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If your website has been listed as potentially fraudulent, but you believe that it is not involved in any deceptive activities, please reach out to us.

Once you've furnished us with compelling evidence of your legitimate presence in the Crypto World, we will consider removing your website from the list.

Common Reasons for Listing

We typically categorize websites as potentially fraudulent for several reasons:

• You may be concealing your team's identity.
• Your website might have a negative reputation due to suspicions of trickery or scams.
• You may lack a well-crafted project whitepaper, or the existing one may be of poor quality.

Their official site text

CharacterAI | Introduction

Let’s CharacterAI bring you a new life.

Our team is proud to introduce CharacterAI. As you’ve already known before, Generative AI gives you the power to turn words into images. However, CharacterAi does not simply stop there, it allows you to create a fully interactive AI character with its own appearance, emotions, and feelings from just a brief text description. In short, CharacterAi enables Text-to-Character creation with no limitations, the only limitation is your imagination.

The Dawn of Generative Era

In the same way that the internet revolutionized content distribution, AI is revolutionizing content creation. World-renowned Language Models such as GPT-3, ChatGPT, Text-to-Image Models like DALL-E 2, MidJourney, and now CharacterAI - Text-to-Character AI model, mark the beginning of a new era in content creation.

Let’s meet CharacterAI

CharacterAI is a revolutionary artificial intelligence system that allows users to quickly generate interactive characters with distinct appearances, voices, intelligence, personalities, and identities simply by providing a brief description. We aim to push the boundaries of what’s possible and create products that allow users to have fun while exploring the full range of their imagination. Your character will be a unique, one-of-a-kind creation.

Success of NFTs

Success of NFTs

Non-fungible tokens (NFT) are becoming one of the most important trends in the crypto ecosystem. The first generation of NFTs has focused on key properties such as ownership representation, transfer, automation as well as building the core building blocks of the NFT market infrastructure.

The hype in the NFT market makes it relatively hard to distinguish signal versus noise when even the most simplistic form of NFTs are able to capture incredible value. But, as the space evolves, the value proposition of NFTs should go from static images or text to more dynamic and intelligent collectibles. Artificial intelligence (AI) is likely to have an impact in the next wave of NFTs.

Intelligent ownership

Building AI capabilities into the lifecycle of NFTs opens the door to forms of intelligent ownership, says the CEO of IntoTheBlock.

Today, NFTs remain mostly digital manifestations of the offline word in areas such as art or collectibles. While compelling, that vision is quite limited. A more intriguing way to think about NFTs is as digital ownership primitives. Ownership representations have much wider applications than collectibles. While in the physical world ownership is mostly represented as static records, in the digital on-chain world ownership can be programmable, composable and, of course, intelligent.

With intelligent digital ownership the possibilities are endless. Let’s illustrate this in the context of collectibles that remain one of the best-known applications of NFTs.

Imagine digital-art NFTs that could converse in natural language answering questions to explain the inspiration behind their creation and adapt those answers to a specific conversation context. We could also envision NFTs that could adapt to your feelings, mood and provide an experience that is constantly fulfilling. What about intelligent NFT wallets that, as they interact with a website, could decide which ownership rights to present in order to improve the experience for a given user?

Echoing William Gibson’s famous quote, “The future is already here, it’s just not very evenly distributed,” we should think about the intersection of intelligent digital ownership as something that is possible with today’s AI and NFT technologies. NFTs are likely to evolve as a digital ownership primitive and intelligence should definitely be part of it.

AI & NFTs

To understand how intelligent NFTs can be enabled with today’s technologies, we should understand what AI disciplines have intersection points with the current generation of NFTs. The digital representation of NFTs relies on digital formats such as images, video, text, or audio. These representations map brilliantly to different AI sub-disciplines.

Deep learning is the area of AI that relies on deep neural networks as a way to generalize knowledge from datasets. Although the ideas behind deep learning have been around since the 1970s, they have seen an explosion in the last decade with a number of frameworks and platforms that have catalyzed its mainstream adoption. There are some key areas of deep learning that can be incredibly influential to enable intelligence capabilities in NFTs:

Computer vision: NFTs today are mostly about images and videos and, therefore, a perfect fit to leverage the advancements in computer vision. In recent years, techniques such as convolutional neural networks (CNN), generative adversarial neural networks (GAN), and, more recently, transformers have pushed the boundaries of computer vision. Image generation, object recognition, scene understanding are some of the computer vision techniques that can be applied in the next wave of NFT technologies. Generative art seems like a clear domain to combine computer vision and NFTs.

Natural language understanding: Language is a fundamental form to express cognition, and that includes forms of ownership. Natural language understanding (NLU) has been at the center of some of the most important breakthroughs in deep learning in the last decade. Techniques such as transformers powering models such as GPT-3 have reached new milestones in NLU. Areas such as question answering, summarization, and sentiment analysis could be relevant to new forms of NFTs. The idea of superposing language understanding to existing forms of NFTs seems like a trivial mechanism to enrich the interactivity and user experience in NFTs.

Speech recognition: Speech intelligence can be considered the third area of deep learning that can have an immediate impact in NFTs. Techniques such as CNNs and recurrent neural networks (RNN) have advanced the speech intelligence space in the last few years. Capabilities such as speech recognition or tone analysis could power interesting forms of NFTs. Not surprisingly, audio-NFTs seem like the perfect scenario for speech intelligence methods.

iNFT