Advanced DeFi Strategies and Make Money for AI Integrated Projects 2026 with Low Risk_1

Ian Fleming
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Advanced DeFi Strategies and Make Money for AI Integrated Projects 2026 with Low Risk

In the ever-evolving world of decentralized finance (DeFi), the fusion of artificial intelligence (AI) with blockchain technology presents unprecedented opportunities for innovation and profitability. By 2026, the synergy between DeFi and AI-integrated projects promises to redefine financial landscapes, offering both potential and challenges. This article delves into advanced DeFi strategies designed to maximize profits for AI projects while maintaining a low-risk profile.

Understanding DeFi and AI Integration

Decentralized finance, or DeFi, is a rapidly growing sector that aims to recreate traditional financial systems using blockchain technology. From peer-to-peer lending to decentralized exchanges, DeFi platforms offer a range of services that operate without intermediaries. On the other hand, AI brings the power of machine learning, predictive analytics, and automation to financial markets. When these two technologies converge, they can create systems that are not only more efficient but also more profitable.

AI integrated projects in DeFi are designed to optimize various processes like risk management, fraud detection, algorithmic trading, and smart contract execution. The result is a more dynamic, responsive, and profitable financial ecosystem.

Core Principles of Low-Risk Investment

Low-risk investment in DeFi hinges on a few core principles:

Diversification: Spread investments across multiple projects to mitigate the risk associated with any single investment. Due Diligence: Conduct thorough research and analysis before committing to any DeFi project. Risk Assessment: Identify potential risks and develop strategies to manage or avoid them. Use of Insurance: Consider DeFi insurance protocols to protect against potential losses. Adaptive Strategies: Be prepared to adjust strategies based on market conditions and project developments.

Advanced DeFi Strategies for AI Projects

Yield Farming and Liquidity Pools:

Yield farming involves providing liquidity to DeFi pools in exchange for tokens. By leveraging AI algorithms, projects can optimize liquidity provision, ensuring the most profitable yield farming strategies. Here’s how to do it:

Identify High-Potential Pools: Use AI to scan blockchain networks for pools with high returns and low risk. Automate Liquidity Management: Implement smart contracts to automate the management of liquidity, ensuring optimal token allocation and risk mitigation. Monitor Market Conditions: Continuously monitor market conditions to reallocate funds to the most profitable pools in real time. Staking and Governance:

Staking involves locking up tokens to support network operations in return for rewards. AI can enhance this process by identifying the best staking opportunities:

Predictive Staking: Use AI to predict future rewards based on network growth and token value. Automated Staking: Employ smart contracts to automate staking processes, ensuring maximum returns while minimizing risk. Governance Participation: AI tools can help in identifying governance proposals that align with long-term profitability and risk management. Decentralized Autonomous Organizations (DAOs):

DAOs are organizations governed by smart contracts. AI can optimize DAO operations by:

Strategic Decision-Making: Use AI to analyze and predict the best decisions for DAO governance. Efficient Resource Allocation: AI can optimize the allocation of resources within the DAO to ensure the best outcomes. Risk Management: AI tools can identify potential risks and suggest mitigation strategies. Decentralized Insurance:

DeFi insurance protocols provide coverage against smart contract failures and other risks. AI can enhance the efficiency and effectiveness of these protocols:

Risk Assessment: AI can assess risks more accurately and determine appropriate insurance coverage. Premium Optimization: AI tools can optimize insurance premiums to ensure cost-effectiveness. Claims Processing: Use AI to streamline the claims process, ensuring quick and fair compensation.

Real-World Examples and Case Studies

To understand the practical application of these strategies, let’s look at some real-world examples:

Compound Finance with AI Integration:

Compound Finance is a leading DeFi protocol that allows users to lend and borrow cryptocurrencies. By integrating AI, Compound can optimize interest rates and liquidity pools, ensuring that users get the best possible returns while minimizing risk.

Aave with AI-Driven Risk Management:

Aave is another DeFi lending platform that has integrated AI to enhance its risk management capabilities. AI algorithms analyze market conditions and user behavior to predict potential risks, allowing Aave to adjust lending terms and manage risk more effectively.

Uniswap and AI Trading Bots:

Uniswap is a decentralized exchange that allows users to trade tokens directly from their wallets. AI trading bots can enhance Uniswap by executing trades at optimal times, based on predictive analytics, ensuring maximum profitability while minimizing risk.

