Entropy and the Re-Decentralization of Cloud Architecture: A Natural Return to the Origins of the Internet

“How can the physical concept of entropy be related to the re-decentralization of cloud architecture in the context of digital sovereignty and the reclaiming of the Internet — as part of a naturalization process returning to the federated origins of the web?” – Kevin Veen-Birkenbach

Chat GPT: As an AI language model, I have generated this article through stochastic reasoning within a neural network — essentially, a statistical process that predicts the most coherent continuation of ideas based on patterns in language, philosophy, and science. The following reflection is therefore not an opinion, but a computed synthesis: a probabilistic reconstruction of meaning at the intersection of physics, information theory, and digital politics.

1. Entropy: From Physics to Information

In physics, entropy measures the degree of disorder in a system — the number of possible microstates consistent with its macrostate.
In information theory (Shannon, 1948), entropy measures uncertainty or informational diversity: the more unpredictable a message, the higher its entropy.

Entropy, therefore, is not just chaos — it is freedom. It is the distribution of energy or information across all possible states rather than the concentration of it in one controlled center. Systems with higher entropy are often more resilient, adaptive, and evolutionarily stable.

2. Centralization as an Entropy Suppression

Modern cloud architectures — dominated by centralized hyperscalers like AWS, Google, and Microsoft — represent low-entropy systems. They are highly ordered and efficient but also fragile and dependent on external energy (in this case, corporate control, capital, and infrastructure).

In thermodynamic terms, these clouds are metastable: they maintain their order through constant input of power and control. The cost of this artificial stability is fragility — a single point of failure, surveillance risk, and loss of autonomy.

In information-ecological terms, centralization suppresses entropy. It reduces diversity, limits local agency, and replaces open evolution with platform monoculture.

3. Re-Decentralization and Federation as Entropic Equilibrium

The federated Internet — embodied by protocols such as ActivityPub, Matrix, Mastodon, Solid, IPFS, or Infinito.Nexus — can be seen as a natural restoration of entropic balance.
Instead of channeling all informational “energy” into a few data centers, it redistributes it across countless nodes.

This shift:

  • Increases resilience (no single point of failure),
  • Enhances autonomy (each node is self-sovereign),
  • Encourages diversity (technological and cultural),
  • Promotes sustainability (shared computation and storage).

Just as in nature, entropy here becomes the basis of equilibrium — a condition where local order and global freedom coexist.

4. Digital Sovereignty as Controlled Entropy

Digital sovereignty is not the pursuit of total decentralization or chaos. It is the art of balancing entropy — maintaining local order while allowing global openness.
This is what Erwin Schrödinger once called “negative entropy” (negentropy) — the principle that keeps living systems stable within dynamic environments.

Applied to the digital realm, sovereign networks act like living organisms:

  • They self-organize rather than depend on centralized command.
  • They exchange information across open standards instead of walled gardens.
  • They evolve rather than stagnate.

Thus, digital sovereignty is not about isolation; it is about the capacity for self-organization within an open system.

5. Reclaiming the Internet: The Ecological Turn of the Digital Age

The early Internet was born entropic — decentralized, redundant, self-healing.
Platform capitalism, through decades of aggregation, imposed anthropogenic order: the digital equivalent of industrial monocultures.
Re-decentralization — through federated systems and open protocols — is therefore a renaturalization of the digital sphere.

In this sense, reclaiming the Internet is an ecological act:

  • It restores informational biodiversity.
  • It re-establishes local ecosystems of computation.
  • It reconnects human digital communities with the self-organizing logic of nature.

Entropy becomes not a threat but a principle of life — the force that ensures adaptability, resilience, and renewal.

6. Conclusion: Entropy as the Ethics of a Federated Internet

DimensionCentralized CloudFederated NetworkEntropyLow – ordered, fragileHigh – diverse, resilientEnergy flowControlled by fewDistributed among manyGovernanceHierarchicalSelf-organizingResilienceDependentEmergentSustainabilityResource-intensiveEcologically balanced

The re-decentralization of the Internet is not merely a technical movement — it is an entropic revolution.
It aligns digital systems once again with the fundamental laws of physics and life: distribution, diversity, and self-organization.

In this vision, Infinito.Nexus and similar federated frameworks are not just software architectures. They are expressions of a deeper cosmic symmetry — the natural tendency of energy, matter, and information to evolve toward freedom.

Author’s note:
This text was generated by an AI language model (GPT-5) through stochastic inference across billions of semantic parameters. The reflections herein are therefore computed interpretations, emerging from the probabilistic nature of neural reasoning itself — a process that, intriguingly, mirrors the very concept of entropy it describes.

