Epilogue - United We Compute or Divided We Fall
The key thing about all the world's big problems is that they have to be dealt with collectively. If we don't get collectively smarter, we're doomed.
– Douglas Engelbart

Friends, we are all participants in a grand experiment in consciousness and wisdom. The Internet, a marvel of technology that promised to bring us closer together and make us collectively smarter, has not lived up to its promise. The problems facing our world today are complex and overwhelming, from poverty and inequality to misinformation and cyberattacks. Hence, the term "Polycrisis"1 is emerging alongside an international organization agenda2 "to master the future."3

And yet, the words of Douglas Engelbart ring truer than ever. Engelbart's bottom-up approach was to empower individuals with technology to increase their collective intelligence and ability to collaborate, rather than relying on top-down solutions imposed by central authorities. Bottom-up is made practical by the idea of subsidiarity, which holds that social and economic issues should be dealt with at the most local level possible, and that higher-level authorities should only intervene in issues that cannot be effectively addressed locally.

This epilogue is a reflection on this bottom-up journey towards collective computing, and a call for future-conscious humans to come together, reshape the Internet, and create a better future for all. For, as we modify the old saying, "united we compute or divided we fall."

Let's Go Again Sally4

At first, we thought the Metaweb would receive a hearty welcome in Silicon Valley. After all, it solved their problems. Or so we naively thought. But as we soon realized, we were swimming upstream. We were told, "People won't install an extension," "Google will crush you," and "Many have tried this. What makes you think you can be successful?" Yet, we never heard, "Why are you different?"

Supposedly "open" organizations like the W3C (the World Wide Web Consortium) and Mozilla proved impenetrable. Incubator programs focused on "Fixing the Internet," like Mozilla Builders Program and Betaworks, were disinterested. The Tools for Thinking accelerator didn't think much of us. Foundations committed to stopping "fake news" like the Craigslist Foundation and the Omidyar Group gave us a stiff arm. Pharrell's Black Ambition wasn't happy with our application. We almost got a grant from the NEAR foundation. Even American's Seed Fund didn't support this sprout.

We harbor no resentment. Everything happens for a reason. Perhaps we weren't far enough along.

Like any groundbreaking technology, the Metaweb in its various nascent forms has been told "NO" countless times. The Metaweb (as we have represented it) has been denied entry to prestigious accelerators, financing, grants, speaking slots, mentorship, and other types of access in Silicon Valley. Our ideas of a hyper-dimensional web were apparently antithetical to the prevailing yet faltering wisdom that is lurching us into a future that most of us don't want. Even some leaders in the annotation space have been reluctant to throw unequivocal support behind the Metaweb.

The preponderance of evidence suggested that the Metaweb would not have its breakthrough in Silicon Valley. As George Bernard Shaw so aptly reminds us in Man and Superman, "The reasonable man adapts himself to the world: the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable man." So we left ... .

The Problem is Bigger than we Imagine

Even after learning about the Metaweb, it is not uncommon for people to question its purpose or financial viability. A novel analysis, however, using a modified Metcalfe's law reveals that an immense amount of value is untapped. The Metaweb presents an unprecedented opportunity to capture this value for the collective good while addressing the most pressing issues of our time.

Yet the legacy web has significant inertia, and people are right to ask, "what's a big enough problem that's going to inspire enough people and companies to adopt a monumental shift in thinking around the Web?" The answer lies in understanding humanity's relationship with computers. We have evolved from having hard drives the size of commercial refrigerators seven decades ago, to now having slim handheld devices that enable us to instantly retrieve information and communicate wherever we are.

The Metaweb is the next step in this evolution, enabling us to break free from the cognitive cages of the legacy web and unlock indirect collaboration via digital stigmergy. It's a monumental yet necessary shift for us to collectively capture the value of collaboration and democratically address the most pressing issues of our time.

For clarity, Metaweb theory solves this problem:

Our personal computing paradigm traps us in cognitive cages that obfuscate our incarceration and prevent us from accurately conceiving our position, much less operating as a planetary collective. Hence, we leave tremendous value on the table and remain unable to effectively address our planetary challenges and existential threats.

The impact of the problem is clear. It is widely acknowledged that humanity is facing significant challenges, whether it be in the news, economic indicators, case numbers, or unintended consequences of emergent technologies. It is also evident that traditional solutions such as political and regulatory approaches and global cooperation are insufficient. We can utilize network mathematics to evaluate the opportunities that are being missed. While these methods are not perfect, they still provide valuable insights.

