LayerZero空投实锤?社区热议的“SSL证书”究竟是什么?

Odaily星球日报2023-11-05 tarihinde yayınlandı2023-11-05 tarihinde güncellendi

Özet

Arbitrum空投之前,也曾有过一模一样的操作。

原创 | Odaily星球日报

作者 | Azuma

LayerZero空投实锤?社区热议的“SSL证书”究竟是什么?

关于“LayerZero 即将空投”的流言正在各大社交媒体以及社群内疯传。

之所以在这个时间点出现如此多的猜测,是因为近期的确出现了一些潜在迹象,似乎均指向了 LayerZero 即将“搞个大的”。

比如预测市场 Polymarket 上关于 LayerZero 是否即将空投的预测中“yes”已压过了“no”;再比如基于 LayerZero 构建的上层应用 Tapioca 宣布将于 12 月 12 日进行重大更新,而该项更新的前提条件是依赖于 ZRO 进行去中心化验证;再比如与 LayerZero 团队关系莫逆的 Pudgy Penguins 首席执行官 Luca Netz 直接在 X 上喊话“已经等不及 ZRO 了”。

LayerZero空投实锤?社区热议的“SSL证书”究竟是什么?

不过综合来看,最直观、热度最高的迹象则是暂未投入使用的「layerzero.foundation」 域名于 11 月 3 日添加了 SSL 证书。鉴于「layerzero.foundation」域名与已确定归属于 LayerZero 项目的「layerzero.network」域名过往的更新频率高度一致,所以社区猜测该域名同属 LayerZero 项目管理。

LayerZero空投实锤?社区热议的“SSL证书”究竟是什么?

「layerzero.foundation」域名添加了 SSL 证书。

LayerZero空投实锤?社区热议的“SSL证书”究竟是什么?

「layerzero.foundation」域名和「layerzero.network」域名曾在今年 3 月同步更新。

LayerZero空投实锤?社区热议的“SSL证书”究竟是什么?


「layerzero.foundation」域名和「layerzero.network」域名曾在今年 10 月同步更新。

翻看 LayerZero 项目的历史动作,该项目每次在进行重大动作前,往往都会对相关域名进行此类操作,比如:

  • 2022 年 9 月 7 日官宣推出协议浏览器 LayerZero Scan, 9 月 5 日时曾为「layerzeroscan.com」域名添加了 SSL 证书;

  • 2022 年 10 月 19 日官宣推出 Aptos 跨链桥, 10 月 17 日时曾为「theaptosbridge.com」域名添加了 SSL 证书;

  • 2022 年 11 月 17 日官宣推出 Bitcoin 跨链桥, 11 月 16 日时曾为「bitcoinbridge.network」域名添加了 SSL 证书;

  • 2023 年 2 月 21 日官宣推出 Goerli 测试网跨链桥, 2 月 20 日时曾为「testnetbridge.com」域名添加了 SSL 证书;

因此可推测,LayerZero 大概率接下来会进行一些与「layerzero.foundation」域名相关的动作。

可是什么动作一般会与「.foundation」尾缀域名挂钩呢?考虑到 Aptos、ArbitrumSei 等多个项目的空投都是通过基金会网站完成,且 Arbitrum 在今年 3 月宣布空投的前两日,恰好也曾进行过与 LayerZero 完全一致的操作 —— 为「arbitrum.foundation」尾缀域名添加了 SSL 证书,所以这很难不让社区用户浮想联翩。

LayerZero空投实锤?社区热议的“SSL证书”究竟是什么?

那么,所谓的 SSL 证书究竟是什么?该证书与潜在的空投(假设真的有)又有什么关系呢?

具体而言,SSL 是 Secure Sockets Layer 的缩写,这是一种网络通信加密协议。传统 http 协议的整个传输过程是明文传输,因此很容易造成数据劫持和篡改,而 SSL 协议则可以对传输过程进行加密,从而有效防止数据遭到监听和篡改。

用最简单的话来说就是,更新了 SSL 证书,可以保证网站更加安全。

由此推导,为「layerzero.foundation」域名更新 SSL 证书或许可以表明,LayerZero 希望通过一些措施来提高该网站的安全性。

更直白的说,假如 LayerZero 真的计划通过「layerzero.foundation」域名进行 ZRO 空投,团队自然会预测到,在社区的高涨情绪下,该网站的访问量及交互量均为迎来激增,因此有必要通过改善网站安全状况,进而确保用户安全。

不过,这一切依然只是假设情况。需要明确的是,仅仅是一个 SSL 证书并不足以证明 LayerZero 一定就会空投,客观来说这只是域名所有方改进基础设置质量的一项目举措而已。

究竟该如何解读,就见仁见智了。

İlgili Okumalar

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbit1 saat önce

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbit1 saat önce

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbit1 saat önce

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbit1 saat önce

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit2 saat önce

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit2 saat önce

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit2 saat önce

Token Inefficient, Economy Tokenless

marsbit2 saat önce

İşlemler

Spot
Futures
活动图片