IOBC:2023年关于加密行业的10个预测

Odaily星球日报Опубликовано 2023-01-19Обновлено 2023-01-19

Введение

熊市的寒意袭卷了几乎一整年。

2022 全年 Crypto 行业基本处于挤泡沫的过程,Terra 崩盘、3AC 倒闭、FTX 暴雷……熊市的寒意袭卷了几乎一整年。2023 新年伊始,IOBC 团队对 2023 年提出了以下 10 个预测:

1、Layer 2 扩容板块随着各头部 ZK Rollups 的主网上线将在二级市场引爆

zkSync、StarkNet、Scroll 都将集中在 2023 年 Q1、Q2 上线主网,今年 Crypto 二级市场的主线行情可能是 Layer 2 及围绕 Layer 2 的相关基础设施。

2、将会出现专注于 Ethereum 生态的数据可用性层的模块化区块链项目

ETH 2.0 后,BeaconChain 成为 Ethereum 的共识层和结算层,原以太坊主网和 Rollups 成为执行层,Blob 取代 Calldata 承接一部分 Layer 2 的数据可用性,行业内将会出现专注于 Ethereum 生态的数据可用性层头部项目。

3、MEV 成为以太坊 PoW 转 PoS 之后除区块奖励之外的重要利润来源

以太坊 1.0 时期是 PoW 模式,矿工有矿机和电费成本,挖矿是一个比较契合传统商业模式的产业。以太坊 2.0 时期 PoW 转变为 PoS,通过 Staking ETH 来挖矿,随着以太坊生态的愈加繁荣、链上交易活跃,MEV 将成为验证者除区块奖励之外的重要利润来源。

2023 年全年,在钱包、应用层面获取订单流,进行套利并捕获到的 MEV 价值将超过 1000 万美金。随着应用层流量与交易量的加大,以及智能合约钱包专属交易池功能的出现,MEV searcher 以及一些 MEV 项目会与 C 端应用合作,获取用户订单簿,进入私有交易池,捕获可能的 MEV 价值,再将 MEV 价值部分返还给项目方和应用。

4、Appchain/RollApps 将会出现独角兽级别的「胖应用」

dYdX 迁移到 Cosmos 成为 Appchain 之后能够更加成功的话,有可能会带来应用层 Appchain/RollApps 的风潮。

5、DAO 领域将会出现类似 ICO、Yield farming 类的新融资示范

2007 年的 ICO 模式, 2020 年 DeFi 的流动性挖矿模式,乃至 2021 年的 GameFi 打金模式,都先后带来了一波融资潮。基于 Syndicate 的 Investing DAO 发展势头正劲,许多项目方也开始试图从 Syndicate 的 Investing DAO 融资,有可能 DAO 领域会出现区块链行业的融资新模式。

6、将会出现「钱包战争」

2023 年将会出现第一个日活数量超过 50 万,或钱包地址超过 200 万的智能合约钱包;抑或是每日处理签名数量超过 600-800 万次的 MPC 钱包。同时, 2023 年全年 MPC 和智能合约钱包被黑资产损失超过 1000 万美金。

在中心化交易所和 CeFi 不断出现信任危机,dapp 吸引 web2 用户到 crypto 叙事盛行的当下,拥有社交登录 / 社交恢复,EVM 多链 gas 垫付、内置 defi yield/dex 功能智能合约钱包,或是有相当数量 B 端使用的 MPC 钱包,将会成为下一个用户和流量的聚集点。

在众多钱包项目兴起的同时,代码安全与团队操作安全将会成为主要问题,将会出现不止 1 个新钱包项目资产被盗的情况。

7、将会出现第一个日活超过 50 万的 Crypto 游戏

2023 年将会出现第一个日活超过 50 万,全游戏生命周期在发行代币后持续 8-12 个月不出现暴跌(大于 90% )的 crypto 游戏。

在硬核休闲游戏(塔防、卡牌、roguelike、SLG 等)与 crypto 结合的领域,今年在二、三季度会有多个高质量游戏进行公测,预计其中会有能够同时兼顾游戏经济、代币模型、游戏质量的单品游戏出现。

8、将会出现垂直的 data analytics + AI 应用或组件

随着应用层 gamefi,socialfi 等 xfi 的爆发,链上的数据更为丰富和垂直,将会出现专业性的数据分析平台、组件或工具。这些应用层的行业数据分析,更有利于行业从业者从更专业的角度,刻画用户画像,分析用户行为并延展到整个 crpyto 市场。

9、X to earn 将会迭代转型新模式

2022 年 X to earn 被认为是一种新的死亡螺旋模式,但是通过 to earn 的模式,一定程度上培养了用户的习惯和粘性,基于用户流量有可能会复刻互联网的转型模式。这类模式转型在 2023 年值得期待,StepN 和 Axie 的新模式以及新的衍生模式值得关注。

10、 Defi 衍生品赛道将会迎来戴维斯双击时刻

钱包有信用,信用有价值。随着链上应用数据的丰满,分析用户数据和行为越来越可行。2023 年可能会出现新的信用模型,在一定范围内形成标准,从而贯穿整个 defi 衍生品和其他 crypto 应用,进而刺激 DeFi 衍生品赛道迎来戴维斯双击时刻。