Rather than jump directly into the analysis, let's recall the story of humanity's relationship with computers, which is one of constant evolution and adaptation.

We used early computers for calculations and data processing. They were large, bulky, and required specialized knowledge to operate. As technology advanced, computers became smaller and more accessible to the general public. With the advent of the internet, computers became humanity's primary tool for communication and connection and knowledge base.

Along the way, we realized that the potential of computers was far greater than we had imagined. We saw the possibility of using computers to enhance our ability to learn, work, and play. We saw the potential for computers to improve our productivity, connect us with people from all over the world, and make our lives easier.

However, as we became more reliant on computers, we also began to see the negative effects. The Internet, which was once a tool for connection, became a source of fragmentation, isolation, and exploitation. We found ourselves trapped in filter bubbles, surrounded by clickbait, propaganda, and misinformation. Our attention was constantly being pulled in different directions, and our ability to focus and think critically was diminished. Our computers had captured our imagination and constrained us in cognitive cages with invisible bars.

The integral accident of the personal computer is that it indeed is personal, allowing a singularly focused direct connection to itself. Its purpose is to provide content, interactions, and ads for us to engage with. Other people show up as content authors and through messages. The integral accident is reinforced by the structural constraints of Today's Web – being flat, static, and centralized – which naturally led to fragmentation through competition for mindshare. There are multiple sites, apps, and communities for every perspective on every topic, often promoted with superlatives, such that we don't need to think. And with the coming flood of generative AI content, it's only going to get more muddled.

The specter of deplatforming, shadow banning, and other demonetizing controls exacerbate the web's fragmentation. For example, many alternative voices on YouTube have backup channels in case their main channel gets community guidelines strikes. To make up for income lost to demonetization, many creators offer more provocative content through Patreon channels. Common practice is now for creators to share scrubbed content on YouTube, and uncensored content on multiple smaller outlets that support free speech such as Rumble, Minds, Parler, Gettr, Truth Social, and Locals.

In this informational quagmire, rather than think critically to form our own opinions, we shift our attention among the ever-ready streams of perspectives that feed our confirmation biases, and engage when so inclined. In the ever-growing sea of content, sites, and apps, attention becomes the scarcest of commodities. Everyone competes for eyeballs. Differentiation and separation is the result. Algorithms and auctions for your attention are the mechanism.

And because computers were beholden to the individual rather than a network, the user was made to be accountable for everything that occurred to them. No one even considered making systems that held people accountable for harm to others because it wasn't an obvious derivative from personal computing or social media business models. Spammers, scammers, catfishes, impersonators, cyberbullies, trolls, and sexual predators proliferated on the Web. Caveat emptor was the unspoken rule, embedded in the terms and conditions that almost no one read; use at your own risk.

The effect was to isolate us in a dangerous new digital world. We have multiple devices, all providing direct access to the Web, yet none offer us a real-time digital presence or community, although this is envisioned in the metaverse. Yet still without accountability or safety. When we are on the web, we are alone in a digital den of invisible thieves and extractors.

Messaging may reduce the feeling of isolation. But it can be distracting when off-topic, often requiring us to code-switch. It is also mediated by the machine and often unencrypted, which has privacy ramifications. Again, use at your own risk.

We don't have safe, durable spaces for sharing relevant, contextual information so when we find things, we put them in silos, usually on our devices or on the cloud. And more of us are now retreating from the major platforms to smaller more authentic spaces that are not infested by trolls and fake accounts. This furthers the fragmentation.

Personal computing is about our direct, one-on-one relationship with the computer, and by extension with the virtual machine that comprises the wires, networking equipment, servers, databases, and organization across the planet that seek to capture our attention. Four billion of us are hooked up to the machine, many having few or fleeting meaningful connections with other humans online or IRL. In many Western countries, most people don't even know their neighbors. When you watch YouTube, when you read a Wikipedia article, when you look at your feed, when you read your email, you're completely alone.

Being isolated opens us up to exploitation by algorithms and platform business models. The funders of these systems are quick to point out the systems' celebrated network effects, yet their platforms do not provide you network effects in getting your problems solved, your questions answered, or your life improved. You don't get to meet people who can supply the missing pieces to your puzzles or connect with people that you uniquely can benefit from. Apparently, what's good for the goose is not good for the gander. #FowlPlay

The machine wants your attention, money, and time. It doesn't care how you feel except to the extent that it can use that knowledge to get more from you. The machine is an extractor; it wants to suck whatever energy it can get from you. It wants you to think that being online is enriching your life so you keep coming back for more. But it doesn't care if it is actually good for you. It wants more and more of our time, attention, and money.

