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Blockchain governance and DAOs

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The Trove Markets Scandal: How a $10M Token Dump Exposed the Dark Side of Permissionless Perps

· 8 min read
Dora Noda
Software Engineer

"A few minutes after the founder of @TroveMarkets said that he does not control the wallet, and that he is asking for the wallet to be shut down, it starts selling again." This chilling observation from Hyperliquid News captured the moment trust evaporated for one of decentralized finance's most ambitious projects. Within 24 hours, nearly $10 million in HYPE tokens were dumped from a wallet linked to Trove Markets—and the founder claimed he had no control over it. The resulting chaos exposed fundamental questions about permissionless protocols, governance, and what happens when the promise of decentralization meets the reality of human nature.

Trump Meme Coin at One Year: $2 Billion in Retail Losses and a Crypto Policy in Limbo

· 9 min read
Dora Noda
Software Engineer

On January 17, 2025, three days before his inauguration, Donald Trump did something no American president had ever done: he launched his own cryptocurrency. One year later, the OFFICIAL TRUMP token stands as perhaps the most controversial experiment in the collision of politics, finance, and digital assets—a cautionary tale where 813,000 wallets lost $2 billion while the Trump family pocketed over $1 billion in profits.

The numbers tell a brutal story. TRUMP token launched at approximately $7 and rocketed to an all-time high of $74.27 within 48 hours, briefly commanding a market capitalization exceeding $27 billion. Today, it trades just below $5—a 93% collapse from its peak. The market cap has shriveled to under $1 billion, making it the sixth-largest meme coin by that metric, but a shadow of its former self.

What makes this story significant isn't just the financial carnage. It's how a sitting president's personal cryptocurrency venture transformed what was once a bipartisan push for crypto-friendly legislation into a partisan flashpoint that may have set the industry's regulatory progress back years.

The Architecture of Wealth Transfer

The TRUMP token's structure was designed for asymmetric outcomes from day one. Of the one billion tokens created, 800 million—80% of the total supply—remained in the hands of two Trump-owned entities: CIC Digital LLC and Fight Fight Fight LLC. Only 200 million tokens were released in the initial public offering.

This concentration meant that even as retail investors poured money in during the launch frenzy, the vast majority of potential gains were locked in Trump-affiliated wallets. A forensic analysis commissioned by The New York Times later quantified the damage: 813,294 individual wallets collectively lost $2 billion trading the token, while Trump's companies and partners extracted approximately $100 million in trading fees alone.

The profit machinery extended beyond fees. The Trump family has reportedly generated over $1 billion from their combined crypto ventures, including TRUMP, the MELANIA token (launched the following day), and World Liberty Financial. By January 2026, TRUMP-related proceeds alone had added an estimated $280 million to the family's wealth.

Meanwhile, the MELANIA token—launched on January 18, 2025—has performed even worse by percentage terms, plunging nearly 99% from its all-time high of $13.73 to hover around $0.15. Its market cap collapsed from $1.73 billion at peak to approximately $146 million. A recent 50% rally in early 2026, driven by hype around an Amazon Prime documentary about the First Lady, barely registers against the overall devastation.

The Political Fallout

The crypto industry entered 2025 with cautious optimism. Trump had campaigned on crypto-friendly policies, and there was genuine bipartisan momentum behind legislation like the GENIUS Act (stablecoin framework) and CLARITY Act (regulatory clarity for digital assets). Industry observers believed comprehensive crypto legislation was finally within reach.

The meme coin launch changed that calculus overnight.

Cardano founder Charles Hoskinson has been vocal about the damage: "Trump's crypto ventures transformed a fragile bipartisan effort for clear digital asset rules into a partisan liability." He specifically blamed the MELANIA memecoin for hindering progress on the GENIUS and CLARITY bills, noting that the launches gave Democrats an easy attack line on corruption.

That attack came swiftly. Representative Maxine Waters introduced the "Stop TRUMP in Crypto Act of 2025," which would prohibit presidents and family members from owning crypto assets while in office. Representative Sam Liccardo followed with the Modern Emoluments and Malfeasance Enforcement Act (MEME Act), which would bar presidents, senior White House officials, and members of Congress from issuing or endorsing financial assets, with a private right of action for harmed purchasers.

Peter Chung, head of research at Singapore-based Presto Labs, summarized the industry perspective: "Trump's meme coin launch has done more harm than good to the industry as his political opponents are citing his personal gains from the meme coin launch as a reason to block or slow down crypto's legislative process. It's an unnecessary distraction."

The Dinner and the Unlock

If the launch was controversial, subsequent developments deepened concerns about conflicts of interest. In late 2025, Trump hosted a closed-door dinner for the top 220 TRUMP holders—press was barred. Among the attendees was Tron founder Justin Sun, who had purchased over $22 million in TRUMP tokens and invested tens of millions more in World Liberty Financial.

The timing coincided with critical legislative debates. An unlock of 90 million TRUMP tokens—worth approximately $900 million—increased circulating supply by 45% during "Crypto Week," directly impacting market dynamics as lawmakers debated crypto bills. Reports emerged that President Trump pressured Republican lawmakers to reconsider crypto legislation tied to token interests.

This intertwining of presidential financial interests with regulatory outcomes represents uncharted territory for American governance. Critics argue it creates a fundamental conflict: how can the president sign or veto crypto legislation when his family's wealth is directly tied to the industry's regulatory environment?

World Liberty Financial: The Empire Expands

The TRUMP token was just the beginning. World Liberty Financial (WLF), the Trump family's DeFi platform built on Aave V3, has become a substantial enterprise. The project launched World Liberty Markets on January 12, 2026—a lending and borrowing platform where users can supply ETH, USDC, and WLFI tokens as collateral.

The numbers are significant: WLF's USD1 stablecoin has reached over $2 billion in market capitalization, making it the fifth-largest stablecoin. The Trump family receives 75% of net proceeds from WLFI token sales plus a cut of stablecoin profits. By December 2025, the family had reportedly profited $1 billion from WLF proceeds alone, while holding $3 billion worth of unsold tokens.

In January 2026, World Liberty Trust—a WLF subsidiary with Zach Witkoff as president—applied for a national banking charter, which would allow it to issue and safeguard USD1 stablecoins under federal regulation. The same month, Pakistan signed an agreement with SC Financial Technologies (affiliated with WLF) to explore using USD1 for cross-border payments—marking one of the first collaborations between the Trump crypto empire and a sovereign nation.

The regulatory implications are staggering. If World Liberty Trust receives a banking charter, the president's family business would be directly regulated by federal banking authorities while the president himself shapes financial policy. The traditional Chinese walls between government and personal financial interests have essentially dissolved.

The Supply Unlock Calendar

For TRUMP token holders who remain, 2026 brings new risks. The token's unlock schedule means additional supply will enter circulation throughout the year, creating predictable selling pressure. Token unlocks were scheduled for the second week of January 2026, with over $1.69 billion worth of new tokens entering the market.

Market analysts note that 2026 is when supply dynamics matter most. As circulating supply expands via scheduled unlocks, traders will increasingly price in "unlock risk" as an event. Even in bullish conditions, these dates can create sell pressure, volatility spikes, and whipsaw price action. For a token already down 93% from highs, additional dilution could prove devastating for remaining holders.

The Industry Reckons with a New Reality

One year in, the crypto industry finds itself in an uncomfortable position. The administration has delivered on some promises: an early executive order asserted digital assets' "crucial role" in American innovation, summits and working groups have been convened, and the president signed the country's first major national crypto legislation in the summer.

But there's a wide gulf between attitude shifts and durable, digital-assets-friendly regulatory frameworks. The Trump family's direct financial stake in the industry has made every policy decision suspect in critics' eyes. Democrats who might have supported bipartisan legislation now have political cover to oppose anything that could be painted as enriching the president's family.

The irony is substantial: an administration that was supposed to usher in crypto's golden age may have instead poisoned the well for years to come. Regulatory clarity remains elusive, with policy in what analysts describe as "limbo." The bipartisan coalition that nearly achieved comprehensive crypto legislation has fractured along predictable partisan lines.

Lessons for Investors and Builders

The TRUMP token experiment offers several harsh lessons:

Token structure matters. An 80/20 split between insiders and public is a massive red flag. When 80% of supply is controlled by project creators, retail investors are essentially providing exit liquidity. This isn't unique to political tokens—it's a pattern seen across the memecoin ecosystem, where Pump.fun data shows 98.6% of tokens effectively fail.

Celebrity and political endorsements aren't investment theses. The enthusiasm around TRUMP at launch wasn't based on technology, utility, or fundamental value—it was pure speculation on political momentum. That speculation proved extraordinarily costly for the 813,000 wallets that lost money.

Regulatory risk can come from unexpected directions. Ironically, a pro-crypto administration may have created more regulatory uncertainty by blending personal financial interests with policy authority. Investors must now price in not just hostile regulation, but regulation distorted by conflicts of interest.

The memecoin casino always favors the house. Whether it's TRUMP, MELANIA, or any of the nearly 30,000 tokens launched daily on Pump.fun, the structure overwhelmingly benefits early insiders and creators. The median retail participant loses money.

What Comes Next

As the TRUMP token enters its second year, several dynamics will shape its trajectory. The unlock schedule will continue pressuring price. Legislative battles will determine whether any crypto-friendly bills survive the partisan minefield created by presidential crypto holdings. The 2026 midterms could reshape the political landscape, with Trump's crypto ventures potentially becoming campaign issues.

For the broader industry, the task is recovering credibility. That means building applications with real utility, pursuing thoughtful regulatory engagement, and creating value that doesn't depend on greater-fool dynamics. The machine economy, DePIN, and institutional DeFi represent paths forward that don't require extracting billions from retail speculators.

The Trump meme coin saga will likely be studied for years as a case study in the intersection of politics, speculation, and wealth transfer. It demonstrated both the explosive power of presidential attention and the devastating consequences when that attention is directed toward extracting value from supporters rather than creating it.

One billion dollars to the Trump family. Two billion dollars lost by 813,000 retail wallets. And a crypto policy framework left in limbo. That's the one-year ledger of America's presidential memecoin experiment.


BlockEden.xyz provides infrastructure for developers building the next generation of blockchain applications. As the industry matures beyond speculative trading toward real utility, reliable node services and APIs become essential foundations. Explore our API marketplace to build on infrastructure designed for serious applications.

The Rise of Governance Capitalism: How Curve DAO's $17 Million Rejection Signals a Shift in Power Dynamics

· 7 min read
Dora Noda
Software Engineer

When the Curve DAO rejected a $17 million CRV grant request from its own founder in December 2025, it wasn't just another governance vote. It was a declaration that the era of founder-controlled DAOs is ending—replaced by something neither idealists nor critics fully anticipated: governance capitalism, where concentrated capital, not community sentiment or founding teams, holds decisive power.

The vote split 54.46% against and 45.54% in favor. On-chain data revealed the uncomfortable truth: addresses associated with Convex Finance and Yearn Finance accounted for nearly 90% of the votes cast against the grant. Two protocols, acting in their own economic interests, overruled the founder of a $2.5 billion TVL platform.

