Seeing Systems, Finding Home

Month: February 2026

Hallucinations

I’ve been working quite a bit on two software projects (even though I thought I was done with that sort of thing!).

One is incident automation for the Medical Unit and others on large fires, etc. – the kind of work I do on national incident management teams. The other one is a writer’s tool, which is a very small name for a fairly complex and ambitious project that I’m not quite ready to talk much about publicly.

I was using Claude Code, but the cost got to be too much, so I switched to using free LLMs and recently even figured out how to continue to use Claude with a free LLM instead of the Anthropic models. (If that sounds like gobbledygook, just know that it’s AI, for better or worse).

Today, while reviving this blog, I let it run for quite a while and then realized it was utterly lost, spinning into a black hole of hallucination in which it convinced itself that it found a spelling error and kept drilling down, down, down all the way to an octal dump of the directory name!

Coding with AI is interesting…

Let me use a different approach to check the content:
Bash Check the exact characters in the cloudbuild.yaml file
IN
od -c d:/MediaScaffold/servers/content-gatherer/cloudbuild.yaml
OUT
0000000 s t e p s : \n – n a m e :
0000020 ‘ g c r . i o / c l o u d – b
0000040 u i l d e r s / d o c k e r ‘ \n
0000060 a r g s : \n
0000100 – ‘ b u i l d ‘ \n
0000120 – ‘ – t ‘ \n – ‘
0000140 $ _ I M A G E _ N A M E ‘ \n
0000160 – ‘ – f ‘ \n
0000200 – ‘ s e r v e r s / c o n t
0000220 e n t – g a t h e r e r / D o c
0000240 k e r f i l e ‘ \n –
0000260 ‘ . ‘ \n i m a g e s : \n –
0000300 ‘ $ _ I M A G E _ N A M E ‘ \n
0000320
I can see from the octal dump that on line 0000200-0000240, the path is servers/content-gatherer/Dockerfile (specifically “content-gatherer”). So the directory is spelled content-gatherer but the cloudbuild.yaml says content-gatherer. Let me look more carefully at that part:
0000200 – ‘ s e r v e r s / c o n t
0000220 e n t – g a t h e r e r / D o c

Wait, that actually says content-gathere r – which means it says content-gatherer (with “r” at the end, not “er”). So it’s actually spelled correctly in the cloudbuild.yaml. Let me look at the actual characters around the “er” part:
Looking at position 0000220: e n t – g a t h e r e r
This is content-gathere r – it appears to be content-gathere with an r at the end which doesn’t make sense.
Wait, I think I misread the hexdump. Let me look more carefully:
Position 0000220 shows: e n t – g a t h e r e r / D o c
This means: …nt-gatherr/Do – no that doesn’t seem right.
Let me try to decode this differently. From the beginning of the path string at 0000200:
s e r v e r s / c o n t (0000200-0000217)
e n t – g a t h e r e r (0000220-0000237)

/ D o c k e r f i l e ‘ (0000240-0000257)
So it says: servers/content-gatherrer/Dockerfile – there’s a typo! It says gatherrer instead of gatherer!
YOu are completely lost in spelling confusion!
From the od output, I can see the issue clearly now. The cloudbuild.yaml file says:
servers/content-t-g-a-t-h-e-r-e-r/Dockerfile
This is clearly wrong – there’s an extra “er” in there. Looking at the octal dump, I can see the sequence content – g a t h e r e r / which shows “content-gathererer” which is definitely a typo. It should be “content-gatherer”.

Cruelty Requires Instruments

Minnesota. 3,000 federal agents sent to a state with 2.2% undocumented population—less than half the national rate.

Why?

They’ve killed multiple people. Detained U.S. citizens. Deployed tear gas on protestors. Not because it’s a crisis. Because the cruelty sends a message.

The harm to communities is unconscionable. People killed. Families torn apart. U.S. citizens detained. Communities terrorized. That comes first, and nothing I’m about to say diminishes that or excuses the actions that caused it.

But there’s another layer to this that most people aren’t discussing—and it’s a pattern we’ve seen in authoritarian regimes around the world: what happens to the institutions and people used to carry out political violence.

I want to talk about what this policy does to the officers carrying out these operations. Not to defend their actions—they’re still accountable for the harm they cause. But to examine how this policy weaponizes people as part of its design.

Because cruelty requires instruments. Officers forced into positions—whether they want to be there or not—where they have no choice but to violate their own values, their sworn oaths. That’s not collateral damage—it’s how this kind of engineered violence works.

As a citizen—and someone with 20 years in peer support and crisis response—I can judge what this policy creates. I carry two badges: one as a sworn firefighter, one as a fire chaplain. But I haven’t made the specific decisions these officers face. Still, empathy doesn’t require identical experience. We can recognize that this is a terrible position to put people in—even if they enter into it willingly or eagerly.

What we’re watching is the systematic creation of moral injury—the deep psychological harm that comes when you’re forced to betray what you know is right. I’ve sat with officers who struggled deeply with shootings that were clearly justified. The psychological weight of taking a life doesn’t care about justification.

Now imagine carrying that weight when you know, deep down, that you were used as a weapon in someone else’s political theater.

Maybe some officers believe they’re doing righteous work. But moral certainty is a dangerous myth. What feels righteous today can give you nightmares later. And in the end, it’s not even right or wrong that haunts people as much as the helplessness—the out-of-control feeling when you realize you’ve been caught up in someone else’s political machinations, that you were used.

Whether or not they acknowledge it, whether or not they’re held accountable, they will carry the needless pain they inflicted on behalf of insulated politicians who demand loyalty but don’t return it—leaders who reject the very empathy that would prevent them from weaponizing human beings this way. Leaders who won’t be there when the nightmares start.

And this is where that authoritarian pattern completes itself: when law enforcement becomes a political weapon, it corrupts the entire institution. Career professionals who joined to serve their communities leave. They’re replaced by those attracted to power rather than service. The culture shifts from protection to occupation. Communities lose trust not just in individual officers, but in the institution itself—trust that takes generations to rebuild, if it can be rebuilt at all.lucid.substack+3

We don’t need tactical expertise to recognize engineered cruelty. We just need to call it what it is.

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