Many entities are part of the machine – the manufacturers who make the machine, the electricity producers and providers, the network operators, the access providers, and the platform operators. The machine includes anyone who thinks of you as a stakeholder, consumer, or victim. They may not know who you are but they have you profiled. And they compete to get access to you, through auctions and through your choices.

They bid to get in front of you; to get the chance to extract from you. They use everything you give them – your behavior, your preferences, your creations, and your data – to figure out how to best extract from you. And again, they don't care how you feel as long as you keep clicking. In fact, they benefit from dysfunctional, mal-intentioned, trolling interactions, and inauthentic activity just as much from beneficial activity. The machine is indifferent. Any virality is good virality because it pays.

Together, fragmentation, isolation, and exploitation limit our imagination, not only for what we imagine is possible for the Web but also for our online and IRL lives, putting us in a cognitive cage. Many don't believe it's there because they can't imagine the contours of the bars, which gives the machine plausible deniability. We don't see the possibility of anything different because we can't see the web changing – literally or figuratively – and we intuit that there is no real solution. Yet we know we're in the cognitive cage when we realize we aren't able to align our individual and collective interests or even act in our own best interests online.

We know there are major problems in the world, but we have no agency as singular isolated beings, floating alone in an ocean of trending content. We're just one person. Even with people, governments, and nonprofits supposedly working on fixing the Web, the problems don't seem to go away. In fact, the machine shows us they are getting worse. We're stuck in our cognitive cage, isolated online, and unable to imagine a better world. So we shut down parts of ourselves that would do something if it could. The Wicked Web of the West is now in control.

In the Footsteps of Ants
All great inventions emerge from a long sequence of small sparks; the first idea often isn't all that good, but thanks to collaboration it later sparks another idea, or it's re-interpreted in an unexpected way. Collaboration brings small sparks together to generate breakthrough innovation.
– Scott Belsky, founder, product, investor

This reminds us that the way out is to go in ... together. It's much too late to pull the plug on the machine. The cat is out of the bag, and together we've made a mess out of the house. We need computers to help us organize the clean up. But rather than 4 billion separate conversations with the machine, we need the machine to see us as a coordinated network of cleaner uppers so that we can do our respective parts, ideally with zero duplication, minimal coordination, and leveraging our strengths, interests, and desires to the extent possible.

We often hear the phrase "standing on the shoulders of giants" when it comes to great success, for example, in reference to the founding fathers of the US or in award recipient speeches. We should, however, also take inspiration from another tiny but mighty creature – ants. Ant colonies are incredibly organized and efficient, all without the need for direct communication. It's time to learn from these masters of collaboration and organization.

We have to change our thinking about the Web such that it supports a shift from a personal computing paradigm that disempowers and extracts our energies to one that embraces and enhances the collective good. A paradigm where we use computers together as a network of networks, as a collective of collectives, for the greater good, following in the footsteps of ants.

What could that look like? Whatever problems you are dealing with or working on, you would be connected to other people in the world who are working on the same thing and who are able and willing to help with these types of problems, and who are available when you need them. Or who have left traces on the Web that can lead us to resolution. The hard part is finding one other and connecting, which is facilitated by on-page presence. Just go to the relevant webpage and see who's there, or who has been there recently. Or what they wrote in the canopi. Besides on-page presence, AI will also be helpful in helping us find one another.

Collaborations can start with a basic agreement on principles of coordination, with the views of the problem and solution expected to converge in the course of the coordination. Related bridgework may provide a shared contextual view of the problem and solution spaces that evolves over time. That way, when we are talking about something, and looking online in the same direction, we see the same thing.

Here are some examples:

Whatever and whenever we need, the collective is there, whether through content, online, or in person.

As we continue to evolve our relationship with computers, we are again seeing that its potential is far greater than we had imagined, as will be demonstrated by the analysis below. We see massive potential for value creation through on-page presence, knowledge building, and collaboration. We realize, by working together, we can tap into the full potential of the collective and its innate intelligence. We see the potential for computers to bring us together, and to make us smarter both individually and as a collective, and we can imagine the feedback loops between the two.

Hence, the future of our relationship with computers is one of collective computing, where we use computers together as a collective of collectives to address our individual needs as well as our planetary challenges.