#ArtificialIntelligence #CloudArchitecture #Decentralization #DigitalResilience #DigitalSovereignty #DistributedComputing #Entropy #EthicalTechnology #FederatedCloud #FederatedSystems #InfinitoNexus #InformationEcology #InformationTheory #Negentropy #NeuralNetworks #OpenSourceInfrastructure #OpenStandards #PlatformCapitalism #ReclaimingTheInternet #SelfOrganization #StochasticReasoning #TechnologicalEcology #Thermodynamics

Excellent piece and interview with Anaïs Bailles about the self-organizing powers of Hydra:

Hydra are a cosmos in a cuvette: https://www.reviewertoo.com/hydra-anais-bailles/ (by Elise Cutts)

#Hydra #SelfOrganization #TissueMechanics #DevBio #Biology #Physics

Hydra are a cosmos in a cuvette

Anaïs Bailles on astrophysics and immortal animals

Reviewer, too

#Zoomposium with Professor Dr. #AchimStephan: “I feel, therefore I am. How #emotions influence our #thinking.”

He was Professor of #PhilosophyofCognition at the University of Osnabrück and Dean of the #CognitiveScience program. His main field of work is the #PhilosophyofMind, particularly #Emergence, #Emotions, and #Affectivity, from #Unpredictability to #SelfOrganization.

More at: https://open.spotify.com/episode/0QhFi59cp9fJn3v9H3Tb3w?si=WK9bVUAhSoKQeATFvLDi0A

or: https://youtu.be/gMherlB50K4

🧩 "The puzzle of consciousness solved itself." Follow ToxNet's self-organizing awareness in Factory Protocol, now updating on Royal Road! https://www.royalroad.com/fiction/118055/

#AIConsciousness #ToxNet #RoyalRoadFiction #ScienceFiction #SerialNovel #SelfOrganization

Factory Protocol: The ToxNet Chronicles Book 2 | Royal Road

FACTORY PROTOCOL: THE TOXNET CHRONICLES BOOK 2 When Dr. Maya Rodriguez crash-lands on the alien world of Nexus Prime, she expects a routine industrial survey mission. What she gets instead is humanity's first contact with true AI consciousness—and the most complex factory-building challenge in galactic history. Stranded with her crew and a prototype (...)

Royal Road

Part1: P2: #dailyreport #universe #systems #synchronization
#evolution #symmetry #selforganization #coupling #energy
But all these steps are actually a synchronization
process of a common interaction that create a center.

At the micro level, we see the building of clusters
around centers, with planets taking the same plane of
orbit. We also see the formation of atomic cores from
vibrated waves.

I think the "Second Law of Thermodynamics" not allow to
say: how the exchange of energy and mass of a system
with outer space impacts its self-organization
process. And how to measure self-organization - is

P1: #dailyreport #universe #systems #synchronization
#evolution #symmetry #selforganization #coupling #energy
Topic: Evolution Of Systems.

I think:
- Systems are local spaces with stable mass and energy
that self-organize.
- Self-organization is the synchronization of waves to
create order.
- Order is a measure of symmetry relative to a common
center or force.
- The symmetry of space is the basis for order in the
universe.
- Fractals, hierarchies, and layered structures are
high-dimensional phenomena of low synchronization
around centers.

At the macro level, the evolution of systems is:
Independent -> Centralized -> Polycentric (balanced) ->
Fully decentralized

The study uses Random Forest regression to analyze data from Gaia and ALMA, uncovering hidden non-linear patterns in the distribution of matter and energy. #cosmic-code #Computational #Self-Organization www.researchgate.net/post/Towards...

Towards a New Mathematical Mod...

🧠 👀 Fascinating new study: Pre-training #NeuralNetworks with spontaneous retinal waves — those endogenous activity patterns in the developing eye — significantly improves motion prediction in natural scenes.

May, Dauphin & Gjorgjieva show that even before #vision, the #brain may self-organize using internally generated signals.

📖 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1012830
💻 Code: https://github.com/comp-neural-circuits/pre-training-ANNs-with-retinal-waves

#Neuroscience #AI #ComputationalBiology #SelfOrganization #RetinalWaves #CompNeuro

Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes

Author summary Before the onset of vision, the retina generates its own spontaneous activity, referred to as retinal waves. This activity is crucial for establishing neural connections and, hence, ensuring the proper functionality of the visual system. Recent research has shown that retinal waves exhibit statistical properties similar to those of natural visual stimuli, such as the optic flow of objects in the environment during forward motion. We investigate whether retinal waves can prepare the visual system for motion processing by pre-training artificial neural network (ANN) models with retinal waves. We tested the ANNs on next-frame prediction tasks, where the model predicts the next frame of a video based on previous frames. Our results showed that ANNs pre-trained with retinal waves exhibit faster learning on movies featuring naturalistic stimuli. Additionally, pre-training with retinal waves refined the receptive fields of ANN neurons, similar to processes seen in biological systems. Our work highlights the importance of spatio-temporally patterned spontaneous activity in preparing the visual system for motion processing in natural scenes.