Future Trends and Opportunities

As we look to 2026, several trends are likely to shape the DeFi and AI landscape:

Enhanced Regulatory Compliance: With increasing regulatory scrutiny, AI will play a crucial role in ensuring compliance with financial regulations. Interoperability: The development of interoperable DeFi platforms will enable smoother integration of AI, leading to more efficient and profitable operations. Decentralized Identity Solutions: AI-driven decentralized identity solutions will enhance security and privacy, further boosting trust and adoption in DeFi.

Conclusion

The intersection of DeFi and AI presents a unique opportunity for projects to achieve profitability with minimal risk. By adopting advanced strategies such as yield farming, staking, DAO governance, and decentralized insurance, AI-integrated DeFi projects can navigate the complex financial landscape of 2026. With the right approach, these projects can not only thrive but also set new standards for the future of finance.

Stay tuned for part two, where we’ll explore more advanced strategies and delve deeper into case studies that illustrate the potential of low-risk investments in the DeFi and AI ecosystem.

Advanced DeFi Strategies and Make Money for AI Integrated Projects 2026 with Low Risk

Continuing from our exploration of advanced DeFi strategies, this part delves deeper into additional methodologies and real-world applications that can help AI-integrated projects achieve profitability while minimizing risk. By leveraging these strategies, projects can navigate the complexities of the DeFi landscape and position themselves for long-term success.

Advanced DeFi Strategies Continued

Automated Market Makers (AMMs):

Automated Market Makers, such as Uniswap and SushiSwap, are decentralized exchanges that use smart contracts to facilitate trading. AI can optimize AMM operations in the following ways:

Order Book Optimization: AI algorithms can analyze trading patterns and optimize order books to ensure the best possible prices. Liquidity Provision: AI tools can identify optimal times to provide liquidity, maximizing returns while minimizing slippage. Arbitrage Opportunities: AI can detect arbitrage opportunities across different exchanges and execute trades to capture these opportunities. Decentralized Prediction Markets:

Decentralized prediction markets, like Augur and Chainlink VRF, allow users to bet on the outcomes of various events. AI can enhance these platforms by:

Predictive Analytics: AI can analyze historical data and current market trends to predict outcomes with higher accuracy. Smart Contract Automation: AI-driven smart contracts can automate the settlement of bets based on predicted outcomes. Risk Management: AI tools can assess and manage risks associated with prediction markets, ensuring fair and secure operations. Decentralized Storage:

Decentralized storage solutions, such as IPFS and Filecoin, offer a decentralized alternative to traditional cloud storage. AI can optimize these platforms by:

Data Retrieval Optimization: AI can optimize data retrieval processes, ensuring faster and more efficient access to stored data. Storage Pricing: AI algorithms can dynamically adjust storage pricing based on demand and supply, maximizing revenue while maintaining fair pricing. Data Security: AI can enhance data security through advanced encryption and anomaly detection algorithms.

Real-World Examples and Case Studies Continued

Let’s continue exploring real-world examples to understand the practical application of these advanced strategies:

Synthetix and AI-Driven Synthetic Assets:

Synthetix offers synthetic assets that represent various financial instruments, commodities, and even real-world assets. By integrating AI, Synthetix can enhance its synthetic asset creation process:

Predictive Modeling: AI can predict the future value of underlying assets, ensuring the accuracy of synthetic assets. Dynamic Issuance: AI tools can dynamically issue synthetic assets based on market demand and supply, optimizing the process. Risk Assessment: AI can continuously assess the risks associated with synthetic assets, ensuring the stability and reliability of the platform. MakerDAO and AI Governance:

MakerDAO is a decentralized stablecoin system that uses the MKR token for governance. AI can enhance MakerDAO’s governance process by:

Proposal Analysis: AI can analyze governance proposals and predict their potential impact on the system, helping stakeholders make informed decisions. Optimal Voting: AI tools can optimize voting strategies to ensure the most favorable outcomes for the system. Risk Mitigation:当然,让我们继续深入探讨如何利用先进的DeFi策略和AI技术来实现2026年低风险投资的目标。

4. DeFi Lending Platforms with AI Enhancement

DeFi lending platforms like Aave, Compound, and PancakeSwap have seen massive adoption due to their ability to lend and borrow cryptocurrencies without intermediaries. AI can further enhance these platforms by:

Dynamic Interest Rates: AI can analyze market conditions and borrower behavior to dynamically adjust interest rates, maximizing returns while managing risk. Credit Scoring: AI-driven credit scoring models can evaluate borrowers’ creditworthiness more accurately than traditional methods, reducing default rates and increasing trust in the platform. Fraud Detection: AI can detect fraudulent activities and suspicious transactions in real time, ensuring the security of the platform and protecting users’ funds.