Adopting a collective computing approach would help address the United Nations Sustainable Development Goals (SDGs) in a comprehensive and unified manner. Economic interests may prioritize certain SDGs that align with their goals, but connecting researchers, practitioners, and initiatives within and between SDG goals, building a bridge-based information ecology for the SDGs, and reconfiguring SDG incentives, or providing additional incentives, could encourage stakeholders to consider SDGs equally and holistically.

The shift towards collective computing would enable new forms of collaboration, and help develop humanity's collective cognitive capabilities, which are also essential for addressing global challenges. Furthermore, it would allow for the creation of a collaborative online knowledge-based economy, where the value of information is determined by the quality, relevance, and accuracy of the data, rather than the attention it generates.

This is problematic, as the attention economy not only exacerbates our global challenges but hampers us from addressing them. On the other hand, a knowledge-building economy could be foundational in solving them.

By connecting and collaborating in ways that are impossible with Today's Web, we can tap into the full potential of the collective and create something greater than the sum of its parts. The difference in value between 4 billion isolated users on the Web compared to 4 billion collaborators is truly staggering.

Using Metcalfe's law, we can measure the difference in value mathematically. Metcalfe's law states that the value of a network is proportional to the square of the number of its participants:

V = n (n-1)/2

where V is the network value and n is the population.

The more participants connected in a network, the greater the network value. In the context of the web participants, the value increases exponentially with the connections between participants. The increase in connections between participants can lead to various benefits such as an increase in productivity, connection, communication, collaboration, sensemaking, and collective intelligence. It creates diversity in perspectives, talents, and interests that can be leveraged for deeper engagement and better decision-making.

If we think of the web as an orchestra, each individual user is a solo musician with their own talents and abilities. The orchestra can only work if the solo musicians collaborate. Imagine an orchestra of solo musicians, each playing with headphones on, only hearing their own contributions. The result would be a disjointed, chaotic, and cacophonous performance.

On the other hand, when these solo musicians are able to work together with the help of a conductor, the result is a beautiful and powerful symphony. In the same way, when 4 billion isolated web users are able to collaborate and work together with the help of a collaboration machine, the result could be a more coordinated and productive experience for all. By connecting and collaborating, we can tap into the full potential of the collective and create something greater than the sum of its parts.

Applying Metcalfe's Law to the scenario of 4 billion isolated web users, the network value is 4 billion. When, however, we apply Metcalfe's Law to the scenario of 4 billion people who are able to collaborate on webpages, the network value increases astronomically. The value of the network is equal to:

V = n (n - 1)/2 = 4 billion *(4 billion-1)/2 = 8 * 1018

where V is the network value and n is the population.

This is 2*109 times greater than the value of the network when 4 billion people are isolated. This staggering difference in value theoretically could occur if 4 billion people were able to collaborate and connect on the Web. But this obviously is not a reasonable assumption given human constraints such as time, attention, and access.

Applying Metcalfe's Law to 4 billion humans collaborating on the internet is problematic for several reasons. First, human relationships and connections are not as simple or straightforward as connections between devices in a network. Humans have limited time and capacity for close, stable relationships, which can impact the formation and maintenance of connections on the internet.

Second, the value of a connection between humans is determined by the quality and nature of those connections. In other words, not all connections are created equal and the value of a connection can vary greatly depending on the context and purpose of the connection.

Third, humans are not purely rational actors and their behavior cannot be easily predicted or modeled, which makes it difficult to accurately measure the value of connections between humans on the internet.

That said, the stigmergic nature of the Overweb creates an environment where the value of a connection is not solely determined by the people we know. The Overweb allows us to indirectly collaborate with all those who share our interest in a topic, by leaving traces in the form of smart tags, canopi chats, and visibility lists that layer knowledge on webpages. This expands the number of people that we can collaborate with well beyond the number of stable relationships or even the number we can directly communicate with. It also allows for larger group sizes and a more diverse set of perspectives. In other words, the Overweb's stigmergic nature creates a more flexible, inclusive, and diverse collaboration environment.