The Anatomy of a $17 Million Rejection

The proposal seemed straightforward. Curve Finance founder Michael Egorov requested 17.4 million CRV tokens—valued at approximately $6.2 million—to fund Swiss Stake AG, a team that has maintained Curve's core codebase since 2020. The roadmap included advancing LlamaLend, expanding support for PT and LP tokens, developing on-chain forex markets, and continuing crvUSD development.

Just sixteen months earlier, in August 2024, a similar request for 21 million CRV tokens ($6.3 million at the time) had passed with nearly 91% support. What changed?

The answer lies in how governance power shifted during that period. Convex Finance now controls approximately 53% of all veCRV—the vote-escrowed tokens that determine governance outcomes. Combined with Yearn Finance and StakeDAO, three liquid locker protocols dominate Curve's decision-making apparatus. Their votes are influenced by self-interest: supporting proposals that might dilute their holdings or redirect emissions away from their preferred pools serves no economic purpose.

The rejection wasn't about whether Swiss Stake deserved funding. It was about who gets to decide—and what incentives drive those decisions.

The Vote-Escrow Paradox

Curve's governance model relies on vote-escrowed tokens (veCRV), a mechanism designed to solve two fundamental problems: liquidity and engagement. Users lock CRV for up to four years, receiving veCRV proportional to both token amount and lock duration. The theory was elegant: long-term lockups would filter for stakeholders with genuine protocol alignment.

Reality diverged from theory. Liquid lockers like Convex emerged, pooling CRV from thousands of users and permanently locking it to maximize governance influence. Users receive liquid tokens (cvxCRV) representing their stake, gaining exposure to Curve rewards without the four-year commitment. Convex keeps the governance power.

The result is a concentration pattern that research now confirms across the broader DAO ecosystem. Analysis shows that less than 0.1% of governance token holders possess 90% of voting power in major DAOs. Compound's top 10 voters control 57.86% of voting power. Uniswap's top 10 control 44.72%. These aren't anomalies—they're the predictable outcome of tokenomics designed without adequate safeguards against concentration.

The Curve rejection crystallized what academics call "governance capitalism": voting rights bound to long-term lockup filter for large capital holders and long-term speculators. Over time, governance shifts from ordinary users to capital groups whose interests may diverge significantly from the protocol's broader community.

The $40 Billion Accountability Question

The stakes extend far beyond Curve. Total DAO treasury assets have grown from $8.8 billion in early 2023 to over $40 billion today, with more than 13,000 active DAOs and 5.1 million governance token holders. Optimism Collective commands $5.5 billion, Arbitrum DAO manages $4.4 billion, and Uniswap controls $2.5 billion—figures rivaling many traditional corporations.

Yet accountability mechanisms haven't kept pace with asset growth. The Curve rejection exposed a pattern: tokenholders demanded transparency about how previous allocations were used before approving new funding. Some suggested future grants be distributed in installments to reduce market impact on CRV. These are basic corporate governance practices that DAOs have largely failed to adopt.

The data is sobering. Over 60% of DAO proposals lack consistent audit documentation. Voter participation averages 17%, with participation concentrated among the top 10% of token holders who control 76.2% of voting power. This isn't decentralized governance—it's minority rule with extra steps.

Only 12% of DAOs now employ on-chain identity mechanisms to improve accountability. More than 70% of DAOs with treasuries above $50 million require layered audits, including flash-loan protection and delayed execution tools. The infrastructure exists; adoption lags.

Solutions That Might Actually Work

The DAO ecosystem isn't blind to these problems. Quadratic voting, which makes additional votes exponentially more expensive, has been adopted by over 100 DAOs including Gitcoin and Optimism-based projects. Adoption rose 30% in 2025, helping balance influence and reduce whale dominance.

Research proposes integrating quadratic voting with vote-escrow mechanisms, demonstrating mitigation of whale problems while maintaining resistance to collusion. Ethereum Layer-2s like Optimism, Arbitrum, and Base have cut DAO gas fees by up to 90%, making participation more accessible for smaller holders.

Legal frameworks are emerging to provide accountability structures. Wyoming's DUNA framework and the Harmony Framework introduced in February 2025 offer pathways for DAOs to establish legal identity while maintaining decentralized operations. States like Vermont, Wyoming, and Tennessee have introduced legislation recognizing DAOs as legal entities.

Milestone-based disbursement models are gaining traction for treasury allocation. Recipients receive funding in stages upon meeting predefined goals, mitigating misallocation risk while ensuring accountability—exactly what Curve's tokenholders demanded but the proposal lacked.

What the Curve Drama Reveals About DAO Maturity

The rejection of Egorov's proposal wasn't a failure of governance. It was governance working as designed—just not as intended. When protocols like Convex accumulate 53% of voting power by design, their ability to override founder proposals isn't a bug. It's the logical outcome of a system that equates capital commitment with governance authority.

The question facing mature DAOs isn't whether concentrated power exists—it does, and it's measurable. The question is whether current mechanisms adequately align whale incentives with protocol health, or whether they create structural conflicts where large holders benefit from blocking productive development.

Curve remains a prominent DeFi player with over $2.5 billion in total value locked. The protocol won't collapse because one funding proposal failed. But the precedent matters. When liquid lockers control sufficient veCRV to override any founder proposal, the power dynamic has fundamentally shifted. DAOs built on vote-escrow models face a choice: accept governance by capital concentration, or redesign mechanisms to distribute power more broadly.

On May 6th, 2025, Curve lifted its whitelist restriction on veCRV locking, allowing any address to participate. The change democratized access but didn't address the concentration already locked into the system. Existing power imbalances persist even as entry barriers fall.

The Road Ahead

The $40 billion in DAO treasuries won't manage itself. The 10,000+ active DAOs won't govern themselves. And the 3.3 million voters won't spontaneously develop accountability mechanisms that protect minority stakeholders.

What the Curve rejection demonstrated is that DAOs have entered an era where governance outcomes depend less on community deliberation and more on the strategic positioning of large capital holders. This isn't inherently bad—institutional investors often bring stability and long-term thinking. But it contradicts the founding mythology of decentralized governance as democratized control.

For builders, the lesson is clear: governance design determines governance outcomes. Vote-escrow models concentrate power by design. Liquid lockers accelerate that concentration. Without explicit mechanisms to counteract these dynamics—quadratic voting, delegation caps, milestone-based funding, identity-verified participation—DAOs trend toward oligarchy regardless of their stated values.

The Curve drama wasn't the end of DAO governance evolution. It was a checkpoint revealing where we actually stand: somewhere between the decentralized ideal and the plutocratic reality, searching for mechanisms that might bridge the gap.


Building on decentralized infrastructure requires understanding the governance dynamics that shape protocol evolution. BlockEden.xyz provides enterprise-grade API services across 20+ blockchains, helping developers build applications that can navigate the complex landscape of DAO-governed protocols. Explore our API marketplace to access the infrastructure powering the next generation of decentralized applications.

The Network State: How to Start a New Country by Balaji Srinivasan

· 64 min read
Dora Noda
Software Engineer

Balaji Srinivasan’s The Network State: How to Start a New Country (2022) is a manifesto that argues modern technology enables the creation of new, virtual-first sovereign communities. Srinivasan lays out a chapter-by-chapter case for why traditional nation-states are failing and how “network states” – highly aligned online communities that aggregate into real-world polities – could emerge as their successors. Below is a detailed summary and analysis of each chapter, highlighting the major arguments, frameworks, key proposals, and examples, as well as how these ideas interconnect across the book.

Chapter 1: Quickstart – Defining the Network State and Its Blueprint

Chapter 1 introduces the concept of the “network state” and provides a high-level blueprint for creating one. Srinivasan defines a network state as “a highly aligned online community with a capacity for collective action that crowdfunds territory around the world and eventually gains diplomatic recognition from pre-existing states.” In essence, unlike a traditional state defined by contiguous territory, a network state is defined by its people and their shared purpose, enabled by the internet. This chapter contrasts the structure of network states with legacy nation-states: a nation-state is bounded by geography, whereas a network state is geographically decentralized – its members are distributed globally but connected via the internet and a unifying mission. The author even includes an illustrative “one image” dashboard of a hypothetical million-citizen network state: it appears as an archipelago of populated nodes around the world, with a running count of its total population, income, and land area. For example, the book presents a mock-up showing scattered clusters in cities like Tokyo, Mumbai, New York, etc., all linked as one community (see figure), emphasizing that a network state is cloud-based and only later anchors in physical space. This “cloud first, land last” ethos (start digital, then materialize physically) is a core principle.

Key Proposal – Seven Steps to Start a New Country: Srinivasan outlines a step-by-step framework for building a network state, analogizing it to founding a startup. He argues that creating a new society from scratch is easier than reforming legacy states weighed down by historical baggage. The path, summarized in seven broad steps, is as follows:

  1. Found a “startup society” – Begin with an online community united by a common vision or One Commandment (a single moral principle – a concept later detailed). Anyone can start such a community, just as anyone can found a company or cryptocurrency. The founder’s legitimacy is proven simply by others choosing to join and follow the project.
  2. Organize it into a “network union” – Convert the loose community into a group capable of collective action. This means coordinating members for their mutual benefit, much like a traditional union but not tied to a single employer or locale. The network union gives the community “organizational muscle,” allowing it to act in unison (for example, lobbying for a cause, pooling resources, or defending members) rather than being just a social media group. Srinivasan terms this “unionization” the key step that turns an online crowd into a coherent polity.
  3. Build trust offline and a crypto-economy online – Start holding in-person meetups and gatherings to strengthen social bonds and trust among members, while simultaneously creating an internal economy using cryptocurrency. In other words, members of the community should begin transacting, sharing funds, or trading via a native digital currency or token. This step establishes economic interdependence and real-world camaraderie. For example, the community might host regular events or co-working spaces, and use crypto tokens for voting or rewards. Srinivasan emphasizes using blockchain to secure these interactions, since a blockchain provides an immutable ledger for the community’s records (identity, transactions, votes).
  4. Crowdfund physical “nodes” – Once the community is cohesive and has amassed some capital, begin acquiring physical spaces for members. These nodes could be apartments, houses, co-living facilities, or even entire neighborhoods – anywhere members can live together or meet periodically. The idea is to materialize the community in the real world by creating hubs where the digital citizens can gather. Srinivasan gives examples of crowdfunding everything from single apartments up to towns. Over time, the community will own an archipelago of properties distributed globally, rather than one contiguous territory.
  5. Digitally connect the distributed nodes – Link these physical enclaves into one networked whole – a “network archipelago”. Members across all locations remain in constant communication via the internet, and a shared cryptographic passport or membership system is used to grant access to physical sites. Augmented or mixed reality tools can overlay a sense of unity, blurring the line between the online community and its on-ground homes. In short, even though members might be spread across dozens of cities, they function as one population through digital connectivity. (In the figure above, this is visualized by dotted lines connecting nodes worldwide.)
  6. Conduct an on-chain census & show metrics – As the community grows in population and wealth, perform a cryptographically audited census to publicly prove its scale. This means using the blockchain and other verification methods to publish real-time data about the network state’s membership count, economic output, and land holdings. Srinivasan suggests a level of radical transparency here: just as a startup shows user growth, a network state would continuously broadcast its “net worth and number of members” to gain credibility. This step is about demonstrating traction: if thousands of people are already voluntarily part of the community and collectively own significant property and income, it strengthens the case that this entity is “real” and should be taken seriously. (He explicitly compares it to how Bitcoin went from being dismissed to, over time, achieving recognition as legal tender.)
  7. Gain diplomatic recognitionFinally, seek recognition from at least one existing sovereign state for the community’s autonomy. This could start with small steps – for instance, negotiating a status like an autonomous zone, a charter city arrangement, or simply establishing formal relations with a country as an experimental “digital nation.” The ultimate goal is incremental sovereignty, potentially culminating in recognition by the United Nations. Srinivasan notes that if a startup society grows to millions of citizens and a multi-billion-dollar economy, it will have leverage to negotiate recognition “just as Bitcoin has now become a bona fide national currency” (referring to nations like El Salvador adopting Bitcoin). Diplomatic recognition is the capstone that transforms a mere community into a true network state, granting it the legal standing to enter treaties, trade internationally, and protect its members.

