Read, Write, Own

Introduction

  • Traditional computer: the hardware controls the software
  • Blockchains: the software is in charge

Part I: The history of the internet

Ch. 1: Why networks matter

  • Ask: who controls a given network?
    • Money is only one of many such networks
  • The digital-physical is interconnected and entwinedcategories
    • Most automation happens indirectly
      • What counts cannot be counted + Equivalence + Ecosystem
  • Network effects means compounding
    • More people, more value
      • Because of more division of labor.develop
  • Network effects take small advantages and snowball them into avalanches
    • Win where you can first

Ch. 2: Protocol networks

  • The physical-network-application layers
  • We use proprietary clients
    • We don’t really own anything at this point
  • DNS
    • $10/year (ICANN)develop
      • Users own and control their names
        • I.e., hardware-independent
          • And user optionality keeps corporates in check
        • Again, ask - who owns them?
          • This will become more prevalent question, not just within financial-investment industry
  • In corporate networks users can only quit (which isn’t really the same as exit)
  • When you own something, you have an incentive to invest in it
    • You should own digitally (digital-physical demarcation is arbitrary after all) and there should be property rights equivalent in the realm of digital
      • Own and help own
        • Why newsletter is having a renaissance (e.g., Substack)
      • E.g., Obsidian
    • Everyone benefits in a protocol network
      • Externality means limited incentives and talent pool
      • Ownership > Speculation
  • To be universal, protocols must be unopinionated
    • There is no universal (jurisdictional) law
  • To be truly open means no intermediary

Ch. 3: Corporate networks

  • Skeuomorphic = More of the same
    • Native = Novelty
  • ’Come for the tool, stay for the network’ tactic
    • YouTube’s video embedding
    • Instagram’s free photo-filtering tool
      • Tools get better, but the value of the network increases much more rapidly at a compounding rate.
  • Corporate networks can play different games from protocol networks because they have way more source of funding
    • The latter users don’t really have incentives giving away the tools because they don’t really own the network
      • Compare with blockchain networksdevelop
  • Complements
    • The parings reinforce the value of the parts (e.g., YouTube and MrBeast), but they are the greatest of frenemies
      • Microsoft’s complement-crushing strategy
  • Platforms eventually cannibalize their complements
    • It’s systemic
  • Bigger networks have less to gain and more to lose by interoperating
    • The attract-extract cycle
      • I.e., cooperation early and competition later
  • Corporate networks drastically lowered the barrier to entry for people to reach audience
  • There is always the possibility that protocol networks could get subsumed by corporate networks

Part II: How tokens are used to construct network + technical-economic details

Ch. 4: Blockchains

  • Inside-out tech vs Outside-in tech
    • A lower bar for the latter means the insiders will take them less seriously
      • Barriers to entry doesn’t correlate to its importance
    • Native thinking > Skeuomorphic thinking
      • Preconceived notions hold innovation captive
  • Businesspeople vote with money while engineers vote with time
    • Curiosity beats for-profit
    • Hobbies are what the smartest people do without stupid financial incentives
      • Smartest people’s hobbies = Everyone else’s day job in 10 years
  • Blockchains are a new kind of computer
    • Blockchains are a software abstraction on top of physical devices
      • The meaning of the word “computer” shifts:
        • People > Machines (hardware) > Machines (hardware) + Abstraction (software)
          • Computer != Hardware
            • Relate to Mind != Computerdevelop
          • What matters is what it does and not what it’s made of
  • Crypto-history depends on cryptography and game-theory
  • Blockchains != Databases
    • Blockchains = Full-fledged computers
  • Dixon thinks proof-of-stake will power the most popular blockchains.develop
  • Blockchains take the code seriously
    • E.g., BTC will never be more than 21,000,000 bitcoins
      • I.e., if you own 1BTC that amounts to 0.00000476% holdings
    • Corporate doesn’t have any incentive to honor them