To make allowances for our humanness though, we conservatively assume that even with powerful stigmergic collaboration tools, people on average will choose to collaborate within small networks. We can modify Metcalfe's law to calculate the network value assuming that people collaborate in groups, as follows:

Vs = n/s * s * (s-1)/2 = n * (s-1)/2

where Vs is the network value for group size s, s is the group size, and n is the population. A good starting point for group size is the Dunbar number, a concept introduced by British anthropologist Robin Dunbar in the 1990s. It refers to the maximum number of stable social relationships that a human can maintain at any one time. He found that the size of the neocortex, the part of the brain responsible for complex thinking and social cognition, is proportional to the size of social groups in primates. He proposed that this relationship also applies to humans and that the average human can maintain stable social relationships with around 150 individuals. The Dunbar number is often used as a benchmark for the size of social groups in human societies, such as the size of a tribe or a village. It is also commonly used in the context of social networks and online communities, where it is believed that people have difficulty maintaining more than 150 stable relationships.

To calculate the network value of 4 billion people collaborating in groups of 150, the Dunbar number, the value of the network is equal to:

V150 = 4 * 109 * (150-1)/2 = 298,000,000,000 = 2.98 1013

So, according to Metcalfe's Law, the network value of 4 billion people collaborating in groups of 150 is 74 times larger than that of an isolated network like Today's Web.

Figure 17.1

Figure 17.1 shows how the increase in the network value varies according to collaborative group size. The network value of 4 billion people in groups of 10, 50, and 100 collaborators is 350%, 2350%, and 4850% larger, respectively, than that of 4 billion isolated users.

Figure 17.1

Figure 17.1 Untapped network value increases exponentially with the size of collaborative groups.

Besides the value of collaboration based on person-to-person connections, we can also use Metcalfe's Law to estimate the contextual value of networks, specifically from connecting information with bridges. The bridges generate the Universal Content Graph, which serves as the foundation of the Overweb. As discussed in the synaptic web section above, context enables and enhances sensemaking, collective intelligence, search effectiveness, usability and navigation of the web, and productivity.

First, we need to estimate the number of bridgeable pieces of online content. Competing factors are at play. There are 1.7 billion websites, each of which can have many pages, and each of which can have multiple bridgeable pieces of content (e.g., Wikipedia, an average video or podcast). We can leave out the 96% of the Internet that is the deep web and darknet. We can also assume that a substantial fraction of surface web content is duplicate or worthless SEO pages. Taking this all into account, the value of the network is equal to:

C = S * sw * p * c * d

where C is total pieces of bridgeable content, S is total sites or 1.7 billion, sw is the fraction of the surface web or 0.04, p is pages per site – estimated at 10, c is pieces of content per page – estimated at 10, and d is the fraction of useful content on the surface web – estimated at 0.8. This resolves to:

C = 1.7 * 109 * 0.04 * 10 * 10 * 0.8 = 5.44 * 109 = 5.44 billion

The relatively modest bridgeable content estimate of 5.44 billion unique pieces is fewer than the world population. More so than humans, most pieces of bridgeable content are not connectable. Content only bridges to content to which it directly relates. To account for this, we need to limit the average number of bridges per piece of content. Let's assume that each piece of content has 100 bridge connections.

Using the modified Metcalfe's Law for groups from above to calculate the network value of 5.44 bridgeable pieces of content with 100 bridge connections, the contextual value of the network is equal to:

V100 = 5.44 * 109 (100-1)/2 = 269,280,000,000 = 2.69 * 1011 = 269 billion.

We can also calculate the contextual value of Today's Web. First, we need to estimate the number of linked pages. In this context, we are only interested in outbound non-promotional links. As before, we need to screen out the deep web and darknet as well as duplicative and SEO content.

P = S * sw * p * l * d

where P is total linked pages, S is total sites or 1.7 billion, sw is the fraction of the surface web or 0.04, p is pages per site – estimated at 10, l is outbound non-promotional links per page – estimated at 2 (which may generous), and d is the fraction of useful content on the surface web – estimated at 0.8. This resolves to:

P = 1.7 * 109 * 0.04 * 10 * 2 * 0.8 = 1.088 * 109 = 1.088 billion

Using the modified Metcalfe's Law for groups from above to calculate the network value of 1.088 linked pages with 2 links each, the value of the network is equal to:

V = 1.088 * 109 * (2-1)/2 = 544,000,000 = 5.44 * 106 = 544 million

But we're not done. We must also consider, whereas bridges are bi-directional, links are unidirectional. Therefore, the contextual value of a link is half that of a bridge, which puts the contextual value of the web at 272 million. This analysis suggests that bridging could increase the contextual value of the Web by several orders of magnitude:

Increase in value from bridges = 269 billion/272 million = 988

This huge increase in value isn't shocking given the paucity of links on Today's Web and the relative flexibility and power of bridging.

