Den · 22

过去 1 小时全网爆仓超 2500 万美元,主爆空单

比推消息, Coinglass数据显示,过去1小时全网爆仓2570.40万美元,其做单爆仓331.11万美元,空单爆仓2239.30万美元,此外ETH爆仓金额达到1100.87万美元。<img 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6大类超250个活跃项目 Solana生态最新全景图及代表项目一览

6大类超250个活跃项目 Solana生态最新全景图及代表项目一览

作者:Jay & Suyu,Four Pillars;翻译:金色财经xiaozou1、前言互联网基础设施的发展水平与各种应用的出现有着密切关联。在互联网的早期阶段,带宽有限,网络通信标准非常低效,导致网页加载时间较长,用户对多媒体内容的可及性较低。在这种环境之下,聚焦于简单的web应用和基于文本的信息交换的开发占主导地位。然而,随着宽带互联网的出现以及数据网络标准技术的进步,互联网的数据处理效率得到了极大提升。这使得实现能够处理大量数据以及具有多种功能的应用程序成为可能,各种高带宽应用应运而生,例如Netflix等视频流平台、在线游戏、大文件共享、实时通信和协作工具。换言之,互联网基础设施的发展促进了新的应用和服务的发展,从根本上改变了人们的数字内容消费方式。我们似乎从Solana身上再次看到了这种势头——在自主网发布以来的过去四年里,Solana已经迅速发展成为一个拥有超700个去中心化应用程序的生态系统。这要归功于它在逐步改善适度去中心化的同时,还稳步优化了网络吞吐量和消费者/开发人员友好的功能。因此,Solana生态不仅只是庞大,而且还提供了相对领先于其他生态的实用程序。在这篇关于Solana生态系统的文章中,我们的目标是通过对250多个最活跃的项目(从基础设施层到消费者应用程序)进行分类和策划,形成对快速发展的Solana生态系统的概述。*生态系统项目分为六大类:“基础设施和开发工具”、“金融”、“去中心化物理基础设施网络(DePIN)”、“人工智能(AI)”、“消费者应用”和“社区与文化”。2、基础设施和开发工具正如之前一篇关于Solana Mega的报告中提到的那样,影响整个Solana生态系统(优先考虑可组合性)中应用程序的性能和协同的最重要因素是在协议级别开发的各种基础设施技术。除了用于交易处理的SVM技术栈之外,Solana丰富的工具包、程序库和标准集通过对Solana平台更高效、更有效的利用来支持各种应用程序的开发。值得注意的例子有:Solana Program Library,这是一个包含各种功能的程序库,如代币创建和管理(SPL代币程序)、代币交换和借贷协议;Anchor Framework,这是最流行的开发框架,尤其受到Solana的新手开发人员或那些想要快速构建部署应用程序的开发人员的青睐;GameShift,这是一个旨在简化区块链游戏创建过程的框架。此外,像Token Extension and Compression(代币扩展和压缩)技术等标准集消除了通信效率低下的问题,使需要处理大量数据或实现复杂逻辑的应用程序得以实现。在可用性方面,与支付相关的API模块尤其值得关注,这些模块是简化加密货币支付的JavaScript库,以及Blinks (Blockchain + Links)解决方案,该解决方案以URL形式定义链上交易,允许它们在各种应用程序中集成和使用。此外,在网络稳定性方面,除了Solana Labs和Jito Labs的客户端之外,Firedancer、Tinydancer和Agave等客户端多样性项目也在进行中。此外,还有很多项目正在努力通过SPE(Solana Permissioned Environments)或各种协议在多链环境下灵活利用SVM执行环境,使单个产品能够构建自己的生态系统或提高现有生态系统的效率。以下是“基础设施和开发工具”领域的一些项目的名单,想要了解Solana生态的未来发展,这些项目值得密切关注。(1)BackpackAnchor开发框架的开发公司Coral创建了Bac...

