Polygon 与 Aave 口角背后:只有竞争,没有共生?

链捕手Pubblicato 2024-12-20Pubblicato ultima volta 2024-12-20

作者:Yangz,Techub News

 

近日,Aave Chan Initiative (ACI) 创始人 Marc Zeller 发起社区提案,提议调整 Polygon 上 Aave V2 和 V3 的风险参数,并明文「鼓励从 Polygon 迁移」。作为 Polygon 上 TVL 最高的应用(DeFillama数据显示,撰文时,Polygon 总 TVL 约 12.1 亿美元,其中有约 4.5 亿美元由 Aave 提供 ),Aave 此举立刻引发了行业关注,也爆发了 Polygon 团队与 Aave 团队间的口角之争。

Polygon 联合创始人 Sandeep Nailwal 指责 Aave 领导层「吃不到葡萄说葡萄酸」,称「这种行为极具垄断性和反竞争性,且不符合 Web3 的精神。」而 Aave 创始人 Stani Kulechov 则回应称,Polygon 的这种行为实为「恶人先告状」,在用户普遍反对的情况下,迅速造谣并「甩锅」给 Aave 领导层。

那么,这场突发口角的根源在哪?究其原因,这一切都源于 Polygon 社区发布的一项 Pre-PIP 改进提案。

12 月 12 日,Allez Labs 与 DeFi 协议 Morpho 和 Yearn 合作起草了该提案。提案称,目前 Polygon PoS 跨链桥上有约 13 亿美元的稳定币储备(DAI、USDC 和 USDT)处于闲置状态,按目前的基准借贷利率计算,这就相当于每年约有 7000 万美元的收益是被浪费的。因此,三者提议将这些稳定币储备部署到各种收益策略的借贷协议中,并启动新的生态激励计划,以扩大 Polygon PoS 和 AggLayer 的 DeFi 生态。

Polygon与Aave口角背后:只有竞争,没有共生?

具体而言,该提案提议将 DAI 兑换成 Maker 的 sUSDS,并将 USDC 和 USDT 存入 Morpho Vaults 赚取收益。此外,Allez Labs 将作为风险管理者对后续其他可能的 Morpho Vaults 进行风险分析。而 Yearn 将作为生态激励计划的管理者,为每个获批资产创建一个 Polygon 生态 Yearn Vault,并利用 Morpho 市场和 sUSDS 策略获得的收益奖励这些 Vault 的存款者。

乍一看,这一提案似乎并无什么不妥。但在 Aave 领导层看来,该提案之下隐藏着「巨大风险」。明面上,就像 Marc Zeller 引用的历来跨链桥漏洞给 DeFi 生态造成损失的各种例子所反映的,这份提案对 Aave 来说有着资金安全风险。其次,正如大家所看到的,该提案的发起人就是该提案三个最主要的受益者。作为 Polygon 生态中的 TVL 排名第一的应用,Aave 可能感受到了「被忽视」或「被背叛」的滋味。

此外,Stani Kulechov 在其回应中指出,这项提案其实是 Polygon 与上述三方「暗通款曲」后的结果,且有消息称,Polygon 因此完成了巨额代币交易。Stani Kulechov 表示,Polygon 用户从一开始就对该提案表达了不满,而 Polygon 领导层今日才「假惺惺」地称自身也不支持该提案的说法,只是在「编造借口」。为了保护用户资产安全,Aave DAO 才提出了「退出 Polygon」的提案。

Polygon与Aave口角背后:只有竞争,没有共生?

然而,这一出于「保护用户安全」的提案在 Polygon 眼里却是「吃不到葡萄说葡萄酸」。Polygon 联合创始人 Sandeep Nailwal 在就此事的回应中表示,当这一预案首次提交讨论时,Aave 领导层曾大力游说以确保跨链资金用于在 Aave 部署。而在 Polygon 治理门户网站上公开征求建议书的过程中,Aave 领导层也召开了多次会议,并邀请 Polygon Labs 领导层参加各种晚宴和演示会,以争取 Polygon Labs 的支持,并「选择 Aave」作为跨链流程的利益攸关方。此外,Aave 方也发布了相关提案,只是并未引起 Polygon 社区的广泛讨论。相比之下,Morpho(Aave 的主要竞争对手)的提案获得了更多社区成员的支持。

Nailwal 称,Aave「无视已经到位的安全措施,更像是『吃不到葡萄说葡萄酸』。具有讽刺意味的是,此举会损害它声称要保护的用户,破坏他们对稳定、繁荣的 DeFi 生态的访问。一边声称关心用户安全,一边又试图破坏那么多用户依赖的生态的稳定,是虚伪的。」

Polygon与Aave口角背后:只有竞争,没有共生?