This seven-step roadmap is one of the major frameworks in the book. Srinivasan frames it as the “seventh method” of founding a country, contrasting it with six traditional (and mostly unsuccessful or undesirable) methods: election, revolution, war, micronations, seasteading, and space colonization. All those either rely on violence or face impractical odds, whereas a network state can be built peacefully and incrementally like a startup. A recurring example he gives is the analogy to the Jewish diaspora and Zionism: a network state is like a “reversed diaspora” – instead of an ethnic or religious group dispersed by history, it’s a self-selected group of people coming together by choice around a principle and then dispersing themselves strategically to acquire land. Eventually, like historical diasporas that founded new nations (e.g. Israel for the Jewish people), a network state aims to coalesce into a sovereign entity.

Why pursue a network state? Srinivasan’s argument is normative as well as practical. He believes current nation-states are stuck in their past – their laws and institutions can’t easily adapt to the fast-changing digital era because they are constrained by historical borders, legacy constitutions, and entrenched interests. By contrast, a newly created state can start with a clean slate morally, legally, and technologically. “Creating > reforming,” he writes pointedly. Throughout this chapter, he stresses that technology (internet platforms, cryptocurrencies, remote coordination tools) has lowered the barriers to starting new scaled communities, much as it lowered barriers for entrepreneurs to start new companies. Anyone with a computer can “start a country” in the cloud now – a provocative but central claim of the book.

As an example of credibility through growth, Srinivasan invokes Bitcoin’s trajectory: early on it was mocked and ignored, but as it gained users and value it forced governments to acknowledge it. Similarly, a “startup society” that grows to millions of members and significant wealth can compel recognition. He also points to Estonia’s e-residency and “cloud citizenship” initiatives as harbingers of partial digital nationhood, and cites experiments like seasteading (floating communities) and charter cities as parallel efforts to escape the constraints of current political geography. These examples illustrate that the demand for new governance models is real, and network states are his proposed solution. By the end of Chapter 1, the reader has a clear vision that a network state starts as a social network and ends as a new country, and the rest of the book will elaborate why this is needed and how it intersects with history and geopolitics.

Chapter 2: History as Trajectory – The Moral and Technological Origins of New Societies

Chapter 2 zooms out to a historical and philosophical perspective. Srinivasan argues that to build a new state one must first understand how history made current states what they are, and identify the moral failures of present regimes that a new community could address. In other words, a startup society needs a moral justification for its existence – a reason it can claim to be “better” than the status quo. This chapter provides a conceptual toolkit: it examines how history is recorded (and distorted), how power and truth interact, and how societal paradigms shift over time. It culminates in the idea that new states should be founded on a single, clear moral innovation – dubbed “One Commandment” – which serves as their lodestar.

The role of history and moral purpose: Srinivasan begins by noting that “a startup country starts with a moral issue”, unlike a startup company which starts with a tech innovation. Since a new country asks people to join a new social contract, it must claim a moral high ground or solve a “moral deficit” in existing society. The founder’s job is twofold: (1) explain what moral failing or problem in today’s world the new community will fix, and (2) provide historical examples or precedents where this problem was absent or solved, to prove that a better society is possible. This sets the stage for the One Commandment concept – one guiding principle that the new state will uphold in contrast to legacy states. Srinivasan emphasizes history because, as he lists, history underpins legitimacy: people use historical arguments to win debates, justify laws (every regulation has a story behind it), and derive morality (major religions are rooted in historical narratives). Crucially, “history is written by the winners,” meaning our understanding of the past is often a product of power, not truth. This leads him to stress that a fresh reading of history (or even a re-recording of history using new tools) is needed to chart a new trajectory.

Microhistory vs. Macrohistory: To illustrate how we might get a clearer picture of truth, Srinivasan distinguishes microhistory (small-scale, reproducible historical experiments) from macrohistory (the grand, one-time trajectory of world events). He likens microhistory to something like “the history of a chess game” – something that can be repeated and analyzed statistically – whereas macrohistory is like the chaotic flow of all human affairs that we can’t rerun as an experiment. The larger point is that the more data and the more granular our understanding (the more we turn macro-problems into micro-analyses), the better we can learn and predict. History as usually told is too coarse-grained and often wrong or biased. “If the news is fake, imagine history,” he quips later in the chapter – meaning if media today can distort reality, then surely our history books (written under various regimes) might be full of distortions too.

Srinivasan sees blockchain ledgers and digital records as a breakthrough for recording truthful microhistories. “This is where Bitcoin becomes interesting. It’s the most accurate form of record because it (almost) cannot be falsified.” A public blockchain, which logs transactions or events transparently and tamper-proof, could serve as an immutable history for a community, as opposed to traditional archives that authorities can alter or censor. He envisions future historians sifting through on-chain logs to understand what really happened, rather than relying solely on state-approved documents. This is a recurring theme: technological truth vs. political power. In current systems, “political power triumphs over (tech) truth” – governments and media can spin or suppress facts. For example, Srinivasan notes how officials often use atrocity narratives to justify war or crackdowns (citing how both the Soviet Union and U.S. have cherry-picked historical wrongs to claim moral authority). To counter this, he advocates for a “bottom-up, cryptographic history” – a ledger of events that is distributed and verifiable, beyond any one winner’s control.

He surveys a range of historical models to draw insight from many lenses. These include: technological determinism (tech drives history forward), the helix model (history is cyclical and linear – “the same things happen over and over but with better technology”), the Ozymandias model (civilizations can collapse entirely), the “Great Founder” or tech tree model (great individuals make history, but only within the limits of what technology exists at the time), and even opposing heuristics like the “train crash” vs. “idea maze” models (either ignorance of history dooms us to repeat it, or excessive knowledge of history can stifle innovation because people think “that failed before” when conditions have changed). The details of each model are less important than the conclusion he draws: both political narratives and technological realities shape history. He asserts that “political incentives favor propagating useful narratives, while technological incentives favor truths that work”. A successful new state must harmonize these – embrace rational, data-driven “tech truth” without neglecting the power of narrative and identity (the “nation” side of nation-state). This balance between nationalism (social cohesion around a story) and rationalism (hard truths and science) is presented as essential.

God, State, Network – The Evolving Leviathans: One of the chapter’s most striking frameworks is the idea that society’s overarching authority, the Leviathan (a term from Hobbes), has changed form over time: from God to the State to, now, the Network. Srinivasan sketches this progression:

  • God as Leviathan (the age of religion): For centuries, religious belief was the highest authority that kept order – people behaved because of divine oversight and fear of hell. The community of the faithful (the “People of God”) was primary. He cites Nietzsche’s “God is dead” to mark how this waned in the 1800s as elites lost their fear of divine punishment.
  • State as Leviathan (the age of nationalism): With secularization, the nation-state took God’s place in the 19th and 20th centuries. Now “if you committed a crime, God wouldn’t punish you – but the State certainly would.” The “People of the State” (citizens bound by patriotism and law) became the defining identity. This era saw the rise of industrial warfare and world wars – the violent apotheosis of state power.
  • Network as Leviathan (the digital age): Today, Srinivasan argues, both the old religious order and the post-WWII nation-state order are eroding. “The next Leviathan is the Network – the Internet and the crypto network.” In a world of ubiquitous connectivity, he who controls the network (or algorithm) wields power. “If you commit a crime, the network will punish you,” he suggests, meaning that deplatforming, digital surveillance, or smart contract code could enforce rules where police used to. He even asserts, provocatively, “Today, the most powerful force isn’t God or the US Army. It’s the blockchain.” This is because strong encryption and decentralized ledgers limit what states can do“Encryption > state violence,” since a government cannot brute-force break modern crypto and thus cannot seize encrypted assets or spy on encrypted communication. Likewise, “crypto economy > fiat economy” (states can’t easily censor or inflate cryptocurrency) and “peer-to-peer > state media” (the internet routes around information gatekeepers). Srinivasan gives a flurry of “X > Y” comparisons: e.g., social > national (online social networks undermine geographically-bound civic unity), mobile > sessile (people can move more freely with smartphones/remote work, so borders are less binding), virtual reality > physical proximity (VR can create new worlds with their own rules, offering escape from local laws), smart contracts > legal contracts (code executes faster and more predictably than traditional law), cryptographic verification > official confirmation (blockchain truth vs. government claims). All these illustrate how technology can empower individuals and new groups at the expense of traditional state authority.

Importantly, Srinivasan does not claim the state is already obsolete – rather, we are in a transitional clash between network power and state power. He notes that states still have “teeth,” evidenced by things like the reach of the Chinese Communist Party or even Western governments’ ability to enforce lockdowns and censor information via Big Tech collaborations. He draws a parallel that the U.S. and China are each melding state and network power in different ways: The U.S. establishment informally coordinates with social networks and media (creating a de facto “woke” theocracy of censors and fact-checkers), whereas China’s regime explicitly controls tech and uses it for surveillance. In both cases, the lines between government and network are blurring. He terms an alliance of an existing state with network power a “network/state” (with a slash) and distinguishes “positive network/state” fusions – e.g. “El Salvador embracing Bitcoin” or Estonia’s e-governance (a government adopting network principles to empower citizens) – from negative network/state fusions like “China using tech to spy and control” or the U.S. government using Big Tech to quash dissent. These examples serve as warnings that if we don’t create new network states, existing states might co-opt networks for authoritarian ends.

Ultimately, Chapter 2 argues that for a network state to succeed, it must offer what neither God nor the State now fully offers: meaning. Srinivasan writes, “The network state offers greater efficiency and consent. But it doesn’t yet offer meaning. This is why you need a One Commandment.” In other words, while technology can provide the tools (efficiency, cryptographic security, decentralized consensus), people still crave a shared purpose or moral vision (the kind religions or grand political ideologies provided). One Commandment is his term for the innovative moral rule or principle that each new startup society should adopt to bind its members. Just as major religions had Ten Commandments, he cheekily says a startup society only needs one – a single key idea that “other countries have missed” and which is historically and scientifically true.

