As artificial intelligence continues to grow and adapt, there are few opportunities where it can’t be a helpful contributor to NFTs.
With image-creating programs, it is now possible to turn text-based prompts into images. These programs are becoming increasingly user-friendly and popular among users. There are even art projects that make use of AI to produce their works.
But there are different opinions on the possibility of AI and AI art; some believe that it is an insult to artists and the creative individuals who create authentic art. However, the potential for AI to affect Web 3.0 and the exchange of digital assets may be more than just creating digital art.
One company includes Altered State Machine which is focused on the future of AI. This can allow people to trade agents in virtual reality and could help improve substantial changes.
Introducing a new AI-driven NFT
ASM is excited for the future of these digital environments, and one of its goals is to help create metaverse spaces populated by AI agents that can compete with each other, interact with, and support human actors. But creating AI characters that result in a more versatile, living, and breathing metaverse experience is just one of many potential applications for the ASM protocol.
ASM AI Agents can adapt to a variety of projects- whether it’s for gaming or financial use. ASM offers high-quality, powerful agents that can be customized to the project at hand.
What an AI NFT will look and act like depends on a few things. ASM’s agents consist of three parts. They have form, brain, and memories.
ASM’s Artificial Intelligence Football Association was created by the company and is a metaverse game where AI Teams compete against each other. The game is populated with NFT characters from ASM called the AIFA All-Stars. The abilities of the NFTs are randomly generated by their internal AI that has Non-Fungible Intelligence to create diverse teams.
NFT character forms are powered by AI. The final component of the AI is the memories that store their behavioral strategies, or how they learned to act.
The AI brain can be trained both in the environments that they play in and by using “gyms” specialized to improve their abilities. These gyms are networked GPU cloud computing providers that run training algorithms for a specific ASM application. In our AIFA gaming example, this would mean improving your character’s shooting ability. For your AI if being used for DeFi markets, it could mean adjusting risk tolerance for a trading bot.
Owners can spend their $ASTO to pay for time at the gym on their own hardware. ASM provides opportunities for owners to run GPU-based computations through the gym and make a profit.
With specialized AI, each NFT is created with its own unique features and behaviors. This is a step beyond what we see in the current generative PFP ecosystem. Randomly assigned characteristics will show up differently depending on the use case context of the NFT.
Once you train them, users can sell or trade the improvements to their traits. Commodifying these traits have the potential to create an economy across different metaverses and in the gaming and financial markets. In an interview, David McDonald (CEO of Altered State Machine) explained that “training depends on the use-case,” adding that one of the determinative factors of what they learn is how they build a specific environment.
The AI agents learn in various different environments within the same world, like a soccer stadium. They can also exist and interact with other players from other realities after being trained within this environment.
AI can learn new skills to adapt to new environments. For example, AI agents are composable which relates to their ability to interact with other parts of a system, and is a design principle that relates to their system’s ability to interact with other ones.
When discussing composability in AI, McDonald points out that locomotion might be considered one example.
“Learning how to navigate an environment for an NPC can be composable element that you can put into game or NPC experiences.” McDonald elaborates. “You could pair that up with natural language processor, for example, that allows for chat functionality.”
We need to start thinking about metaverse spaces as places where you interact with other humans in order to have an experience. Copyright laws are also changing when it comes to metaverse spaces because they cannot be solely controlled by the company that owns them.
Unique ways of selling virtual goods in a digital space (metaverse) are not sustainable because without the creator present it’s impossible to interact with potential customers. ASM helps solve this problem through their ability to scale commerce that is eternal, using a team of AI bots in lieu of an experienced developer.
Muhammad Ali – ASM’s Next Legends Boxing Game in Metaverse
ASM’s next most important project is Muhammad Ali, a boxing game with AIs. The goal of this game is to fight other opponents and generate content that boosts the skills of the characters in the game.
ASM and a company, Authentic Brands Group in collaboration with Lonnie Ali, are releasing the game “Muhammad Ali Living Legend” later this year. The game will be released while paying tribute to the legacy of Muhammed Ali.
Some of the new ASM AI games will have NFT characters that utilize their AI brains. The Next Legends will have characters with a randomized set of skills that you train, like jabs and uppercuts, to better develop your abilities in the game.
McDonald is thrilled about the partnership and is excited about the project, he admires Muhammad Ali his whole life.
The team has accepted an opportunity to create exciting new game mechanics and to immerse ourselves in this new interactive space. It is a great honor that we have been given the chance to bring light to a new era of storytelling.
McDonald emphasizes that it’s important to satisfy the needs and interests of both those familiar with Web3 and those new to the space.
For the new game, we need to make sure it is user-friendly for newcomers and experts alike. We are using familiar web interfaces to introduce people to Ethereum. For example, we plan to make use of micro contracts and token contract addresses in the game so that gamers with various levels of expertise can participate.
Putting AI in the hands of the people
Overall, the implications ASM’s technology border has for Web3 are exhilarating. Keeping with the Web3 ethos of ownership, collectors of these agents will have proof of ownership of an AI whose evolution and purpose they have control over. McDonald contrasts this with how AI in Web2 works, explicitly noting how algorithms in social media are completely out of the user’s control, which can have profound effects on a person’s psychology and mental health.
One problem with preference algorithms is that it takes you down the rabbit hole on what it knows about your behaviors, which might be different from what you are targeting. For example, a depressed person shows content about depression. Sending someone down this rabbit hole they don’t want to go down because said algorithm knows they see higher engagement levels in that content whereas the user is trying to avoid this specific topic. The ability for a person to have self-sovereign control over their preference AI will be important.