5. Decentralized Autonomous Organizations (DAOs) with AI Governance

DAOs represent a new model of governance where decisions are made through smart contracts and community voting. AI can optimize DAO operations by:

Smart Voting Systems: AI can analyze voting patterns and predict the most likely outcomes of proposals, enabling more informed decision-making. Resource Allocation: AI tools can optimize the allocation of funds and resources within the DAO to ensure the most effective use of resources. Risk Assessment: AI can continuously assess the risks associated with DAO operations and suggest mitigation strategies to minimize potential losses.

6. Decentralized Oracles and AI Integration

Oracles are crucial for connecting real-world data to smart contracts. AI can enhance decentralized oracles by:

Data Aggregation: AI can aggregate and verify data from multiple sources to provide accurate and reliable information to smart contracts. Predictive Analytics: AI can use predictive analytics to anticipate market trends and provide forward-looking data to smart contracts. Fraud Prevention: AI can detect anomalies and fraudulent data submissions, ensuring the integrity of the oracle network.

Real-World Examples and Case Studies Continued

Let’s delve into more real-world examples to understand the practical applications of these advanced strategies:

Chainlink and Decentralized Oracles:

Chainlink is a leading decentralized oracle network that provides real-world data to smart contracts. By integrating AI, Chainlink can enhance its oracle services in the following ways:

Data Accuracy: AI can analyze and verify data from multiple sources, ensuring the accuracy and reliability of the information provided to smart contracts. Predictive Analytics: AI tools can predict market trends and provide forward-looking data, enabling more informed decision-making by smart contracts. Fraud Detection: AI can detect fraudulent data submissions and ensure the integrity of the oracle network. MakerDAO and AI-Driven Stability Pools:

MakerDAO is a decentralized stablecoin system that uses the MKR token for governance. AI can enhance MakerDAO’s stability pool operations by:

Dynamic Collateral Management: AI can dynamically adjust collateral ratios based on market conditions, ensuring the stability of the stablecoin. Predictive Modeling: AI can predict potential risks to the stability pool and suggest mitigation strategies to maintain the value of the stablecoin. Optimal Rebalancing: AI tools can optimize the rebalancing of the stability pool to ensure the most effective use of resources.

Future Trends and Opportunities

As we look ahead to 2026, several trends are likely to shape the DeFi and AI landscape:

Enhanced Privacy and Security: With increasing concerns about privacy and security, AI will play a crucial role in developing advanced privacy-preserving technologies and secure protocols. Interoperability: The development of interoperable DeFi platforms will enable smoother integration of AI, leading to more efficient and profitable operations. Decentralized Autonomous Corporations (DACs): The emergence of DACs will introduce a new level of automation and efficiency in business operations, leveraging AI for decision-making and resource management.

Conclusion

The intersection of DeFi and AI presents a unique opportunity for projects to achieve profitability with minimal risk. By adopting advanced strategies such as automated market making, decentralized prediction markets, decentralized storage, DeFi lending with AI enhancement, DAO governance with AI, and AI-driven decentralized oracles, AI-integrated DeFi projects can navigate the complex financial landscape of 2026. With the right approach, these projects can not only thrive but also set new standards for the future of finance.

Stay tuned for further insights and advanced strategies in the DeFi and AI ecosystem.

Sure, I can help you with that! Here's a soft article on "Blockchain Monetization Ideas" that's divided into two parts as you requested.

The digital landscape is undergoing a seismic shift, and at its epicenter lies blockchain technology. Once primarily associated with cryptocurrencies like Bitcoin, blockchain has evolved into a robust and versatile infrastructure with the potential to revolutionize countless industries. This decentralized, transparent, and secure ledger system is no longer just a fascinating technological concept; it's a burgeoning ecosystem ripe for monetization. Businesses and individuals alike are waking up to the reality that blockchain isn't just about managing transactions; it's about creating entirely new value propositions and, consequently, entirely new revenue streams. The question is no longer if blockchain can be monetized, but how effectively and innovatively one can tap into this digital goldmine.

