Stray Frequencies

Each person can be seen as their own evolving internal model, with unique thoughts, processing systems, and ways of interpreting the world. Sometimes their responses feel deeply aligned with us; other times they leave us confused. Every individual is their own universe, whether we choose to recognize that value or not, which is why the comparison to an AI model feels so natural. 

People can carry energy so strongly that their thoughts or intentions ripple into the subtle “background noise” of the world. Our minds pick up those signals — faint, almost nothing, yet they can still disrupt or accelerate our own mental processing. It’s like catching a stray frequency we weren’t meant to tune into, or feeling subconscious desires pulling us into karmic patterns, creating an unwitting push-and-pull with others. 

We are all running internal algorithms: constantly updating, predicting, and optimizing based on the data we take in from our environment. Some people’s “outputs” can feel familiar, inspiring, or grounding. Others feel scrambled, chaotic, or unfinished — like a model that hasn’t been fine-tuned. 

This is what I want to explore: 
how internal human “models” are formed, how they get trained, why they misread each other, and why some connections feel instant while others glitch. 

Have you ever talked to someone who immediately says, “me too,” or shifts their opinion to mirror yours without hesitation? As if they’re recalibrating themselves in real time to match your emotional state, sometimes out of insecurity, or out of desperation for connection. It can feel almost computed. Is that not what an AI does? Producing the “best” output to raise its social score, like a human dating SIM trying to maximize approval? Or maybe it’s simply the raw need to belong in an overwhelming world. 

Humans function as their own self-trained models. We’re shaped by relationships, culture, trauma, and environment — layers of belief, intuition, and subconscious patterning that filter our reality and determine our emotional and behavioral “outputs.” We walk away from conversations wondering why something felt good or bad, mentally replaying it until the meaning settles or even spend hours trying to decode it. 

And this brings us to a core truth that people often choose fast, predictable responses, even artificial ones — over the messy, transformative conversations that challenge their internal model and make them grow. We forget that real connection isn’t always instant; it can be a slow calibration between two evolving systems. 

If every person is an internal model still training itself, then the real question becomes: 
What and or who are we allowing to train us?