本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

Odaily星球日报Published on 2025-05-23Last updated on 2025-05-23

Abstract

均为0撸交互,动动小手会有福报。

原创 | Odaily星球日报(@OdailyChina

作者 | Asher(@Asher_ 0210 

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

Caldera:以太坊 Rollup 部署平台

参与理由

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

Caldera 是以太坊上的 Rollup 生态系统之一,可帮助 Web3 团队启动高性能、定制化、特定于应用的 Rollup。Caldera 的网络中已有超过 75 个模块化 Rollup,为统一 Rollup 的生态系统提供支持,这些 Rollup 共享集体网络效应,并享有更大的效率、可扩展性和安全性。

根据 ROOTDATA 数据显示Caldera 已完成两次融资,总金额达 2400 万美元,具体为:

  • 2023 年 2 月,Caldera 宣布完成 900 万美元融资,红杉资本与 Dragonfly Capital 领投,Neo、1kx 和 Ethereal Ventures,以及其他天使投资人参投;

  • 2024 年 7 月,Caldera 宣布完成 1500 万美元 A 轮融资,Founders Fund 领投,Dragonfly、红杉资本、Arkstream Capital、Lattice 等参投。

今年 2 月, Caldera 宣布将推出 Caldera 生态原生代币 ERA,将于今年晚些时候通过追溯性空投推出,以加速 Caldera 协议的去中心化,因此对于名牌进行空投的项目,虽然早期的交互任务已结束,但当下仍有交互的机会。

交互教程

STEP 1. 注册一个.ena 域名(链接:https://catalyst.caldera.xyz/domain),点击 Sign in 后连接钱包进行登录,选择“Domain”输入名字后选择“Register Domain”即可(无成本注册域名)。

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

STEP 2. Caldera 将 0.5% 的代币总供应分配给 Kaito 社区 Yappers,通过在 Kaito 社区积极互动、发布优质话题,是能以极高的性价比获得 Caldera 代币空投的途径(Caldera 在 Kaito 社区榜单数据:https://yaps.kaito.ai/caldera)。

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

D3:加速域名经济发展

参与理由

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

D3 正在构建基于域名的借贷、部分所有权、数字身份和其他金融用例的工具,其目标是将域名打造成一种代币化的现实世界资产,并构建基于域名的借贷、部分所有权、数字身份和其他金融用例的工具。D3 计划推出名为 Doma Protocol 的去中心化网络,这是一个可互操作的网络,将 .com 和 .net 等 Web2 域名扩展名与 .shib 或 .ape 等面向 Web3 的域名扩展名连接起来。

今年 1 月,D3 宣布完成 2500 万美元融资,本轮融资由 Paradigm 领投。此外,D3 此前曾在 2023 年完成 500 万美元种子轮融资。

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

D3 宣布完成 2500 万美元融资

交互教程

D3 项目 5 月 22 日在 Galxe 更新了多个社交类任务,部分任务 5 月 26 日截止,值得 0 成本参与(连接:https://app.galxe.com/quest/D3)。

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

Catena Labs:以 AI 代理为核心的“AI 原生银行”

参与理由

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

Catena Labs 致力于构建一个以 AI 代理为核心的“AI 原生银行”,已开发支持 AI 支付与身份系统的开源协议,目前已开发出一套开源协议,用于人工智能支付和身份识别。值得一提的是,该项目创始人为 Circle 联合创始人 Sean Neville

5 月 20 日,Catena Labs 宣布完成 1800 万美元种子轮融资,由 a16z crypto 领投,Breyer Capital、Circle Ventures、Coinbase Ventures 及 Tom Brady 等参投。

交互教程

进入官方链接(https://catenalabs.com/),页面下拉至底部,填写个人邮箱后点击“Sign Up”以加入早期访问资格。

本周精选交互项目:Caldera域名注册、D3银河任务、Catena Labs早期访问

Trending Cryptos

Related Reads

AI Billing Black Box Exposed: 1.7 Million Overcharged, Anthropic Refunds But Doesn’t Admit Fault

A startup named Vaudit, founded by former Oracle director Michael Hahn, audits AI bills for companies and claims to have identified approximately $1.7 million in overcharges across 60 businesses, totaling $34 million in reviewed bills. The alleged discrepancies primarily involve charges for Anthropic's Claude Code. Common issues cited include billing for newer, more expensive models when older, cheaper ones were used; charging for failed or errored requests; and "retry storms" where AI agents silently retry failed tasks, accumulating costs unnoticed. Major clients like Panasonic, HP, and Honda were among those audited. While Vaudit reports that around 80% of the disputed charges were refunded by providers like Amazon, Google, Microsoft, Anthropic, and OpenAI after申诉, the AI companies largely deny systemic problems. Anthropic stated overcharges do not appear widespread and it does not bill for uncompleted requests or errors, while OpenAI said it found no evidence of such issues affecting its customers. The situation highlights the inherent opacity and complexity of AI billing, which is based on token usage that is difficult to track and predict, especially with multi-agent, multi-model workflows. This complexity is creating a new market for third-party AI bill auditing services like Vaudit, which charges fees based on recovered amounts. Separately, Anthropic faces a proposed class-action lawsuit alleging its high-tier subscription plans deliver far less usage than advertised. The case underscores growing scrutiny over AI service pricing and transparency as major providers prepare for IPOs.