737天前dy zhang#DeFi #NFT #Solana #金色财经
加密市场震荡后,资金投资重心转向 Solana 与 DeFi

加密市场震荡后,资金投资重心转向 Solana 与 DeFi

本周加密货币市场大幅下跌后反弹,比特币跌幅超过15%,以太币也受到影响。此次抛售由经济担忧和地缘政治因素引发,加密货币基金仍关注基本面,特别是Solana和DeFi领域。多家加密基金仍在投资比特币,同时增持Solana。稳定币和DeFi领域有望在全球利率下调周期中获得增长。个人投资者也在增加对DeFi资产的配置。DeFiance管理着8位数资产规模的流动基金,Pantera Capital投资了多个项目,包括Solana、Toncoin、Hivemapper、Geodnet、Near和Bittensor。Founders Fund的Joey Krug也增加了对DeFi资产的配置,认为山寨币已触底,提供了增加敞口的机会。他还减少了比特币的持仓。原文标题:The Funding: Crypto liquid funds bet big on Solana原文作者:Yogita Khatri原文来源:theblock编译:火星财经,Daisy本周早些时候,加密货币市场大幅下跌,随后反弹,比特币下跌超过 15%,以太币经历了自 FTX 崩盘以来的最大跌幅。此次抛售是由更广泛的经济担忧和地缘政治因素引发的,增加了市场的不确定性。出于好奇,这些事件是否引发了加密货币基金策略的重大转变,我联系了管理流动性和对冲基金的领先加密货币投资者,了解他们未来的计划。有趣的是,尽管市场最近动荡不安,但几家加密基金仍继续关注基本面,对Solana (SOL)和 DeFi 领域持强烈看涨立场。Asymmetric Financial 创始人、首席执行官兼首席信息官 Joe McCann 告诉我,他的公司管理着两只流动基金,资产管理规模 (AUM) 分别为 9 位数和 8 位数,他们仍在投资比特币,同时增持 Solana。“我们持有的以太坊为零”,麦肯说:“我认为未来完全没有理由继续持有它。Solana与 ETH 相比,SOL 刚刚突破至历史新高,验证了我们的论点,即 SOL 将继续大幅超越 ETH。”Syncracy Capital 联合创始人 Ryan Watkins 也表达了同样的看法,他强调 Solana 相对于以太坊而言被低估了。他告诉我,“Solana 现在在大多数有意义的指标上都可以与以太坊相媲美,但交易价格仅为以太坊的 1/5。”Watkins 还对 Solana 的生态系统表示乐观,称与以太坊的生态系统相比,它的定价同样“错误”,“少数协议产生了 1000 万至 5000 万美元的收益,同比增长 100% 至 1000%,交易价格为标准普尔 500 指数的倍数——仅为以太坊同行的一小部分。”沃特金斯还指出了 DeFi 和基础设施领域,并指出 Syncracy 观察到这些领域的收益为 8-9 位数,并且同比增长率达到三位数。“我们非常看好这些类别领先的现金流资产,”他说。沃特金斯补充说,Syncracy 管理着一只流动基金,资产管理规模为 9 位数。同样,Multicoin Capital 的执行合伙人 Kyle Samani 重申了该公司对 Solana 的承诺,同时也表达了对去中心化物理和虚拟基础设施网络项目(DePIN 和 DeVIN)以及稳定币的信心增强。Maven 11 的投资组合经理 Ruben van den Eshof 指出,全球利率下调周期是稳定币和 DeFi 增长的催化剂。他告诉我,随着预期进一步降息,稳定币市场可能会进一步增长,这将极大地有利于 DeFi。Maven 11 正在相应地进行定位,将资金分配给 Maker 等稳定币和 Maple...

740天前dy zhang#DeFi #FTM #MKR #REP #SOL #Solana #以太坊 #以太坊 #比特币
Layer Zero:去信任化跨链互操作的革命还是理想?

Layer Zero:去信任化跨链互操作的革命还是理想?

