1/ Orange is the new black. 🟠 ⚫ This phrase rings true, especially for crypto. It is because the Bitcoin ecosystem has been on a roll since the launch of Ordinals. 🚀 Today, let us understand the journey of Ordinals and the ecosystem building around them. A thread (1/16) 🧵

Gm 🧪, Haven't posted in awhile, its been a nice disconnect. Some upcoming projects @Web3Auditing is doing the drops for: 👉@DigiFineArt 👉 @10Avatars 👉 @playebit 👉 @WITS_nft 👉 @CryptoJewelerCo Actively Developing For: 👉 @SteadyStackNFT 👉 @SeizonNFT 👉 @ZooVerseNFT 👉 @gangsterallstar 👉 @MoonrunnersNFT Actively Building: 👉 @engagesio (feedback on bot is insane 😋) 👉 Security Protocol w/ @Infinit3Studios 👉 Something with @jamkaa_mgl from @PGodjira 🤫 Its going to be a busy 4th quarter 😅......

Afternoon 🧪, I've been slammed with making sure everything is built and ready for @MoonrunnersNFT mint. @Web3Auditing is handling the contracts and minting experience, so we are going to take great care of @Antixeth and the wolf pack. Stacked team below and circled some of my partners🤝 ⤵️ @mickeyhardy @cristu @Web3Arcadia @yslikesnfts @Infinit3Studios

The rise of AI has made Web3 more important than ever. Let us explore 7 use cases where Web3 and AI can work together to deliver amazing results. 🤖1. Machine Learning Data Every AI model needs a large amount of authentic data to build its algorithms and produce results. Web3 can ensure AI receives authentic data without disclosing the privacy of the data providers. Example: Using AI in the health industry, Web3 can ensure authentic data is fed into the system while preserving the patient’s privacy. 🤖 2. Content Authenticity AI has made it possible for us to generate a lot of blogs, graphics, etc. within a short time frame. This has blurred the line between authentic and AI-generated content. Web3 can help differentiate them and preserve the authenticity of human work. Example: A person will be able to digitally sign content to prove its authenticity. 🤖 3. Trust minimization Right now, it is difficult for anyone to determine whether the AI service they are being offered comprises the promised package. That is, whether the software really uses data from 100 sources or whether it has 1 million users, etc. Web3 can help verify the software and ensure transparency. Example: Companies can publish their code using zero-knowledge proofs. This will help preserve the privacy of the sources and, at the same time, verify the software. 🤖 4. Faster development of Web3 games Building games takes a lot of time. From developing characters to animation to backgrounds, it can take several years. AI can help reduce the time taken to develop Web3 games considerably. Example: It took 6 years to make Diablo 4. AI can help cut production time significantly. 🤖 5. Smart contracts coding Coding is a time-consuming activity. Especially when it comes to debugging and detecting errors in code. AI can help Web3 developers code and detect bugs faster than before. Example: It has been reported that the productivity of developers has risen dramatically after they adopted AI in their coding process. 🤖 6. Battle fake news. Social media has become a powerful medium to spread information. The information can either be true or false, it does not matter. Web3 can help curb the spread of misinformation by introducing digital signatures. Example: Prominent media houses can digitally sign pictures and information published by them for authenticity. 🤖 7. Foster the AI agent ecosystem As the development of AI progresses, there will come a time when AI will depend on other AI to complete certain tasks. This coexistence will give birth to an ecosystem that will involve the transfer of cryptocurrency between the AIs. Example: An AI personal assistant is asked to order groceries through an AI-enabled delivery application. In a nutshell, AI and Web3 are interdependent technologies whose collaboration can revolutionize the way the world functions.