ERC404项目全线暴跌后,改良协议登场,能带来二次价值发现吗?

Odaily星球日报Publicado a 2024-02-12Actualizado a 2024-02-12

Resumen

PANDORA较高点腰斩,这些新协议能否提振叙事?

原创 | Odaily星球日报

作者 | 南枳

ERC404项目全线暴跌后,改良协议登场,能带来二次价值发现吗?

上周,ERC 404 成为最热门话题之一,以太坊 Gas 也因各类 ERC 404 项目的轮番推出居高不下,高峰期平均 Swap 费用需要约 40 ~ 50 USDT。然而到了本周,ERC 404 热度开始快速下降,龙头项目 PANDORA 相较最高峰下跌约 52% ,其余 ERC 404 项目则出现更早、更大的跌幅,部分几近归零。

今日,部分项目宣布推出改良版 ERC 404 协议,新的迭代是否能提振社区信心?Odaily星球日报将于本文进行新协议整理,以及 Pandora 近期进展的梳理。

改良 ERC 404 

ERC 404 存在什么问题?其中对于用户感受最直观的便是 Gas 问题,相较常规的 ERC 20 代币交易其费用高出不少,并且在以太坊等性能有限的网络上更为突出。慢雾余弦曾表示:“ ERC 404 还搞了个白名单 whitelist 机制来让一些 pairs/routers 等不必频繁折腾 NFT,处理好 FT 交易即可,反正账都在合约里,消失不了。“另一方面,因为 ERC 404 属于新机制,还有潜在的安全性风险,虽目前尚未有大规模攻击事件,但有待时间检验。

Miner 推出改良协议 ERC-X

Miner 在 ERC 404 的基础上推出了新协议 ERC-X,同时发布了基于 ERC-X 构建的首个代币 MINER,设有 100, 000 枚 TOKEN/NFT 的供应总量。Miner 表示,ERC-X 是一个优化后的实验性标准,其特点与功能如下:

  • 多功能性:可以 ERC-X 中使用多个标准的功能,包括 ERC 20、ERC 404、ERC 721、ERC 721 A、ERC 721 Psi、ERC 1155 和 ERC 1155 Delta 等。

  • 低 Gas:ERC-X 具备高 Gas 效率,能够根据项目规模充分扩展。

(Odaily 注:此前 ERC 404 无法适配高总量代币,因为高总量意味着单币价格不高,但 ERC 404 将造成单位数量下的高 Gas)

  • 全面性、可变性:重新引入了 ERC 20 的所有标准功能。通过几行更改,代币的 NFT 对应项可以显示为 ERC 721 或 ERC 1155 。

ERC404项目全线暴跌后,改良协议登场,能带来二次价值发现吗?

其中最关键的改进便是其 Gas 友好性,实现了原本 ERC 404 无法适配的高代币总量需求。Miner 表示,最初计划将 MINER 的总供应量设置为 100 万个,但 Metamask 一直崩溃,因为它无法处理一次购买超过 3 万个 NFT,因此决定将供应量限制在 10 万个。

ERC 404 Plus

比特币链游项目 Bitcoin Cats于 X 平台发文表示,为 ERC 404 提出一个优化协议,名为 ERC 404 Plus 。ERC 404 Plus 让用户可以更灵活地在 NFT 和 FT 之间进行选择,并大大减少交易和转账所需的 Gas。

BitcoinCats 404 是使用 ERC 404 Plus 协议创建的第一个资产,只能通过在截止日期之前桥接 Ordinals 的 BitcoinCats NFT 来铸造。转换后的 NFT 分发与销售将于 2 月 16 日开启,转换后的 NFT 能够在 Uniswap、Blur、OpenSea 等平台交易。

(Odaily 注:BitcoinCats NFT 是 Bitcoin Cats 于 1 月初发售的 BTC NFT 项目,存在前期持有者的抛压风险,请读者谨慎参与。)

除以上信息外,Bitcoin Cats 并未公布更多特性细节,但可以看到核心的改进方向仍是减少交易 Gas 。

ERC404项目全线暴跌后,改良协议登场,能带来二次价值发现吗?

龙头 Pandora 在做什么?

ERC 404 的龙头项目 Pandora 近期在维护代币流动性方面进行了一定工作。例如在今日,Pandora Labs宣布Wasabi Protocol 成为其 404 生态合作伙伴,Wasabi 是一款链上杠杆交易协议,允许用户以最大三倍杠杆做多或做空 PANDORA。

ERC404项目全线暴跌后,改良协议登场,能带来二次价值发现吗?

而昨日,Pandora 还为代币锁定了大量的流动性,包括 5623 枚 WETH 和 725 枚 PANDORA,其中 ETH 的价值约为 1400 万美元。

最重要的是,Pandora 宣布了一系列改进方向,包括:

  • 系统化改进 ERC 404 设计和实现,以更接近标准化;

  • 增加支持永久代币 ID 的池子;

  • 改进的分支逻辑以减少某些常见转移情况的 Gas 费用

  • 改进的集成功能和外部协议的发行;

  • 通过支持 EIP-2612 实现代币许可。

Pandora 表示,在完成这些改进后,将能够更好地与外部协议对接,并实现更多的用例。

结论

图币一体的概念虽不是 Pandora 首次提出,但 ERC 404 的爆火证明了其实现思路具备一定价值。在解决高 Gas 的痛点问题后,有望通过更多的用例支持实现价值的二次发现。

Lecturas Relacionadas

Vitalik's Algorithmic Stablecoin Vision: Interpreting the Mechanism and Challenges from an Options Perspective

Vitalik Buterin's recent algorithmic stablecoin proposal envisions using an option-like mechanism to create a stablecoin without the liquidation risks inherent in traditional collateralized debt position (CDP) models. The design splits one unit of ETH into two components: a 'stable' leg (P) that maintains value up to a certain strike price, and an 'upside' leg (N) that captures any appreciation above that price. Together, they always sum to one ETH, eliminating the need for debt or liquidation mechanisms. From an options perspective, the stable leg essentially functions as a synthetic, covered call position. However, significant challenges exist. For the stable asset to maintain its peg, it must continuously roll deep in-the-money call options, leading to potential rollover slippage, predictable trading paths vulnerable to front-running, and liquidity issues. Crucially, the system's scalability depends on a constant demand for the upside leg—a form of leveraged ETH long position without funding rates or liquidation risk. It's unclear if such persistent, specific demand will materialize from speculators or market makers who have simpler alternatives like perpetual swaps. The author, drawing from experience with Rysk, argues that DeFi options have struggled as standalone trading products due to complexity and fragmented liquidity. Their potential lies instead as foundational infrastructure underpinning more complex financial primitives like stablecoins, structured yields, or index products—transforming from a direct product into a core pricing and risk distribution engine for the next generation of on-chain finance.

marsbitHace 1 hora(s)

Vitalik's Algorithmic Stablecoin Vision: Interpreting the Mechanism and Challenges from an Options Perspective

marsbitHace 1 hora(s)

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

marsbitHace 4 hora(s)

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

marsbitHace 4 hora(s)

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbitHace 4 hora(s)

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbitHace 4 hora(s)

Trading

Spot
Futuros
活动图片