The value comes from context-based services that enable or enhance sensemaking, collective intelligence, search effectiveness, usability, and navigation of the web, and productivity. These all depend on the Universal Content Graph, which is the aggregation of bridges.

But how do we really know the value is there?

We know that people value search the most out of all Internet services. A 2017 study by MIT and the University of Groningen in the Netherlands found that people would have to be paid $17,530 per year to stop using search engines.5 Assuming this value scales with inflation, it would be over $21,000 in 2023. With the release of ChatGPT in late 2022, we are already seeing less dependence on Google; it is not clear how much lower the stop-using-search figure would be or how high the stop-using-ChatGPT value would be, given that ChatGPT cannot at this time replace search engines.

With bridges aggregating into the Universal Content Graph, we will see an improvement in content discovery as well as usability and navigation of the web, which could also improve search engines that incorporate the data. Imagine having the ability to focus on a specific topic and easily access verified, relevant information related to it, without having to search for it. Not only information but interactions such as conversations, meetings, polls, and more; and you only see what makes it through your smart filter, which you control. This not only saves time and effort but also creates a highly efficient and valuable hyper-dimensional experience.

Coupling the Universal Content Graph and AI enables a global representation of human consciousness that could anticipate what you need before you ask for it. Imagine the value of the data for discovery, sentiment, intent, and polling as well as training and tuning AI and even more so if capabilities such as A/B testing are native. People could potentially earn a basic income from allowing the data to be captured and used in this decentralized global brain.

Beyond content discovery, we know that people value truth. The context created by the Universal Content Graph enables sensemaking, fact checking, and collective intelligence. There is also huge value in helping people avoid fake accounts, scams, cyberbullies, trolls, abuse, catfishes, and false virality. The AI will enhance all of these as well.

And vice versa. The Universal Content Graph enhances the AI, providing it training data, helping it find relevant information, and enabling it to generate in context. There is much largely unrecognized value in generating information and content where you are, freeing you from having to copy, paste, and code switch over to a chatbot silo. Imagine seeing a meme. Long click to select the image, prompt to generate 7 original memes based on the meme template that relate to your project, select and make any needed edits to those you want to use, schedule them, and move on to the next task.

That all said, it may take years to reach the assumed level of 10 bridges per piece of bridgeable content. Hence, we will continue to the next step, building upon the previous analysis of the network value of collaborative groups, which is to estimate the actual value we are leaving on the table by fixating on the personal computing paradigm.

While there are no definitive estimates for the value of the Internet, a 2019 report valued the U.S. Internet Consumer Surplus at almost $8 trillion.

Consumer surplus is an economic concept that refers to the difference between the amount that consumers are willing to pay for a good or service and the amount that they actually pay for it.

In the case of the Internet, consumer surplus can be thought of as the value that consumers derive from using the Internet beyond what they pay for it. This can include things like the ability to access information, communicate with others, and participate in online communities and marketplaces. Assuming the US is a quarter of the world economy, the world Internet consumer surplus would be about $32 trillion.

Assuming this is the entire value of the Internet, enabling collaborative groups of 10, 50, and 100 would value the collaborative Internet at $112 trillion, $752 trillion, and $1.5 quadrillion, respectively.

That's no small potatoes. Obviously, there are many degrees of imprecision and assumptions embedded in those estimates. Nonetheless, they are directionally correct as we are missing out on the huge gains available through collective computing.

But you may still be wondering how massive value can emerge from within the current system? History shows us a pattern of parallel systems rising to dominance. These systems can emerge within an existing system by offering advantages and benefits that existing systems cannot match. Over time, they gain acceptance and become the dominant system.

The tapestry of history is woven with systems superseding one another, and in most cases, the next one creates much more value than the previous, hence the transition. For example, the rise of Pythagoras' spherical Earth, the Roman Republic, Christianity, the Industrial Revolution, and the Internet all exhibited this pattern, which can be explained in part by the Two Loop model discussed in Chapter 7.

The first instantiation of the Metaweb – the Overweb – is an emergent parallel computing system that supports collective computing and even has a complementary currency system through the use of tokens. With the Overweb, we go from a flat and static Web to a hyper-dimensional space with unlimited parallel layers, each with a meta-view of Today's Web, unlocking a world of new possibilities and potential. It's exciting to think about the impact this technology could have on our society and the way we live our lives.