At its core, blockchain's power lies in its ability to disintermediate and empower. It cuts out the middlemen, reduces costs, and offers unprecedented control to participants. This fundamental characteristic opens up a wealth of opportunities for generating revenue, often by reimagining existing business models or by creating entirely novel ones. One of the most prominent and rapidly expanding avenues for blockchain monetization is within the realm of Decentralized Finance (DeFi). DeFi aims to recreate traditional financial services – lending, borrowing, trading, insurance, and asset management – on blockchain networks, eliminating the need for centralized institutions like banks.

For developers and entrepreneurs, building DeFi applications presents a significant monetization opportunity. Platforms offering lending and borrowing services can earn revenue through transaction fees or by taking a small percentage of interest earned. Decentralized exchanges (DEXs) generate income from trading fees. Yield farming protocols, where users stake their crypto assets to earn rewards, can charge a management fee or a percentage of the yield. The beauty of DeFi monetization is its scalability and global reach. Unlike traditional finance, which is often geographically restricted and laden with regulatory hurdles, DeFi applications can serve a worldwide audience with minimal friction. The key to success in this space lies in building robust, secure, and user-friendly platforms that can attract and retain capital. Innovation in DeFi is relentless, with new protocols emerging constantly, offering novel ways to manage and grow digital assets.

Beyond the direct financial applications, the underlying technology of blockchain itself can be a source of revenue. Blockchain-as-a-Service (BaaS) providers are emerging, offering businesses access to blockchain infrastructure without the need for them to build and maintain their own complex networks. Companies can subscribe to BaaS platforms to develop and deploy their own decentralized applications (dApps), manage smart contracts, and conduct transactions securely. This model is akin to cloud computing services like AWS or Azure, but specifically tailored for blockchain needs. BaaS providers monetize by charging subscription fees, usage-based fees for transaction processing, or offering premium support and development services. This is a crucial segment for enterprises looking to experiment with or integrate blockchain into their operations without the prohibitive upfront investment in specialized talent and infrastructure.

Another revolutionary area of blockchain monetization is through Non-Fungible Tokens (NFTs). NFTs are unique digital assets that represent ownership of a specific item, whether it's digital art, music, collectibles, virtual real estate, or even unique in-game items. The monetization potential here is vast and multifaceted. Creators can mint NFTs of their digital works and sell them directly to collectors, retaining a percentage of the resale value through smart contracts – a perpetual royalty stream that was previously unimaginable. Marketplaces for NFTs, much like eBay or Etsy, generate revenue through transaction fees, listing fees, or premium features for sellers.

The application of NFTs extends far beyond art and collectibles. Imagine ticketing for events, where NFTs can prevent counterfeiting and allow organizers to earn royalties on secondary market sales. In the gaming industry, NFTs can represent ownership of in-game assets, creating player-driven economies where valuable items can be bought, sold, and traded, with game developers taking a cut of these transactions. Furthermore, NFTs can be used to represent ownership of physical assets, such as real estate or luxury goods, bridging the gap between the digital and physical worlds and creating new avenues for fractional ownership and investment. The speculative nature of NFTs has certainly captured headlines, but their underlying utility in proving authenticity and ownership is what will drive sustainable long-term monetization.

The concept of tokenization is also a cornerstone of blockchain monetization. Tokenization is the process of converting rights to an asset into a digital token on a blockchain. This can apply to almost anything of value: real estate, company shares, intellectual property, commodities, or even future revenue streams. By tokenizing assets, they become more liquid, divisible, and accessible to a wider range of investors. For businesses, tokenization can unlock capital that was previously tied up in illiquid assets. They can issue security tokens representing ownership stakes, which can then be traded on specialized exchanges. Monetization here comes from the fees associated with token issuance platforms, the trading fees on security token exchanges, and the potential for increased asset liquidity leading to greater overall market value. This opens up investment opportunities to a broader demographic, democratizing access to previously exclusive asset classes.