Ch. 5: Tokens

  • ”Technologies that change society are technologies that change interactions between people”
    • E.g., money and computer networks
  • Tokens = encapsulate complicated code into an uncomplicated wrapper
    • Anything represented in the code can be bought, sold, used, stored, embedded, transferred, or whatever else
      • Website encapsulated information
      • Post encapsulated publishing
      • Tokens encapsulate ownership
        • What’s next?
  • User ownership in corporate networks is an illusion
    • E.g., digital goods in Fortnite and League of Legends
      • I.e., goods are borrowed and users are renters
  • Money controlled by software and not by banks
    • Stablecoins reinforced rather than challenges the supremacy of the USD
  • NFTs act as a digital twin of the physical object, breaking down the barrier between the on- and offline worldscategories
    • NFTs can also act as identifiers
  • Wallets & Blockchains = Web browsers & Web
    • Wallets and browsers are interfaces for users
      • ”Treasuries” = greater scale wallets (e.g., for DAOs)
  • Users become owners with tokens
    • User-creator distinction is arbitrary after allcategories
      • No ownership means you can’t wear clothes you want, you can’t resell or reinvest in your house or car, and you have to change your name wherever you go
        • Homeowners invest more than renters
          • Airbnb exist because homeowners can do whatever they want
        • Ownership means you don’t have to ask for permission
          • The digital should see more ownership as it is in the physical
  • Network effects + Feedback loops + Composability = Exponential growth
  • A more interesting startup (i.e., disruptive) idea makes phones less valuable
    • Apple is far less likely to pursue this route
      • Invert
  • AI and VR/AR are sustaining technologies
    • Disruptive tech are harder to spot than sustaining ones
      • iPhone was not sustaining tech because it disrupted the market for computers not just for phones
        • What counts cannot be counted
        • Surprise is power
  • Diem, Libra, Novidevelop
  • Ask: does this beget network effect?
    • Do not misunderstand the extraordinary forces that network effects unleash
      • Remember: compounding feels flat in the beginning.

Ch. 6: Blockchain networks

  • When software is in charge, designers can take full advantage of the expressivity of software
    • Blockchain architecture itself is a software that did away with the hardwaredevelop
      • Substrate-independent
    • Designers don’t need to worry about nodes turning evil
      • They can focus more on the designing per se
        • The job of the founding team is to design the core software for the network and an incentive system that encourages growth
  • General-purpose infrastructure networks: Ethereum, Solana, Optimism, Polygondevelop
  • DeFi application blockchain networks: Aave, Compound, Uniswapdevelop
  • Blockchains throughput = LLMs context window
    • Key moment is when devs don’t have to worry about the infrastructure

Part III: Why blockchains?

Ch. 7: Community-created softwarecomposability

  • SaaS > Software > Hardware
  • The power of composability:
    • Saves keystrokes
      • Composability is software’s version of compounding interest
  • The guiding philosophy of Linux:
    • “Release early and often, delegate everything you can, be open to the point of promiscuity.”
      • Promiscuous = indiscriminate, casual, unselective
        • We should use web2 UX/UIs because mega corporations such as Google, YouTube, Twitter, Facebook, Instagram spent millions and billions to meet the demands of people.

Ch. 8: Take rates

  • Internet startups undercut the high prices of traditional businesses
  • Blockchain networks expose the high take rates of corporate networks

Network Effects Drive Take Rates

  • More control over network = More control over price
  • Where bean counters see fat margins, entrepreneurs should see blood. Your take rate is my opportunity, as Bezos might say.
    • Successful founders see different problems

Your Take Rate Is My Opportunity

  • You can invest in and grow your businesses without the risk that the DeFi networks will change the rules, undermine them, and extract your profits later
    • In a sense, ‘key moment’ is already here

Squeezing the Balloon

  • Mega corps contribute to open-source projects out of self-interest, not out of charity
    • ”Commoditize your complement” - A classic tech strategy
      • For Google, the fight for operating systems spills over to the fight for search profits
      • Intel supports Linux to commoditize operating systems
  • From thick networks to thin networks
  • Take rates + Token incentives = Economic equation for blockchain networks

Ch. 9: Building networks with token incentives

Incentivizing Software Development

  • Ether is the native token of the Ethereum blockchain
  • Blockchain networks externalize tasks
    • Tasks held captive proprietary in corporate networks go become market-based
      • Paradoxically, externalized incentives (negative externalities) go away when everything is externalizeddevelop
        • Similar to how [The most efficient business is one with trust, and one completely without]
    • Wider talent funnel and the base of network stakeholders
  • Permissionless means it privileges no app developers
    • [Inventor = Learner]
      • What matters is creativity per se
  • Not differentiating developers from users mean what attracts the former also attracts the latter, and vice versa.

