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法国巴黎的 EthCC 2022 与会人数是去年的两倍多,洋溢着乐观的气氛。尽管熊市挥之不去,但 Ripple 的法律胜利和潜在的比特币 ETF 等积极进展仍引发了人们的兴奋。人工智能成为热门话题,讨论探讨了加密货币市场的应用、不可替代的代币定价以及区块链在增强人工智能隐私和数据管理方面的作用。
Cryptocurrency Flourishes at EthCC, Signaling Bear Market's Potential End
加密货币在 EthCC 上蓬勃发展,预示着熊市的潜在结束
Paris, FRANCE - Surging attendance, enthusiasm, and optimistic news fueled the atmosphere at last week's EthCC conference, prompting speculation that the cryptocurrency market may be emerging from the depths of the bear market.
法国巴黎 - 上周 EthCC 会议的出席人数、热情和乐观消息助长了会议气氛,引发了人们对加密货币市场可能正在走出熊市深渊的猜测。
Over 250 side events, all well-attended, highlighted the growing interest in the Ethereum ecosystem. The sunny skies of Paris added to the ebullient mood, bolstered by Ripple's recent legal victory against the SEC, which triggered price rallies across the cryptocurrency market, including Ethereum's native token, ETH.
超过 250 场场外活动,出席人数众多,凸显了人们对以太坊生态系统日益增长的兴趣。巴黎晴朗的天空增添了人们的热情,Ripple 最近在针对 SEC 的法律诉讼中获胜,引发了整个加密货币市场的价格上涨,其中包括以太坊的原生代币 ETH。
Enthusiasm for the convergence of artificial intelligence (AI) and blockchain technology permeated the conference. Investors and founders alike expressed bullish sentiments about AI's potential to revolutionize the cryptocurrency sector.
会议中弥漫着对人工智能(AI)和区块链技术融合的热情。投资者和创始人都对人工智能彻底改变加密货币行业的潜力表示看好。
AI in Web 3 Finance
Web 3 金融中的人工智能
One camp believes AI's immediate and practical applications in crypto markets and communities hold the most promise. Ken Timsit of Cronos Labs envisions AI as a tool to enhance productivity in crypto financial markets, amplifying the dollar value of funds managed by crypto firms.
一个阵营认为人工智能在加密货币市场和社区中的直接和实际应用最有希望。 Cronos Labs 的 Ken Timsit 将人工智能视为提高加密金融市场生产力的工具,从而放大加密公司管理的基金的美元价值。
Chatbots and analytical capabilities could empower crypto traders and institutions, with high-frequency trading houses and market makers already leveraging AI for competitive advantages. Upshot, a company specializing in non-fungible token (NFT) pricing, employs AI to address the challenges of pricing and market clearing for these unique digital assets.
聊天机器人和分析能力可以增强加密货币交易者和机构的能力,高频交易公司和做市商已经利用人工智能来获得竞争优势。 Upshot 是一家专门从事不可替代代币 (NFT) 定价的公司,利用人工智能来解决这些独特数字资产的定价和市场清算挑战。
Cryptography for Better AI
密码学带来更好的人工智能
Zero-knowledge proofs (ZK), a cryptographic technique that allows for the verification of statements without revealing any other information, have emerged as a buzzword in crypto development. Eli Ben-Sasson, Co-Founder and President of StarkWare, believes that blockchains excel at social coordination, while ZKs offer privacy, which may not be AI's primary requirement.
零知识证明(ZK)是一种密码技术,允许在不泄露任何其他信息的情况下验证语句,已成为密码开发中的流行词。 StarkWare 联合创始人兼总裁 Eli Ben-Sasson 认为,区块链擅长社交协调,而 ZK 提供隐私,这可能不是人工智能的首要要求。
However, venture capitalists see promise in blockchain's ability to track data used in AI training, a computationally demanding task. Monitoring the actions of algorithms is equally crucial, if not more important.
然而,风险投资家看到了区块链跟踪人工智能训练中使用的数据的能力,这是一项计算要求很高的任务。监控算法的行为同样重要,甚至更重要。
Powering AI with Blockchain
用区块链为人工智能提供动力
Computational power remains a key bottleneck for ZK proofs, but companies like Manta Network and Fabric Cryptography are addressing these challenges. Other projects leverage blockchains to aggregate computational resources for training and running machine-learning models.
计算能力仍然是 ZK 证明的关键瓶颈,但 Manta Network 和 Fabric Cryptography 等公司正在解决这些挑战。其他项目利用区块链来聚合计算资源以训练和运行机器学习模型。
Future of AI-Blockchain Convergence
人工智能与区块链融合的未来
While the specific use cases emerging from the intersection of AI and blockchain remain uncertain, the potential for transformative applications is undeniable. The enthusiastic discussions and innovative projects showcased at EthCC provide a glimpse of the future where these two technologies converge to drive innovation and growth in the cryptocurrency ecosystem.
虽然人工智能和区块链交叉产生的具体用例仍然不确定,但变革性应用的潜力是不可否认的。 EthCC 上的热烈讨论和展示的创新项目让人们得以一睹未来的风采,这两种技术将融合在一起,推动加密货币生态系统的创新和增长。
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