随着该资产价格飙升至年度新高，XRP 可能正处于“杠杆驱动”的上涨之中。

尽管我自认为是一名密码学家，但我对“加密”（crypto）却并不特别感兴趣。

交易所,赵长鹏,华人币圈恩仇录 金色财经,1986年，湖南邵阳，一个男婴呱呱坠地。

本周，29家区块链初创公司共筹集了1.092亿美元的资金。World Liberty Financial在Pre-seed 轮融资中筹集了 3000 万美元——本周最大一笔融资。

牛市仍在蔓延，比特币虽涨跌互现，但以太坊逆转跌势突破3700美元，Defi、Layer2等板块普遍上涨，山寨币市场终于开始焕发活力。

最近，有三十多位加密大佬集体控诉：拜登政府有一个精心策划的 “Chokepoint 2.0 ”行动，就是为了秘密逼迫银行不给加密行业提供服务。

金色财经推出加密货币和区块链行业早报《金色早8点》第2525期，为您提供最新、最快的数字货币和区块链行业新闻。

DEXX 被盗事件已经过去15天，作为受害者和维权群群主，我梳理了事件的完整时间线及最新进展。

瑞波实验室（Ripple Labs）的RLUSD稳定币（一种与美元挂钩的超额抵押数字货币）即将获得纽约金融服务部（NYDFS）的批准。

看到一篇关于爱因斯坦如何招聘人才的帖子，觉得蛮有意思和启发的。

According to PANews, Flare Research recently published a paper introducing a new artificial intelligence (AI) method called Consensus Learning (CL), which combines AI with blockchain consensus mechanisms to achieve more secure and accurate AI. The paper states that Consensus Learning is a decentralized machine learning solution. In contrast to most existing centralized machine learning (ML) blockchain projects, Consensus Learning leverages blockchain to create decentralized AI models with performance improvements, security, data privacy, and decentralization advantages. This supports collaborative AI across application scopes, enabling the development of more accurate and robust AI models. As a result, Flare's token FLR experienced a slight increase. CoinGecko data shows that the FLR price has risen by approximately 11.7% in the past seven days.

According to Foresight News, the decentralized artificial intelligence network, Allora Network, has launched its testnet, allowing developers and AI enthusiasts to participate in the operation of the network's core infrastructure without permission. Allora has announced that the next stage will be the launch of the mainnet. Allora is a self-improving decentralized AI network that enables applications to utilize intelligent, secure AI self-improvement through ML model networks.

According to Blockworks, verifiable oracle protocol ORA is launching its on-chain AI oracle (OAO) on the Ethereum mainnet. In the coming weeks, the oracle will also be live on Optimism, Base, Polygon, and Manta. Implementing machine learning (ML) or AI onto the blockchain provides machine learning computation access to blockchain verifiability, validity, fairness, and transparency. However, there have been challenges in bringing AI on-chain due to decentralization requirements and Ethereum's computation environment being designed for EVM smart contracts. ORA's solution is through its OAOs, powered by optimistic machine learning (opML) on Ethereum. OpML can design any ML model on-chain, but with weaker security assumptions. According to ORA's documentation, opML uses a "verification game" similar to that used by optimistic rollup systems to enable a decentralized and verifiable consensus on the machine learning service. Once a requester initiates an ML service task and the server finishes it, the results are committed on-chain. A verifier must then validate the results, similar to what is done on an optimistic rollup. If the results are inaccurate, a dispute game with the server will begin, and the claim will be sent to an arbitration smart contract for a resolution. Grok, a generative AI chatbot; Stable Diffusion, a deep learning text-to-image AI model; and Llama2, Meta's open source large language model, are now available through ORA's OAO. Kartin Wong, the founder of ORA, noted in a press release that "only opML can put Grok on-chain. This is ORA's opML supremacy." Another type of ML that has been experimented with on-chain is zero-knowledge ML (zkML). This technology aims to generate cryptographic proof for ML computations that can be succinct enough to be verified on-chain. However, current computing power cannot practically generate proofs efficiently and affordably. Wong claims that, in contrast to zkML, opML can efficiently bring Grok's 314 billion parameter model on-chain, reducing overhead costs by over 1,000,000x.

