jakiro
Author: DeMan
In the world of Web3 games, we have witnessed a challenging era.From 2018 to 2023, a total of 2,817 Web3 games were released, but sadly, 2,127 of them (75.5%) failed, which highlights the difficulties of the industry.
Although Web3 games have never really set off a frenzy since 2018, whenever cryptocurrencies rush into a new chapter, Web3 games are often placed on high expectations. Combined with the current bull market expectations, we are likely to see many games reaching crazyValuation.
Only look at 2024 and 2025. With the centralized explosion of many AI models such as DALL-E, Stable Diffusion, Midjourney, ChatGPT, etc., we believe that “AI penetration into Web3” will become its key driving force, based on AI technology breakthroughs, 7In 2018, DeGame officially announced the launch of the “AI Generate Game” function, hoping to strengthen the Web3 game industry through a series of interoperability, composability, programmability and tools, as well as modular game/video/voice generation models.Recovery brings new attempts.
Nearly 3 billion Web2 game players and nearly 600 million Web3 users around the world have given Web3 games a strong narrative foundation.But at present, funds and projects are more concentrated at the infrastructure level, and there is a lack of new growth points in large-scale user adoption and transformation narratives.
The focus of promoting the development of the game industry is actually on technological changes. The application of AI technology in game development is becoming increasingly mature. Using AI generation models to solve typical problems faced by Web3 games, thereby achieving breakthroughs and growth in the short term may be the best solution..
01Icebreaker narrative “ice period”
Playability is the main drawback that previously restricted Web3 games from getting large-scale players.The monotonous gameplay and rough graphics often allow players to flash back more than ten years ago when participating in Web3 games.But for ordinary players, there is always only one hard standard for evaluating the advantages and disadvantages of a game, which is whether it is fun or not. Web3 games that pay too much attention to “Fi” can only attract gold-fighting people, but cannot complete the large-scale conversion of Web2 users.
But from a realistic perspective, as an extremely money-burning and time-consuming industry, the explosion of the game sector requires the joint promotion of multiple factors such as capital, time and technology.And as time moves into 2024, AI seems to be able to gather these elements.The improvement of modular AI generation tools has given stronger support for Web3 games to improve in 3A-level production and high-quality directions.
In traditional games, NPCs (non-player characters) have very limited artificial intelligence and are often only allowed to operate in fixed situations.With the help of AI technology, NPCs can simulate human behavior more realistically and have a more intelligent operation method.For example, the AI NPC real-time dialogue decryption in “Save Me! Labor Law Protection God” increases the interactiveness and immersion of the game.
In addition, AI can also be used to generate environments, character images, numerical balance, etc., further enriching the diversity and playability of the game, making the interaction in the game more convenient and natural.Traditional game interaction methods are often based on keyboards and mouses, which are difficult to meet the needs of players.With the help of AI technology, more intuitive and vivid interaction methods can be achieved, such as voice, gestures, expressions, etc.
Overall, the most successful practice of AI in the field of gaming is undoubtedly to enhance game experience and personalize game content. The AI generation model can optimize the game development process in a short period of time and integrate traditional Web2 games with a lower development cost.The multiple highlights of this project are to improve the smoothness of incremental users participating in Web3 games, which is an important part of the large-scale migration of Web2 users to Web3 games.
02Unleash infinite creativity
Decentralized blockchain is an important force in balancing AI (and machine learning). First, it can combine other technologies, such as ZK, to optimize the trust framework for machine learning. Second, it can effectively utilize long-tail resources to reduce the use of AI.Cost and threshold, on the other hand, because many Web3 applications sacrifice user experience for security and decentralization, while AI can help optimize and enhance user experience, which is what AI can empower Web3.
Specifically for the application scenarios, although AI+DeFi, AI+DID/social use cases are available, generative AI is naturally applicable to the familiar gameplay of Web2 users such as text, sandbox, cultivation, open world, and UGC., through AI rewriting game logic and making the game full of more uncertainty and randomness, will make Web3 games collide with AI to create different sparks.
For example, an important innovation of Web3 games is that it requires users and platforms to participate in the creative process together, rather than planned limited games. In games, there will be a concept of Lore. In traditional games, this is planned by game designers.OK, it is completely predictable, and through AI models, various inputs can be put together and unpredictable outputs can be generated, so that games have infinite possibilities.
Imagine that one day in the future, we can access the magical virtual world through AR/VR devices. We can instantly create 2D and 3D objects that we imagine or cannot imagine in our minds through the prompt words, just like saying “magic”and then we can really own them (data hosted on the public chain), we can also interact with the virtual world’s intelligent AI NPCs and influence the story development of the entire game world, all of which will be made up of a completely transparent open source infrastructureProvide support.
Under this vision, AI-driven Web3 gaming field will unleash unlimited creativity.
03Rapid evolution and continuous integration
In fact, the prototype of the history of AI development games may be traced back to earlier.
The application of AI in game development can be traced back to classic games such as StarCraft and Diablo.At that time, developers needed to use AI systems to create interactive virtual worlds and characters.And these systems have become the standard configuration for the development of such interactive platforms.
Early research related to game development AI emphasized controlling non-player roles (NPCs), and with the development of natural language processing (NLP) technology, some pioneering work has emerged to use deep learning technology to generate levels.
The representative work is MarioGPT, which successfully generates some levels in “Super Mario Bros.” through the fine-tuned GPT-2 model.
With the rapid iteration of the model, AI’s capabilities are becoming more and more powerful.For practitioners in the Web3 game field, how to better create high-quality games with AI and how to apply AI generation models to the R&D process is the core of seizing incremental users.
We want to see emerging, procedurally generated worlds, each with its own rich history, inhabitants and mysteries.There will be interactive novels, stories that continue to evolve through the player’s choices and are told through the generated images, videos and audios, giving Web3 games more possibilities.
Written at the end
If a practitioner in the Web3 game field wants to complete a game work, he must at least cover interactiveness, playability, and content with a plot core, consider the plot connections between characters in the game, and also carefully design game levels for players.and goals.With the help of cutting-edge AI generation models, creativity and imagination can be transformed into complex game mechanisms and storylines, and designed AI NPCs with vivid personal characteristics to lead players’ actions, trigger and influence the direction of game stories, and improve game development.and operational efficiency, reduce the development and operation costs of the game, thereby generating new profit growth points.
AI technology has many directions in the development and operation of the game, including game plot planning, map generation, level setting, task generation, dialogue generation, story narration, model generation, as well as rules such as the game’s growth system and economic system.Generation of .
Now it’s just the beginning, and we believe that exploration in the AI and Web3 gaming will open a door to a new gaming world.With the advancement of technology and deepening of applications, players can expect to encounter more unique gaming experiences that will transcend the boundaries of traditional gaming and bring about a more immersive and interactive gaming world.This is an exciting time for players who love gaming and technological innovation.