除了对安全性方面的探讨,双发的口角还上升到了对各自治理形式的攻击。Polygon Labs 首席执行官 Marc Boiron指出,Aave 及其周边团队是「垄断企业」,并使用肮脏的手段制造恐惧。Boiron 表示,Marc Zeller 昨日向其发送了私信,「试图恐吓」说 Aave DAO 一定会通过「退出 Polygon」的提案。而 Stani Kulechov 则表示,Aave DAO 只是发起讨论并采取行动保护用户,「将 Aave DAO 的提议定性为反竞争行为是不准确的,而且转移了人们对真正问题,也就是对用户安全的关注。」Stani Kulechov 称,「Aave 支持不可变治理。Aave 甚至允许在友好分叉政策下使用项目方自己的代币进行治理。(相反)如果 Polygon 希望掌握更多对跨链资产投资策略的控制权,他们完全可以推出一个量身定制的市场。」

目前看来,Allez Labs 与 Morpho 和 Yearn 发起的提案大概率不会通过,而 Aave 是否会真的退出 Polygon 生态也不得而知(注,Lido 已宣布将逐步关停在 Polygon 上的质押服务)。虽然这场争执很快会过去,但背后的问题值得深思。在不考虑双方是否存在虚假言论的情况下,从 Aave 的风险防范到 Polygon 的生态扩展,双方都在为自身和用户争取最大利益。那么,在这个利益至上的行业中,是否只能看到竞争,而看不到共生?

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After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

Following the withdrawal of Aave and a sharp drop in its Total Value Locked (TVL), the valuation of the high-performance DeFi blockchain MegaETH faces scrutiny. Once a highly anticipated project with a fully diluted valuation (FDV) reaching around $2 billion, MegaETH saw its TVL plummet from a May peak of $245 million to just over $30 million in July, a roughly 70% decline. Its native token, MEGA, currently trades around $0.048 with a market cap of approximately $54 million and an FDV of about $480 million. The report identifies a core vulnerability: MegaETH's TVL was heavily dependent on a single protocol, Aave V3, which at its peak contributed around 90% of the chain's TVL. A significant portion of this capital is attributed to leveraged yield-farming strategies involving stablecoins like USDe. When the profitability of these strategies diminished, capital rapidly exited, exposing the lack of diversified, sustainable activity. Three key mismatches between MegaETH's valuation and its fundamentals are highlighted: 1. **Valuation vs. Real Usage:** With an FDV of ~$4.8B but only ~$1M in annualized protocol revenue and ~2,600 daily active addresses, the valuation appears disconnected from current economic activity. 2. **Token Narrative vs. Ecosystem Reality:** Despite its DeFi narrative, nearly 80% of the chain's recent protocol revenue comes from a trading card game, Monster, not from core DeFi applications like Aave. The chain's native stablecoin, USDM, also shows low trading volume and a declining market cap. 3. **Short-Term Hype vs. Long-Term Delivery:** Initial hype from token generation, blue-chip integrations, and influencer support has faded. Major protocols like Uniswap now hold minimal TVL on the chain, indicating that early capital was largely transient and driven by incentives rather than organic demand. The situation reflects a broader market trend where investors are becoming less tolerant of valuations based on inflated TVL and narrative, demanding clearer evidence of sustainable transactions, revenue, and ecosystem development. While MEGA's price may experience short-term rebounds from market sentiment, a fundamental re-rating likely depends on the team's ability to convert its remaining resources into tangible, user-retaining applications and genuine ecosystem growth.

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After Aave's Exit and TVL's Sharp Fluctuation, Where Does MegaETH's Valuation Anchor Lie?