LayerZero 是一种互操作性协议,使用新技术立即验证跨链交易连接不同的区块链,克服流动性碎片化的挑战,旨在为独立的区块链网络之间的通信创建路径和平台,使其能够共享资产、状态、流动性等。LayerZero 成立于 2021 年,由 Bryan Pellegrino(联合创始人兼首席执行官)领导的工程师团队以及 Caleb Banister(联合创始人)和 Ryan Zarick(联合创始人兼首席技术官)共同创立。当时,由于众多区块链孤立运行,用户被迫分割其资源和流动性,从而限制了他们在封闭生态系统之间转移流动性和状态的选择。所以,LayerZero Labs 的使命是解决区块链之间的互操作性问题,为去中心化应用程序(dApp)开发者提供无需中介即可在多个区块链上进行消息传递的能力。LayerZero 采用了一种创新的架构,包括超轻节点、独立的预言机和中继器,以安全和高效地在链之间传输消息。1.运作原理LayerZero 在每个支持的链上使用一组称为 LayerZero 端点的智能合约。除了连接 LayerZero 支持的所有链之外,它们还可以部署在新链上以将其纳入网络。跨链借贷就是一个例子,其中交易详细信息从一个区块链(如以太坊)发送到另一个链(如 Avalanche)上的 LayerZero 端点,由独立的链下实体、Oracle(预言机) 和 Relayer (中继器) 促成。具体而言,LayerZero 协议运行的主要组件包括:中继器(Relayer):负责从链A到链B发送交易证明和交易数据,同时匹配链A和链B的区块头哈希。预言机(Oracle):与Chainlink等去中心化预言机合作,为LayerZero网络提供可靠的数据传输。端点(Endpoints):一组智能合约,分为通信器、验证器、网络和库模块。库模块包含了每个区块链网络的代码,当需要添加新网络时,只需更新库模块。是和用户或者应用直接交互的设施,或者也可视为处理逻辑的一系列智能合约。这些端点负责处理消息传输、验证和接收。它们的目的是在用户使用协议发送消息时保证有效传递。LayerZero 的消息传递过程依赖于两个主要实体:预言机和中继器。当用户代理(UA)从链A发送消息到链B时,消息首先通过链A上的端点传递。然后,该端点通知指定的预言机和中继器关于消息及其目标链的详细信息。预言机将区块头传递到链B上的端点,而中继器则提交交易证明。在接收链上验证该证明后,消息被转发到最终的目标地址。LayerZero 的安全性基于这样的理念:如果两个独立实体可以在一条链上确认交易,那么另一条链就可以信任并执行该交易。在收到交易详细信息后,Oracle 会创建一个区块头,而 Relayer 会独立生成一个证明。如果双方都同意,则该交易被视为有效并在第二条链上完成。2.功能及其生态用例1)桥接桥接是目前最流行的互操作性解决方案。跨链桥接允许资产持有者在不同的 Layer 1 和 Layer 2 平台之间转移资产。投资者将资产桥接至另一个网络的原因有很多,例如利用目标链上的费用结构,或从目标链上的应用程序中获益。得益于更便宜的权益证明 (PoS) 链(如 Polygon、Fantom 和 BNB Smart Chain (BSC)),桥接比以往任何时候都更加重要。但除了已经讨论过的安全性差以外,当前的桥接平台还有不足之处。运行桥梁的资本密集度在于需要为每个桥接方向开发新的基础设施。例如,支持 5 个网络的桥接平台需要编写 5 种不同的代码并运行 5 条中间链或轻节点。LayerZero 声称可以解决这...

775天前dy zhang#Injective #LayerZero #Solana #Sui #互操作 #以太坊 #链茶馆
牛市大不同,“山寨季”为何摇身变为“Meme 季”?

牛市大不同,“山寨季”为何摇身变为“Meme 季”?