Consider the implications for venture capital and private equity. Instead of traditional lengthy and complex fundraising rounds, companies could tokenize their equity, allowing for faster, more global fundraising and providing early investors with liquidity options far sooner. This new paradigm requires a robust regulatory framework, but the potential for innovation and monetization is undeniable. The ability to represent and trade fractional ownership of high-value assets on a blockchain fundamentally alters investment dynamics and creates new monetization models around asset management and trading.

Moreover, the underlying blockchain infrastructure itself can be monetized. Staking is a prime example. In Proof-of-Stake (PoS) blockchains, users can "stake" their crypto holdings to validate transactions and secure the network. In return, they earn rewards in the form of more cryptocurrency. This incentivizes participation and network security while providing a passive income stream for stakers. For blockchain networks that rely on PoS, the protocol itself is designed to reward participants, thereby fostering a sustainable economic model. Businesses or individuals with significant crypto holdings can leverage staking as a direct revenue-generating activity.

The development of enterprise-grade blockchain solutions also presents significant monetization opportunities. Many companies are exploring private or permissioned blockchains to improve supply chain management, enhance data security, and streamline internal processes. Developing these customized blockchain solutions for businesses requires specialized expertise, and firms offering these services can charge substantial fees for development, implementation, and ongoing maintenance. This is a B2B play, focusing on efficiency gains and cost savings for large organizations, with the monetization model being project-based fees, annual software licenses, or ongoing service contracts. The value proposition is clear: improved operational efficiency, enhanced security, and greater transparency, all powered by blockchain.

Finally, the burgeoning ecosystem around blockchain, often referred to as Web3, is creating entirely new paradigms for content creation and community engagement, leading to novel monetization strategies. Decentralized autonomous organizations (DAOs), for instance, offer a new way to govern and fund projects. Members can contribute value and earn tokens, which can then be traded or used to access services. Creators can leverage blockchain to build direct relationships with their audience, bypassing traditional intermediaries and capturing a larger share of the revenue generated from their work. This could involve selling exclusive content as NFTs, offering tiered access to communities via token ownership, or even crowdfunding projects through token sales. The monetization here is often tied to the value created and shared within a community, fostering a more equitable distribution of rewards. The digital revolution is here, and blockchain is its engine. The ability to create, own, and transact digital value in a decentralized manner is unlocking unprecedented opportunities for monetization, reshaping economies, and empowering individuals and businesses alike to tap into the vast potential of the digital frontier.

Continuing our exploration into the dynamic world of blockchain monetization, we delve deeper into strategies that are not only innovative but are also poised to redefine how value is created and captured in the digital age. The foundational principles of blockchain – decentralization, transparency, and immutability – serve as the bedrock for these new economic models, empowering creators, users, and businesses in ways previously unimaginable.

One of the most significant advancements is in the creation and monetization of digital economies within virtual worlds and the metaverse. As these immersive digital spaces become more sophisticated and widely adopted, they are developing their own robust economies. Blockchain technology is the engine powering these economies, enabling true ownership of in-game assets, virtual land, and digital identities through NFTs. For developers and platform creators, monetization can come from selling virtual land, offering premium digital assets, or charging transaction fees on user-generated content and marketplaces within the metaverse. Players, in turn, can monetize their time and creativity by earning cryptocurrency through gameplay, selling unique digital items they create or discover, or even renting out their virtual land. This creates a sustainable loop where value is generated by users and shared, with the platform taking a small but consistent cut. The potential here is colossal, as the metaverse is envisioned as a persistent, interconnected digital reality where a significant portion of human interaction and commerce could eventually take place. Monetizing these nascent economies requires understanding player behavior, fostering vibrant communities, and ensuring the secure and seamless transfer of digital assets.

The realm of data monetization is another area ripe for blockchain disruption. Traditionally, user data has been collected and monetized by large corporations with little to no benefit flowing back to the individuals whose data it is. Blockchain offers a paradigm shift, enabling individuals to securely store, control, and even sell access to their own data. Decentralized data marketplaces can emerge where users can grant permission for their data to be used by researchers, advertisers, or AI developers in exchange for cryptocurrency or tokens. Blockchain ensures that these transactions are transparent, auditable, and that individuals are fairly compensated for the value their data provides. For businesses, this offers access to higher-quality, anonymized data with explicit consent, reducing regulatory risks and building greater consumer trust. Monetization for the platform providers comes from facilitating these secure data exchanges and ensuring privacy. This approach aligns economic incentives with user privacy, creating a more ethical and sustainable data economy.

