Revisiting "Read Write Own": 16 Classic Insights from a16z's Founder
Original Article Title: 16 insights from New York Times bestseller Read Write Own
Original Source: a16z Crypto
Original Translation: Scof, ChainCatchert
This article features some insightful excerpts from the new book "Read Write Own: Blockchain Network Trends and Potential to Unlock the Web3 Paradigm" by Chris Dixon, founder and general partner at a16z Crypto. The content is compiled from relevant a16z tweets. Here is the translation of the original text:
Looking for a deeper understanding of the world of technology, business, and startups? Want to explore the history and future of the internet? Need a concise explanation of cryptocurrency, the blockchain movement, and its significance? We have the answers for you.
Here, we have selected the sharpest excerpts and most provocative points from the bestselling book "Read Write Own" by Chris Dixon, founder and general partner at a16z Crypto. This book is dense with information, delving into the hidden structures that govern how money and power flow on the network. Leveraging his decades of experience investing in startups, author Chris Dixon reveals how the networks that dominate our lives operate and how to restructure these networks to empower internet users as true owners.
The insights presented in "Read Write Own" offer a fresh perspective on business and life—from nurturing innovation, to seizing disruptive opportunities, to boldly betting on non-mainstream directions. Sam Altman, CEO of OpenAI, described this book as a "remarkable vision of the future of the internet and its path to realization." Whether you are passionate about the crypto space, just starting to explore, or simply curious about the turbulence in this field, this book will bring value to you.
Here are some of the most compelling excerpts from the book, each containing valuable insights:
1. The Essence of "Permission"
In business, seeking permission is not as straightforward as asking your parents or teacher for approval, where you can simply receive a "yes" or "no" answer; nor is it as clear-cut as traffic signals dictating the rules of the road. In the business world, permission often becomes a disguised tyranny. Dominant tech companies use the power of "permission" to block competition, disrupt markets, and extract value.
2. Software as Art
Software is extraordinarily expressive, and rather than seeing it as a product of the engineering field, it is better to view it as an art form. The malleability and flexibility of code provide a vast design space, a breadth of possibility closer to creative activities like sculpture or novel writing than to engineering practices like bridge-building. Like other art forms, practitioners in the software field continuously pioneer new genres and movements, fundamentally expanding the boundaries of possibility.
3. Problems Solved by Blockchain
Blockchain can make strong commitments about its future behavior, enabling the creation of entirely new networks. Blockchain networks address many issues present in early network architectures: they can connect people, build social networks while empowering users, rather than letting corporate interests dominate; they can support marketplaces and payment networks, facilitating commercial activities while significantly reducing intermediary costs; they can also foster new forms of monetizable media, interoperability, and immersive digital worlds that reward creators rather than exploit them with AI products...
Asking "What problems does blockchain solve?" is like asking "What problems does steel solve compared to wood?" You can build structures or railways with either wood or steel, but steel allowed us to construct taller buildings, sturdier railways, and grander public works during the early days of the Industrial Revolution. Similarly, through blockchain, we can create fairer, more sustainable, more resilient networks with broader horizons compared to today's network systems.
4. A New Era of the Internet
Our current decisions will determine the future of the internet: who builds, owns, and uses the internet; where innovation will happen; and how everyone's user experience will be. Blockchain and the networks it supports unleash the extraordinary power of software as an art form, with the internet becoming its canvas. This transformative movement has the opportunity to rewrite history, reshape the relationship between humanity and the digital world, redefine possibilities... It is an opportunity to create an ideal internet, rather than passively accepting the inherited internet.
5. The Supremacy of Networks
Network design determines destiny.
A network is an organizational framework that enables billions of people to interact orderly. It determines the world's winners and losers, with its algorithms guiding the flow of capital and attention. The structure of a network not only directs its own development but also determines the concentration of wealth and power. Given the scale of today's internet, even seemingly insignificant software design decisions could have profound ripple effects. When analyzing the power dynamics of the internet, "who controls a particular network" is the most critical question.
6. Protocol vs. Enterprise
The difference between a protocol network, such as email, and an enterprise network, like Twitter, is that the network effect of email belongs to a community rather than a specific company. Email is not owned or controlled by any company; anyone can access it using software created by independent developers that support the underlying protocol. Developers and users are free to decide what to build and what to use. The decisions that affect the community are also collectively made by the community itself.
7. Impact of New Technology
There are primarily two ways people use new technology: (1) to do things they could already do but now can do faster, cheaper, simpler, or with higher quality, and (2) to do entirely new things that were previously impossible. In the early stages of technological development, the first type of application is usually more popular, but the ones that have a lasting impact on the world are often the second type.