与之前牛市相比,本轮牛市有很大不同,这都表现在哪些方面?机构、加密大户、加密交易所、散户以及项目方之间又上演了一场怎样的精彩博弈?对于本轮Meme热潮,市场出现明显分歧,如何看待本轮Meme热潮发展?未来,加密市场下一阶段将如何发展?空投专业化,项目方与撸毛大户斗智斗勇空投诞生于上轮牛市,经过发展,项目撸毛逐渐走向专业化,项目方和大户(专业撸毛者)之间上演了一场激烈博弈。近期,多个知名项目开始进行大规模空投,市场不再是叫好一片,争议声一直未曾断绝,其中ZKsync、Layerzero、以及Taiko颇具代表。Taiko选择不公布空投规则,市场骂声一片,项目方也不得不下场解释。Taiko 联合创始人兼 CEO Daniel Wang 在 Discord 发文回复称,规则不透明是因为透明也无法解决分歧,对‘公平’的定义每个人都有很强的主观性,我们无法统一,也不试图达成共识。ZKsync为曾经Layer2四大天王中发币最晚的ZK系龙头,最受期待,但也承受着巨大的争议。有参与者表示,“整体的女巫率很高,毕竟几百万个地址就留了不到 70 万。个人地址的命中率在 15% 左右,全是低保,加上 ZK 价格那么低,也没什么意思。” 另外,从数据看,虽然zkSync桥接资产很多,但TVL仍然相对较小。Layerzero的“风闻奏事”更是深受市场评议,空投乱象尽数暴露。据 LayerZero CEO Bryan Pellegrino 此前透露,悬赏活动开始几个小时内收到了 3000 多份女巫举报报告和 3 万份申诉。在互爆制度下,乱象也开始显现。有撸毛工作室员工选择辞职举报内部账号、某项目的空投大户地址被举报、以及还有用户瞄准大户 / 撸毛 KOL 的女巫集群集中举报等,甚至市场还传出某安全机构一次性向 Layerzero 提交了 47 万个疑似女巫地址。Meme季代替山寨季,市场“互不接盘”,加密交易所骑虎难下项目方空投的直接对立者是项目方和撸毛大户,但实际上机构、散户和加密交易所也在深刻被卷入。事实上,机构、散户、以及加密交易所也在进行着一场不同寻常的激烈博弈。一般知名项目早期都会有大机构投资,比如上文提到的ZKsync、Layerzero、以及Taiko等都有众多知名投资方。其中,Layerzero的投资方包括:Animoca Brands、软银CEO Rene Marcelo Claure 、Avalanche 生态基金、Polygon 生态基金、Fantom 生态基金、Dapper Labs、Kronos Research、Ethernity、ImToken Ventures、Matrixport、Gemini 等投资机构,以及天使投资人美国橄榄球运动员 Tom Brady、歌手 Justin Timberlake 以及耐克基金会主席 Maria Eitel等。限于篇幅,本文不再一一列举。一般机构早期投资者获得代币都有一定锁定期,之前投资知名项目大多数情况下是稳赚不赔,但现在已经大不相同。这是因为大量撸毛工作室等获得空投后持有很大筹码,其抛压会严重抑制价格长期上涨。项目代币空投前,撸毛工作室制造了大量虚假交易,这很有可能使得机构投资者误判项目估值,等待解锁时其赚钱的机会在大大降低。据《比推》报道,最新数据显示,空投事件一结束,ZkSync Era 的每周收入就从年初的 137 万美元大幅下降了 93.88%,目前仅为 8.3 万美元。对于交易所而言,很多知名项目拥有众多机构投资,拥有好看的链上数据,拥有众多的持币用户,在这一众因素影响下,其不得不上线高估值...

791天前yuxishejiang#ARC20 #BRC20 #MEME #Solana #SRC20 #比特币

以太坊DenCun升级主网激活预计还有56分钟

比推消息,Beaconscan 数据显示,目前距离以太坊 DenCun 升级主网激活预计还有56分钟,当前以太坊信标链(Beacon)的时隙高度(Slot)已抵达 8626176。