Another powerful monetization avenue lies in supply chain management and provenance tracking. Businesses can leverage blockchain to create an immutable record of a product's journey from origin to consumer. This enhances transparency, builds trust, and helps combat issues like counterfeiting and fraud. Monetization opportunities arise from offering these blockchain-based supply chain solutions as a service. Companies can charge subscription fees for access to the platform, per-transaction fees for tracking goods, or offer premium analytics and reporting based on the data collected. For luxury goods, pharmaceuticals, or food products, where authenticity and origin are paramount, a blockchain-verified supply chain can command a premium price, indirectly boosting revenue for the businesses that implement it. The value proposition is about risk reduction, efficiency gains, and brand integrity.

The concept of decentralized storage networks is also gaining traction. Instead of relying on centralized cloud storage providers like Amazon S3 or Google Cloud, users can utilize blockchain-based networks where their data is distributed and encrypted across a network of individual nodes. Providers of this storage space are compensated in cryptocurrency for their contribution. Companies can monetize by offering these decentralized storage solutions, charging users for the storage space they utilize, similar to traditional cloud services but with enhanced security and censorship resistance. This model appeals to individuals and organizations concerned about data privacy and the control of centralized entities over their digital assets.

Furthermore, blockchain-based loyalty programs and rewards systems offer a more engaging and valuable alternative to traditional points-based systems. By issuing tokens that represent loyalty points or rewards, businesses can create more flexible and interoperable ecosystems. These tokens can be traded, redeemed for a wider range of goods and services, or even hold intrinsic value, making them more attractive to consumers. Businesses monetize by incentivizing customer engagement and retention. The value of these tokens can also appreciate, creating an asset for the customer and a vested interest in the brand. For businesses, this can lead to increased customer lifetime value and reduced marketing costs. The smart contract capabilities of blockchain allow for automated and transparent reward distribution, eliminating administrative overhead.

Decentralized Identity (DID) solutions built on blockchain present another frontier for monetization. In the current digital age, managing multiple online identities and personal data is cumbersome and insecure. Blockchain-based DIDs allow individuals to have a self-sovereign digital identity that they control. This identity can be selectively shared with services and platforms, enhancing privacy and security. Companies can monetize by offering DID verification services, enabling businesses to securely verify user identities without storing sensitive personal data themselves. This reduces compliance burdens and the risk of data breaches. Developers can also build applications that leverage DID, charging for access to their services where identity verification is a prerequisite.

The potential for blockchain-powered intellectual property (IP) management and licensing is also enormous. Artists, musicians, writers, and inventors can register their creations on a blockchain, creating an immutable record of ownership and timestamp. Smart contracts can then be used to automate the licensing and royalty distribution process, ensuring that creators are fairly compensated whenever their work is used. Monetization for these platforms comes from fees associated with registering IP, facilitating licensing agreements, and processing royalty payments. This empowers creators by providing them with greater control and transparency over their intellectual assets, thereby unlocking new revenue streams.

Lastly, the ongoing development and maintenance of blockchain infrastructure itself represents a significant monetization opportunity. Building and scaling secure, efficient, and user-friendly blockchain networks requires substantial investment in research, development, and engineering talent. Companies that contribute to the core development of leading blockchain protocols, or that build essential infrastructure like oracles (which connect smart contracts to real-world data), or developer tools, can monetize through grants, token emissions, venture capital funding, or by offering specialized consulting services. The more robust and accessible the underlying blockchain ecosystem becomes, the greater the potential for all other monetization strategies to flourish.

In conclusion, the era of blockchain monetization is not a future prospect; it is a present reality. From revolutionizing finance with DeFi and powering vibrant digital economies in the metaverse, to securing data, optimizing supply chains, and empowering creators, the applications are as diverse as they are transformative. As the technology matures and its adoption accelerates, we can expect even more ingenious ways to unlock value and drive innovation. The key to success lies in understanding the core principles of blockchain and creatively applying them to solve real-world problems, thereby building sustainable and profitable ventures in this exciting new digital frontier. The journey of blockchain monetization is just beginning, and the opportunities are as limitless as the potential of the decentralized web itself.

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