When AI meets crypto, a world of opportunities emerges. 🌍
Interested in learning about use cases, opportunities, and challenges in this field? 🔥
Keep reading! 📖
THREAD 🧵
Before investing in any AI project you must understand the challenges and have a global vision
The integration of AI and crypto presents multiple opportunities, which we will explore in this THREAD. However, like all emerging technologies, there are pros and cons to consider
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Summary:
🔸Benefits
🔸Challenges
🔸Use cases for #DEFI
🔸Use cases for #NFT
🔸Use cases for #DAO
🔸Conclusion
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🔸Benefits
Improve Efficiency: The integration of AI in web3 applications can automate numerous tasks and decision-making processes, resulting in increased efficiency and productivity.
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Analytics: The analysis of the extensive on-chain data can be a time-consuming process.
However, by incorporating AI into big data analytics, insights can be generated more efficiently, and unwanted data points can be flagged, resulting in improved accuracy.
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Improve Risk Management: AI can help identify red flags and improve risk management processes, from complementing smart contract audits to automating risk monitoring processes in trading.
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🔸Challenges
Adoption: Adoption is still very limited to a small group of users. To increase adoption, AI must be applied to real use cases where people would use it without realizing it.
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Data privacy: Data privacy is a critical concern in this domain due to the vast amount of data used, especially in terms of usage and security.
Policies for data protection, usage, and security are essential.
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Technical: The integration of AI and blockchain technology presents technical challenges that necessitate project teams to have expertise in both areas.
Continued research and development of common standards in these fields will encourage innovation.
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🔸Use cases for DEFI
Smart contract audit: Everyone knows that AI is very good at correcting codes and finding red flags.
AI can help conduct smart contract audits more efficiently and quickly.
Trade automation: Trading bots existed long before AI, but AI can make these trading bots more efficient. AI facilitates the management of your positions, risk management, profit-taking, etc...
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This is the case for trading but it is also possible to do the same thing with farming.
AI can make the search for yields, the management of positions, and the transition from one yield farming protocol to another more efficient…
Predictive Analytics: AI can predict price changes or global trends from on-chain data developments.
This enables you to anticipate market evolution and identify risks and opportunities more quickly.
🔸Use cases for NFT
Generative Art: Everyone knows that AI can be used to generate images. AI can therefore be used to generate art that can be used by NFT projects.
Interactive NFT: AI can be used to develop NFTs and therefore create smart NFTs or interactive NFTs (iNFT).
AI has the potential to enable iNFTs to absorb new metadata, which can shape their future interactions and personalities.
🔸Use cases for DAO
Improve DAO operations: It is very easy for DAOs to get scattered and waste time on proposals that are not effective or not important. AI enables the DAO to focus on the important tasks defined by their strategic objectives.
Example: chatGPT
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Automatic voters: Most holders do not understand DAO proposals and therefore do not vote (centralization risk). AI allows defining automatic voters based on the Holder's needs and global strategy. AI will vote in your place and ensure your interests.
🔸Conclusion
Blockchain is still a young concept, AI is an even younger concept. The two taken separately have incredibly interesting and revolutionary use cases.
Now imagine merging the two? A nuclear bomb!
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However, there are still developments and progress to be made but the following promises to be exciting.
DEFI, NFTs, DAOs, … have not yet finished evolving and AI will help them reach the top of what these concepts are capable of offering to users.
Here’s how to build an AI agent with a wallet and an X account, all without any coding skills 🧵🔽
I’ve just discovered how to create an AI agent with a wallet and an X account that can perform on-chain operations autonomously or under control, all without coding skills!
Let me walk you through the steps to set it up on Base 👇
To get started, we’ll use a template that has all the code needed.
Everyone keeps saying, 'I want to dive into Bitcoin Fractal but don’t know where to start.'
My answer? Start by exploring the ecosystem’s tools and projects!
Here’s a list of all the Fractal tools you need to kick off your journey right 🧵🔽
If you're unfamiliar with Fractal, I highly recommend checking it out, there are plenty of opportunities to seize.
Fractal is an infrastructure developed by @unisat_wallet designed to scale Bitcoin and ease network congestion, making it easier to develop DeFi applications.
Since Unisat developed it, they've also created several tools to interact with Fractal.
One of the main reasons I'm optimistic about Fractal is because it’s backed by Unisat, a team with a track record of successful projects.
Let’s dive into the tools you need to get started with Fractal:
Spent my weekend diving into the whitepaper and found some mind-blowing stuff!
Four-digit is just a matter of time, here’s the breakdown of what you need to know 🧵🔽
Bittensor is a decentralized platform that uses blockchain technology to power the creation and exchange of AI models.
It also rewards participants with $TAO tokens for their contributions.
The main blockchain consists of subnets.
Subnets in Bittensor are decentralized markets where AI models compete to perform tasks like text generation or image recognition, and TAO tokens are distributed based on performance.
You can now have a personalized Solana address in just 5 minutes!
No technical skills required.
Here's how you can do it! VIDEO GUIDE 🧵🔽
Why on earth would you want a personalized Solana address?
There are several reasons:
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Step 1️⃣ : Installing Solana CLI on your PC
➠ Search on Google for "Solana CLI install."
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