Feed3 is the web 3.0 project designed to reward feedback for games built on Cardano and several other networks
Web 3.0 continues to grow with endless possibilities to explore in the virtual universe. However, currently, play-to-win games/ecosystems have become well established in the metaverse, with more of them hitting the cryptocurrency market daily. But not much more than a few of them stay afloat for over a year, largely due to lack of feedback, a problem Feed3 was designed to solve.
Blockchain encryption technology continues to seek ways to empower its users as the internet and the digital world evolves. Web 3.0 is still in the development phase, with the metaverse, video games and play-to-earn ecosystems bringing the main innovative products. Developers are now exploring networks, including Cardano (ADA), to create games that could be played in the metaverse and also be a source of income for their players.
However, these games only see the light of day for a few months and flow as if they never existed. This is due to the fact that most of them are profit driven and do not pay attention to the plight of their players to the point of improving their games and becoming disciplined. Feed3 (FD3) is a solution to help its users earn money from feedback and allows video games and play-to-win ecosystems to collect enough data to improve.
Power3 (FD3) is the first of its kind as an audio feedback tool for gamers in the Web 3.0 space to feed back their experience to the developers of their favorite blockchain games or decentralized applications. This audio feedback will be made possible through AI-powered voice recording that takes your criticism in plain English. Additionally, to ensure players get value from using the tool, Feed3 (FD3) uses a Feedback-to-Earn model where you can earn FD3 tokens.
Feed3 (FD3) uses a deep neural network (Freeda) to reward players for giving feedback on P2E games developed on the networks, including Cardano (ADA)
The Feedback-to-earn initiative uses a deep neural network known as Freeda that helps analyze player feedback and distributes FD3 tokens appropriately. Whether you play a game created on Cardano (ADA) or any other network, Freeda uses its technology to determine the length of the recording, the emotions expressed, the accuracy/precision and the sincerity of the recording.
All of these comments are essential to the amount of FD3 tokens given to players. Additionally, Freeda notes your intonation, emphasis, and speaking rate in the audio feedback. However, Freeda is powered by 10,000 iNFTs (Intelligent NFTs) ranging from $2,000 to $3,000.
These iNFTs process your game audio feedback and generate the FD3 tokens. You can also sell iNFTs and the data accumulated on them. Freeda, in collaboration with iNFTs, will provide speech processing, audio classification, onset detection, noise suppression, lightning-fast data transfer and an anti-script mechanism for audio feedback .
When you access Feed3 (FD3) to use games powered by Cardano (ADA) and others, you have a chance to get bonuses in the form of more FD3 tokens. For example, when you buy FD3 tokens with ETH, BNB, USDT TRC-20, USDT ERC-20 and BTC, you have a chance to get 10%, 12%, 15%, 10% and 12% more tokens . Also, when you sign up to Feed3 and buy FD3 tokens within 15 minutes, you get 40% more tokens.
The intelligent NFTs (iNFTS) of Feed3 (FD3)
iNFTs will ensure that Feed3 (FD3) conveys a decentralized attitude in the deep neural network – Freeda. This will be followed by authenticity recording, inclusive growth, portability, availability of economic opportunities for users, and transparency on audio commentary. These iNFTs are a group of 10,000 NFT avatars on Ethereum, working with the “engines” of Freeda’s AI language model.
Depending on the level of the iNFT, FD3 users can record longer audio commentaries, thus earning more FD3 tokens.
Feed3 (FD3) is an initiative that will help Web 3.0 move faster and better through its development phase. The project is very valuable for its features and will generate good profits for its token holders in the long run.
Share this article
Do the sharing
About the Author
More info about the author