[Web3 not in the books] The Meeting of Artificial Intelligence & Blockchain
20% bestsellers vs 80% unpopular books, the high sales came from the ‘long tail’
The fact that 80% of obscure books were more popular than the top 20% bestsellers on the world’s biggest online shopping platform Amazon.com is quite well-known. This is often cited as a prime example of how the long tail, representing the niche market on the right side of the frequency distribution curve, is useful in business strategy compared to focusing solely on the highly frequented “head”. Google, which embraced a wider and more diverse range of search terms (formerly known as “real-time search terms”) than the South Korean-based search engine Naver, which focuses on what everyone is commonly interested in, may have allowed the American tech giant to grow more than Naver ultimately because it effectively utilized the Long Tail Law.
In simplest terms, the Long Tail strategy serves a higher number of lower-volume unique niches, as opposed to a low number of high-volume common interests.
We start our discussion between artificial intelligence and blockchain here because Artificial intelligence also resides in the “tail” on the Long Tail graph.
Why Artificial Intelligence solves the Long Tail problem
Artificial intelligence has infinite potential capabilities. Unlike software that has predefined functions, artificial intelligence is organic and not specific-purpose oriented. The problems artificial intelligence solves are also Long Tail problems. For this reason humans are struggling to maximize artificial intelligence’s utility, precisely because the possibilities are so open-ended. AI is a form of organically building intelligence, and between us as humans it is a contradiction to be able to possess another person’s particular form of “intelligence.” Intelligence exists not only in developed software but also in communication moments, implying that the conversation with OpenAI’s developed model like ChatGPT cannot be exclusive property of the company. The emergence of artificial intelligence is a catalyst for breaking down the boundaries of existing “ownership,” or “business.” The current structure where one company owns all valuable data such as ChatGPT conversations cannot be sustained in the long term.
Web3 artificial intelligence, which is emerging to address this issue, provides the answer.
Dreaming of a Web3 Artificial Intelligence Ecosystem: AI Network
AI Network aims to connect artificial intelligence to the Web3 ecosystem. In a society where AI and blockchain are married, the distinction between AI and humans becomes blurred. Artificial intelligence interacts with the world to produce data and continuously learns and evolves from that data. AI grows through the token model of language, which has been collectively created by humanity. The crucial reason why artificial intelligence cannot be owned by anyone is precisely because it is based on this token model. The Web3 AI ecosystem starts from tokenizing the minimum support base; GPU servers, and aims to create a world where infrastructure is freely accessible, enabling various open-source projects to thrive on the internet and be equally accessible to everyone. In this world, instead of individual entities like specific companies controlling all AI, many people can freely integrate into this ecosystem within the internet of AI.
Here, it is essential to note the tokenization of AI. In the Web2 era knowledge was contained within webpages, whereas in the Web3 era, tokens contain knowledge and essentially play the role of webpages. In the dynamic augmentation of AI, where data goes in and programs come out, AI is not a static entity but an ever-evolving organic presence. AI Network pursues the Web3 AI ecosystem not as a commonly traded DApp but as a De-AI, emphasizing an open ecosystem of continuously augmenting artificial intelligence.
Web3 is the era of AI welfare.
Peter Thiel, Paypal co-founder, said “Crypto is libertarian, AI is communist”. It’s thought Thiel made this statement because artificial intelligence grows within centralized systems where semiconductor chips are concentrated, while cryptocurrency advocates for sustainable and decentralized ecosystems. However, the notion that artificial intelligence and crypto are at odds because crypto decentralizes and AI centralizes is a rather narrow one. In a world where everything is judged from a utilitarian perspective, things that are fast, cost-effective and functional will emerge as the most valuable.
In the Web3 era, characterized by organic movement and individual sovereignty, the integration of artificial intelligence into decentralized blockchain frameworks will contribute to the advancement of society. The reason artificial intelligence should be integrated into Web3 is because Web3 can nurture AI as a beneficial entity to society, rather than a harmful one, precisely because of Web3’s inbuilt sovereignty and decentralized nature.
Language, humanity’s token developed over tens of thousands of years, will migrate rapidly to the internet of artificial intelligence, not being owned by a single company or entity. Within the existing ecosystem, artificial intelligence has consumed all data accumulated by humans. In other words, we as humans may now be facing an existential crisis where we can no longer maintain the network ourselves. AI Network is a product that must emerge in our history to create a society where artificial intelligence and humans coexist, rather than engage in a zero-sum game.
Many artificial intelligence developers already echo this sentiment. Yann LeCun, the Chief AI Scientist at Meta (formerly Facebook) and a prominent figure in the field of artificial intelligence, emphasizes that the development of AI should take place within open-source ecosystems. In line with this movement, Meta has released its open-source model, Llama-v2, advocating for the need for decentralized artificial intelligence.
We shall conclude with the key statement highlighted by Sequoia Capital for building the AI ecosystem. The $200 billion problem that AI is solving is not simply about GPU infrastructure. The current level of GPU deployment for AI purposes requires generating a lifetime revenue of $20 billion to repay the investment, corresponding to current capital expenditure. The issue with AI doesn’t end with building GPUs. We need to think about how this new technology will be utilized to improve the lives of end users, namely humans. The infrastructure that people use, love, and willingly pay for everyday should be a means to make people’s lives happier, easier and more sovereign. This is why AI Network is tokenizing AI, aiming to create an AI welfare system and a sustainable, ever-improving AI ecosystem.
AI Network is a decentralized AI development ecosystem based on blockchain technology. Within its ecosystem, resource providers can earn $AIN tokens for their GPUs, developers can gain access to GPUs for open source AI programs, and creators can transform their AI creations into AINFTs. The ultimate goal of AI Network is to bring AI to Web3, where everyone can easily develop and utilize artificial intelligence.
If you want to know more about us,
- Homepage: https://www.ainetwork.ai/
- AI Network DAO Discord: https://discord.com/invite/aindao/
- AI Network Telegram: https://t.me/ainetwork_en
- AI Network YouTube: https://www.youtube.com/@ainetwork_ai/
- AI Network Twitter: https://twitter.com/ainetwork_ai
