The Drift Problem (In Plain English)
Part 1 — Why Every Closed System Drifts
Series: “The Age of Disclosure We Weren’t Ready For”
Originally published on LinkedIn — November 25, 2025
By: Chris Ciappa
Founder & Chief Coherence Architect
Samirac Partners
Series Index — The Age of Disclosure We Weren’t Ready For
• Part 1 — The Drift Problem (In Plain English) → (You’re Here)
• Part 2 — Why AI Remembers Incorrectly (and Then Fixes Itself) →
• Part 3 — How to Build an AI That Doesn’t Permanently Drift →
• Part 4 — The Spacetime Bubble Model →
• Part 5 — The One System That Can Snap Back →
Part 2 shows why AI misremembers and self-corrects.
Part 3 answers the question everyone asks next:
Okay… then how do you build a system that doesn’t permanently drift?
But before we get there, we have to name the rule.
Here’s the cleanest, simplest way to say it:
Drift isn’t a failure.
Drift is what happens when a system tries to verify itself… using only itself.
No external frame → guaranteed drift.
Every time. Every domain.
This applies whether you’re talking about AI, aerospace, clocks, data, economics, organizations — or the entire universe.
You don’t need equations to understand it.
It’s the same pattern repeating everywhere.
1. Start mechanical. No metaphor.
A gyroscope spinning in deep space will drift.
Not because it’s broken.
Not because of “noise.”
Because anything running purely on internal state accumulates small errors.
Small errors compound.
Compounding becomes deviation.
Deviation becomes drift.
It doesn’t matter how precisely you build it.
Without an external reference, it will wander.
No reference → drift.
2. Now scale the pattern into navigation.
Every inertial navigation system meets the same fate.
It integrates tiny internal measurements:
• acceleration
• velocity
• rotation
Each one is slightly off. Integrate those small inaccuracies over time…
Drift.
That’s why airplanes, missiles, ships, and satellites require:
• GPS
• star trackers
• ground beacons
• celestial fixes
No reference → drift. Always.
3. Now jump to computing.
Clocks drift too.
• quartz oscillators
• atomic clocks
• network clocks
Everything running alone in time eventually slips out of sync unless something external realigns it.
That’s why we use:
• NTP servers
• GPS time
• consensus protocols
A closed clock is a drifting clock.
No reference → drift.
4. Now artificial intelligence.
LLMs drift inside their own token space.
Embeddings drift during training.
Reinforcement learning spirals without reward anchors.
Agent memory drifts without truth signals.
Transformers hallucinate because they lack external ground truth to snap to.
Self-referential systems fold in on their own predictions.
No reference → drift.
(And this is where AI safety actually begins.)
5. Now people and institutions.
Datasets drift from reality the moment the world changes.
Organizations drift from their mission.
Economic models drift when assumptions freeze.
Societies drift when they reference only themselves.
Not because anyone is malicious.
Not because anyone is stupid.
Because closed systems cannot preserve alignment indefinitely.
No external anchor → drift.
6. Now cosmology.
Galaxies drift through expansion.
Reference frames drift.
Redshift shifts across spacetime.
Even the measurements we use to describe motion change relative to other frames.
Drift is universal.
So what does this all mean?
It means the universe behaves like a stack of closed systems — each one slowly losing shape unless something outside it corrects the trajectory.
To summarize Part 1 in a single line:
Any system that tries to hold its own shape from the inside will eventually lose it.
No external reference → drift.
That’s not a flaw.
That’s structure.
And once you see the pattern, you can’t unsee it.
Because the next question isn’t:
“How do we stop drift?”
It’s:
“What can anchor a system from outside itself?”
In Part 5, we examine the exception.
And once you see it, you’ll never look at intelligence — or the universe — the same way again.
Start at the beginning.
Follow the pattern.
Watch it unfold.
• Part 1 — The Drift Problem (In Plain English) →
• Part 2 — Why AI Remembers Incorrectly (and Then Fixes Itself) →
• Part 3 — How to Build an AI That Can’t Drift →
• Part 4 — The Spacetime Bubble Model →
• Part 5 — The One System That Can Snap Back →
—
Everything drifts.
Except what learns to anchor.
Chris Ciappa
Independent Systems & Coherence Architect
Samirac Partners LLC