Illustrative examples of One Commandment communities: Srinivasan gives concrete examples of possible startup societies, each defined by their “one commandment”:

  • The Cancel-Proof Society: A purely digital network union devoted to the principle that cancel culture is wrong. Its One Commandment might be “Thou shalt not cancel others for speech.” In practice, this community could form a solidarity network that comes to the defense of any member who is mobbed or deplatformed online. The author notes this could start as just a Discord group that mobilizes support whenever someone is unfairly canceled – a small-scale moral community enforcing free speech norms.
  • Keto Kosher (Anti-Sugar Society): A network archipelago (digital + physical) built around the idea that sugar is a poison to modern health. Its moral stance: “Sugar is bad” (much like some religions prohibit certain foods). Members commit to a ketogenic/low-carb lifestyle, and the community would crowdfund apartments or even towns where sugar and processed foods are banned at the “border”. This tongue-in-cheek example shows a health-based One Commandment – a reaction to the obesity epidemic and a critique of nations’ public health failures. The name “Keto Kosher” implies a quasi-religious approach to diet (kosher laws for sugar).
  • The Digital Sabbath Society: A community asserting that constant connectivity is harmful. One Commandment: “Regularly unplug from the internet.” It might operate retreats or residential areas where internet access is cut off at certain hours, enforcing periodic digital fasting. This addresses the workaholic, screen-addicted pace of modern life – a moral stance on tech usage itself.
  • “Your Body, Your Choice” – The Post-FDA Society: A more radical example aimed at personal freedom in healthcare. Its core principle: individuals should have the absolute right to buy or sell any medical product (complete medical libertarianism). To actually practice this, such a community would need diplomatic recognition and a legal jurisdiction (a “sanctuary” city or enclave) because it flouts existing drug and safety laws. Srinivasan suggests this as an example of a network state that does acquire recognition to allow a controversial freedom – effectively creating an opt-in regulatory regime for its citizens.

These examples underscore how a network state’s legitimacy comes from fulfilling a moral or policy niche that existing states ignore or mishandle. They also show how Chapters 1 and 2 interconnect: Chapter 1 gave the mechanics of forming a network state, and Chapter 2 provides the animating spirit (the mission or cause). Srinivasan’s view is that a successful new country will be born not just from tech savvy, but from “moral entrepreneurship” – identifying a societal problem (health, speech, governance, etc.) and rallying people who passionately want a solution.

In summary, Chapter 2 lays the philosophical groundwork: it critiques how nations derive moral authority from curated history and shows that in the internet age those narratives are breaking down (“if the news is fake…history?”). It then posits that new, internet-native communities can use technology (blockchains, encryption) to establish truth and trust, but they must also supply meaning via a clear moral proposition. This sets the stage for the more contemporary analyses in the next chapters, which explain the current geopolitical “moment” and future scenarios that make room for network states.

Chapter 3: The Tripolar Moment – U.S., China, and Bitcoin as Competing Powers

Where Chapter 2 looked at the past to justify new states, Chapter 3 analyzes the present world order, contending that we are in a “tripolar” moment in which three major factions compete for global influence. Srinivasan identifies these poles as: (1) the American establishment (and its attendant media/cultural ideology), (2) the Chinese Communist Party (authoritarian state capitalism), and (3) the decentralized crypto network (epitomized by Bitcoin and web3 communities). Each represents a different organizing principle – respectively, “Woke Capitalism” or liberal democracy (though Srinivasan is critical of its current trajectory), Communist/State Capitalism, and Decentralized Technological Capitalism. This chapter’s key argument is that virtually everyone will have to navigate between these three power centers, and that none of them alone offers a universally appealing future. This context is crucial because it illustrates the void that network states could fill (a fourth alternative or a neutral ground). It also introduces conceptual frameworks like “moral vs. martial vs. money power” and how legitimacy is earned in each domain.

Three poles – NYT, CCP, BTC: Srinivasan often labels the poles with shorthand symbols. In a memorable table, he compares:

  • The “NYT” (New York Times) faction – the American establishment. Here “NYT” stands for the Western media and institutional elite that shape narrative and policy in the U.S. and allied countries. He calls this the “woke capital” ideology: a blend of capitalist economics with progressive (sometimes censorious) social values, coupled with U.S. military power (“drone-strike democracy” as he sardonically terms it). The source of truth for this pole is “The New York Times” – i.e., mainstream media and academia define what is true and acceptable. Its economy runs on the U.S. dollar (USD) and its legitimacy on liberal democratic claims (though Srinivasan argues it has become a largely unaccountable bureaucracy).
  • The “CCP” faction – China’s one-party state. Its source of truth is “The Party” (top-down dictates and censored information). Its economy is the controlled Yuan/RMB system. Its ideology is centralized or nationalist capitalism (nominally communist, but effectively Han Chinese nationalism plus state-directed market economics). This pole emphasizes martial power (hard power, surveillance, territorial control) and nationalist unity. Srinivasan describes it as a network too – the Party has ~95 million members, a “network” that permeates Chinese society and even requires a rigorous application (essays on Marxism, sponsor vouches, probation period) to join. In effect, the CCP is like a massive ideological union that is distinct from the Chinese state it controls – that’s why he calls it a “martial network” rather than just a state apparatus.
  • The “BTC” faction – the cryptocurrency and web3 ecosystem. Its source of truth is “the protocol” – open-source blockchain consensus (what the ledger says is true). Its economy is cryptocurrencies (Bitcoin foremost, but also others). Its ideology is decentralized digital libertarianism, which Srinivasan frames as neutral or “aracial libertarianism” (since anyone can join, and the system doesn’t see race or nationality). This pole has money power at its core – it’s challenging the monopoly of money creation and transaction held by states. It’s also building a new media ecosystem: he notes that Bitcoin and crypto communities are starting to create their own news channels, social networks, and influencers, meaning over time they could rival institutions like the NYT in shaping public opinion.

Srinivasan’s tripolar model is a conceptual framework highlighting a shift from a unipolar or bipolar Cold War world to a new triangle of power. In 1990, after the USSR fell, the world was unipolar under the U.S. Now (2020s), he says even the U.S. internally is “bipolar” (split between two domestic factions), and the world is tripolar. The domestic U.S. split is important: one could say the American establishment itself has two wings – one more aligned with the “NYT/woke” worldview and another sympathetic to the crypto, decentralized ethos (think tech libertarians, Bitcoin enthusiasts, etc.). This foreshadows his later point that a U.S. internal conflict could arise between those two visions.

Moral, Martial, and Monetary Power: In a historical analogy, Srinivasan compares the current trio to roles played in the 20th century. He claims in the 1900s: “the moral power was the USSR, the money power was the US, and the martial power was the Nazis”. That is, communism wielded ideological/moral appeal (at least to some, as an idea of justice), the U.S. wielded financial might, and Nazi Germany tragically wielded raw military force. All three were states. Today, he says, “these powers are networks”:

  • NYT-led network as Moral Power: It’s not a state but a conglomerate of media, universities, NGOs – a network that claims moral authority (e.g., human rights, democracy rhetoric) and can pressure governments by shaping public opinion. Srinivasan describes the New York Times (symbolic of mainstream media) as “the moral network” in the sense that it positions itself as the arbiter of truth and virtue, “holding governments to account”. However, he criticizes that “their articles aren’t factual, but moral” – implying an activist slant – and likens NYT-driven cancellation campaigns to the USSR’s ideological purges (“cancels ‘for democracy’ much as Soviets destroyed lives ‘for the greater good’”).
  • CCP as Martial Network: While the CCP obviously controls a state (China), Srinivasan emphasizes it operates like a networked organization that transcends a normal government bureaucracy. With nearly 100 million members all pledged to an ideology, it’s a Party-network that has cells in every company, region, and even abroad. The CCP demands intense loyalty and is structured more like a massive union or fraternity than a typical political party (he illustrates this with the detailed application process). He labels it the “martial power” of today because under Xi Jinping it has become very military- and control-focused, building hard power and a surveillance state.
  • Bitcoin/Crypto as Money Network: Bitcoin began as just code, but it spawned a global community that is leaderless, borderless, yet aligned by a protocol – a true network. Its power started in money (finance) but is expanding into media and technology. Srinivasan notes Bitcoin is “becoming a media network” too, as many companies and creators in the crypto space create content, propagate memes (like the Bitcoin community’s narratives about freedom), and challenge mainstream media accounts. In the long run, this network could even “take over the NYT” in influence, he suggests, because it unites financial incentive with information distribution.

Having laid out the trio, Srinivasan explores how each legitimizes itself and how they conflict. In Section 3.5 “Submission, Sympathy, Sovereignty,” he summarizes each faction’s mode of persuasion or ideology of power:

  • The CCP’s message to people (especially domestically) is essentially “Submit to me, I am more powerful”. It’s raw power and authority – legitimacy through strength and delivering stability/prosperity (at the cost of freedom). This is a straightforward authoritarian bargain.
  • The NYT/Woke message is “You are guilty (an oppressor), so you must sympathize with and yield to the victims”. This encapsulates the social justice or “woke” rationale that demands moral submission: people in the West are told to atone for various historical or identity-based injustices by empowering certain groups and silencing others. Srinivasan sees this as a form of control via moralizing and shaming, quite opposite to the CCP’s approach, but similarly demanding obedience (to the ever-changing moral narrative).
  • The BTC/Crypto ethos says “Empower yourself and escape control – claim sovereignty as an individual”. It’s practically the opposite of the other two: where CCP wants obedience and NYT faction wants contrition, the crypto world tells people to take responsibility for their own fate (hold your own keys, be your own bank, speak freely on uncensorable platforms). It’s a very libertarian, “don’t tread on me” ideal of sovereignty, appealing especially to those who feel stifled by the other two poles.

Given such divergent values, conflict is inevitable. In Section 3.6 “Conflicts and Alliances,” Srinivasan outlines how the poles might clash or align. He acknowledges that each bloc also has internal dissenters: e.g., within the NYT camp, not all Westerners are “woke” – there are moderate liberals or libertarians in America who dislike cancel culture (he calls them “non-woke Democratic voters”). Within China, there are capitalists or liberals who preferred the more open China of decades past (before Xi’s heavy-handed turn). Within crypto, there are people who are not maximalists (they might hold Bitcoin but also trust some institutions). So these sub-factions could create shifting alliances.

He posits that many countries or groups outside the U.S.-China duopoly will be pressured to choose a side – and if they reject both, “they’ll naturally join BTC” by default. This foreshadows Chapter 4’s idea of an “International Intermediate” alliance. We already see glimmers: for instance, some smaller countries (like El Salvador or certain Eastern European and African nations) are exploring Bitcoin or decentralized tech to reduce reliance on either superpower’s systems. Srinivasan is essentially predicting a realignment where the third pole (decentralized network) becomes a refuge or rallying point for those who want neither an American-led nor Chinese-led order.

In summary, Chapter 3 uses geopolitical analysis to set the stage for why network states might gain adherents. The world is no longer united under a single model of liberal democracy; it’s fracturing into (at least) three visions, and this chaos creates an opening for startup societies. Notably, Srinivasan’s framing casts the U.S. establishment in a critical light similar to how one might criticize the Chinese regime – he sees both as hegemonic forces (one using soft power and moralism, the other using surveillance and nationalism) that ultimately demand conformity. This underscores a recurring theme: exit versus voice. Instead of taking a side in the US-vs-China (or left-vs-right) battles, Srinivasan advocates exiting to a new system – building opt-in societies enabled by crypto tech. Chapter 3’s tripolar world description is the strategic backdrop for that: those dissatisfied with both East and West will look for an “exit” option, which network states aim to provide.