892天前yijunzhong007@outlook.com#Dencun #以太坊
1kx:动态NFT项目和工具大盘点

1kx:动态NFT项目和工具大盘点

作者:0x91e2,1kx;翻译:金色财经0xjs如今,大多数NFT都代表静态资产。其媒体和元数据的不可篡改性要么是通过社交协议,要么是通过代码来强制执行的。这对于存储设计为不变的文化艺术品(静态艺术、音乐、写作、收藏品)来说是足够的,但还有一个广阔的开放设计空间用于试验动态链上资产,这些资产根据不可变的规则不断演变其外观、元数据或状态。动态性使NFT不再仅仅是静态链接和媒介,而更像是对外部因素做出响应的软件。这围绕数字商品和媒介创建了新的交互层,从而实现了更大的个人和集体表达、动态效用以及围绕数字对象的持续创新。动态 NFT 可以是编程式的(反映算法输入),也可以是交互式的(反映用户输入)。动态性是一项可以根据预期用例跨越垂直领域的功能。在艺术、游戏、身份和声望、元宇宙以及社区和品牌参与方面,我们已经见证了一系列动态NFT实验。表演艺术或概念性艺术动态收藏品可以被视为生成式艺术的一个子集,其中还包括“参数输入”多人艺术,其中铸造时间或铸造者地址被用作熵源,但NFT本身在铸造后不会更新。动态艺术NFT给收藏家带来持续的愉悦感,并作为艺术家和收藏家之间集体叙事的新媒介。随着时间、月相、链上状态或链下条件(例如Alexis Andre的720 Minutes,crashblossom的BURNER,Takens Theorem的Gaussian Timepieces,Ed Forneiles的Finiliars,Matt Kane的Gazers,Harm van den Dorpel的Mutant Garden Seeder)而自动演变的艺术。随着转移链和所有权而演变的艺术(例如Animal Coloring Book、dom.eth的Corruptions、Joan Heemskerk的Chameleon、Entropes、OG Crystals、w1nter.eth和Tyler Anglert的Watchfaces)。收藏家可以直接影响视觉效果的艺术(例如divergence的Brotchain,Mathcastles的Terraforms,John Palmer的Shields,Async Art的Forever Supper或Classic,收藏家可以更改在主要艺术品中显示的层)。周期性发布样式选项的艺术,每次发布都包含收藏家可以选择“转换”其NFT到的新限量版样式(例如Opepen)。实时生成、永不重复的视听艺术(例如404.eth的In Noise We Trust,以及DEAFBEEF的各种作品)。游戏除了作为游戏中可升级的资产外,动态NFT还可以作为游戏过程的画布,反映其媒介和元数据中的游戏状态。配合数字物理商品,NFT可以根据现实世界的活动进行更新,以解锁新的消费体验。赢得排名战斗的Axies可以获得Axie绑定的经验点(AXP),可用于“升级”Axies。这样做会同步链下游戏进度到链上,提高Axie的等级上限,并允许玩家升级Axie部件。Citadel Ships可以升级,提高其功率、速度和燃料效率。每个升级层都需要不同数量的时间和原材料(矿石)来完成。游戏的一部分是飞行员计划他们的旅行到小行星带挖矿,每个动作和游戏状态都反映在链上。“Moves”是影响世界的链上交易,例如Straylight。游戏过程在媒介上留下印记的战斗竞技场,例如Chainfaces Arena。将感染作为一种传播机制,例如FoliaVirus、Viper。收集、繁殖和合并机制产生更稀有版本,例如Avastars、VV Checks。使用链上AI的自动播放游...

1052天前dy zhang#1kx #DeFi #NFT #WEB3
晚报 | 新《终结者》剧本将由ChatGPT书写?Meta发布AI模型,速度提升4成;奔驰NFT6月7日拍卖

