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Ai Is Rewriting the Blockchain Rulebook, While Risks Are Still Hiddenby@sofianberrahal
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Ai Is Rewriting the Blockchain Rulebook, While Risks Are Still Hidden

by Sofian BerrahalJuly 18th, 2023
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AI altcoins' market cap now surpasses $5 billion, promising endless innovation. While AI has the potential to supercharge the crypto world, it also brings certain risks to look after. Early winners are emerging, with the top five crypto AI projects by capitalisation: Fetch, Ocean Protocol, SingularityNET, Numeraire, and The Graph.
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AI altcoins' market cap now surpasses $5 billion, promising endless innovation. While AI has the potential to supercharge the crypto world, it also brings certain risks to look after.


The exciting fusion of artificial intelligence (AI) and cryptocurrency is revolutionizing the blockchain landscape. With AI altcoins gaining momentum and market capitalization surpassing $5 billion, the possibilities for growth and innovation are mind-boggling. Early winners are emerging, with the top five crypto AI projects by capitalization: Fetch.ai, Ocean Protocol, SingularityNET, Numeraire, and The Graph.


But because AI can impact just about anything, it’s already impractical to provide a concise overview of how AI is being adopted in crypto. I’m going to focus on how crypto projects can leverage AI to improve the user experience while being mindful of the potential hidden risks to users from AI analysis of blockchain data.


AI Supercharges Crypto Development


AI holds the key to enhancing scalability in crypto projects by optimizing network performance and building infinitely scalable computing networks on the blockchain. Take DeepBrain Chain, for example, a platform that aims to create an infinitely scalable computing network on the blockchain, ensuring the smooth processing of a higher volume of transactions. Scalability is crucial as the popularity of cryptocurrencies surges, and a network's ability to handle increased traffic directly impacts transaction speed and fees.


The integration of AI technology into cryptocurrency systems has a tremendous impact on security enhancement. AI algorithms serve as vigilant guards, detecting and preventing fraudulent activities within cryptocurrency transactions. By swiftly identifying suspicious patterns, AI-powered security mechanisms bolster trust and confidence in the crypto ecosystem.


AI brings automation and efficiency to decentralized exchanges (DEX), making tasks like order matching and trade execution a breeze. With the help of AI-driven chatbots, DEX platforms can respond to user queries and requests at lightning speed, ensuring a seamless experience for participants. Moreover, AI-powered personalized recommendations further elevate user engagement and satisfaction within DEX platforms.


What AI Brings to the Table for Crypto Users


One of the most prominent applications of AI in the crypto landscape is the integration of Large Language Models (LLMs) into on-chain data platforms. Similar to Bing's integration of ChatGPT, these platforms employ AI-driven chatbots to facilitate users in finding information quickly and effortlessly. By monitoring and detecting fraudulent activities, AI-powered chatbots act as vigilant guardians, mitigating cyber threats and providing investors with peace of mind as they navigate the dynamic crypto market.


They also update the customer experience too. To assist newcomers venturing into the world of cryptocurrencies, AI chatbot-driven customer support services have emerged. Take BCBitcoin, for instance, which leverages AI chatbots to provide prompt assistance and address queries related to cryptocurrency investments. And crypto.com has launched a generative AI user companion called “Amy” to help users navigate the platform and answer questions about their accounts. Such AI-driven support services enhance accessibility and ensure users receive reliable information, building trust and understanding in the crypto space.


Beyond the hype of LLMs, AI also plays a pivotal role in improving user experiences through personalized user interfaces (UIs) and user experiences (UXs). By harnessing AI-driven insights, crypto platforms can tailor their interfaces to individual user preferences, enhancing usability and engagement. Personalized UIs/UXs facilitate smoother interactions, making the crypto space more accessible and user-friendly.


And AI-powered bots trained for predictive and sentiment analysis are revolutionizing market predictions in the crypto industry. Platforms like Santiment or Messari employ machine-learning algorithms to analyze on-chain data and forecast future price movements.


Increased Security


There’s plenty of scope for AI to address some of the trust and security issues encountered by crypto users. CryptoQuant, for example, uses AI to examine the on-chain data of wallets and determine their reputation to help distinguish between safe and unsafe transactions.


The convergence of AI and blockchain technology holds tremendous promise for enhancing security in the crypto ecosystem. AI algorithms have the ability to identify vulnerabilities and proactively prevent cyber-attacks. By continuously analyzing vast amounts of data, AI systems gain a deep understanding of cybersecurity threats and risks, rapidly detecting and neutralizing malicious files, suspicious IP addresses, and insider threats. This proactive approach fortifies the security infrastructure of blockchain networks.


Exposure of Personal Information


While AI brings significant benefits, it's essential to address the potential risks associated with its application in the crypto landscape. Considering that blockchain emerged to claim that it would create trust in transactions where the actors are unknown to each other, there is a distinct risk that AI might result in the ability to identify participants.


The growing accessibility of AI chatbots for blockchain transaction tracking and data analysis raises concerns about user privacy. To mitigate these risks, prioritizing shielded transactions can prevent transaction details and balances from becoming publicly searchable. Safeguarding user privacy is crucial for maintaining the integrity and trustworthiness of the crypto ecosystem.


I’ve looked here specifically at the impact of AI on crypto, but this is a two-way street. It’s not just how AI can enhance crypto: crypto can benefit AI too. Some crypto projects could make AI 90% cheaper to develop. Blockchain could also improve AI in the areas of augmentation, automation, and computing power. There are many real-world use cases of how blockchain and AI could work together in different industries.


The synergy between blockchain and AI holds promise for various industries, unlocking innovative use cases and overturning traditional paradigms. Leveraging AI technology can enhance scalability, security, usability, and user experiences in the crypto space. However, it's crucial to navigate the potential risks associated with AI analysis of blockchain data. By harnessing the power of AI and being mindful of privacy concerns, we can unleash the true potential of AI in crypto, paving the way for a more efficient, secure, and user-friendly decentralized future.