Today's Web is Far From Decentralized Even With Web3

If humanity is a teenager and the Web is a child, the Metaweb is in the birth canal. While the Metaweb incorporates elements of Web 2.0 and Web3 and builds upon – and over – Web 1.0, it differs from them. The existing iterations of the Web – including Web3 – do not decentralize the Web experience, which is perhaps the most important aspect of the Web.

While Web 1.0 decentralizes information, Web 2.0 decentralizes publishing, and Web3 decentralizes ownership and transactions, even in their most idealistic and elusive incarnations, the webpage remains under the control of the page author.

In Web 1.0, Web 2.0, and Web3, the content on a page is sacrosanct. None of these support their users in contemplating, questioning, or discussing information. They allow the page to stand on its own, so that users can consume, digest, and share it, regardless of value, accuracy, and relevance. Anyone can publish on the Web and social media. But it's difficult to get anything taken down.

The Metaweb takes a novel approach to the web experience. While it doesn't alter webpage content, it creates decentralized public space above every webpage. Communities can create worlds of information, interactions, transactions, and experiences above any webpage.

Leaping from Web3 to Web5

On June 10th, 2022, Jack Dorsey, co-founder of Twitter and CEO of Block, said his team's most important contribution will be Web5, an "extra decentralized web platform." Web5 brings decentralized identity and data storage to applications. Developers can focus on creating delightful user experiences while returning ownership of data and identity to users.

The logic is that Web5 = Web 2.0 + Web 3, combining the captivating experiences of social media with decentralized ownership of data and identity, in this case, built on the Bitcoin network. While Web 2.0 and Web3 operate in silos, and a marriage of the approaches would be a giant step forward, it leaves Web 1.0 out of the picture.

The Web has over 1.7 billion websites, with hundreds of thousands being added every day.6 The overwhelming majority of these are Web 1.0, as Web 2.0 is less than 300 notable social media networks.7 Web3 has less than 5,000 active dApps.8 Thus, Jack's Web5 (which differs from the Web5 proclaimed by web founder Tim Berners-Lee in 20099) may only affect thousands if not hundreds of sites in the near term.

This begs the question, does yet another web technology silo merit having its own web generational number? Web 2.0 and Web3 are web silos. Should Web5 be another web silo that combines two silos? Time will tell.

Jack's proclamation created a void that the Internet noticed: what happened to Web4?

Before Jack's Web5 and more since claims to the Web4 mantle emerged from startups and pundits. A semantic web driven by AI and machine learning. An invisible yet active web with virtual assistants that know your habits and tastes. A seamless and minimal friction combination of blockchain, machine learning, AI, VR, AR, robotics, 5G, and IoT. Mobility and voice interaction between the user and robots. A web connecting mobile devices in real-time in the physical and virtual worlds. While these are likely on the way (or have already started on Web 3.0), none seems worthy of the Web4 distinction, given their timelines. Some may ultimately become part of Web 4.0 with the Metaweb and a fully immersive metaverse, but this remains to be seen.

Enter the Metaweb

The Metaweb is here, and it brings together elements of Web 1.0 and Web3, providing a wallet, annotations, and interactions over billions of webpages. It can also work over Web 2.0 social media sites and traditional dApps. Hence, the Metaweb is a safe, social layer with

Figure 17.2

Figure 17.2 The number of sites involved in each generation of the Web.

ownership and accountability above the entire web. It's a Web above the Web. Or more precisely, a hyper-dimensional Web over the Web. An Internet over the Internet.

Thus, the Metaweb is Web4.

As shown in Figure 17.2, the number of sites addressed by the Metaweb dwarfs the number of sites involved in both Web 2.0 and Web3.

Whereas the other Web4 claimants are neutral regarding democracy, the Metaweb aligns with a democratic future. It is inconceivable that extrapolating Today's Web into the metaverse or any AI, virtual assistant, 5 G mobile-first world without unprecedented safeguards will portend the fair and just democratic future that is our birthright.

The Web is our most important communication and collaboration tool, and it anchors modern life. Our global challenges need to be addressed collectively with unprecedented levels of connection, communication, and collaboration. Given our extensive global challenges, we must leverage our most important tools – and especially the Web – to their fullest collaborative expressions. Humanity is already exploring the Web's potential for negative and harmful expressions. Now it's time to discover what's possible in the positive polarity. If we continue to rely on a web rife with scams, abusers, and false information, we can't imagine humanity being able to transcend its existential threats.

