Aave's Internal Conflict Escalates, Morpho Quietly Doubles: Is the Lending Throne About to Change Hands?

Odaily星球日报Опубликовано 2026-03-01Обновлено 2026-03-01

Введение

The article discusses the escalating internal conflicts within Aave and the rising prominence of Morpho in the decentralized lending space. While Aave remains the largest lending protocol by total value locked (TVL), it is facing significant governance disputes, including a controversial $51 million funding proposal and accusations of poor fund utilization by its team. These issues have slowed decision-making and created internal division. In contrast, Morpho has gained attention due to its modular, permissionless lending infrastructure, Morpho Blue, which allows for isolated markets with independent risk parameters set by curators rather than relying on slow global governance. This design reduces friction and enables faster adaptation. Morpho’s metrics show strong growth: TVL surpassed $9.5 billion in late 2025, active loans exceeded $3.5 billion, and quarterly active addresses grew from 30,000 to 400,000. Protocol revenue remained stable around $50 million per quarter. A major catalyst for Morpho is the involvement of traditional finance. Apollo Global Management plans to acquire up to 90 million MORPHO tokens (9% of supply) over four years, worth approximately $162 million at current prices. This signals institutional interest, potentially using Morpho’s leveraging RWA (real-world asset) products for higher yields. Despite Morpho’s growth, it still trails Aave in TVL. However, Aave’s governance challenges may provide an opportunity for Morpho to capture market share. Th...

Original | Odaily Planet Daily (@OdailyChina)

Author | DingDang (@XiaMiPP)

Altcoins are dead—this is a consensus that crypto users have been reluctant to admit but have had to face over the past year. Even former blue-chip tokens have fallen into prolonged sideways movement or gradual declines amid the continuous market weakness, showing little sign of recovery.

However, amidst this overall slump, the MORPHO token has rebounded from a low of $0.96 in early February to the $1.8-$1.9 range, doubling against the trend. From the daily chart perspective, this rebound has largely formed a rounded bottom pattern, potentially signaling a bottom reversal. Is this surge merely driven by short-term market sentiment, or is it the start of a trend fueled by fundamental and structural factors?

When the Old Dynasty Begins to Consume Itself

Morpho is a lending protocol launched in 2021. Initially, its mechanism was similar to lending protocols like Aave and Compound. However, in 2023, Morpho began rolling out Morpho Blue (now its main version), completely transforming into an independent, permissionless lending base layer, firmly positioning itself among the top lending protocols in the Ethereum ecosystem.

That said, in the lending sector, Aave remains the largest by volume and the strongest in brand—an undeniable fact. But recently, Aave has once again found itself in serious governance controversy due to a $51 million "Aave Will Win" funding framework proposed by its founder, Stani.

This fund was originally intended to support new product development, and the proposal explicitly stated that future related brand revenue would be 100% returned to the DAO treasury—a move that seemed like an ideal operation of "surrendering control and benefiting the community" by the project team. However, it unexpectedly ignited long-simmering internal conflicts within the DAO.

The reason is that DAO governance representative and ACI founder Marc Zeller publicly released an "audit" report on February 25, accusing Labs of low fund utilization, having taken approximately $86 million from the DAO over the past few years without transparent disclosure. Meanwhile, core DAO developer BGD Labs announced it would exit in April 2026 due to governance friction. The founder's high voting power once again dominated the controversial proposal, further pushing the entire DAO into an open tug-of-war over power and fund distribution. As early as December last year, cracks had already appeared within the Aave community. For details, refer to Can You Still Buy AAVE Amid Deep Divisions After the Second-Largest Holder Dumped Their Bag?.

Now, as Aave slows down due to governance friction, the "simplicity" of Morpho's governance model is beginning to catch many people's attention. Aave can be considered the first-generation lending governance paradigm of "DAO-led, global parameter adjustment," where all risk parameters (such as collateral factors and liquidation thresholds) are determined by global DAO voting. While this design ensures overall robustness, it easily leads to governance bottlenecks—any minor parameter adjustment requires broad community consensus, and any disagreement can delay decisions, especially during contentious periods, potentially paralyzing decision-making.

In contrast, Morpho follows a second-generation path of modularity and market-driven mechanisms: the protocol itself is highly permissionless, allowing anyone to create isolated markets at any time. The risk parameters for each market (such as LTV, interest rate curves, and liquidation incentives) are set by independent professional risk managers (curators), rather than relying on全网 DAO voting. This means risks are strictly localized within individual markets, with responsibility分散 to specific curators, significantly speeding up decision-making. Curators can quickly iterate parameters based on actual market conditions without waiting for global consensus. The advantage of this design is that it greatly reduces governance friction and decision delays.

When the old dynasty begins to consume itself, it may be an opportunity for new forces to overtake on the curve.

Data Verification: Does It Deserve This Window?

Let's look at Morpho's fundamentals to see if it has the potential to challenge Aave's lending throne. According to Tokenterminal data, in Q3 and Q4 of 2025, Morpho's protocol TVL remained above $9.5 billion, an increase of about 80% compared to the first half of the year.