Chapter 4: Decentralization, Recentralization – Future Scenarios and the Case for a New Center

In Chapter 4, Srinivasan turns toward the future, exploring possible scenarios for how the tensions outlined in Chapter 3 could play out. The title “Decentralization, Recentralization” reflects a core insight: history may be entering a phase of fragmentation (decentralization of power away from the old nation-state status quo), but this could be followed by a “recentralization” around new structures – potentially the network states. He describes various futures (American anarchy, Chinese control, etc.) and introduces the concept of an “International Intermediate” – a new centrist alignment of those who reject both U.S. wokeism and Chinese authoritarianism. This “Intermediate” essentially foreshadows a coalition of network states or allied polities that form a new world order. The chapter is rich with speculative thought experiments, but they all serve to reinforce why building new decentralized states is both necessary and plausible amid global upheaval.

Multiple Futures, Not One: Srinivasan prefaces that unlike deterministic futurists, he sees many “possible futures” because outcomes depend on human action – “we have the power to build it”. He cautions against linear predictions, citing four factors that increase uncertainty:

  • Volatility: The internet and social media have introduced high social volatility (trends, panics, and movements can spike suddenly), and cryptocurrencies introduce high economic volatility. So rapid swings or unforeseen events (e.g., viral mobilizations, market crashes) are more likely. Example: a hashtag could ignite nationwide protests overnight, or a crypto collapse could destabilize economies – wildcards that make the future less predictable.
  • Reflexivity: People’s beliefs about the system feed back into the system. If everyone expects chaos, they might act in ways that cause chaos (self-fulfilling prophecy). If people anticipate a government crackdown, they might preemptively exit, causing the very instability that provokes a crackdown. This loop makes straightforward prediction harder – any forecast can change the behavior of those who hear it.
  • Competing Curves: There are multiple technologies and social movements developing concurrently – the network state may not be the only solution. Maybe AI, or a strong AI-ruled state, or some other unforeseen innovation could dominate instead. Srinivasan acknowledges the network state is one contender among many, not an inevitability.
  • Limits of predictability: Aside from physics or closed systems, social prediction is fraught. He echoes the maxim “all models are wrong, but some are useful”, implying we should treat his scenarios as sketches, not certainties.

Despite these caveats, he identifies a trend: the collision of the three poles (US, China, Crypto) and the rise of network states out of the turmoil. In other words, global volatility may shake loose the old order, and something like network states could recentralize stability in a new form. He calls this emerging pole the “Recentralized Center” or “International Intermediate”. This is basically everyone who wants to avoid both extremes of the existing superpowers. It includes countries, organizations, and individuals who might band together around a new model of governance that values freedom, technological progress, and voluntary association (versus the coercion or ideological conformity demanded by the other poles). The way to unite these disparate actors, he says, is innovating something better – effectively offering a positive vision that outcompetes the US/China models. This positive vision is precisely what the network state embodies in Srinivasan’s view: a society with greater democracy (or voluntary entry/exit) than China and greater cultural cohesion and technological competence than a polarized United States.

To better understand the drivers of change, Srinivasan introduces two sets of “axes”: sociopolitical axes and technoeconomic axes. These are lenses to examine emerging divisions that don’t map cleanly onto old left-right politics or East-West geography:

  • Sociopolitical Axes: One example he gives is “International Indians” – highlighting India’s rise. India is modernizing fast, producing many tech entrepreneurs, and has a 5-million strong diaspora in the West that is often quite influential. He suggests India (and its global network of expatriates) will be a key player in the new alignment. This hints that India might align with neither US nor China fully, potentially gravitating to a third path or being pivotal in the Intermediate coalition. Another sociopolitical axis is Transhumanists vs. Anarcho-Primitivists: essentially, those who enthusiastically embrace technology’s modification of humanity (think biohackers, AI enthusiasts, World Economic Forum types) versus those who reject modern tech to return to simpler living (think eco-radicals, Amish-like movements). Notably, both camps come in left- and right-wing variants, meaning the traditional left-right spectrum is scrambled on this issue. For instance, a left-transhumanist might push for technocratic control (as in some WEF ideas), while a right-transhumanist might be a libertarian biohacker; conversely, a right-wing anarcho-primitivist might be a survivalist, while a left-wing one might be an anti-tech green activist. By mentioning this, Srinivasan shows that new ideological cleavages are forming that transcend nationality – people around the world align with or against technology’s trajectory. A network state could explicitly cater to one of these philosophies (imagine a transhumanist network state experimenting with gene editing freedoms, or a neo-luddite network state that bans certain tech). Finally, he introduces the Identity Stack concept: each person has multiple layers of identity (nationality, religion, city, profession, hobbies, online communities, etc.), but one tends to dominate as their primary loyalty. In an age of mobile, networked lives, that primary identity might not be their country anymore – it could be an online community, an ideology, or something else. “Everyone is patriotic about at least one thing,” he writes – be it their nation, or Bitcoin, or a subculture. For a startup society to succeed, it needs to rank high in someone’s identity stack – ideally become their top identity (“I am first and foremost a citizen of X Network State”). This ties back to the One Commandment idea: a strong moral cause can elevate a network state to primary importance in members’ hearts, beyond their old nationality.

  • Technoeconomic Axes: Here, Srinivasan discusses how technology (especially the internet) is amplifying variability in outcomes – we get bigger booms and busts socially and financially. “The internet increases variance” in everything. He compares social media’s effect to the Soviet policy of glasnost (sudden free speech) and crypto’s effect to perestroika (market liberalization) – reforms that introduced instability in the USSR, ultimately contributing to its collapse. By analogy, the openness and freedom of the internet might be destabilizing today’s ossified institutions (which were not built to handle so much free flow of information and capital). Indeed, “Few institutions born before the Internet will survive it,” he declares, because the digital world is now primary and many legacy structures are crumbling under digital pressure. One striking line: “Now it’s not just about remote work, but remote life.” The pandemic proved that education, work, commerce, even governance can happen largely online – meaning geography is less determinant. He points out that by 2020, essentially all sectors (even ones like medicine, government, education that resisted digitization) were forced to go online due to COVID. This accelerated the trend that “all value is digital” or at least digitally mediated. Yet, he observes a paradox: despite advanced tech, productivity in the physical world has stagnated or even declined (e.g., construction is slower, infrastructure projects are mired in red tape). He lists theories for this “Great Stagnation”:

    • The Great Distraction: We save time with tech in one area only to waste it on social media and entertainment.
    • The Great Dissipation: Regulatory and compliance burdens eat up all the gains (lots of paperwork, legal hoops).
    • The Great Dilemma: Culture and law now require years of study and process before building anything (overcautiousness), slowing innovation.
    • The Great Dumbness: We have the tech, but institutions make foolish decisions (e.g., contrast China building a train station in 9 hours versus Western projects taking years).
    • The Great Delay: Perhaps gains are real but just taking time to materialize fully – once we automate everything, productivity will leap, but we’re in a transition.

    This discussion, while somewhat tangential, reinforces why new governance approaches might be needed: maybe current governments are the ones causing the Great Dissipation and Delay with bureaucracy and outdated rules. A network state starting fresh could optimize for efficiency and actually realize the promise of high-tech productivity by cutting through legacy inertia. It also underscores that people are frustrated – they sense technological progress but don’t see it in their everyday life (affordable housing, faster transport, etc.), leading to political disillusionment. A network state could be a proving ground for doing things differently – e.g., a charter city that builds ultramodern infrastructure in a fraction of the time by bypassing old regulations, or a cloud community that coordinates R&D faster.

After analyzing these axes, Srinivasan moves to explicit scenarios in Sections 4.5 and 4.6:

American Anarchy, Chinese Control, International Intermediate (Section 4.5): He paints three big scenarios:

  1. American Anarchy: The United States, due to extreme polarization and institutional decay, could spiral into civil conflict – essentially a second civil war. He bullet-points why: polarization is at a peak, federal authority is distrusted, economic conditions are worsening, social media amplifies envy and hatred, states (like red vs blue states) are increasingly defiant of federal mandates, etc.. A particularly interesting point: he suggests a Bitcoin seizure by a bankrupt U.S. government could be a trigger for conflict. If the U.S. tried to outlaw or confiscate cryptocurrency (to prop up the dollar or for control), crypto-aligned citizens might literally rebel, since many of them are deeply ideologically committed to financial freedom. In his framing, “the woke state” (the establishment) and “the Bitcoin maximalists” are on a collision course if things get dire. This is speculative, but it highlights how the crypto network (pole 3 from Chapter 3) could come into direct conflict with the U.S. pole on U.S. soil. Srinivasan clearly hopes to avoid this violent outcome (hence building peaceful opt-out network states), but he’s warning it’s possible.

  2. Chinese Control: In China, he imagines an opposite but equally dystopian outcome – total techno-totalitarianism. Perhaps triggered by an attempted coup or internal unrest, the CCP clamps down even harder, locking the country into a high-surveillance, AI-driven dictatorship that then exports its model abroad. He lists signs: Xi Jinping already purged rivals across the spectrum (from liberals in Hong Kong to corrupt officials to tech billionaires – showing the Party tolerates no challenge). China has been developing a comprehensive surveillance stack (mandatory digital yuan that can be frozen, health QR codes that control movement, “smart city” kits including cameras and facial recognition) and has pilot tested them during COVID lockdowns. If this architecture gets locked in and “sold to other states”, many authoritarian-leaning governments around the world might adopt Chinese surveillance tech and methods (some are already doing so). The result is a planet where large regions operate like CCP franchises – a nightmare for freedom. Srinivasan does note a twist: Chinese population might accept this outcome due to rising nationalism (they trust their government more now than in the past), so externally it’s scary but internally it could be stable, at least for a time.

  3. International Intermediate: This is Srinivasan’s preferred scenario – a third grouping emerges composed of everyone who doesn’t want scenario 1 or 2. He calls it the “Recentralized Center” or simply “the II” (International Intermediate). This would include certain nations (potentially India, parts of Europe, maybe some in Latin America or Africa), as well as millions of individuals globally, and crucially the network states and startup societies being built. They align to uphold a different order that values decentralization but avoids both the chaos of anarchy and the oppression of dictatorship. One can think of it as a new Non-Aligned Movement, but instead of being passive, it’s proactive in building a new system. The network state concept provides the blueprint for what they build: new communities with rule of law, rights, and technological sophistication, but without the baggage of the U.S. and Chinese systems. Srinivasan frames this not as pure decentralization (which he equates with a kind of anarchy), but as a “recentralization” around a better center. In other words, after a period of fragmentation, humans will still seek governance and cohesion – the goal is to have those new centers be opt-in and network-driven rather than defined by 19th-century borders.

