Web3 and AI: Enhancing Security, Efficiency, and User Experience

Paulina Lewandowska

12 Jan 2023
Web3 and AI: Enhancing Security, Efficiency, and User Experience

Introduction: Web3 and AI - A Match Made in the Digital World

Through machine learning and intelligent automation, artificial intelligence (AI) has the potential to revolutionize a variety of industries and applications. AI has the potential to improve the features and functionality of blockchain-based goods and services in the world of web3(third generation of the World Wide Web) providing users with even more value.

The term "Web3" describes the Internet's decentralized, peer-to-peer functionality made possible by blockchain technology. It enables the development of programs and services that run on a decentralized network of computers rather than being managed by a single organization. The addition of AI to web3 has the potential to greatly improve the functionality and capabilities of these goods and services while also enhancing user experience, security, and effectiveness.

This article will explore the usefulness of AI in web3, looking at the various applications of AI in blockchain-based goods and services. We will examine the advantages of AI integration in web3 as well as how AI will affect web3 and blockchain technology in the future. Come along as we explore the intriguing potential of AI in the web3 world.

AI 101: A Beginner's Guide to Artificial Intelligence in Web3/Blockchain

But what exactly is artificial intelligence, and how can it be applied to products for the web, blockchain, and cryptocurrency?

Artificial intelligence (AI) is the capacity of machines to carry out tasks that normally require human intelligence, such as problem-solving, learning, and judgment. This is accomplished with the aid of machine learning algorithms, which give computers the ability to examine data, spot trends, and then predict the future or make decisions based on those trends.

In order to improve the functionality and capabilities of web3/blockchain products, AI can be applied in a number of different ways. Several instances include:

  • AI can be used to enable chat bots or smart contracts that can comprehend and respond to human language, making them more user-friendly and effective. This is known as natural language processing.
  • Predictive analytics: AI can analyze market trends or asset pricing data to make future predictions that may be useful to traders or investors.
  • Artificial intelligence (AI) can be used to spot unusual patterns or behaviors that might be signs of fraud, enhancing the security of blockchain-based systems.
  • Supply chain management: AI can be used to improve efficiency and cut waste by optimizing the flow of resources and goods through a supply chain.

AI in Action: Real-World Examples of Artificial Intelligence in Web3/Blockchain Products

Let's examine some specific applications of AI in the market now that we have a better understanding of what AI is and how it can be applied to web3/blockchain products.

  1. AI-powered chatbots are a useful tool for customer service or support because they can comprehend and respond to human language. Natural language processing can also be used to improve the usability and comprehension of smart contracts, which are self-executing contracts with the terms of the agreement written in code.
  2. Another application of AI in web3/blockchain products is predictive analytics. AI can analyze market trends or asset pricing data to make future predictions, which can be useful for traders or investors. For instance, an AI-powered trading platform built on blockchain technology could analyze market data and suggest trades to users.
  3. Fraud detection in web3/blockchain products can also be done using AI. Data analysis using machine learning algorithms can spot unusual patterns or behaviors that could be signs of fraud, enhancing system security. An AI-based payment platform, for instance, could be used to identify and stop fraudulent transactions.
  4. Another application of AI in web3/blockchain products is predictive analytics. AI can analyze market trends or asset pricing data to make future predictions, which can be useful for traders or investors. For instance, an AI-powered trading platform built on blockchain technology could analyze market data and suggest trades to users.

Benefits of using AI in web3/blockchain products

So far, we've seen how AI can be applied to web3/blockchain products in a number of ways to improve their capabilities and functionality. But what advantages do these products' use of AI offer?

BenefitDescription
Improved user experienceNatural language processing and predictive analytics are made possible by AI, which makes web and blockchain products more approachable and simple to use.
Enhanced security and reliabilityAI can identify and correct errors in code or data, as well as detect and stop fraudulent activity, increasing the overall security and dependability of web3/blockchain products.
Increased efficiency and automationAI can automate or improve supply chain management, freeing up time and resources for more difficult tasks..

All things considered, the incorporation of AI in web3/blockchain products has the potential to significantly improve user experience, security, and efficiency. Future applications and advantages of AI technology are likely to be even more creative as the field develops.

Web3/Blockchain's Future with AI: A Look at the Potential of Artificial Intelligence in Decentralized Technologies

As we've seen, AI has the potential to significantly improve the functionality and capabilities of web3/blockchain products, adding value for users and advancing a number of technical aspects. But what part will AI play in the development of blockchain and web3 technology?

  • Integration of AI into web3/blockchain products and services could improve decentralized finance (DeFi) platforms, allowing for more transparent and efficient financial transactions. Decentralized applications (DApps) could benefit from improved performance and user experience, and blockchain networks could benefit from increased security and dependability.
  • New blockchain protocols and standards could be created and put into use by using AI to analyze data and find patterns that could be used to create more secure or efficient blockchain systems. It could also be used to evaluate new protocols and help roll out updates and improvements to current systems.
  • Resolving issues with web3 and blockchain technology: AI could be used to improve the efficiency of blockchain networks or to create new applications and use cases that promote technology adoption. Additionally, it could be utilized to increase the scalability of blockchain systems or to help create new governance or regulatory frameworks..