The active loan size within the protocol also stayed above $3.5 billion in both Q3 and Q4, a year-on-year increase of about 80%.

In terms of protocol revenue—one of the core metrics for DeFi protocols—aside from relatively weak performance in Q2, it remained stable at around $50 million in other quarters.

User growth is even more直观, with its quarterly active addresses rapidly expanding from about 30,000 in Q1 to the 400,000 level, showing strong organic growth momentum.

Although Morpho's current TVL and active loan size still lag behind Aave's, its user growth rate has made it one of the most aggressive "dark horses" in the lending sector. Especially against the backdrop of the entire DeFi sector generally under pressure and experiencing阵痛 in 2025, Morpho's performance can be considered achieving counter-trend high growth,足以证明 its product model has withstood market tests. Protocols that can continuously attract funds and users during bear markets often possess stronger爆发力 in the next cycle.

Institutional Variable: When Traditional Capital Starts Betting

Good fundamental data performance only proves that the protocol has a solid foundation, but the bigger catalyst that truly changes the market cap curve is the entry of traditional financial giants.

On February 13, Wall Street asset management giant Apollo Global Management signed a重磅 cooperation agreement with the Morpho Association, the non-profit organization behind Morpho. Specifically,strong> Apollo plans to gradually acquire up to 90 million MORPHO tokens over the next 48 months, equivalent to approximately 9% of Morpho's total supply. At the current price of $1.8, this is worth about $162 million.

From a trading perspective alone, this will bring sustained buying demand for MORPHO. But if you know Apollo, you'll understand that this is more like its strategic penetration into DeFi.

Apollo manages assets close to $940 billion, and its private credit business is known for pursuing high yields. The on-chain world can provide opportunities for leverage amplification and global instant liquidity. Since 2024, it has begun testing the waters in the crypto industry, with RWA as its main battlefield. It partnered with Securitize to tokenize its diversified credit strategy into ACRED, which now reached a scale of $130 million.

However, the core challenge after onboarding RWA has never been issuance but liquidity release. Assets can be tokenized, but without efficient lending markets and leverage environments, their yield potential is difficult to unleash. From Apollo's布局, it is not unreasonable to speculate that it likely intends to use Morpho's lending markets to amplify the yield of its credit products. Because Morpho's modular lending structure provides a天然适配场景 for RWA—isolated markets, independent risk parameters, and customizable leverage environments. These mechanisms are far more attractive to institutions than parameter games under unified governance.

This speculation is not without basis, because although Morpho is highly permissionless, key parameter options still need to be expanded through Morpho DAO governance. If Apollo holds a significant amount of MORPHO tokens, it will gain corresponding voting power and may promote the addition of RWA-friendly parameters. If Apollo's intentions materialize as推测, Morpho's modular design could attract more institutional funds, accelerating inflows and making it key infrastructure for amplifying institutional credit products on-chain. This institutional-level endorsement would not only strengthen Morpho's competitive advantage but also narrow the gap with Aave—especially when Aave is deeply mired in internal governance issues.

Conclusion

Aave's governance crisis may continue to drag down its market cap and liquidity in the short term, while Morpho, leveraging its product structural advantages and institutional catalysts, is quietly rewriting the competitive landscape of the lending sector. However, whether Morpho can truly shake Aave's throne still depends on its continued TVL追赶 and more TradFi players joining the fray. But至少 for now, the power transition for the "second-generation lending leader" has already begun.

Risk提示: MORPHO tokens will undergo a large unlock in March, belonging to the Morpho DAO, Morpho Association reserve, and core contributors. Short-term liquidity impact requires attention.

Связанные с этим вопросы

QWhat is the main reason for the recent governance controversy within Aave?

AThe controversy stems from founder Stani's proposal for a $51 million 'Aave Will Win' funding framework, which ignited existing tensions over fund allocation and transparency, particularly after an audit report accused Labs of low fund utilization and lack of disclosure after receiving approximately $86 million from the DAO.

QHow does Morpho's governance model differ from Aave's approach?

AMorpho uses a modular, market-driven model where independent risk managers (curators) set parameters for isolated markets, reducing governance friction. In contrast, Aave relies on global DAO voting for all risk parameter adjustments, which can lead to decision-making bottlenecks.

QWhat significant partnership has contributed to Morpho's recent growth and potential?

AApollo Global Management signed an agreement to acquire up to 90 million MORPHO tokens (approx. 9% of supply) over 48 months, valued around $162 million at current prices, signaling major institutional backing and potential integration for RWA yield strategies.

QWhat key metric demonstrates Morpho's strong user growth despite market conditions?

AMorpho's quarterly active addresses grew from around 30,000 in Q1 to 400,000 by Q4, showing robust organic user expansion even during a period of general DeFi market pressure.

QWhat is a potential short-term risk for MORPHO token investors mentioned in the article?

AThe MORPHO token faces a significant unlocking event in March, with releases to the Morpho DAO, Morpho Association treasury, and core contributors, which could create short-term liquidity pressure on the price.