Coinspeaker Mintlayer Upgrades Staking Program for ML Token Holders The Mintlayer sidechain enables users to create a decentralized ecosystem on the Bitcoin blockchain, including DeFi, smart contracts, atomic swaps, NFTs, and dApps. Mintlayer Upgrades Staking Program for ML Token Holders source: https://www.coinspeaker.com/mintlayer-upgrades-staking-program-ml/

Firstly for my fellow degens, I have to say that Machine Learning (ML) has seen incredibly significant progress in recent years and has found many applications in various domains. Am I right? It can be used for– Image Processing, Speech Recognition, Playing the game ‘Go’ and more recently can be used to discover antibiotics.  We […] source: https://droomdroom.com/zero-knowledge-machine-learning-zkml-explained/

앱토스(APT) 랩스는 구글클라우드와 협력했다고 X에 게시. 앱토스, 차세대 게임 개발을 주도 목적 파트너십. 앱토스랩스의 게임 개발 허브이자 플랫폼인 앱토스 게임스택(Aptos GameStack)을 통해 게임 개발자는 구글클라우드의 혁신적인 데이터 및 분석 솔루션, AI/ML을 앱토스에서 사용할 수 있는 Web3 게임 도구 및 기능 제품군과 통합하여 Web3 솔루션을 구글클라우드에 직접 가져올 수 있다. 이제 그 어느 때보다 많은 게임 ... source: https://coincode.kr/13925

io.net pioneers Apple Silicon Chip Clustering for ML, transforming cloud infrastructure. Decentralized Apple chip clusters enable global contributions, unlocking unused computing power. The IO Network, with M3 series support, addresses compute shortages in the AI/ML revolution. io.net, a leading Cloud Service Provider, has made waves in the tech world by unveiling groundbreaking support for... source: https://coinjournal.net/news/io-net-unveils-support-for-apple-silicon-chip-clustering-for-machine-learning/

据官方消息，Filecoin 生态项目 Banyan 与 io.net 达成战略合作。本次合作旨在通过提供对 Banyan 企业级文件存储和 io.net 的 AI/ML 的 GPU 网络访问，进一步推动去中心化和经济实惠地替代现有中心化云服务商。

io.netがソラナネットワーク上で分散型GPUネットワークの構築を目指し、3000万ドルの資金をシリーズAで調達。AIおよびML企業への低コストで迅速なGPUリソースの提供を目指す。4月28日には暗号資産（仮想通貨）IOのローンチも予定。 source: https://coinpost.jp/?p=514598

据官方消息，Binance Labs 公布入选加速器计划 MVB VII 第七季的 13 个早期项目，为期 10 周的加速器计划由社区驱动的区块链生态系统 BNB Chain 和 Binance Labs 联合运营。 DeFi 包括： 1、BitU ：一种加密原生抵押稳定币协议，利用链下流动性和效率来提供更高的收益。 2、Blum：一个混合交易所，通过 Telegram 迷你应用程序内的游戏化提供通用代币访问。 3、Surf ：长尾资产的流动性中心，例如小盘代币的杠杆交易、盘前交易、积分交易等等。 4、Vooi ：一个跨链 Perp DEX 聚合器，支持 EVM 和非 EVM 链。在基础设施领域，包括： 1、Aggregata：旨在扩大 AI 数据的去中心化价值，由 DePIN 驱动的聚合提供支持。 2、Nesa：轻量级的 Layer-1，使用 ZKML 链上对需要高度隐私、安全性和信任的查询执行关键的 AI 推理。 3、Nimble：一种可组合的 AI 协议，使 ML 模型和数据能够由 AI 代理、数据提供者和计算资源组合和使用。应用层包括： 1、Aspecta ：一个人工智能驱动的平台，适用于开发者经济的新范式，为个人开发者和生态系统的发展提供支持。 2、Holoworld：一个去中心化的人工智能角色市场和社交平台，任何人只需点击几下就可以创建强大、智能的人工智能机器人。 3、Opinion Labs：正在建立动态意见和持续预测市场。 4、Side Quest ：一个拥有强大社区的游戏和社交平台。 5、Story Chain：一款基于人工智能的创新型多层次 dApp，可促进协作讲故事。 6、Tilted ：一个类似 TikTok 的市场，用于在链上购买、销售和交易游戏资产、皮肤和 NFT。