Overcoming the Bootstrap Problem

  • As the network grows, token rewards should taper off ([Good supply-demand designs are necessary])
    • More participants make a network more useful; once enough people are participating and network effects kick in, the need to offer incentives decreases.
      • People who take a risk by contributing early, when a network’s success isn’t assured, gain the most.
        • This isn’t good just for users and contributors. It’s also good for the networks.
  • A key challenge when building networks is overcoming the “bootstrap” or “cold start” problem: attracting users and contributors before enough of them are participating to make the network intrinsically useful.
    • Network effects cut both ways: they can accelerate growth, but they can also handicap it. Scaled networks attract new users without much effort. Conversely, subscale networks struggle just to survive.
      • Corporate networks used subsidies, but subsidies go only so far.
  • Helium for a grassroots telecom service
  • They can also help break the rich-get-richer tendency in corporate networks, where only the employees and investors, not the users, see upside when a network succeeds.
    • Especially so when the company is not listed.

Tokens Are Self-Marketing

  • To get noticed and stay relevant, many startups need to pay for promotion.
    • Ads are necessary evils, as it were.
  • Tokens empower individuals to become stakeholders in networks, not just participants. When users feel a sense of ownership, they are motivated to contribute even more and spread the word. [Users become marketers with tokens] These user-evangelists are more authentic and effective than corporate marketing programs run by hired teams. ([Incentives]) They win hearts and minds through blog posts, tweets, and code. ([Writing is fighting]) They participate in forums. They sing praises and shout from the desktops. Thanks to their economic and other benefits, tokens don’t need marketing, per se; tokens are self-marketing.
    • Again, the city analogy is useful. Homeowners are incentivized to build and promote their cities. They develop real estate and start businesses, support local schools and sports teams, get involved in organizations and civic causes. They are true community members with financial upside and a say in governance.
      • This crumbled when real estates started to assume the role of money-substitutes.develop
  • Building true communities is the best way to go viral.

Making Users Owners

  • User-owner dichotomy is arbitrary
    • 梵我一如
  • Dogecoin is a silly network but it’s owned by the users
    • It’s a part of their identity stack
      • Dogecoin demonstrates the power of tokens absent confounding factors
  • Blockchains allow users, and not just shareholders, participate in their financial success (e.g., Uniswap)
    • Peer-to-peer (i.e., no differentiation among network participants) means no ‘second-class citizens’ to be served up to ‘real customers’
      • So much for wanting to become YouTuber or TikToker
  • Tokens restore the vision of the internet as a decentralized network owned and controlled by its participants

Ch. 10: Tokenomics

  • Thomas Sowell: “Prices are important not because money is considered paramount but because prices are a fast and effective conveyor of information through a vast society in which fragmented knowledge must be coordinated.”
  • CCP Games publishes a monthly economic report about conditions within the gamedevelop
  • A blockchain economy must balance the supply (“faucets”) and demand (“sinks”) of native tokens to fuel sustainable growth
    • Relate to [Spitznagel’s view on monetary policy]
  • Aave, Compound, Curvedevelop
  • Poor faucets-sinks design can lead to the problem of “only the rich can deploy”develop
  • Software is a highly plastic flexible medium and almost any economic model that can be dreamed up can be implemented in software
  • You can value tokens using traditional financial metrics (e.g., P/E ratio) by studying the cash flows and burn rates of blockchain networks
  • Ben Graham: “Markets are a voting machine in the short term and a weighing machine in the long term”
    • Assets with actual substance or weight have the best prospects over the long term
      • Remember Ray Dalio’s principle: Prioritize increasing your productivity over micromanaging your income and financing
        • Just because something wins a popularity contest today doesn’t mean it will age well

Ch. 11: Network governance

  • Wikipedia succeeded because it doesn’t require that much investment for its maintainance
  • Federated networks have a tendency, a fundamental by-product of their architecture, to evolve into corporate networks
    • Because network effects ensure that small advantages compound to create big winners
      • It’s systemic
  • Gmail’s approach to spam filtering doesn’t favor personal or small-business-owned servers
  • Rules and leaders emerge from informal governance but they are a product of inscrutable social dynamics rather than thoughtful design
    • Purpose beats profit
    • One-of over one-off
  • Any system that can be written down can be realized
  • A broad distribution of tokens can mitigate the risk of plutocracy
  • Constitution formalized the shift of national governance from individual rulers to written law
  • A blockchain constitution means immutable topic to be discussed

