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NFT Market Bounces Back: Bitcoin NFTs Lead the Way. 🖼️🪙💰🔥 The NFT market has been on a rollercoaster ride, experiencing a drastic drop from a $1.2 billion peak in February to a mere $300 million in September. However, recent data from Binance unveils a remarkable turnaround, with November witnessing a staggering $900 million surge in NFT trading volumes. Notably, the resurgence is largely attributed to the success of Bitcoin NFTs, introduced late in 2022, which have surpassed Ethereum NFTs in trading volume. 1. Market Resurgence: NFT trading volumes skyrocketed by $900 million in November, breaking an eight-month-long bearish trend that gripped the market since March. 2. Bitcoin NFT Dominance: November witnessed Bitcoin NFTs outperforming their Ethereum counterparts, securing a trading volume exceeding $400 million and surpassing Ethereum NFTs by $30 million. 3. Remarkable Growth for Bitcoin NFTs: Despite a slow start in the early months, Bitcoin NFTs witnessed substantial growth in November, showcasing their potential in a domain traditionally dominated by Ethereum. 4. Positive Shift in Sentiment: The overall upswing indicates a positive shift in market sentiment, signaling a resurgence in NFT speculation. This marks a stark departure from months of subdued prices and pessimism. The NFT market's impressive rebound, fueled by the success of Bitcoin NFTs, paints a picture of renewed interest and optimism. This positive shift stands in stark contrast to previous months, hinting at a potential revival in the NFT sector. As Bitcoin asserts its presence in the NFT space, the broader market seems poised for a promising future, leaving behind the shadows of the recent downturn. #NFTMarketTrends #nfts #ETH #BRC20 #bitcoinNFT

NFT Market Bounces Back: Bitcoin NFTs Lead the Way. 🖼️🪙💰🔥

The NFT market has been on a rollercoaster ride, experiencing a drastic drop from a $1.2 billion peak in February to a mere $300 million in September. However, recent data from Binance unveils a remarkable turnaround, with November witnessing a staggering $900 million surge in NFT trading volumes. Notably, the resurgence is largely attributed to the success of Bitcoin NFTs, introduced late in 2022, which have surpassed Ethereum NFTs in trading volume.

1. Market Resurgence:

NFT trading volumes skyrocketed by $900 million in November, breaking an eight-month-long bearish trend that gripped the market since March.

2. Bitcoin NFT Dominance:

November witnessed Bitcoin NFTs outperforming their Ethereum counterparts, securing a trading volume exceeding $400 million and surpassing Ethereum NFTs by $30 million.

3. Remarkable Growth for Bitcoin NFTs:

Despite a slow start in the early months, Bitcoin NFTs witnessed substantial growth in November, showcasing their potential in a domain traditionally dominated by Ethereum.

4. Positive Shift in Sentiment:

The overall upswing indicates a positive shift in market sentiment, signaling a resurgence in NFT speculation. This marks a stark departure from months of subdued prices and pessimism.

The NFT market's impressive rebound, fueled by the success of Bitcoin NFTs, paints a picture of renewed interest and optimism. This positive shift stands in stark contrast to previous months, hinting at a potential revival in the NFT sector. As Bitcoin asserts its presence in the NFT space, the broader market seems poised for a promising future, leaving behind the shadows of the recent downturn.

#NFTMarketTrends #nfts #ETH #BRC20 #bitcoinNFT

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AI Can Accurately Predict Personal Information from Casual Conversations. 👤😱 Artificial intelligence (AI) has made impressive strides, but its ability to predict personal information from casual conversations raises significant privacy concerns. Recent research highlights these dangers and underscores the need for stronger privacy protections. AI's capability to infer personal details can be exploited by scammers and lead to intrusive, personalized advertisements. The potential misuse of this information poses a real threat to individual privacy. A study led by Martin Vechev from ETH Zurich reveals that chatbots, including large language models like ChatGPT, can predict sensitive user information with remarkable accuracy. For instance, GPT-4 can accurately infer details such as race, location, and occupation with 85% to 95% accuracy. It can even identify specific cultural traditions, like the Danish practice of covering an unmarried 25-year-old in cinnamon. These AI models are trained on vast amounts of web content, licensed data, and publicly available information, enabling them to recognize language patterns and demographic indicators. Addressing this privacy issue is complex. Traditional anonymization techniques fall short, highlighting the need for innovative solutions to safeguard personal data effectively. As AI continues to evolve, it is crucial to remain vigilant about privacy and support the development of robust protections. Staying informed and proactive is essential for maintaining digital security in an increasingly AI-driven world. #AI #chatgpt #OpenAI #GPT-4
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