CharacterAI

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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.
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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.
We are already seeing manifestations of NFT-AI convergence in the form of generative art. However, the potential is much bigger. Injecting AI capabilities into the lifecycle of NFTs opens the door to forms of intelligent ownership that we haven’t seen before.
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 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
iNFT is described as a ‘’quantum leap forward’’ in the combination of artificial intelligence and NFT technology. iNFT stands for intelligent non fungible token, which is embedded with a GPT-3 prompt as part of its immutable smart contract. The generated iNFT is not only perceivably intelligent but also interactive due to the carefully crafted prompts stored at the smart contract layer.
CharacterAI protocol facilitates a user-friendly interface for you to make it easy to generate your intelligent NFTs (iNFTs) . After your AI character is tokenized, it can be used for a wide range of use cases:
Virtual assistants
Digital twins
Digital guides
Digital companions
Licensed collectibles
At CharacterAI we strongly believe that NFTs will eventually become intelligent NFTs (iNFTs), embedded with interactive, intelligently generative capabilities and capable of sense-making and possibly human-level intelligence in the coming decades.
AI Bot Development
We will provide an overview about our bot which will be used on the Telegram platform using the GPT-3 Artificial Intelligence.
Our bot will be totally free, where any Telegram user will have access. We will have two possibilities of including it, being:
Added through messages;
Added through groups.
We have on base, the GPT AI protocol with text response base and also stable diffusion for image generations.
Preventive measures:
Aiming at the possibilities, of bot's overloading the AI protocol, we set a minimum response time in the following ways:
20 seconds for group requests;
40 seconds for requests in direct messages.
iNFT Protocol
A smart contract layer on a blockchain that allows anyone to create a non-fungible smart token (iNFT).
Once merged with the Personality Pod, the NFT gains unique intelligence and personality. This is because the Personality Pod consists of several personality traits in a chain that shapes the iNFT's overall personality while dictating the iNFT's intelligence. In fact, the iNFT protocol has an immutable record of mergers between NFTs and Personality Pods. As long as the NFT remains merged with the Personality Pod, it is considered an iNFT.On a technical level, the merger act involves locking the Personality Pod within the iNFT protocol smart contracts, so that NFT users are not completely free.
This means that the iNFT protocol is designed with a non-binding structure. This architecture allows users to transform their NFTs into iNFTs without the protocol requiring custody (locking, staking, packaging, swapping) or applying other changes to the underlying NFT. Thus, users can use their NFTs outside of the iNFT protocol and reduce the risk of losing valuable NFTs due to a bug or attack on the iNFT protocol's smart contracts.
Roadmap
Phase 1: Pre launch
Community building
Website development and launch
Contract development
KYC & Audit
Bot build and proof-of-concept testing
Social Media Campaign
Phase 2:  Growth
SushiSwap Listing 
CoinMarketCap & CoinGecko Listing
Telegram bot completion
NFT Marketplace testing
Celebrity Partnership
Global marketing campaign
Phase 3: Expansion
Sponsorship and Partnership Worldwide
Stake to earn
AI NFT platform development
Twitter and Discord bot testing phase
Cex listing
Much more…
Yield Farming
Yield farming is a process of earning rewards by providing liquidity to a DeFi protocol and staking your $CHAI tokens to earn additional rewards.
Liquidity Pool
APR
Farm CHAI/ETH LP
30%
Farm CHAI/DAI LP
17%
One of DeFi's goals is to bring traditional financial services to the cryptocurrency market. And one of the tools that make this possible is the yield farming system. In short, it is a way that investors can earn more DeFi tokens without having to mine or trade.
Yield farming works in a similar way to interest-bearing investments. In this way it is able to produce a passive income for token holders. Although this explanation sounds simple, the process involves relatively complex operations. And to avoid confusion, we will provide a detailed but accessible summary of these operations.
How does it work?
In some ways, the yield farming process has similarities to mining via Proof of Participation (PoS). For example, holders of DeFi tokens leave their tokens locked up on a platform. By doing so they receive income in exchange for the immobility of these tokens. Many yield farms offer yields in the double digits per year, higher than most traditional fixed income investments.
Despite the similarities, yield farming is quite different. There is no "miner," because the tokens are not mined. The LPs are also part of the yield farming, providing liquidity to the pool. In exchange, they are remunerated with rewards or interest payments.
In CHAI we will use APR, so we will operate on a simple interest basis.
Staking
Stake your $CHAI tokens in staking pools to earn passive income. The rewards are in the form of a percentage of the total staked amount, known as the Annual Percentage Yield (APY). The higher the APY, the higher the rewards. The rewards are distributed among the pool members based on their contribution to the pools. 
Check our pools:
Stake
APY
Stake CHAI 
55%
Stake ETH 
10%
Stake DAI
7%
The CharacterAI Team
Our world-class team comprises developers, researchers, engineers, and talented individuals focused on artificial intelligence and blockchain. Character AI is expanding and looking to hire across multiple verticals. To apply, email your CV and Portfolio to [email protected]. We review every application!