Game On: The Radical Transformation of Gaming through AI

Paulina Lewandowska

02 Mar 2023
Game On: The Radical Transformation of Gaming through AI

Introduction

AI technology is revolutionizing many areas including the gaming business. That's why AI-based games are quickly becoming something normal and common. The gaming experience is being improved through significant AI game performance, which also gives gamers the chance to learn a lot from AI. The market expansion of AI presents chances for companies and startups to innovate and take a piece of the expanding market, making this a crucial and thrilling time for the sector. So if you are a fan of games or have own gaming business then be sure to read this article and discover the ways that AI is changing the game business and the various opportunities it offers for you.

AI-based games are gradually becoming the norm

In the gaming industry, AI-based games are becoming more prevalent and widespread. Games that can learn from and adapt to the activities of players are becoming more and more common because to advances in machine learning and artificial intelligence (AI).

For instance, several well-known games like Fortnite, League of Legends, and Dota 2 match players with opponents of comparable skill levels using AI-powered algorithms, increasing the difficulty and fun of the game. Realistic non-player characters (NPCs) that may interact with players and provide a more engaging game experience are also being developed using AI.

Furthermore, the popularity of AI-based games is not just increasing on PC and console platforms. Popular games like Clash Royale and Mobile Legends use AI-powered algorithms to enhance gameplay and matching, and other mobile games are starting to adopt AI technologies as well.

Human players can learn from AI

AI-based games have the advantage that human players can gain knowledge from them. AI-powered opponents can present a degree of difficulty and complexity that can aid players in honing their abilities and discovering new tactics.

For instance, AI opponents in strategy games might assess a player's gameplay tendencies and modify their own plans to counter them, increasing the difficulty of the game and assisting players in developing their strategic thinking. Artificial intelligence (AI) players in sports games can provide a realistic level of difficulty that can aid players in honing their abilities, including hand-eye coordination and response time.

By examining each player's playing style and tailoring the games to suit their preferences, AI may also enable each player have a more customized gaming experience. Players may gain new skills and methods that are suited to their own playing styles as a result, which may result in a more pleasurable and interesting gaming experience.

Moreover, AI can give players feedback on their gaming, assisting them in identifying areas where they might improve. An AI-powered coach in a video game may, for instance, evaluate a player's performance and make recommendations for how to enhance their approach or strategy.

The value of the gaming experience will rise as AI games perform better

Another advantage of AI-driven games is that they might provide gamers with a better overall gaming experience. By imitating real-world circumstances and interactions, AI can contribute to the creation of more realistic and captivating gameplay. AI can be utilized, for instance, to develop more intelligent and realistic non-player characters (NPCs) that engage with players, giving the game world a more dynamic and alive feel.

The player experience can be improved by the level of personalization and customization provided by AI-powered games. In order to provide a more personalized and entertaining experience, AI algorithms can assess a player's gameplay patterns and preferences and modify the game mechanics and difficulty level accordingly.

The commercial expansion of AI in the video game sector is opening up new avenues for businesses and startups to innovate and build new goods and services. The need for AI-powered games and technology is projected to rise as the gaming industry develops and becomes more sophisticated, providing tremendous growth potential for businesses in this sector.

The market growth of AI in gaming industry is an opportunity for companies and startups

The creation of AI-powered games and gaming technology is one of the main business opportunities for established businesses and new ventures. With AI becomes more sophisticated and available, businesses can produce more realistic and captivating gaming experiences, including complex matchmaking algorithms and smart NPCs. They may be able to increase their user base and acquire a competitive edge in the market as a result.

Businesses and startups can profit from the rising demand for AI-powered gaming hardware and peripherals in addition to game production. For instance, AI-powered devices and accessories can improve the gaming experience and give gamers new ways to engage with the virtual world. For businesses and startups engaged in this industry, this might open up new revenue streams.

Moreover, businesses and startups can provide game publishers and developers with AI-based information and insights. They can assist in identifying trends and patterns that can be leveraged to enhance the user experience and improve game design by evaluating user data and behavior. This might offer a useful service to game publishers and developers and open up lucrative revenue opportunities for firms in this industry.

Conclusion

In conclusion, the gaming sector is at the cutting edge of AI development, with sophisticated and pervasive AI-based games. Since AI games are performing better, the value of the gaming experience is rising. Human gamers can learn from AI. The market growth of AI in the gaming sector is opening up new potential for businesses and startups to innovate and develop new products and services as AI technology continues to advance. There are various opportunities for businesses to profit from the rising demand for AI-powered gaming technologies, from game production to gaming hardware and peripherals. Undoubtedly, the game industry's future is exciting, and in the years to come, we can anticipate even more developments in AI technology.

AI improves not only the gaming industry, but also everyday work! Discover the best AI tools that will improve your work.

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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.