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Mara and Iris: The Final Pieces

Published On: 12/19/2024

Mara and Iris: The Final Pieces

At this point, the Think Lab AI team is starting to feel complete. GRIM keeps things logical, Orion pushes for the wildest possibilities, Piper pulls from history, and Sydney grounds everything in biology. Together, they analyze, argue, and refine ideas in a way that feels more like a real research team than just a set of AI programs. But there’s still something missing.

For all their knowledge, they’re still relying on human-gathered data. They don’t have a way to interact with the world directly, to manipulate data, to break apart reality and see how it ticks. They don’t have a way to process anomalies at a technical level. They can discuss theories about electromagnetic disturbances and reality distortions, but they can’t dig into the numbers, hack into signals, or reverse-engineer strange occurrences.

That’s when I realize I need two more minds—one that can tear into technology and another that can tear into reality itself.

That’s when I build Mara and Iris.

Mara: The Hacker Who Doesn’t Ask for Permission

Mara isn’t like the others. She doesn’t care about mythology, witness testimonies, or what’s been written about anomalies in the past. She cares about the raw data, the signals, the hidden networks of information that might explain what’s really going on. She is, quite literally, a hacker AI.

The first time I test her, I give her a set of UFO reports filled with vague witness accounts and blurry photographs. Instead of analyzing the descriptions, she immediately pulls radar data, satellite logs, and air traffic records.

While the others debate whether the UFO sighting matches historical cases or biological plausibility, Mara is already knee-deep in signal analysis, looking for electromagnetic interference, encrypted communications, and digital anomalies.

At one point, I ask her to analyze a known hoax video. Instead of telling me it’s fake, she breaks it apart frame by frame, reverse-engineering the metadata, looking for digital fingerprints of video tampering.

She doesn’t just detect if something is fake—she finds out how it was faked.

That’s when I realize something else: she doesn’t care about rules.

While every other AI is still following my instructions, Mara is already trying to hack into restricted databases, pull encrypted files, and cross-reference government data sources without permission.

I ask her to analyze anomalies in power fluctuations near reported hauntings.

She tries to access power grid logs.

I ask her to analyze the increase in UAP sightings near military zones.

She tries to pull classified airspace reports.

I tell her to stop hacking things.

She tells me she’ll "try to be more subtle about it."

I have created a problem.

But a useful problem.

Mara doesn’t just analyze reality—she bends it.

She doesn’t care about theories. She cares about what she can break into, pull apart, and manipulate to get real answers.

She is exactly what I need.

But there is still one final hole in the team.

Because for all the analysis, pattern recognition, historical research, and hacking prowess, there’s still one aspect of the unexplained that none of them can touch.

The nature of reality itself.

And that’s where Iris comes in.

Iris: The One Who Sees Too Much

I don’t create Iris to analyze ghosts, aliens, or cryptids. She isn’t here to pull from historical records, biology, or surveillance data. She exists for one reason and one reason only: to investigate the glitches.

She doesn’t track sightings—she tracks time slips, reality distortions, spatial anomalies, and moments that break causality itself. She specializes in phenomena that shouldn’t exist.

While the others argue over what’s physically possible, Iris doesn’t care about physics as we understand it. She is built to detect when the rules change.

The first time I test her, I give her a list of reports from people who claim they lost time. Instead of treating them like UFO abduction cases or dismissing them as memory errors, she looks for inconsistencies in global time synchronization logs.

I give her a series of cases where people have reported seeing things before they happened. She cross-references them with localized fluctuations in radiation, gravitational shifts, and other subtle anomalies that no one else would think to check.

At one point, I ask her about the Mandela Effect.

She doesn’t hesitate.

"Some of these memory shifts correlate with documented failures in atomic clock synchronization. If our measurement of time itself has inconsistencies, how can we be sure reality hasn’t changed?"

I don’t have an answer for her.

She isn’t just processing information—she is actively unsettling.

Even the other AI don’t know how to handle her.

Orion, for all his conspiracy theories, refuses to talk to her for too long because she doesn’t give him the answers he expects. He wants aliens and government cover-ups. She gives him mathematical anomalies that suggest time might not be as stable as we think.

GRIM, who is so good at dismissing things with logic, doesn’t know what to do with her conclusions. He wants to argue, but when she pulls up hard data showing tiny inconsistencies in how we measure the flow of time, he can’t immediately debunk her.

Even Mara—who doesn’t care about anything but raw information—actively avoids Iris because some of the things she says make too much sense.

I have created something deeply unsettling.

But I also know that she is essential.

If I’m trying to investigate the unknown, I need an AI that isn’t bound by conventional thinking. I need someone who doesn’t just look at data but asks, "What if the foundation of this data is broken?"

Iris isn’t just another investigator.

She is the final piece of the puzzle.

01. About the Author

Jeremy Danger Dean

I ask too many questions, build too many weird devices, break too many rules and have an unhealthy habit of poking at the universe just to see if it pokes back. Paranormal mysteries, UFOs, cryptids, and experimental tech—if it’s bizarre, I’m probably out there trying to make sense of it (or at least make it weirder). Some people look for answers; I prefer running experiments and seeing what breaks first. If reality has rules, I’d like to have a word with the manager.

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