Part IV: Policy and regulatory topics

Ch. 12: The computer versus the casino

  • Andy Grove: “Technology happens. It’s not good, it’s not bad. Is steel good or bad?”
  • Media grab what’s easier to grab (short-term over long-term development)
    • App idea here
  • Proper incentives usually lead to proper results
    • Long-term restriction
  • The most efficient business is one with trust, or the one completely without
    • Similar to how [Key moment is when you don’t have to worry about infrastructure]
  • If you remove the ability to buy or sell something, you remove ownership
    • No trading means no ownership; you can’t have one without the other
  • Permissionless blockchains without tokens and token trading are impossible
  • No LLCs meant close-knit partnerships with trust
    • I.e., family members and close friends
      • Technology (law) shapes culture
        • [Symbiotic]
    • Railroads and other heavy industries required significant up-front capital
      • Tech innovation drove pragmatic changes to regulation
        • Tech (railway) changed tech (law)
          • [Symbiotic]
    • Network-era businesses today need new organizational needs
  • Airdrops + grants + contributor rewards = Future networks could have billions of owners
    • A sphere of ownership expands (implication for egalitarianism - maybe ownership per se matters more than how much of a thing you have)
      • 梵我一如
  • Blockchains provide a sensible organizational structure for networks
    • Tokens are the natural asset class

Part V: Applications

Ch. 13: The iPhone moment - from incubation to growth

  • Camera > Instagram and TikTok
  • GPS > Uber and DoorDash
  • Mobile > WhatsApp and Snapchat
  • Blockchains > ???
    • What kinds of blockchain networks will matter?

Ch. 14: Some promising applications (S - Dixon, RWO Ch. 14)

  1. Social Networks
    • Low take rates have a multiplier effect
    • New media, New players
    • Similar to Lanier’s argument for data dignity
  2. Games and the Metaverse
    • Digital world ⇒ The physical world
    • Tim Sweeney
    • I think the same logic for AI development applies on the blockchains in general, that is, the cost of development decreases over time
  3. NFTs
    • The lessons video game studios have learned to solve the attention-monetization dilemma (↔ Music industry)
      • Make all their money charging for virtual goods
        • The goods are cosmetic
          • Viz., the game is commoditized
      • Streaming = Sports spectating + Talk radio
        • Attention gained >> Monetization lost
      • ”People love video games, but people also love music, books, films, podcasts, and digital art. These other creative industries have simply experimented with fewer new business models. People make and listen to music as much as ever. The problem isn’t supply and demand; it’s the broken business models in between.”
    • What virtual goods did for video games, NFTs can do for other forms of internet media
      • NFTs create a new layer of value—Digital ownership
      • NFTs can include code
        • NFTs can create digital native copyright variations
    • The corporate network approach = Command and control from beginning to end
      • It’s totalitarian embedded in free market network
        • NFTs allow free market network all the way down
    • Value shifts to adjacent layers
      • Social networks ⇒ Democratized content distribution
      • Generative AI ⇒ Democratize content creation
        • People won’t pay much for media
      • Similar discussion in Ch. 8 — “Take Rates”
    • People crave human interaction despite the rise of machine intelligence
      • Post-AI artistic expression will focus less on the media itself and more on the curation, community, and culture around it
        • Culture
          • Because we create culture?
  4. Collaborative Storytelling
    • Most fans are passive observers with no financial stake
    • The media world doesn’t risk marketing new intellectual property
      • Safer to recycle proven material — sequels and reboots
    • Wikipedia, Quora, Stack Overflow
    • “Forking” characters and narrative paths
    • Multiple benefits:
      1. Widening the talent funnel
        • The bazaar >> The cathedrals
      2. Viral marketing of new IP
        • Meaningful narratives instead of meaningless speculation (Dogecoin)
          • From passive consumers to active evangelists
      3. Increased creator income
    • “Fantasy Hollywood” >> “Fantasy football”
      • Fans are active participants, actually in the game, not just imagining it
  5. Financial Infrastructure
    • Blockchain networks can make payments a public good
      • Analogous to a public highway system that spurs commerce and development in the physical world
    • Multiple benefits:
      1. International payments
      2. Micropayments
      3. Composability
    • DeFi
  6. AI
    • Google knew its relationship with content providers was symbiotic, so it let enough money flow back to publishers to allow many to subsist
      • Like a serfdom
        • If your worldview is solely neo-Darwinism, you’d be content with this.develop
    • AI could “one-box” the entire internet
      • We’re already seeing many internet services curtail their API access and enter lockdowns in response
      • “Content farms”
    • Creators must be organized and bargain as a group
      • The same reason labor unions bargain collectively
      • Invert: in the case where this fails, what’s the potential end-goal? What should I do?
        • Remember Naspers (news publisher turned to internet investor)
    • If I’m doing something valuable, am I getting paid for it?
  7. Deepfakes
    • “Attestations”
      • The advantages of storing media attestations on blockchains:
        1. Transparent and immutable
        2. Credible neutrality
        3. Composability
          • Third parties could build reputation systems that evaluate the track records of attesters, assigning trust scores
            • Tech is derivative (derivative is tech)
    • One of the lessons from the last era of the internet
      • If a service needs to be built, it will probably get built — if not as a public good, then as a private good
        • But now we have blockchains — we can publicly create a good that’s to be public, while getting compensated as contributors.