晚报 | 新《终结者》剧本将由ChatGPT书写?Meta发布AI模型,速度提升4成;奔驰NFT6月7日拍卖

【Meta发布Megabyte AI模型,较Transformer速度提升4成】近日Meta团队开发了一款名为Megabyte的AI模型以抗衡Transformer,据称 Megabyte解决了Transformer模型所面临的问题,并且在速度上提升了 40%。Megabyte模型将输入和输出序列划分为patch,而不是单个的 token。这种架构使得对大多数任务而言字节级别的预测相对容易。这意味着在大型网络中可以精简字符以提升效率,并且内部预测可以使用更小的模型进行。Megabyte模型的这种方法解决了当今AI模型所面临的训练速度、可靠性及硬件占用比挑战。消息来源:IT之家【突发!ChatGPT之父警告:AI可能灭绝人类,350名AI权威签署联名公开信】AI领域传出一封重要的公开信,包括「ChatGPT 之父」Sam Altman在内 350位AI权威都签署了这封联名公开信,并对当前正在开发的AI技术可能会对人类构成生存威胁担忧。这封信只有一句声明:降低人工智能灭绝的风险,应该与其它社会规模的风险(如大流行病和核战争)一样,成为全球的优先事项。签署人包括三个领先的AI公司高管:OpenAI首席执行官Sam Altman;Google DeepMind首席执行官Demis Hassabis;Anthropic首席执行官Dario Amodei。更重要的是,名单里还有Geoffrey Hinton和Yoshua Bengio两位人工智能的教父。消息来源:腾讯网【苹果正式发布WWDC23预告,暗示MR或将亮相】苹果5月31日向开发者发送电子邮件,正式预告2023年苹果全球开发者大会(WWDC23)即将召开。值得注意的是,在此次iPhone和iPad端口,活动页面均出现了“可佩戴AR设备浏览”的提示,并且有部分用户也注意到页面中VR 的“隐藏彩蛋”,市场解读这或是在暗示传闻已久的MR可能即将面世。消息来源:财联社其他新闻【OpenSea Pro推出社交交易机器人服务ProBot】NFT市场OpenSea Pro(原Gem)宣布正式推出社交交易机器人服务ProBot(@0xProBot),该服务可以监控重要交易和一些较为明显的扫货交易,所有服务均由机器人提供支持,OpenSea Pro称未来还将推出更多智能交易机器人服务。消息来源:金色财经【日本最大航空公司ANA推出NFT市场,未来计划增加NFT产品线】日本最大的航空公司全日空航空公司(ANA)与其子公司ANA Neo推出了以航空为主题的NFT市场ANA GranWhale NFT Marketplace,上线的首套 NFT 是由航拍摄影师Luke Ozawa创作的首个系列,价格为10万日元,带正片的 NFT将在拍卖会上出售。第二套NFT合集将于6月7日发布,代表全日空运营的首架波音787的NFT形象转换。消息来源:金色财经【詹姆斯・卡梅隆:新《终结者》电影剧本交由ChatGPT书写】詹姆斯・卡梅隆透露他正在创作下一部《终结者》电影的剧本,他同时表示新剧本的灵感得益于OpenAI的ChatGPT。《终结者》作为影史经典科幻电影系列,目前已经推出了6部,早在1984年的第一部《终结者》便描绘了未来世界中的 AI元素 —— 防御系统 "天网"。而詹姆斯・卡梅隆现在希望以某种方式为《终结者》电影的制作增添更多值得玩味的元素。在本周举行的戴尔技术世界2023 活动上,卡梅隆明确表示,在AI的发展方向变得更加明确之前,暂时不会完成新剧本的制作。消息来源:TheByte【Brave发布其搜索引擎...

1176天前元宇宙之心MetaverseHub#chatGPT #MetaverseHub #元宇宙

奔驰将推出受汽车概念启发的生成艺术NFT系列「Maschine」

比推消息,德国汽车制造商梅赛德斯奔驰正在与数字艺术组织FingerprintsDAO、荷兰艺术家Harm van den Dorpel合作,发布受汽车概念启发的生成艺术NFT 系列“Maschine”,该系列得到了梅赛德斯-奔驰 NXT的支持,这是奔驰的新 Web3 分支,专注于数字收藏品和虚拟体验。该系列拥有 1,000 个独特的基于以太坊的代币,并以速度和感知为主题,此次拍卖将于 6 月 7 日以荷兰式拍卖的形式开幕。根据官方推文,梅赛德斯-奔驰 NXT 还计划发布三个由创意工作室 0xNXT 策划、开发和管理的“核心”系列,它还计划将卫星和周边项目纳入其 NFT 生态系统。

1180天前Wendy#NFT #WEB3 #奔驰