Published February 13, 2026 | Version v1
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Entropy_Dissipation_Protocol.pdf

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Modern infrastructure doesn’t collapse because it’s “complex.”

It collapses because stress scales faster than correction.

Across AI data centers, power grids, financial markets, and global supply chains, the failure pattern is the same:

• Heat rises faster than cooling
• Load grows faster than redispatch
• Liquidity evaporates faster than replenishment
• Backlogs grow faster than throughput

When entropy production exceeds dissipation capacity, a choke point forms.

We can quantify this with a simple idea:

Choke Index (χ) = Stress Production ÷ Dissipation Capacity

If χ < 1 → the system absorbs disturbance.
If χ ≈ 1 → critical boundary.
If χ > 1 → amplification begins.

Collapse is not about magnitude.
It’s about rate imbalance.

And modern systems rarely fail alone.

Acceleration + latency lag + network coupling = cascade.

The solution is not better alarms.
It’s a stability architecture.

A fast Safety Shield (CBF-QP) enforces forward invariance of the safe region — preventing the system from crossing the cliff when control authority exists.

A slower optimization layer runs inside those hard safety constraints.

Performance rides on top of safety. Not the other way around.

Thermodynamic choke points are amplification problems.

The solution is distributed drift correction.

If we measure stress production, measure dissipation capacity, and enforce safety mathematically, we can prevent systemic collapse before it starts.

 

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