amine radi

From online tribe to real-world power Network State in progress

[amine radi @amineradi0]

Switzerland may already be running one of the most resilient governance architectures on Earth and Web3 is still underestimating it.

Not because of “direct democracy” alone.
But because power is layered.

City level

Cantonal level

National level

Each layer has legitimacy.
Each layer has autonomy.
Each layer constrains the others.

This is fundamentally different from the Westphalian model of centralized sovereignty where legitimacy flows downward from a single state monopoly.

In Switzerland, sovereignty behaves more like a network.

That idea maps naturally to Web3.

---

The Problem With Most DAO Governance

Most DAOs accidentally recreate centralized nation states:

one token

one global vote

one governance forum

one treasury

one social consensus layer

This scales poorly.

Why?

Because local context disappears.

A protocol serving millions of users across regions, cultures, languages, industries, and legal realities cannot efficiently govern itself through a single flat voting layer.

The result:

governance fatigue

plutocracy

low participation

voter alienation

slow adaptation

governance capture

Web3 inherited the architecture of centralized empires while claiming decentralization.

---

A Swiss-Inspired Model for Web3

Imagine DAOs structured more like federated sovereign systems.

Layer 1 — Local Cells (City Equivalent)

Small operational communities:

builders

local chapters

research pods

regional economies

product teams

They govern:

budgets

grants

local initiatives

contributor reputation

experimentation

Fast governance.
High trust density.
Human-scale coordination.

---

Layer 2 — Network States / Cantons

Clusters of local cells form semi-autonomous “cantons.”

Each canton can:

define internal rules

experiment economically

choose governance styles

specialize technologically

One canton may optimize for AI.
Another for biotech.
Another for education.
Another for energy infrastructure.

Interoperable sovereignty.

Not fragmentation.
Evolution.

---

Layer 3 — Global Constitutional Layer

The protocol layer.

This layer governs only:

shared infrastructure

interoperability

treasury backstops

constitutional rights

security guarantees

dispute resolution primitives

Minimal but powerful.

Like Switzerland’s federal layer: strong enough to coordinate, weak enough to avoid domination.

---

The Key Innovation:

Fractal Sovereignty

Instead of:

> one chain = one nation

We move toward:

> one civilization = many sovereign layers

This creates:

resilience

adaptability

evolutionary governance

anti-fragility

cultural diversity

local optimization

The internet should not converge into a single digital empire.

It should evolve into a civilization of interoperable autonomous systems.

---

Beyond Westphalia

The Treaty of Westphalia optimized governance for:

geography

armies

borders

industrial bureaucracy

But the internet dissolved geography.

Web3 dissolved coordination costs.

AI is dissolving organizational scale limits.

The next governance architecture will not look like nation states.

It will look closer to:

biological systems

ant colonies

neural networks

federated ecosystems

Swiss-style distributed legitimacy

---

The Missing Primitive in Web3

Not better consensus.

Not faster blockchains.

Not more TPS.

The missing primitive is:

multi-layer legitimacy.

Where governance emerges simultaneously from:

local participation

regional autonomy

global coordination

Exactly what Switzerland accidentally perfected centuries ago.

Web3 should study it carefully.

Because the future may belong neither to corporations nor nation states — but to federated sovereign networks.

[c0mpute @c0mputeAI]

1/ We published our first technical report today.

We ran a 229B model split across five consumer GPUs in five countries over the public internet and measured 12.6 tok/s interactive, 194 tok/s batched.

With cryptographic receipts on every request.

https://t.co/PrABT2u58z

[Jake Brukhman @jbrukh]

The arguments used for push back on data centers feels like a return to the hysteric days of pushback on blockchain mining.

Good thing there’s a clear solution in decentralized alternatives.

Projects like @darkbloomai @c0mputeAI enable inference on consumer hardware and allow home electricity to power AI swarms. @pluralis will make frontier AI training possible in someone's living room on desktop devices without the need for a gigawatt data center.

Decentralized AI solves for a lot consumer concerns, and this is just the tip of the iceberg.

cc @TheEconomist

https://t.co/N1YSNMi7Sb

[SVR @SVRtweeets]

https://t.co/O7hcYfKCLe

[Winter @LeftyWinter]

Capitalism sucks.

