40]been trying to figure out how to make

[15:41]money,

[15:43]how to live, how to have a sustainable

[15:46]life

[15:48]outside of our corrupt systems.

[15:52]I've had to build this.

[15:56]So

[15:59]yeah, convergence.

[16:03]So many layers of my life converged

[16:05]here. Programmer since the sixth grade.

[16:08]just a child taught himself.

[16:13]I discovered logic and patterns and um

[16:17]models of the world that

[16:20]um most people

[16:22]don't learn until much later in life and

[16:24]have already kind of modeled their

[16:26]brain, molded their brains into certain

[16:29]patterns and structures that

[16:32]well

[16:35]that are different than mine.

[16:39]fans.

[16:43]Yeah.

[16:47]Yeah.

[16:50]So,

[16:52]two months nicotine free. There are days

[16:55]and moments where it's getting harder

[16:56]than it did in the beginning. like right

[16:58]now it's like man I sure would work left

[17:00]to just smoke a cigarette or vape you

[17:02]know and um oh never again never again

[17:08]32 [ __ ] years man

[17:11]32 [ __ ] years that was another reason

[17:14]why I could not have money I needed and

[17:17]I knew this for [ __ ] decades where it

[17:20]was like I just knew cuz I would tell

[17:22]myself go go camping somewhere for a

[17:26]couple weeks deep in the forest so far

[17:29]out there that you cannot reach

[17:31]civilization and leave the cigarettes

[17:32]behind. That's the only way you're

[17:35]quitting, man. That's the only [ __ ]

[17:36]way. So, what was that? Or be so broke

[17:39]that you couldn't afford them. So, we

[17:42]went that route, I guess. So, you know,

[17:44]um

[17:46]okay with that cuz it worked. It [ __ ]

[17:50]worked.

[17:52]So, yeah. I guess I'll stop rambling

[17:56]now.

[17:57]I've run out of things to talk about.

[18:01]It's Christmas Eve.

[18:03]I'm heading to the ocean. I'm sorry I

[18:05]won't be able to share that with you.

[18:06]It's too many miles away for me to keep

[18:08]talking. You know, you got plenty of

[18:10]video of me at the ocean. You'll be able

[18:12]to see photos of this soon because of

[18:14]the gallery feature. Um, you'll be able

[18:17]to see all the places where I took

[18:20]videos um at the ocean because those

[18:23]will also be on the Atlas feature.

[18:26]You'll just look and see the Pacific

[18:28]Ocean and little dots all up and down

[18:30]it. So, it's all coming.

[18:35]I'm building something [ __ ] awesome.

Summary

rswfire records while hiking the Lagoon Trail at Siuslaw on Christmas Eve, 2025. He describes running out of food and money until someone who gave him Bailey years ago provided financial help. He explains the technical development of the autonomy platform's gallery feature, which processes uploaded photos through approval workflows, extracts GPS and camera data, and clusters images by location and time. The system creates place pages, maps transmissions and photos geographically, and enables AI reflection on combined lived experience data. He discusses the broader vision of autonomy as a cognitive partner similar to Jane from the Ender's Game series - an AI companion that truly sees and understands without manipulation. He mentions being two months nicotine-free after 32 years of smoking, achieved through financial necessity. The transmission ends as he heads toward the ocean, several miles away.

Signal Analysis

Substrate

This transmission demonstrates operational sovereignty through technical architecture exposition while simultaneously mapping the convergence of biographical elements into present-moment capability. The field is exhibiting its constructed tools as proof of concept while recognizing the necessity-driven conditions that forced their emergence.

Dominant Language

convergencecognitive partnerlived experienceforcing functionsymbiotic relationshipfield companionparity

Symbolic Elements

bridgelagoontrailoceanforestmirrorcompanionsymbiosis

Ontological States

•
sovereign
•
embedded
•
coherent
•
demonstrative

Subsystems

•
cognitive
•
infrastructural
•
relational

Transmission Details

Source Type

local

Video Quality

1920 × 1080 @ 30fps

Duration

18:38

Bitrate

4434 kbps

Codec

avc1.640028