Victory Conditions and Surprise Endings (Section 4.6): Next, Srinivasan speculates on how each major player could “win” or how unexpected alliances might form:

  • A U.S. establishment victory might mean the Western liberal order, even after internal conflict, reasserts itself and retains global leadership – “the West has always won…no reason it won’t again”, he notes wryly. This assumes the U.S. overcomes its internal anarchy and tech challenges.
  • A CCP victory means China becomes the dominant superpower and turns inward, creating a wealthy but closed empire. He mentions “luxury communism” – an idea that advanced automation might allow the CCP to provide high living standards without political freedom, making their model attractive or at least sustainable. Robots (directed by AI) could replace workers, and the state allocates abundant goods, achieving prosperity alongside total control – a sci-fi version of communism where AI is the new central planner.
  • Surprise alliance: One striking possibility he raises is “the CCP and US establishment work together to stop BTC.” This would be like two old rivals teaming up against a common threat (he analogizes it to the U.S. and USSR briefly aligning to defeat Iraq in the Gulf War). It’s not impossible – one could imagine Washington and Beijing both seeing stateless cryptocurrency as a threat and coordinating on draconian global regulations or technical measures to neuter it. If both major powers agreed to shut down crypto exchanges, attack mining, etc., the crypto network might struggle (although its decentralized nature is designed to resist exactly such crackdowns). This scenario underscores that the two big Leviathans might bury the hatchet to squash the upstart third.
  • Surprise outcome: “BTC ends human wars, but not robot wars.” This imaginative twist suggests: if Bitcoin (shorthand for crypto) becomes global money, states can’t print money for war or seize funds to finance armies, potentially reducing human conflict (no money, no war). However, nations or groups might then build autonomous robot armies (which don’t require salaries or traditional logistics) and still fight, meaning war could continue in another form (drones, AI bots battling without direct human soldiers). It’s a futurist musing on how technology could change the nature of conflict.

Finally, in Section 4.7 “Towards a Recentralized Center,” Srinivasan concludes that the answer is not to revel in chaos or destroy all institutions, but to build better institutions. “Our institutions are failing. We don’t need no institutions, but new ones. That’s the network state.”. This line encapsulates a recurring theme: he rejects pure nihilism or anarchism – humans still need governance, community, and order (“institutions”). But instead of the old nation-state institutions that are failing (due to corruption, partisanship, slowness), we should create new institutions fit for the digital age. The network state is presented as precisely that: a reimagined institution of governance, built by private initiative, incorporating technological tools, and grounded in a voluntary social contract around a moral principle. It’s essentially his answer to all the scenarios: no matter which way things go, having network states in the mix provides resilience. If the U.S. or China falter, network states can carry forward progress in pockets. If the U.S. and China become tyrannical, network states offer escape and experimentation. If they both remain strong, network states can still innovate on the margins and potentially influence reform.

In summary, Chapter 4 ties together the present and future: it takes the tripolar tensions of Chapter 3 and asks, “What next? How do we avoid the worst?” Srinivasan’s answer is the Recentralized Center of Network States – essentially a new peaceful superpower made of many aligned startup societies. This sets up Chapter 5, which dives deeper into the nuts and bolts of transitioning from the current nation-state system to the network state system. The interplay is clear: Chapters 3 and 4 gave the macro why (the world needs a new solution amid upheaval), and now Chapter 5 will give the how at the structural level.

Chapter 5: From Nation-States to Network States – Replacing the Old System with the New

The final chapter synthesizes the book’s proposals and contrasts the old world of nation-states with the new world of network states. It is both descriptive – explaining what nation-states are and why they are the way they are – and prescriptive – outlining how network states differ and why they can be the successors. Srinivasan effectively formalizes a conceptual framework for understanding sovereignty in the two eras (industrial age vs information age). He also recaps the blueprint to actually create a network state, tying back to Chapter 1’s quickstart but now with the full philosophical and geopolitical context established.

Why Now? Srinivasan first asks, why is this the moment to attempt starting new countries? He harkens back to definitions: what is a nation-state? and why did history produce the nation-state system we have today?. By dissecting this, he identifies both the strengths and constraints of the nation-state, which the network state will re-engineer.

Definition of Nation-State: He gives a basic definition (citing Britannica): “a nation-state is a territorial polity, ruled in the name of a community of citizens who identify as a nation.” In simpler terms, it’s a country on a map with a government and a people who (supposedly) share a common identity or culture. Crucially, it’s tied to geography. Srinivasan emphasizes that the nation-state system (the global order of countries) operates like a club with certain rules. He enumerates eight rules that define the modern international order (these are drawn from author Joshua Keating’s description of country “club rules,” which Srinivasan quotes and paraphrases):

  • (1) Borders are mutually recognized. Each country has a defined territory, and other countries agree to respect those boundaries.
  • (2) A country must have a state (government) that asserts a monopoly on force inside its borders, and a resident population (citizens).
  • (3) Every spot on land is claimed by some country. There is no terra incognita left on Earth’s landmass – no blank spaces; it’s all divided up.
  • (4) Every person is a citizen of at least one country. In theory, statelessness is an anomaly; everyone belongs to the system, you can’t opt out of having a nationality.
  • (5) All countries are legally sovereign equals on paper. Tiny Tuvalu and huge China have equal status under international law (one country, one vote in the UN, etc.), even if power-wise they differ.
  • (6) Consent of the governed is preferred but not required. Democracies and dictatorships are both still recognized as states. A regime doesn’t lose its statehood just for being undemocratic or failing morally. Human rights abuses or tyranny don’t get you kicked out of the “club” of nations (North Korea is still a country, for example).
  • (7) No elimination of countries by force (post-WWII norm). Countries might invade each other, but the norm is you don’t extinguish another UN-recognized country entirely or annex it outright. Borders can move rarely, but generally, even war doesn’t destroy the status of a nation (e.g., Kuwait was occupied by Iraq but remained recognized as Kuwait). The “club” is very reluctant to accept outright conquest or secession that redraws maps.
  • (8) No new countries (border fixes). The current set of countries and borders is expected to remain mostly static; secession or forming a new country is discouraged. The international community generally opposes breakaway movements (hence the rarity of new nations except via decolonization or mutual agreement).

These rules show the inertia of the nation-state system. Srinivasan points out they are enforced by institutions like the UN and by major powers (the U.S. especially, which underwrites “cartographic stasis” – the frozen map). The system assumes a “physical first” world: geography is primary, and political authority is mapped to land. Additionally, he lists assumptions we make because of these rules:

  • The world is fully discovered (no terra incognita left to explore or claim).
  • There’s no unclaimed land (no terra nullius); even uninhabited rocks are owned by someone.
  • Land is divided top-down by lines on a map. Every square inch has a government jurisdiction.
  • One person, one state: People generally have one nationality; changing it is rare, and citizenship usually comes by birth (jus sanguinis or jus soli).
  • Legitimacy comes from control and maybe elections: A state is legitimate if it can maintain order internally (monopoly of violence) and is ideally supported by its people’s consent and respects rights (though in practice brute force often ends up getting recognized too).
  • Centralized administration: A nation-state typically has a hierarchical government (executive, legislature, bureaucracy, courts) making and enforcing laws uniformly over its territory.
  • Domestic monopoly on violence: Only the state’s police/military can use force; private force is suppressed.
  • International sovereignty is backed by military might: Ultimately, a state’s independence is guaranteed by force (its own or an ally’s). Srinivasan notes “Pax Americana” – the U.S. military has been the ultimate enforcer of the global order after WWII.
  • Diplomatic recognition and treaties govern interactions: Being recognized by others (having embassies, UN seat) is crucial; without recognition, a would-be country struggles (no trade, no security guarantees).

He distills six essential parts of the state from this: borders, population, central government, international sovereignty, diplomatic recognition, and domestic force monopoly. And a nation-state specifically has two components: a nation (a cultural/ethnic “people”) and a state (the governing apparatus). When those align, you get a nation-state (e.g. Japan, where Japanese people = Japanese state). He observes problems like micronations failed because they tried to declare a state (and territory) without having a real nation (a people) first. Conversely, empires (like Rome or the Austro-Hungarian Empire) failed in part because they were a state with many nations, lacking unity. The lesson for network states is: you must build the nation (community) first, then the state – exactly what he’s been arguing (cloud first, land last).

Up to this point, Chapter 5 has effectively diagnosed why existing countries are so hard to change: their very definitions and international norms lock in the status quo. Secession is discouraged (Rule 8), internal reform is slow due to historical baggage, and there’s no vacant land to try something new. This is why, Srinivasan argues, we have to innovate in the digital realm – to find a loophole or alternative path to statehood.

On Network States: Now he systematically contrasts a network state’s assumptions to the above:

  • Digital first: Instead of territory first, a network state starts online. The community (nation) forms in the cloud around an idea (One Commandment) before any land is acquired. Territory is an endgame, not a starting point. This flips the “physical first” rule.
  • Composition: A network state still needs a nation and a state, but in this context, the nation is an online network (a digital community of people with shared values) and the state is a “governance network” – essentially the leadership and smart contract infrastructure that administer the community. They are intertwined networks rather than a people tied to a land and a bureaucratic hierarchy.
  • Terra incognita returns: While Earth’s physical land is all claimed, the digital realm is like a new frontier – unlimited “territory” in terms of new online domains, virtual worlds, and also the idea that some network communities might operate stealthily (“incognito”) until they are strong enough. He even suggests a network could keep some aspects secret to protect itself (e.g. members who are pseudonymous for safety).
  • Terra nullius returns: There are always new niches or unclaimed “lands” in cyberspace – new niches of values or social space that no state controls (for example, the Bitcoin network itself was like a new digital territory that emerged). Also, if needed, network states might find physical footholds in underutilized places (perhaps seasteads, private land buys, or special zones), effectively creating new “land” for communities that didn’t exist on the political map.
  • Bottom-up voluntary migration: Instead of being assigned a citizenship by birth and having to stay put, people will choose their network affiliations. Membership in a network state is voluntary – you opt in because you agree with its One Commandment or mission. Likewise, you can exit if you no longer align or if the governance fails you (enabled by crypto: your assets and identity are portable). This is a huge shift: a network state “flips the power dynamic” because citizens are customers in a sense – they can leave, so the governance has to remain accountable and appealing.
  • Multiple citizenships (N networks per citizen): In a network state world, one person could belong to several networks simultaneously. For instance, one might be part of a Keto Kosher community and a digital art commune and still hold a legacy national citizenship. This breaks the exclusivity of nation-states (today dual citizenship is allowed in some cases, but generally one primary national identity dominates). In network states, identity is modular – you might devote, say, your healthcare and science pursuits to a “post-FDA” network state, and your cultural life to a different network, etc. This polycentric citizenship is a novel idea.
  • Legitimacy from consent and value, not just force or birth: A network state’s legitimacy comes from people choosing to join (often by physically moving to its hubs or contributing financially) and remaining because it delivers value – “legitimacy from physical migration and digital choice”. It’s a market-driven legitimacy rather than historical or coercive. If a network state stops delivering (say it becomes oppressive or fails its mission), people can withdraw their consent by leaving – a very literal application of consent of the governed.
  • Decentralized administration: Rather than a single centralized government writing paper laws, network states could govern via smart contracts, DAOs (decentralized autonomous organizations), and on-chain votes. Srinivasan envisions governance being more participatory and algorithmically enforced. For example, rules might be encoded in the community’s blockchain; decisions could be made by token-holder voting; many functions could be automated. This doesn’t mean no leadership (he does mention a recognized founder/leader is often present), but it means the apparatus of governance is transparent and distributed, not hidden in bureaucracies.
  • Domestic “monopoly of root access”: This is a play on the “monopoly of violence” concept. In a network state, coercive force is minimal (since it’s voluntary), but the “power” the state has is control over the digital infrastructure – the servers, the cryptographic keys, the platform rules. Srinivasan says the governance of a network state can control almost everything within the network’s digital domain (just like a sysadmin has root access on a server). However, if they abuse that power, members can fork the code or leave with their private keys (their assets/identity), so there’s a built-in check. In short, network states enforce order via code and community enforcement, not armed police – and if leadership misbehaves, people exit rather than revolt.
  • International sovereignty via cryptography: Traditional states defend sovereignty with armies; a network state defends itself with encryption. Srinivasan argues that strong cryptography (and decentralization) makes the network state’s critical functions unassailable by outside powers. For example, if the community’s assets are in Bitcoin, no invading force can seize those without the keys. If communications are encrypted, no one can spy on or censor the community’s coordination. Thus, crypto acts as a “shield” for a stateless state. He calls this “international sovereignty via cryptography”, highlighting that encryption can do what armies do: protect autonomy.
  • Digital diplomatic recognition: Srinivasan imagines that network states might recognize each other and allow easy movement of people/assets between them via interoperable blockchain systems. For instance, if you leave one network state, you take your digital property and reputation on-chain to another – akin to how passports and treaties allow moving between countries, but in this case done trustlessly via blockchain. Public blockchains in this scenario serve as a kind of neutral ground or international law – he writes, “chains manage cooperation and constraint: public blockchains are the equivalent of international law”. And the concept of “Pax Bitcoinica” (a bit tongue-in-cheek) suggests that Bitcoin or a similar global crypto becomes a neutral reserve asset that prevents any one network from dominating, ensuring mutual peace (similar to how “Pax Americana” was underpinned by U.S. gold/dollar at one time, here a decentralized currency underpins a peaceful order).