Похожее

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

**Title: Daily Briefing | Trump Media Group Releases Q1 Report; Top 3 DeFi Apps Return Nearly $100M to Token Holders; Michael Saylor Signals Potential Bitcoin Buy** **Summary:** Key developments in the past 24 hours include: * **Economic Outlook:** Goldman Sachs has pushed back its forecast for the next two Federal Reserve interest rate cuts to December 2026 and March 2027, citing persistent inflationary pressures from energy costs. This delayed timeline is expected to tighten liquidity flow into risk assets, including cryptocurrencies. * **DeFi & Revenue:** Data from DefiLlama shows that three leading DeFi applications—Hyperliquid, Pump.fun, and EdgeX—collectively distributed $96.3 million in revenue to their token holders over the last 30 days. This trend highlights a shift in the crypto community's focus towards real protocol earnings and sustainable economic models. * **Corporate Bitcoin Moves:** Michael Saylor, founder of MicroStrategy (note: referred to as 'Strategy' in the text, likely a typographical error), has signaled potential upcoming Bitcoin purchases by posting a "Bitcoin Tracker" update, following a pattern that typically precedes the company's official disclosure of new acquisitions. * **Market Integrity:** Prediction market platform Polymarket announced updates to address platform issues, including identifying and banning clusters of accounts involved in "ghost-fill" activities and implementing measures to prevent bulk account creation. * **Regulation:** The Bank of England Governor warned that stablecoin regulation could lead to tensions between US and international regulators. In South Korea, the National Tax Service has launched a pilot program to entrust seized virtual assets to private custody firms for management. * **Meme Token Trends:** GMGN data lists the top trending meme tokens on Ethereum (e.g., HEX, SHIB), Solana (e.g., FWOG, TROLL), and Base (e.g., SKITTEN, PEPE) over the past day. **Financial Note:** Trump Media & Technology Group reported a Q1 loss of approximately $4 billion, primarily attributed to unrealized losses on its Bitcoin and other digital asset holdings.

链捕手18 мин. назад

Morning Post | Trump Media Group Releases Q1 Financial Report; Top Three DeFi Applications Return Nearly $100 Million in Revenue to Token Holders in 30 Days; Michael Saylor Shares Bitcoin Tracker Info Again

链捕手18 мин. назад

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

Telegram founder Pavel Durov announced that Telegram will replace the TON Foundation as the core driver and largest validator of The Open Network (TON). Key initiatives include a sixfold reduction in transaction fees, performance upgrades, and improved developer tools within the next few weeks. This marks a strategic shift from Telegram merely providing user access to deeply integrating TON into its platform's core infrastructure. The goal is to transform Telegram's massive social traffic into sustainable on-chain activity. While viral mini-apps like Notcoin have demonstrated Telegram's ability to drive user adoption, TON aims to support frequent, low-value transactions inherent to social platforms—such as tipping, in-app payments, and game rewards. Ultra-low fees and sub-second finality (0.6 seconds) are crucial to making blockchain interactions seamless and nearly invisible within the Telegram user experience. However, Telegram's increased central role raises questions about network decentralization. Durov argues that Telegram's participation will attract more large validators, thereby enhancing decentralization. TON also offers high annual staking rewards (18.8%), aiming to retain capital within its ecosystem. The fundamental challenge for TON is no longer leveraging Telegram's user base, but becoming an indispensable, seamless infrastructure layer for Telegram's everyday applications—moving from an adjacent chain to an embedded utility.

marsbit20 мин. назад

Telegram Takes Direct Control of TON, Social Traffic Rewrites the Public Chain Narrative

marsbit20 мин. назад

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Telegram's founder, Pavel Durov, has announced a major shift in the development of The Open Network (TON). Telegram will now become the core driver of TON, replacing the TON Foundation and becoming its largest validator. The focus will be on technical upgrades over the next few weeks, including slashing network fees by six times to near-zero and improving finality time to 0.6 seconds. This move signifies a deeper integration between Telegram and TON, moving beyond just providing a user base. The goal is to transform Telegram's vast social traffic and built-in features—like Mini Apps, payments, and bots—into sustainable, on-chain usage scenarios. The reduced fees and faster speeds are crucial for enabling the small, frequent transactions typical of social interactions. While this promises stronger execution and product alignment, it raises questions about centralization. Durov argues Telegram's involvement will attract more validators, enhancing decentralization, but the outcome remains to be seen. Additionally, TON's high annual staking reward of 18.8% aims to retain capital within the ecosystem. The key challenge for TON is no longer just leveraging Telegram's entry point, but becoming an invisible, seamless infrastructure layer within Telegram's daily use. Its success hinges on converting viral attention into lasting, embedded utility.

Odaily星球日报30 мин. назад

Telegram Takes Direct Control of TON, Social Traffic Reshapes Public Chain Narrative

Odaily星球日报30 мин. назад

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbit1 ч. назад

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbit1 ч. назад

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbit1 ч. назад

Your Claude Will Dream Tonight, Don't Disturb It

marsbit1 ч. назад

Торговля

Спот
Фьючерсы
活动图片