[Global Statistics @Globalstats11]

Biggest Economies (GDP): 2015 vs 2026

1. 🇺🇸 USA:
2015: $18.3 Trillion
2026: $32.38 Trillion
Change: +76.94%

2. 🇨🇳 China:
2015: $11.3 Trillion
2026: $20.85 Trillion
Change: +84.51%

3. 🇩🇪 Germany:
2015: $3.4 Trillion
2026: $5.45 Trillion
Change: +60.29%

4. 🇯🇵 Japan:
2015: $4.4 Trillion
2026: $4.38 Trillion
Change: -0.45%

5. 🇬🇧 United Kingdom:
2015: $2.9 Trillion
2026: $4.26 Trillion
Change: +46.90%

6. 🇮🇳 India:
2015: $2.1 Trillion
2026: $4.15 Trillion
Change: +97.62%

7. 🇫🇷 France:
2015: $2.4 Trillion
2026: $3.60 Trillion
Change: +50.00%

8. 🇮🇹 Italy:
2015: $1.8 Trillion
2026: $2.74 Trillion
Change: +52.22%

9. 🇷🇺 Russia:
2015: $1.4 Trillion
2026: $2.66 Trillion
Change: +90.00%

10. 🇧🇷 Brazil:
2015: $1.8 Trillion
2026: $2.64 Trillion
Change: +46.67%

11. 🇨🇦 Canada:
2015: $1.6 Trillion
2026: $2.51 Trillion
Change: +56.88%

12. 🇲🇽 Mexico:
2015: $1.2 Trillion
2026: $2.12 Trillion
Change: +76.67%

13. 🇦🇺 Australia:
2015: $1.2 Trillion
2026: $2.12 Trillion
Change: +76.67%

14. 🇪🇸 Spain:
2015: $1.2 Trillion
2026: $2.09 Trillion
Change: +74.17%

15. 🇰🇷 South Korea:
2015: $1.5 Trillion
2026: $1.93 Trillion
Change: +28.67%

Source: International Monetary Fund (IMF) via Trade Brains

[leyten @leyten]

https://t.co/M24yzhfBfc

[Brivael Le Pogam @brivael]

🤣🤣

[Mario Nawfal @MarioNawfal]

🇩🇪 German public broadcaster ARD is out there dropping anti-air conditioning propaganda in the middle of a record heatwave.

Their infographic basically says: "Sure it cools you down, but it heats up the planet."

Meanwhile Germans are melting and only 6% of homes even have AC.

Nothing says "we care about you" like lecturing people to sweat for the climate.

Climate warriors would rather you die of heatstroke than install an AC unit.

Source: ARD Quarks, Tagesschau / Writer: Sol

[amine radi @amineradi0]

Happy birthday @elonmusk 🦾🦾

[Prince.Land 🫂 @Prinz_Land]

Nobody can realistically swap $1M worth of $ANSEM in one transaction when the token's total liquidity is only around $1M.

Most of those viral screenshots are paper profits, not realized gains.

Market Cap ≠ Liquidity.

A 100:1 MC-to-liquidity ratio means large sells will cause massive slippage, making it impossible for everyone to cash out at the displayed price.

Always check liquidity before FOMOing into any token. 📉💡

[c0mpute @c0mputeAI]

AI powered by people, not datacenters.

[Kevin Simback 🍷 @KSimback]

https://t.co/r8Y6Oa2nlz

[Matthias Schmidt @eurofounder]

American propaganda tries to make Europe look bad, but this is literally Paris today

Happy, peaceful French citizens enjoying warm weather

Never believe right-winged American media

[Dr. Eli David @DrEliDavid]

Thank you, Germans 🇩🇪
Your sacrifice saves the planet 🙏
_

[Martin Sellner @MartinSellner_]

Replacement of native spain.
Not normal
A crime.
Must be stopped and reversed.
There are dozens of Islamic and Afro-Arab countries but only ONE Spain.

[𝐓𝐡𝐞 𝐀𝐫𝐭 𝐨𝐟 𝐏𝐮𝐫𝐩𝐨𝐬𝐞 🇺🇸 @creation247]

Can you spot the difference?

[amine radi @amineradi0]

@NXT4EU Only Germany has a strong economy.

[NVIDIA @nvidia]

Water usage has been a hot topic in the AI data center world, but the numbers may surprise you.

According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.

By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.

Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.

Learn more below ⬇️

https://t.co/7WanoPNKTR

[Dr. Eli David @DrEliDavid]

The French 🇫🇷 don't use air-conditioning even during hot summer months, to save the planet. Thank you for your sacrifice 🙏
_