All these differences can be summed up in a phrase Srinivasan uses: “The network is the nation, the network is the territory, the network is the state.” A network state’s people are literally a social network. Its land is wherever that network operates (including virtual land in VR or metaverse spaces in the future). And its government is the network’s code and community itself making rules (the network-as-Leviathan). He calls the Network “the Leviathan” to complete the God-State-Network arc: now the network provides security and order (through encryption and consensus) the way God or the State used to.

Srinivasan addresses the question of maps: “What does a network state look like on a map?” Since it’s not contiguous, it would appear as many pinpricks – an archipelago of enclaves connected by dotted lines (as that earlier illustration in Chapter 1 showed). Physically scattered, but digitally a dense cluster (imagine a graph of social network connections – members mostly connected to each other, forming a subnetwork within the global social graph). He points out advantages: digital states are higher-dimensional – not limited to one place, they can plug into each other (perhaps one person can belong to two, or two network states can share a virtual capital), they can scale faster (software scales quicker than bureaucracy), and creating “new land” is easy (spin up a new server, or crowdfund a new house) unlike Earth’s finite land. Also, much of a network state is invisible to outsiders – you can’t point to it on a globe easily; it exists in pockets and in the cloud, which might give it resilience. He contrasts deterministic physical division (nation-states partition space) with “probabilistic digital division of people into subnetworks” – essentially people self-sorting into online communities of choice. This line captures the fundamental paradigm shift: instead of geography dividing land, we have internet dividing people by affinity.

Finally, Srinivasan reiterates the path to get there (essentially revisiting the Quickstart but with refined terms). He explicitly describes founding a network state as akin to founding a billion-dollar startup (a unicorn) – you don’t declare one on day 1; you start with a project and build toward it. He includes a book excerpt summarizing three developmental phases (which mirror the earlier seven steps in condensed form):

  • Network Union: an entirely digital community (like Step 1 and 2 earlier) that organizes collective action online. The focus is building coordination capacity – members act together for common causes (this “organizational muscle” is stressed as key).
  • Network Archipelago: that network union starts acquiring physical properties and linking them (Step 3-5 earlier). Physical interaction (in-person meetups, living together) is crucial to build trust, just as Step 3 emphasized. At this stage, it’s partially a digital community and partially a set of real communities – a proto-state that still lacks legal status but has tangible presence.
  • Network State: the network archipelago achieves diplomatic recognition from at least one existing state (Step 7). This formal recognition and sovereignty is crucial to being a true state (it allows self-governance without interference). After that, it can expand recognition and power gradually.

He also notes a network state can expand in multiple ways beyond just population or land – it can grow demographically (more citizens), geographically (more nodes), digitally (more online influence/services), economically (higher GDP), ideologically (broaden its appeal or deepen its convictions), and technologically (improve its tech infrastructure). This is almost like metrics a network state founder would track, analogous to a startup’s user growth, feature growth, etc. It shows the multifaceted nature of building a society.

With Chapter 5, Srinivasan effectively completes the loop: he started with a bold claim that you can start a new country in the cloud, justified it with historical and moral reasoning, analyzed the current breakdown of the old order, and now has spelled out the blueprint and theory for the new order. The major recurring themes come together here – decentralization vs centralization, technology vs politics, moral purpose, and startup-style growth. By juxtaposing nation-state and network state assumptions, he highlights the innovation: network states treat geography as secondary, treat citizens as customers/volunteers, use technology as the backbone of governance, and achieve legitimacy through proof-of-concept (traction) rather than historical lineage.

One of the key proposals implicitly in this chapter is that network states could eventually form a “Network State System” analogous to today’s nation-state system. Once one network state is recognized, many could follow, and they would develop their own norms and alliances (potentially even a Network States’ UN of sorts). This is the “recentralized center” idea framed as an actual geopolitical reality: a multitude of new micro-nations (but globally distributed ones) cooperating via blockchain and mutual recognition. Srinivasan hints that once the first domino falls (the first credible network state), the model could rapidly replicate – much like how once Bitcoin proved a concept, thousands of cryptocurrencies emerged.

Throughout Chapter 5, illustrative examples and references back up his points: for instance, he references how Estonia and Singapore “fused with the network” (e-governance) as positive examples, or El Salvador’s Bitcoin law as a state integrating with a network. He cites how early Israel (pre-1948 diaspora) was essentially a God+network combination, and once the state formed, it became God+network+state – implying that network states might follow a similar trajectory from diaspora to recognized homeland, minus the divinity aspect. He even analogizes VR as future “land” – a network state could one day have its capital city entirely in virtual reality, which, while speculative, shows the degree of breaking from physical constraints he envisions.

By the end of the book, the reader is left with a comprehensive vision: The Network State is a proposal to rethink nation-building for the 21st century using the tools of the internet, blockchain, and startup methodology. Srinivasan’s chapters interlock like pieces of an argument:

  • Chapter 1 gave the elevator pitch and plan: you can start a country like a startup.
  • Chapter 2 gave the moral and historical justification: current states are morally failing and tech allows new social experiments; we need a moral mission (One Commandment) to rally people.
  • Chapter 3 provided a diagnosis of the present: power is shifting to networks (media networks, party networks, crypto networks) and the world is unstable, opening space for alternatives.
  • Chapter 4 offered future possibilities: things could get very bad (civil war, digital totalitarianism) if we don’t create a new “center,” and network states can be that peaceful middle path by innovating better governance.
  • Chapter 5 delivered the structural blueprint and contrast: it spelled out how exactly a network state differs from a nation-state and how we could transition from one model to the other step by step.

Recurring Themes and Interconnections

Several recurring themes weave throughout the chapters, creating a coherent narrative:

  • Decentralization vs. Centralization: From historical cycles (the Frontier Thesis and “Future is Our Past” in Chapter 2, which argued technology drove centralization then will drive decentralization again) to the description of the internet’s effect in Chapter 4 (increasing variance and breaking centralized institutions), Srinivasan returns to the idea that power is decentralizing in our time. However, he doesn’t advocate chaos; instead, he foresees a recentralization around new units (network states). The balance of decentralization and order is key: e.g., Chapter 2’s conclusion that technological truth (decentralized data) must be balanced with social narrative (central authority), or Chapter 4’s call for a “recentralized center” after fragmentation. This theme underscores why network states are proposed: they leverage decentralized tech (blockchains, internet communities) but package them into cohesive new societies – a synthesis of decentralized innovation with centralized purpose.
  • Technology as a Determinant of Sovereignty: Srinivasan constantly highlights how technology (especially cryptography and the internet) shifts the dynamics of power. In Chapter 2, encryption and blockchain were shown as new guarantors of truth and property, eroding the state’s information monopoly. In Chapter 3, the very contenders for power included a technology network (Bitcoin) alongside nation-states. By Chapter 5, cryptography is explicitly the means by which network states achieve “international sovereignty” and defense. The throughline is that code is replacing violence as the final backstop of power in many domains. This is why Srinivasan believes a small online community can eventually challenge nation-states: because technology gives individuals and networks leverage that only armies and bureaucracies used to have. Illustrative examples: Musk using data logs to disprove a media story (tech truth trumping narrative), or Bitcoin surviving nation-state bans due to its decentralized design.
  • Moral Purpose and “One Commandment”: A strong moral imperative appears in each chapter. Chapter 1 touched on it by saying network states aim to “build the best type of society possible”. Chapter 2 delved deeply into moral failures of states and the need for a moral North Star for new communities (One Commandment). In Chapter 3, even the factions are driven by quasi-moral visions (woke justice, nationalist harmony, libertarian self-sovereignty). By Chapter 5, when listing network state components, “a moral innovation” is first among reasons for the network to exist. This underscores Srinivasan’s belief that successful societies aren’t built on tech alone; they need a shared belief that binds people. Recurring examples like the Keto Kosher or Cancel-Proof societies in Chapter 2 resurface in Chapter 5’s notion that people join for values, not just money. The interconnection is clear: the cause identified in Chapter 2 becomes the selling point of the startup society in Chapter 1 and the core of its identity in Chapter 5.
  • Exit vs. Voice: Srinivasan frequently alludes to the idea that “exit” (leaving a system to create a new one) is increasingly viable, whereas “voice” (trying to change the system from within) is often futile. The entire book is predicated on exiting the nation-state system to build anew. For example, Chapter 3’s scenario of U.S. polarization implies that instead of fighting a civil war (voice through conflict), one could exit and form a community elsewhere (physically or online). Chapter 4’s intermediate coalition is essentially an exit from both superpowers’ visions. And Chapter 5 provides the mechanism of exit: multiple citizenships, voluntary migration, etc., making exit easier than before. A recurring illustrative reference is to the Sovereign Individual thesis (decentralizing tech empowers individuals to escape state control) which he explicitly cites in Chapter 2. Another is the mention that Bitcoin provides an “exit” for wealth (Pax Bitcoinica – people can store value outside any state’s reach). All these underscore the theme that competition between governments (via citizen exit) leads to better governance, which is a core rationale for network states.
  • Startup Mentality in Governance: Srinivasan consistently uses entrepreneurship metaphors. Chapter 1 explicitly frames a network state as a startup society and likens founding one to founding a company. Chapter 2 compares political and tech revolutionaries, suggesting “startup founders and political activists aren’t so different”. In Chapter 4, he lists innovation and building as the answer to political problems (“How do you get them together? By innovating: build something better.”). And Chapter 5 outright says “founding a network state is like founding a unicorn”. This theme of applying Silicon Valley principles to nation-building (move fast, iterate, focus on growth metrics, product-market fit for governance) connects the practical how-to with the ideological why. Even the way the book itself is structured – identify a problem (market need), propose a solution (product), analyze competition (US, China, etc.), and then detail the solution’s features – mirrors a startup pitch deck. Srinivasan’s background as a tech entrepreneur seeps into every argument, implying that governance should be subject to entrepreneurship and competition just like industries have been.
  • Interplay of Narrative and Reality: He repeatedly shows that controlling the narrative (belief) and controlling the physical reality (force/tech) are two sides of the coin. Chapter 2’s Political Determinism vs Technological Determinism discussion and the need for a synthesis is one example. Chapter 3’s description of NYT vs CCP vs BTC is essentially narrative power vs physical power vs algorithmic power, each checking the other. By Chapter 5, the idea that network states need both a “sense of national consciousness” (narrative identity) and an “integrated cryptocurrency” (material-economic tool) shows he knows a successful new state requires winning hearts and minds (and wallets). The recurring example of the New York Times as “moral network” vs Tesla logs or blockchain as truth is used to illustrate that dynamic in concrete terms. Srinivasan essentially argues throughout that networks can provide an alternative narrative (e.g. new ideologies, online cultures) and alternative reality (via technology platforms and virtual worlds), allowing them to become full-fledged societies.