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Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: China's AI Models at an Inflection Point China's open-source/open-weight large language models (LLMs) have reached performance parity with top global proprietary models, according to a Goldman Sachs report. This is driven by architectural innovations and higher parameter efficiency, allowing Chinese models to achieve comparable capabilities at 2%-10% the parameter size and significantly lower cost. The market is evolving into a two-tiered structure: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with premium pricing and a low-end, price-sensitive segment for global SMEs and individual users. Key points: * **Cost & Performance:** Innovations like Mixture of Experts (MoE) enable high performance with smaller models. Projects like Meituan's LongCat 2.0, trained on domestic hardware, highlight progress in tech self-sufficiency. * **Open-Source Strategy:** Most Chinese players use open-source/open-weight models for flexibility and ecosystem growth. However, Goldman notes this may underreport actual deployment and revenue. A shift toward "open-weight + community license" models with revenue sharing (e.g., MiniMax) could improve monetization. * **Market Shift & Global Expansion:** Enterprise AI adoption is shifting from "token maximization" to "ROI-first." International expansion, especially in non-US markets, is a major growth driver. Chinese models are increasingly available on global platforms like AWS Bedrock and Microsoft Copilot. * **Competitive Landscape:** Using a framework based on pricing power, cost advantage, and financial strength, Goldman identifies **Zhipu AI and DeepSeek** as the strongest in foundational text models, and **ByteDance** as the leader in multimodal/video generation. The report maintains Buy ratings on MiniMax and Kuaishou. * **Market Growth:** China's AI model API and subscription revenue is projected to grow from an estimated ¥35 billion in 2026 to ¥879 billion by 2030.

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Goldman Sachs In-Depth Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry?

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Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

Goldman Sachs Report: Who Will Be the Long-Term Winners in China's AI Large Model Industry? China's AI large model sector is at a historic inflection point. Goldman Sachs argues that the intelligence of Chinese open-source/open-weight models is approaching top global proprietary models. Rapid adoption by domestic enterprises and global SMEs is creating a data flywheel effect that will further drive model iteration. The evolution is summarized as moving from "DeepSeek's cost-efficiency moment last year to GLM's model-intelligence moment this year." Chinese models achieve near-state-of-the-art performance at significantly lower cost, primarily due to architectural innovations like Mixture of Experts (MoE) and higher parameter efficiency. Models like DeepSeek V4 Pro (1.6T params), GLM5.2 (0.7T), and MiniMax M3 (0.4T) are much smaller than global leaders. Recent advancements in coding capability are attributed to better data curation and RLHF. Landmarks like Meituan's LongCat 2.0, trained fully on domestic AI chips, demonstrate progress in hardware stack independence. The market is forming a "two-tiered structure." The high-end tier (e.g., GLM5.2, Alibaba's Qwen3.7 Max) prices around $1 per million tokens, about 10-25% of US top models, with estimated inference gross margins of 10-20%. The low-end tier (priced as low as $0.06-$0.2 per million tokens) targets price-sensitive global SMEs and individuals. MiniMax derives 60-70% of revenue overseas. Goldman forecasts China's AI model API/subscription revenue to grow from an estimated RMB 35bn in 2026 to RMB 879bn by 2030. Most Chinese players adopt open-source/open-weight strategies for deployment flexibility and community feedback, though this limits monetization as deployments on third-party platforms (e.g., Alibaba Cloud) may not generate direct revenue. A shift towards "open-weight + community license" models with revenue-sharing agreements (like MiniMax's approach) could improve unit economics. International expansion, particularly in non-US markets, is the key growth driver. The global enterprise AI paradigm is shifting from "token maximization" to "ROI prioritization." Chinese models are already hosted on major global platforms like AWS Bedrock and are under consideration for integration into Microsoft Copilot. Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman identifies the strongest players: In foundational text models, Zhipu AI (initiated coverage) and DeepSeek lead. In multimodal/video generation, ByteDance's Seed is the frontrunner, with Kuaishou's Kling and MiniMax's Hailuo also well-positioned. Goldman maintains a Buy rating on MiniMax, citing its attractive valuation.

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Goldman Sachs Deep Dive Report: Who Will Become the Long-Term Winners in China's AI Large Model Industry?

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