Conclusion: Is AI an integral part of the web3 ecosystem?

As a result, it is evident that AI has the potential to significantly improve the functionality and capabilities of web3/blockchain products, enhancing user experience and advancing various facets of technology. The use of AI in web3/blockchain products spans a wide range of areas, including supply chain optimization, fraud detection, and predictive analytics.

But does the web3 ecosystem include AI in its entirety? Although it is unquestionably a potent tool that can benefit web3/blockchain products and services greatly, it is important to understand that AI is only one part of the ecosystem. Decentralized networks, blockchain technology, and other innovations all contribute to the web3 ecosystem and its future development.

The use and integration of AI with other technologies will ultimately determine its place in the web3 ecosystem. As AI technologies develop, it's critical to think about the ethical, legal, and social ramifications of their use and to make sure they're applied responsibly and advantageously.

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Aethir Tokenomics – Case Study

Kajetan Olas

22 Nov 2024
Aethir Tokenomics – Case Study

Authors of the contents are not affiliated to the reviewed project in any way and none of the information presented should be taken as financial advice.

In this article we analyze tokenomics of Aethir - a project providing on-demand cloud compute resources for the AI, Gaming, and virtualized compute sectors.
Aethir aims to aggregate enterprise-grade GPUs from multiple providers into a DePIN (Decentralized Physical Infrastructure Network). Its competitive edge comes from utlizing the GPUs for very specific use-cases, such as low-latency rendering for online games.
Due to decentralized nature of its infrastructure Aethir can meet the demands of online-gaming in any region. This is especially important for some gamer-abundant regions in Asia with underdeveloped cloud infrastructure that causes high latency ("lags").
We will analyze Aethir's tokenomics, give our opinion on what was done well, and provide specific recommendations on how to improve it.

Evaluation Summary

Aethir Tokenomics Structure

The total supply of ATH tokens is capped at 42 billion ATH. This fixed cap provides a predictable supply environment, and the complete emissions schedule is listed here. As of November 2024 there are approximately 5.2 Billion ATH in circulation. In a year from now (November 2025), the circulating supply will almost triple, and will amount to approximately 15 Billion ATH. By November 2028, today's circulating supply will be diluted by around 86%.

From an investor standpoint the rational decision would be to stake their tokens and hope for rewards that will balance the inflation. Currently the estimated APR for 3-year staking is 195% and for 4-year staking APR is 261%. The rewards are paid out weekly. Furthermore, stakers can expect to get additional rewards from partnered AI projects.

Staking Incentives

Rewards are calculated based on the staking duration and staked amount. These factors are equally important and they linearly influence weekly rewards. This means that someone who stakes 100 ATH for 2 weeks will have the same weekly rewards as someone who stakes 200 ATH for 1 week. This mechanism greatly emphasizes long-term holding. That's because holding a token makes sense only if you go for long-term staking. E.g. a whale staking $200k with 1 week lockup. will have the same weekly rewards as person staking $1k with 4 year lockup. Furthermore the ATH staking rewards are fixed and divided among stakers. Therefore Increase of user base is likely to come with decrease in rewards.
We believe the main weak-point of Aethirs staking is the lack of equivalency between rewards paid out to the users and value generated for the protocol as a result of staking.

Token Distribution

The token distribution of $ATH is well designed and comes with long vesting time-frames. 18-month cliff and 36-moths subsequent linear vesting is applied to team's allocation. This is higher than industry standard and is a sign of long-term commitment.

  • Checkers and Compute Providers: 50%
  • Ecosystem: 15%
  • Team: 12.5%
  • Investors: 11.5%
  • Airdrop: 6%
  • Advisors: 5%

Aethir's airdrop is divided into 3 phases to ensure that only loyal users get rewarded. This mechanism is very-well thought and we rate it highly. It fosters high community engagement within the first months of the project and sets the ground for potentially giving more-control to the DAO.

Governance and Community-Led Development

Aethir’s governance model promotes community-led decision-making in a very practical way. Instead of rushing with creation of a DAO for PR and marketing purposes Aethir is trying to make it the right way. They support projects building on their infrastructure and regularly share updates with their community in the most professional manner.

We believe Aethir would benefit from implementing reputation boosted voting. An example of such system is described here. The core assumption is to abandon the simplistic: 1 token = 1 vote and go towards: Votes = tokens * reputation_based_multiplication_factor.

In the attached example, reputation_based_multiplication_factor rises exponentially with the number of standard deviations above norm, with regard to user's rating. For compute compute providers at Aethir, user's rating could be replaced by provider's uptime.