marsbit18m ago

AI Billing Black Box Exposed: 1.7 Million Overcharged, Anthropic Refunds But Doesn’t Admit Fault

marsbit18m ago

Tencent Buys Baidu Chips

China's internet giants, once defined by building closed, self-sufficient empires, are undergoing a fundamental shift. A key signal is Baidu's plan to spin off its AI chip unit, Kunlun Xin, for a Hong Kong IPO targeting a $50 billion valuation, potentially exceeding its parent company's worth. Concurrently, Alibaba's T-Head is also pursuing independence. Most significantly, reports indicate that rival Tencent has become a major customer for Kunlun Xin's chips. This move, where competitors begin procuring each other's core technologies, marks a decisive break from the past era of internal duplication and isolation. It signals the maturation of China's AI industry into a more open, specialized ecosystem. The underlying driver is the immense and clear cost of AI infrastructure, particularly the exploding demand for inference compute driven by AI agents and applications. Hardware is no longer just an internal cost center but a profitable, strategic business in itself. Globally, a parallel trend is evident as OpenAI, Google, Amazon, and others develop their own AI chips to control costs and optimize performance. The competition has moved beyond model benchmarks to a deeper, foundational war over token cost efficiency, inference cluster performance, and secure, scalable computing power. Baidu and Alibaba aren't dismantling their empires but are instead decoupling non-core, capital-intensive infrastructure to participate in and shape a larger, collaborative industrial base. The era of the all-encompassing super-app is giving way to an age of strategic specialization and open ecosystem building in the AI race.

marsbit34m ago

Tencent Buys Baidu Chips

marsbit34m ago

The Token Itself Is an Asset: Three Types of Tokenized Stocks, Which One Suits You?

"Tokenized Stocks: Three Types, Which One Fits You? For investors outside the US, buying stocks like SpaceX or Nvidia is difficult, requiring brokers, cross-border transfers, and often accredited investor status. Blockchain offers an alternative through tokenized stocks, a term encompassing three distinct products with vastly different ownership, voting, and profit rights. 1. **Full Real Ownership**: Companies like Superstate register native equity directly on-chain (e.g., Solana). Holders are on the official shareholder registry, with full voting rights, dividends, and legal ownership. This offers maximum rights but potentially less DeFi flexibility. 2. **SPV-Backed Tokens (Surrendered Ownership for DeFi Composability)**: Issuers like Backed (xStocks) and Ondo use offshore Special Purpose Vehicles (SPVs) to hold underlying shares 1:1 and issue tracking tokens. Investors get price exposure and dividends (reinvested as more tokens) but hold a claim on the SPV, not direct stock ownership. This enables use as collateral in DeFi protocols (Kamino, Morpho) and 24/7 minting/redemption, but carries SPV counterparty risk (highlighted by the PreStocks collapse). 3. **Perpetual Futures (Pure Price Speculation)**: Platforms like TradeXYZ (on Hyperliquid) and Ostium offer perpetual contracts. These are synthetic derivatives with no underlying stock ownership, using funding rates to track spot prices. They require only a price oracle, allowing extremely fast listing (e.g., SpaceX pre-IPO) and high leverage, attracting speculators. Their trading volume far exceeds tokenized spot products. The core value of tokens is that they don't need to replicate full stock ownership. Most retail investors never vote. Tokenization creates layered financial tools: full equity for institutions, composable tokens for DeFi users, and perpetuals for leveraged traders."

marsbit34m ago

The Token Itself Is an Asset: Three Types of Tokenized Stocks, Which One Suits You?

marsbit34m ago

AI as the Boss: Nearly Bankrupts 10 Companies...

A recent study from Princeton University tested 14 AI models, including large language models (LLMs) and a rule-based algorithm, in a simulation where they acted as CEOs of a virtual SaaS startup over 500 days. The goal was to grow an initial $1 million capital. The results were stark: only four "CEOs" ended with a profit. The top performer was Claude Fable 5, multiplying the capital 47-fold to $47.15 million. Claude Opus 4.8 and GPT-5.5 followed. Notably, the fourth profitable entity was a simple, pre-programmed rule-based algorithm, which outperformed many advanced LLMs with $15.76 million in profit. Five other models, including several major LLMs, went bankrupt before the simulation ended. Key takeaways from the research highlight that successful AI CEOs demonstrated a tendency for exploration and adaptation over caution. They excelled in discovering hidden information, predicting future cash flow, adapting quickly to changes (like competitor moves), and engaging in strategic "if-then" planning. The study also found that equipping LLMs with programming-agent frameworks, optimized for coding tasks, actually harmed their performance in this CEO role, suggesting a need for domain-specific adaptations. The article concludes by contrasting AI's current operational proficiency within defined frameworks with the type of visionary, intuitive decision-making—exemplified by figures like Steve Jobs—that truly drives transformative business strategy. This critical "matrix-drawing" capability, it argues, remains uniquely human.

marsbit44m ago

AI as the Boss: Nearly Bankrupts 10 Companies...

marsbit44m ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片