Похожее

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

Title: 55TB to 28TB? The Rumor and Panic Behind the Potential Halving of Rubin's Memory. On June 4th, a report from SemiAnalysis suggested NVIDIA's next-gen Vera Rubin NVL72 AI rack may ship with roughly 28TB of SOCAMM DRAM per rack instead of the anticipated 55TB, primarily using 96GB modules. This sparked a market panic, causing Micron's stock to drop over 10% on fears of halved memory demand. However, the article argues this panic is misguided for several key reasons. First, SOCAMM modules are socketed and upgradeable, not soldered. Lower initial configuration doesn't mean permanent demand loss. Second, the primary driver is a severe 2026 LPDDR5X supply shortage, not diminished need. NVIDIA is likely prioritizing rack shipments with available components. Third, with fixed total LPDDR5X supply, using less per rack could allow NVIDIA to ship *more* racks, not necessarily reducing overall memory orders. Micron's sharp drop was also attributed to a broader semiconductor sell-off triggered by Broadcom's earnings, with the SemiAnalysis report providing a convenient narrative for profit-taking after Micron's massive rally. In summary: the report on lower default configurations is likely accurate, but interpreting it as a demand collapse is wrong. The real risk for Micron lies in its reportedly minimal HBM4 share for Rubin, not in potentially flexible SOCAMM demand. The sell-off appears more like a correction amplified by coinciding negative catalysts.

marsbit2 мин. назад

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

marsbit2 мин. назад

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

Exclusive report: Embodied AI company "Yuanli Lingji" recently completed a new round of financing from major AI model firms including Zhipu AI, Stepfun, and SenseTime, alongside continued investments from industrial backers like Huaqin and SAIC Hengxu. Founded in March 2025 by Tang Wenbin, former co-founder and CTO of Megvii, Yuanli Lingji is a general-purpose embodied AI model company. In a notable move, the company has merged with logistics robotics firm "Atomix" (formerly known as Yuanli Juhe) through a share acquisition. Atomix, which originated from Megvii's logistics robotics business led by Tang in 2016 and was spun off in July 2024, has grown to become the world's second-largest supplier of pallet shuttle robots, with annual revenue nearing 1 billion RMB and over 500 projects globally for clients like Uniqlo and CATL. This merger aims to break the industry's "data deadlock" by combining Atomix's extensive real-world operational data from more than 20 countries with Yuanli Lingji's model training capabilities. The company's embodied AI model "DM0" utilizes a cross-domain training approach, integrating internet semantics, autonomous driving rules, and robotics data to achieve hardware-agnostic, precise manipulation even with a compact 2.4B parameter size. The collective investment from key AI players and the strategic merger signal a shift in the competitive landscape, as major model companies pivot from language tokens to physical actions ("from Token to Action"). The industry is entering a consolidation phase where hardware, AI models, data, and application scenarios converge to scale embodied intelligence, a trend mirrored by recent moves from giants like ByteDance and Skild AI.

marsbit9 мин. назад

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

marsbit9 мин. назад

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

U.S. Stocks Split: Dow Hits Record High as Nasdaq Slips; Broadcom's Plunge Sparks Rotation On June 4, the U.S. stock market saw a sharp divergence. The Dow Jones surged 875 points (+1.73%) to a record high of 51,561.93, while the Nasdaq Composite edged down 0.09%. The S&P 500 rose 0.41%. The primary catalyst was a sharp sell-off in AI-related chip stocks, led by Broadcom (AVGO). Despite reporting a 143% year-over-year jump in AI semiconductor revenue to $10.8 billion, the company's shares plunged about 14%. This was triggered by its maintained long-term AI revenue target, which failed to meet heightened expectations for a stock that had gained 55% this quarter and traded at a high P/E ratio. The slide dragged down the broader semiconductor sector and the technology板块. Conversely, money rotated into sectors like Healthcare (+3.14%), Financials (+2.67%), and Real Estate (+1.87%). UnitedHealth and Goldman Sachs were major contributors to the Dow's gains. The rotation was attributed to a search for value outside overheated tech names and a slight dip in Treasury yields. In other major news, SpaceX confirmed its IPO for June 12, targeting a record $75 billion raise at a ~$1.75 trillion valuation. Additionally, initial jobless claims rose to a four-month high, adding nuance to the labor market narrative ahead of the key May non-farm payrolls report. The day's action signaled that while the AI growth story remains intact, excessive valuations are prompting a market reassessment. Funds are moving, at least temporarily, from high-flying tech to more defensive and value-oriented sectors. The sustainability of this rotation hinges on upcoming economic data, particularly the jobs report, and the market's absorption of the massive SpaceX IPO.

marsbit12 мин. назад

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

marsbit12 мин. назад

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbit21 мин. назад

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbit21 мин. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Manyu: восходящая мем-звезда на Ethereum, готовая открыть новую эру культуры Shiba

Manyu - это мемтокен на Ethereum, который приносит децентрализованную культурную и развлекательную ценность через вирусное влияние в соцсетях и вовлечённость сообщества.

1.9k просмотров всегоОпубликовано 2025.11.27Обновлено 2025.11.27

Manyu: восходящая мем-звезда на Ethereum, готовая открыть новую эру культуры Shiba

Неделя обучения по популярным токенам 14: Glamsterdam — самое ожидаемое обновление Ethereum в 2026 году

Ordinals/Runes по-прежнему стимулируют доходы от комиссий за блоки и активность разработчиков, рассматриваются как отправная точка «нативной эмиссии активов» в сети.

1.5k просмотров всегоОпубликовано 2026.04.29Обновлено 2026.04.29

Неделя обучения по популярным токенам 14: Glamsterdam — самое ожидаемое обновление Ethereum в 2026 году

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на ETH (ETH) представлены ниже.

活动图片