Perspectives for the future

While it's important to analyze aspects such as supply-side tokenomics, or governance, we must keep in mind that 95% of project's success depends on demand-side. In this regard the outlook for Aethir may be very bright. The project declares $36M annual reccuring revenue. Revenue like this is very rare in the web3 space. Many projects are not able to generate any revenue after succesfull ICO event, due to lack fo product-market-fit.

If you're looking to create a robust tokenomics model and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

Quadratic Voting in Web3

Kajetan Olas

04 Dec 2024
Quadratic Voting in Web3

Decentralized systems are reshaping how we interact, conduct transactions, and govern online communities. As Web3 continues to advance, the necessity for effective and fair voting mechanisms becomes apparent. Traditional voting systems, such as the one-token-one-vote model, often fall short in capturing the intensity of individual preferences, which can result in centralization. Quadratic Voting (QV) addresses this challenge by enabling individuals to express not only their choices but also the strength of their preferences.

In QV, voters are allocated a budget of credits that they can spend to cast votes on various issues. The cost of casting multiple votes on a single issue increases quadratically, meaning that each additional vote costs more than the last. This system allows for a more precise expression of preferences, as individuals can invest more heavily in issues they care deeply about while conserving credits on matters of lesser importance.

Understanding Quadratic Voting

Quadratic Voting (QV) is a voting system designed to capture not only the choices of individuals but also the strength of their preferences. In most DAO voting mechanisms, each person typically has one vote per token, which limits the ability to express how strongly they feel about a particular matter. Furthermore, QV limits the power of whales and founding team who typically have large token allocations. These problems are adressed by making the cost of each additional vote increase quadratically.

In QV, each voter is given a budget of credits or tokens that they can spend to cast votes on various issues. The key principle is that the cost to cast n votes on a single issue is proportional to the square of n. This quadratic cost function ensures that while voters can express stronger preferences, doing so requires a disproportionately higher expenditure of their voting credits. This mechanism discourages voters from concentrating all their influence on a single issue unless they feel very strongly about it. In the context of DAOs, it means that large holders will have a hard-time pushing through with a proposal if they'll try to do it on their own.

Practical Example

Consider a voter who has been allocated 25 voting credits to spend on several proposals. The voter has varying degrees of interest in three proposals: Proposal A, Proposal B, and Proposal C.

  • Proposal A: High interest.
  • Proposal B: Moderate interest.
  • Proposal C: Low interest.

The voter might allocate their credits as follows:

Proposal A:

  • Votes cast: 3
  • Cost: 9 delegated tokens

Proposal B:

  • Votes cast: 2
  • Cost: 4 delegated tokens

Proposal C:

  • Votes cast: 1
  • Cost: 1 delegated token

Total delegated tokens: 14
Remaining tokens: 11

With the remaining tokens, the voter can choose to allocate additional votes to the proposals based on their preferences or save for future proposals. If they feel particularly strong about Proposal A, they might decide to cast one more vote:

Additional vote on Proposal A:

  • New total votes: 4
  • New cost: 16 delegated tokens
  • Additional cost: 16−9 = 7 delegated tokens

Updated total delegated tokens: 14+7 = 21

Updated remaining tokens: 25−21 = 425 - 21 = 4

This additional vote on Proposal A costs 7 credits, significantly more than the previous vote, illustrating how the quadratic cost discourages excessive influence on a single issue without strong conviction.

Benefits of Implementing Quadratic Voting

Key Characteristics of the Quadratic Cost Function

  • Marginal Cost Increases Linearly: The marginal cost of each additional vote increases linearly. The cost difference between casting n and n−1 votes is 2n−1.
  • Total Cost Increases Quadratically: The total cost to cast multiple votes rises steeply, discouraging voters from concentrating too many votes on a single issue without significant reason.
  • Promotes Egalitarian Voting: Small voters are encouraged to participate, because relatively they have a much higher impact.

Advantages Over Traditional Voting Systems

Quadratic Voting offers several benefits compared to traditional one-person-one-vote systems:

  • Captures Preference Intensity: By allowing voters to express how strongly they feel about an issue, QV leads to outcomes that better reflect the collective welfare.
  • Reduces Majority Domination: The quadratic cost makes it costly for majority groups to overpower minority interests on every issue.
  • Encourages Honest Voting: Voters are incentivized to allocate votes in proportion to their true preferences, reducing manipulation.

By understanding the foundation of Quadratic Voting, stakeholders in Web3 communities can appreciate how this system supports more representative governance.

Conclusion

Quadratic voting is a novel voting system that may be used within DAOs to foster decentralization. The key idea is to make the cost of voting on a certain issue increase quadratically. The leading player that makes use of this mechanism is Optimism. If you're pondering about the design of your DAO, we highly recommend taking a look at their research on quadratic funding.

If you're looking to create a robust governance model and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure that your DAO will stand out as a beacon of innovation and resilience in the long term.