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Anjali Thacker

@anjalithacker

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3 Common Myths about hashtag#cryptocurrency 👇 1. Myth: All crypto is Bitcoin. 👉 While Bitcoin was the first cryptocurrency and remains the largest by market cap, there are over 24,000 cryptocurrencies traded on more than 600 exchanges. 2. Myth: Cryptocurrency is all scams. 👉 Although scams exist, they represent a tiny fraction of crypto activity. In 2022, mainstream services received $8.1 trillion in cryptocurrency, while scammers made $6 billion. The vast majority of crypto transactions are legitimate! 3. Myth: Crypto is only used by criminals. 👉 In the past, a larger share of crypto transactions was linked to crime, but today, illicit activity accounts for less than 1% of overall crypto transaction volume. Increased regulation and blockchain analysis tools have made the ecosystem safer. These are 3 myths from Chainalysis Crypto Myth Busting Report. you can check more Myths from the report.
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Using Tokens to Bootstrap Attention and Community Engagement DEGEN, launched on the Farcaster network, a token to reward users for creating quality content and engaging with the community. This approach helps generate initial attention by incentivizing users to participate actively. Tokens act as a currency for attention, aligning the interests of both creators and users. By participating in the DEGEN community, users can earn rewards for their contributions, fostering a vibrant and engaged network. This is a cool example of how crypto can be used to boost attention for projects I learned this perspective from Li Jin, who emphasizes that crypto can be viewed as the next iteration of the attention economy. Memecoins, NFTs, and tokens act as new “attention assets,” measuring and capturing the value of attention in real time, thus creating a more efficient market. Follow me for more such learning!
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Why are Data DAOs important for AI? Data DAOs, or decentralized autonomous organizations for data, are crucial for AI development for several reasons: - Traditional methods like web scraping are reaching their limits. Data DAOs can access new, valuable data. - Current data aggregators benefit most from the data they collect, but contributors see little to no reward. Data DAOs change this by rewarding contributors for their data, ensuring that those who generate the data also benefit economically. Examples: Real-World Data: Platforms like Hivemapper incentivize users to share mapping data, which is valuable for AI and other applications. Data DAOs provide a decentralized way to collect high-quality data, rewarding contributors and enhancing AI models. This is essential as AI continues to grow and traditional data sources become insufficient. Learn this from Li Jin, Follow me for more such learning
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