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💻AI as the key to a Secure Web3 future 🌐 Influence of Web3 and AI: Modern society is shaped by advanced technologies, particularly Web3 and AI, which drive innovation across various sectors. While gadgets like Apple Vision Pro augmented reality glasses are notable, the impact of these technologies goes deeper, revolutionizing financial infrastructure, space exploration, and healthcare. 💻 🤖 Web3 Technology Overview: Web3, spearheaded by Gavin Wood, co-founder of Ethereum, integrates machine learning, AI, and blockchain to create intelligent websites and applications with enhanced data understanding and decentralization. This technology improves security and transparency in finance, data management, social networks, and blockchain-based games, finding direct application in the crypto industry. ⛓️ ❌ Risks and Challenges: Despite its potential, Web3 faces risks such as technical failures, data vulnerabilities, social engineering attacks, and identification issues. For instance, Binance has encountered legal challenges over alleged provision of illegal services. Technical failures may stem from hardware damage or network disruptions, posing security threats to transactions and data. 🛑 🔒 Security Challenges in Web3: Data risks arise from the decentralized nature of Web3, where transaction control lacks centralized oversight, making it challenging to address data and transaction issues. Self-sovereign identity mechanisms aim for confidential identification, raising concerns about social norms and accountability. Social engineering attacks manipulate smart contracts to compromise personal projects or wallets, necessitating a focus on AI for enhanced security. 🛡️ 🔍 AI Integration in Web3: Web3 companies benefit from AI integration to improve productivity, efficiency, and personalization. AI enables secure digital experiences by offering personalized services and enhances cybersecurity through real-time threat detection. Crypto exchanges like OKX, Coinbase, and WhiteBIT leverage AI for enhanced security, ensuring a holistic Web3 ecosystem. 🚀

💻AI as the key to a Secure Web3 future

🌐 Influence of Web3 and AI: Modern society is shaped by advanced technologies, particularly Web3 and AI, which drive innovation across various sectors. While gadgets like Apple Vision Pro augmented reality glasses are notable, the impact of these technologies goes deeper, revolutionizing financial infrastructure, space exploration, and healthcare. 💻

🤖 Web3 Technology Overview: Web3, spearheaded by Gavin Wood, co-founder of Ethereum, integrates machine learning, AI, and blockchain to create intelligent websites and applications with enhanced data understanding and decentralization. This technology improves security and transparency in finance, data management, social networks, and blockchain-based games, finding direct application in the crypto industry. ⛓️

❌ Risks and Challenges: Despite its potential, Web3 faces risks such as technical failures, data vulnerabilities, social engineering attacks, and identification issues. For instance, Binance has encountered legal challenges over alleged provision of illegal services. Technical failures may stem from hardware damage or network disruptions, posing security threats to transactions and data. 🛑

🔒 Security Challenges in Web3: Data risks arise from the decentralized nature of Web3, where transaction control lacks centralized oversight, making it challenging to address data and transaction issues. Self-sovereign identity mechanisms aim for confidential identification, raising concerns about social norms and accountability. Social engineering attacks manipulate smart contracts to compromise personal projects or wallets, necessitating a focus on AI for enhanced security. 🛡️

🔍 AI Integration in Web3: Web3 companies benefit from AI integration to improve productivity, efficiency, and personalization. AI enables secure digital experiences by offering personalized services and enhances cybersecurity through real-time threat detection. Crypto exchanges like OKX, Coinbase, and WhiteBIT leverage AI for enhanced security, ensuring a holistic Web3 ecosystem. 🚀

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💥Bitcoin Price Faces Key Resistance Levels 📈 Bitcoin is finding buyers at $68,000 due to Fed announcements and Mt. Gox transfers. Bulls are struggling to solidify $70,000 as support amid ongoing news flow. So, what do the more reliable on-chain signals indicate for mid-term forecasts? 💹 After months of rising, Bitcoin paused its rally following the last ATH. With the approval of the Spot ETH ETF, it has risen to the $67,500 to $70,000 range. Staying here is more promising than testing new dips at $60,000. Solidifying this higher support could lead to a new ATH attempt. The red trend line shows short-term traders are eager for profit-taking. BTC may test the Ichimoku Cloud; falling below it could shift sentiment to neutral, possibly testing $64,000. 📊 Bitcoin price rises steadily among investors. Long-term holders are taking profits, and new short-term investors are accumulating. From early 2024 to April, there were significant declines in supply active for 1 and 2+ years, while supply in UTXOs held for over 3 years increased. This upward trend suggests a new ATH is likely. Over half of the total Bitcoin supply has remained untouched for over a year. The turnaround at $56,000 showed a shift from selling to holding BTC. 📉 Only 1.1% of Bitcoin supply was purchased above $70,000, indicating few people bought BTC at higher prices, reducing the risk of rapid selling. 🔍 The conclusion: 6% of the total supply was bought in the $65,000 to $70,000 range, indicating strong support. The thin supply above $70,000 suggests a move towards $80,000 is possible. A short-term test of $64,000 could happen, but long-term investors have stopped selling.
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