8. Corporate-Controlled Internet
The structure of an enterprise network is very simple: it is controlled by a single company that provides centralized services to the network. This company has absolute control and can modify the terms of service at any time and for any reason, decide who can access the network, and govern how funds flow.
Enterprise networks are centralized because ultimately all rules are determined by one person, typically the CEO.
9. Blockchain as a Contrarian Bet
Blockchain is unique. It is a contrarian bet. Despite many people (myself included) recognizing its potential, mainstream institutions often overlook it. In fact, the prevalent view in the tech industry is that only the technology improvements already focused on by incumbents matter, such as larger databases, faster processors, bigger neural networks, and smaller devices. This perspective is myopic.
10. How Hobbies Drive Future Industries
Unlike mainstream technologies, "outsider" technologies often emerge from the fringes. They are propelled by hobbyists, tech enthusiasts, open-source developers, and startup founders, incubating and growing outside the mainstream. These endeavors often involve less capital and formal training, leveling the playing field to some extent with industry insiders. However, the lower barriers also lead insiders to underestimate these technologies and their proponents.
Hobbies are the catalyst for future industries. Hobbies are often what the smartest people work on when unconstrained by short-term economic goals. I like to say that what the smartest people do on weekends will be what others do during the workweek ten years later.
11. The Simplicity of Tokens
What a token "is" is far less important than what it "can do."
A token can represent ownership of any digital asset, including money, art, photos, music, text, code, in-game items, voting rights, access rights, or even anything people might come up with in the future. With some additional building blocks, they can also represent real-world items such as physical goods, real estate, or dollars in a bank account. Anything that can be represented in code can be wrapped in a token for purposes of buying, selling, using, storing, embedding, transferring, or any other use.
If this sounds too simple or even trivial, that is precisely the intention of token design—simplicity is a virtue.
12. Owner vs. User
The concept of ownership is so deeply ingrained in our lives that we can hardly imagine what the world would be like without it.
Imagine if the clothes you bought could only be worn on the occasion of purchase; if you couldn't resell or reinvest in your house and car; or if you had to change your name every time you went somewhere? This is the digital world built by today's corporate networks.
13. Blockchain as a City
The functionality of blockchain has striking similarities to urban planning.
Launching a blockchain network is like building a new city on undeveloped land. City designers construct some initial buildings, then design a system of land allocation and tax incentives to attract residents and developers. Property rights—i.e., ownership—play a key role, providing property owners with a strong commitment: they will always own their property and can confidently invest in it. As the city grows, the tax base widens. Taxes are reinvested in public projects like streets, parks, more land is allocated, and the city continues to expand.
14. Restoring Community through Tokens
Blockchain networks embed community ownership deep into their core design, almost as if it's in their DNA.
While meme coin variants like Dogecoin may seem like a joke, they demonstrate how users seek community through various tokens (whether humorous or serious) to fill the sense of belonging and connection in the digital world.
These tokens are not just technical tools; they have become a way for people to rally around a community. By holding these tokens, users become participants and owners of the community, not just consumers. This design empowers users, disrupting the control traditionally dominated by centralized companies in the platform economy, creating possibilities for more decentralized, goal-oriented communities.
15. Blockchain as Network Constitution
Network designers can use blockchain to create formal rules enforced by code. These rules act as a network's constitution. The content of the constitution can be the subject of debate, discussion, and experimentation, but the mere existence of it and the ability to embed rules into immutable software represent an unprecedented advancement. This was not achievable in previous network designs.
16. The Two Cultures of Cryptocurrency
There exist two starkly different cultures interested in blockchain.
The first culture sees blockchain as a way to build a new type of network... I refer to this culture as the **"computing"** culture because its core idea is that blockchain is driving a new kind of computational revolution.
The other culture is primarily interested in speculation and making money. People in this mindset view blockchain solely as a tool to create new tokens for trading. I call this culture the **"casino"** culture because at its core, it's all about gambling.
But the "casino" culture should not drag down the "computing" culture.
Additional Section: The Good Old Days
Blockchain is at the forefront of computing development, much like personal computers in the 1980s, the internet in the 1990s, and mobile phones in the 2010s.
Today, people look back on classic moments in computing history, imagining scenes from that time—Noyce and Moore, Jobs and Wozniak, Page and Brin. Those amateur enthusiasts exploring, debating, and driving technological advancements, those creators who spent nights and weekends "coding."
It may seem late, but it's actually early. Now is the best time to reimagine what the internet can be and what it can do. Software is an unparalleled innovation playground. You don't have to accept the current state of the internet you find; you can create something better... as a builder, creator, user, and most importantly, as an owner.
You are here now. This is the "Good Old Days."
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
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