  • Low take rates have a multiplier effect
  • New stars rise along with the new platform
    • Apply the One Commandment and scale from there
  • ”Digital” <> “Physical”
    • Both are reality and demarcation is arbitrary
  • Interoperability is a tool for growth in blockchain networks
    • E.g., transferring goods from other games
      • It’ll be like in the IRL (e.g., physical skills, physical connections, physical assets)
        • Digital skills-connections-assets aren’t fully owned by users within corporate networks
  • Cosmetic goods = Identity stack ?
  • Game = Game + Streaming + Virtual goods
    • You get what you measure + What counts cannot be counted
      • How can you apply lessons learned from game industry to other industries (e.g., book, music, podcasts)?
  • What NFTs can do for other forms of internet media = What virtual goods did for video games
  • Network effects (digital) > Supply and demand (physical)
    • “Skeptics sometimes suggest that NFTs will restrict the sharing of media. In fact, NFTs provide an incentive to loosen restrictions. Copying and remixing generally increase the value of NFTs, just as more players in video games increase the value of virtual goods. The same effect happens with physical art too. Both owner and artist can benefit from copying because, as the art is more widely shared, the original copies can grow in value. In the extreme case, a work of art, like the Mona Lisa, can become a widely reproduced cultural icon.”
  • 2020 to early 2023
    • Creators received $9B from NFT salesdevelop
    • YouTuber received $47B
  • Generative AI will democratize content creation
    • People will pay less for media itself and more on the curation, community, and culture around it
  • It’s risky to market new IPs = Sequels & Reboots
  • Meaningful narratives > Meaningless speculation
    • Turning fans into active participants
      • More skin in the game!
  • (? >) People started accepting e-commerce > Shopify
  • Lightningdevelop
  • What would be the WhatsApp & FaceTime equivalent for payment?
    • Imagine what could happen to legacy financial institutions with the advent of micropayment, and remember what happened to legacy telecom companies
  • ”A few savvy ones did see the endgame coming: the South African newspaper publisher Naspers became an internet powerhouse by pivoting its business from news production to internet investing.”
    • What would be the equivalent move today?
  • AI could one-box the entire internet
  • In the long run, we will need an economic covenant between AI systems and content providers. AI will always need new data to stay up to date. The world evolves: tastes change, new genres emerge, things get invented. There will be new subjects to describe and represent. The people who create content that feeds AI systems will need to be compensated.
    • The frontier will be on-chain
  • Power must be organized collectively just like unions bargain collectively
    • We must remember the lesson learned with search in the 1990s
      • Because it can happen again
        • Can we avoid the worst case scenario by using blockchains?
  • Ask: can I get paid for doing this?
    • It’s an important one to ask given our familiarity with corporate networks in which no compensation is the norm
  • One of the lessons from the last era of the internet is that if a service needs to be built, it will probably get built—if not as a public good, then as a private good.

Conclusion

  • Today’s major technology movements involve sustaining technologies that look set to reinforce existing industry structures.
    • AI favors big companies with stockpiles of capital and data.
    • New devices like virtual reality headsets and self-driving cars require multibillion-dollar capital investments.
  • Blockchains are the only credible counterweight to these centralizing forces.
    • 傾く・バロック
  • A world without ownership is a world with less creativity and human flourishing
    • I.e., no skin in the game