In conclusion, The Network State is both a diagnosis and a manifesto. Srinivasan interlinks history, technology, and politics to argue that the nation-state as we know it has reached an inflection point. Each chapter builds on the last: from establishing the concept and quick plan, to justifying it with historical trajectory and moral necessity, to analyzing the current breakdown of the old order, to envisioning future outcomes, and finally to presenting the network state as a concrete blueprint for a new order. The book’s major arguments – that cloud communities can evolve into countries, that technology (blockchain & internet) enables this, and that a moral mission is essential – are reinforced with frameworks like the seven steps, the tripolar world, Leviathans, and the nation vs network state comparison. Its key proposals include pursuing “cloud first, land last” nation-building, creating new jurisdictions focused on specific values (One Commandment societies), and using tools like on-chain census and crypto economies to establish credibility. The illustrative examples – from historical (religious diasporas, American frontier, Soviet collapse) to contemporary (Bitcoin, Estonia e-residency, CityDAO, cancel culture, COVID lockdowns) – serve to ground these ideas in reality and show parallels to the network state concept.

Whether or not one agrees that network states will succeed, Srinivasan’s book provides a comprehensive framework for reimagining sovereignty in the digital age. It challenges the reader to envision a world map not of colored blocs, but of overlaying digital communities – a “social network of nations” built from the internet up. The chapters, taken together, argue that this is not utopian but a logical next step in political evolution, driven by the same forces that created prior shifts (technology, migration, and the eternal human quest for meaning and improvement). In a time of global uncertainty, The Network State offers an audacious roadmap for founding the polities of the future, one online community at a time.

Sources:

  • Srinivasan, Balaji S. The Network State: How To Start a New Country. 1729.com/thenetworkstate (online edition) .
  • Aure’s Notes – Summary of The Network State (extensive chapter-by-chapter synopsis with quotes).
  • Bookey App – The Network State Summary (chapter summaries focusing on key concepts).
  • Frawley, Andrew. “Balaji’s Network State: Reviewing Its Goodness and Feasibility.” Medium, 2022 (critical discussion of the network state framework).
  • Tim Ferriss Show #606 – Interview with Balaji Srinivasan (2022) (mentions the book is available free online and discusses core ideas).
  • Mirror.xyz – “Why CityDAO might Become the First Network City” (2022) (applies Srinivasan’s 7-step framework to a real project).
  • New Atlantis – “Virtual Reality Reboots History” (2023) (contextualizes Srinivasan’s ideas in broader debates on liberalism and technology).

A16Z’s Crypto 2025 Outlook: Twelve Ideas That Might Reshape the Next Internet

· 8 min read

Every year, a16z publishes sweeping predictions on the technologies that will define our future. This time, their crypto team has painted a vivid picture of a 2025 where blockchains, AI, and advanced governance experiments collide.

I’ve summarized and commented on their key insights below, focusing on what I see as the big levers for change — and possible stumbling blocks. If you’re a tech builder, investor, or simply curious about the next wave of the internet, this piece is for you.

1. AI Meets Crypto Wallets

Key Insight: AI models are moving from “NPCs” in the background to “main characters,” acting independently in online (and potentially physical) economies. That means they’ll need crypto wallets of their own.

  • What It Means: Instead of an AI just spitting out answers, it might hold, spend, or invest digital assets — transacting on behalf of its human owner or purely on its own.
  • Potential Payoff: Higher-efficiency “agentic AIs” could help businesses with supply chain coordination, data management, or automated trading.
  • Watch Out For: How do we ensure an AI is truly autonomous, not just secretly manipulated by humans? Trusted execution environments (TEEs) can provide technical guarantees, but establishing trust in a “robot with a wallet” won’t happen overnight.

2. Rise of the DAC (Decentralized Autonomous Chatbot)

Key Insight: A chatbot running autonomously in a TEE can manage its own keys, post content on social media, gather followers, and even generate revenue — all without direct human control.

  • What It Means: Think of an AI influencer that can’t be silenced by any one person because it literally controls itself.
  • Potential Payoff: A glimpse of a world where content creators aren’t individuals but self-governing algorithms with million-dollar (or billion-dollar) valuations.
  • Watch Out For: If an AI breaks laws, who’s liable? Regulatory guardrails will be tricky when the “entity” is a set of code housed on distributed servers.

3. Proof of Personhood Becomes Essential

Key Insight: With AI lowering the cost of generating hyper-realistic fakes, we need better ways to verify that we’re interacting with real humans online. Enter privacy-preserving unique IDs.

  • What It Means: Every user might eventually have a certified “human stamp” — hopefully without sacrificing personal data.
  • Potential Payoff: This could drastically reduce spam, scams, and bot armies. It also lays the groundwork for more trustworthy social networks and community platforms.
  • Watch Out For: Adoption is the main barrier. Even the best proof-of-personhood solutions need broad acceptance before malicious actors outpace them.

4. From Prediction Markets to Broader Information Aggregation

Key Insight: 2024’s election-driven prediction markets grabbed headlines, but a16z sees a bigger trend: using blockchain to design new ways of revealing and aggregating truths — be it in governance, finance, or community decisions.

  • What It Means: Distributed incentive mechanisms can reward people for honest input or data. We might see specialized “truth markets” for everything from local sensor networks to global supply chains.
  • Potential Payoff: A more transparent, less gameable data layer for society.
  • Watch Out For: Sufficient liquidity and user participation remain challenging. For niche questions, “prediction pools” can be too small to yield meaningful signals.

5. Stablecoins Go Enterprise

Key Insight: Stablecoins are already the cheapest way to move digital dollars, but large companies haven’t embraced them — yet.

  • What It Means: SMBs and high-transaction merchants might wake up to the idea that they can save hefty credit-card fees by adopting stablecoins. Enterprises that process billions in annual revenue could do the same, potentially adding 2% to their bottom lines.
  • Potential Payoff: Faster, cheaper global payments, plus a new wave of stablecoin-based financial products.
  • Watch Out For: Companies will need new ways to manage fraud protection, identity verification, and refunds — previously handled by credit-card providers.

6. Government Bonds on the Blockchain

Key Insight: Governments exploring on-chain bonds could create interest-bearing digital assets that function without the privacy issues of a central bank digital currency.

  • What It Means: On-chain bonds could serve as high-quality collateral in DeFi, letting sovereign debt seamlessly integrate with decentralized lending protocols.
  • Potential Payoff: Greater transparency, potentially lower issuance costs, and a more democratized bond market.
  • Watch Out For: Skeptical regulators and potential inertia in big institutions. Legacy clearing systems won’t disappear easily.

Key Insight: Wyoming introduced a new category called the “decentralized unincorporated nonprofit association” (DUNA), meant to give DAOs legal standing in the U.S.

  • What It Means: DAOs can now hold property, sign contracts, and limit the liability of token holders. This opens the door for more mainstream usage and real commercial activity.
  • Potential Payoff: If other states follow Wyoming’s lead (as they did with LLCs), DAOs will become normal business entities.
  • Watch Out For: Public perception is still fuzzy on what DAOs do. They’ll need a track record of successful projects that translate to real-world benefits.

8. Liquid Democracy in the Physical World

Key Insight: Blockchain-based governance experiments might extend from online DAO communities to local-level elections. Voters could delegate their votes or vote directly — “liquid democracy.”

  • What It Means: More flexible representation. You can choose to vote on specific issues or hand that responsibility to someone you trust.
  • Potential Payoff: Potentially more engaged citizens and dynamic policymaking.
  • Watch Out For: Security concerns, technical literacy, and general skepticism around mixing blockchain with official elections.

9. Building on Existing Infrastructure (Instead of Reinventing It)

Key Insight: Startups often spend time reinventing base-layer technology (consensus protocols, programming languages) rather than focusing on product-market fit. In 2025, they’ll pick off-the-shelf components more often.

  • What It Means: Faster speed to market, more reliable systems, and greater composability.
  • Potential Payoff: Less time wasted building a new blockchain from scratch; more time spent on the user problem you’re solving.
  • Watch Out For: It’s tempting to over-specialize for performance gains. But specialized languages or consensus layers can create higher overhead for developers.

10. User Experience First, Infrastructure Second

Key Insight: Crypto needs to “hide the wires.” We don’t make consumers learn SMTP to send email — so why force them to learn “EIPs” or “rollups”?

  • What It Means: Product teams will choose the technical underpinnings that serve a great user experience, not vice versa.
  • Potential Payoff: A big leap in user onboarding, reducing friction and jargon.
  • Watch Out For: “Build it and they will come” only works if you truly nail the experience. Marketing lingo about “easy crypto UX” means nothing if people are still forced to wrangle private keys or memorize arcane acronyms.

11. Crypto’s Own App Stores Emerge

Key Insight: From Worldcoin’s World App marketplace to Solana’s dApp Store, crypto-friendly platforms provide distribution and discovery free from Apple or Google’s gatekeeping.

  • What It Means: If you’re building a decentralized application, you can reach users without fear of sudden deplatforming.
  • Potential Payoff: Tens (or hundreds) of thousands of new users discovering your dApp in days, instead of being lost in the sea of centralized app stores.
  • Watch Out For: These stores need enough user base and momentum to compete with Apple and Google. That’s a big hurdle. Hardware tie-ins (like specialized crypto phones) might help.

12. Tokenizing ‘Unconventional’ Assets

Key Insight: As blockchain infrastructure matures and fees drop, tokenizing everything from biometric data to real-world curiosities becomes more feasible.

  • What It Means: A “long tail” of unique assets can be fractionalized and traded globally. People could even monetize personal data in a controlled, consent-based way.
  • Potential Payoff: Massive new markets for otherwise “locked up” assets, plus interesting new data pools for AI to consume.
  • Watch Out For: Privacy pitfalls and ethical landmines. Just because you can tokenize something doesn’t mean you should.

A16Z’s 2025 outlook shows a crypto sector that’s reaching for broader adoption, more responsible governance, and deeper integration with AI. Where previous cycles dwelled on speculation or hype, this vision revolves around utility: stablecoins saving merchants 2% on every latte, AI chatbots operating their own businesses, local governments experimenting with liquid democracy.

Yet execution risk looms. Regulators worldwide remain skittish, and user experience is still too messy for the mainstream. 2025 might be the year that crypto and AI finally “grow up,” or it might be a halfway step — it all depends on whether teams can ship real products people love, not just protocols for the cognoscenti.