The Metaweb unlocks this possibility.

Towards Collective Intelligence

From the 1960s to the 1980s, a shy engineer named Douglas Engelbart sought to bring collective computing to the Web. He wanted to equip teams working on global challenges with much better tools. Although best known for the Mother of All Demos in 1968, where he unveiled the computer mouse, Doug's most significant contributions were envisioning tools that would increase humanity's collective intelligence.10

As the rate and scale of change increased worldwide, Engelbart foresaw the exponentially increasing complexity and urgency of problems and opportunities we are now facing. Thus, he surmised, our collective capability for pursuing these challenges would need to increase, if not surpass, this rate of change for humanity to thrive on Earth. One of his two primary focuses was boosting human intellect, which he later called Collective IQ. It was a measure of how a team or organization could address a complex, urgent problem or opportunity. The other was boosting humanity's ability to apply Collective IQ to improve its Collective IQ; getting smarter at getting smarter.

Doug designed systems to enable people to work together on important challenges by drawing people in, making connections between them, and advancing their ideas towards solutions. He designed tools, processes, and organizational structures to develop solutions for important problems by leveraging collective cognitive capacities into applicable knowledge. These capabilities include collective perception, memory, insight, vision, planning, reasoning, foresight, and experience. The systems would evolve. Both the people and information could change the process, enabling the system and its various elements to improve over time.

Doug wanted humanity to think, learn, and build knowledge together, to address our then-forthcoming but now-pressing global challenges.

But the computer revolution took hold around him. Opposing paradigms such as office automation, artificial intelligence, WYSIWYG, and personal computers gained popularity, closing off Engelbart's funding sources and the organizational support for his work. Thus, the world veered away from Doug's vision of collective computing that boosts human intellect towards the personal computing-based hot mess that we have today.

We, at Bridgit DAO, are proud to follow in the giant footsteps of Douglas Engelbart, Marc Andreessen, Bernadette Farias López, Vannevar Bush, Ted Nelson, Ada Lovelace, Tim Berners-Lee, Grace Hopper, Vint Cerf, Wendy Hall, Dr. Thomas Mensah, Dan Whaley, Ruben Brave, and other pioneers who brought collective computing to this point. We're exploring new capabilities for boosting collective intelligence, including new tools and ways of interacting with knowledge and one another. These involve novel methodologies, symbols, organizational roles, structures, and languaging.

We are excited about the co-evolution of the Web, the spatial web, the conceptual realm, and the Metaweb, as well as knowledge-building processes and decentralized organizations. Together, emergent systems can enable the continuous building and application of knowledge, supporting a growing collective intelligence that enables humanity to transcend its current and future challenges.

Yes, our challenges are enormous, including the need to break free of our cognitive cages so we can overcome the limitations of flat web thinking. Furthermore, the coming Dead Web of generative content, misalignments with both the Attention Economy and with AI, and the United Nations' Sustainable Development Goals all speak to interlinked planetary problems that require planetary solutions. By transcending our mental blocks and working collaboratively, we can create a better future for all. Let's seize this opportunity and build a brighter, more democratic, and free world.

Now is the time to come together as a united force and follow in the footsteps of ants! United we compute or divided we fall. Let's collaborate indirectly, in real time, and in person to create the future we all want to live in. May we rise to the challenge and build a better, more prosperous, regenerative, and fair world for all beings.

May the future be bright, democratic, and free. Imbued with balance, deep connection, and reverence. Anchored by love, light, and truth ... . All above, on, and beyond the webpage.

Notes

1. https://permanent.link/to/the-metaweb/polycrisis

2. https://permanent.link/to/the-metaweb/world-economic-forum-global-risks

3. https://permanent.link/to/the-metaweb/world-economic-forum-master-the-future

4. Kudos to the first to independently decipher this puzzling section title and inscribe it as a digital artifact on Bitcoin

5. https://permanent.link/to/the-metaweb/internet-consumer-surplus

6. https://permanent.link/to/the-metaweb/how-many-websites accessed July 28, 2022

7. https://permanent.link/to/the-metaweb/wikipedia-social-networking-services accessed July 28, 2022

8. dApps are distributed applications. https://permanent.link/to/the-metaweb/how-many-dapps reported 4073 when accessed on July 28, 2022

9. https://permanent.link/to/the-metaweb/berners-lee-web5

10. https://permanent.link/to/the-metaweb/engelbart-tools-collective-intelligence