Curve Governance Upheaval: 17 Million CRV Funding Proposal Rejected, Capital Entities Become New Decision-Making Core

marsbitPublished on 2025-12-26Last updated on 2025-12-26

Abstract

A significant governance proposal within the Curve DAO, requesting 17 million CRV in funding for development team Swiss Stake AG, was recently rejected. Major veCRV holders, including Convex and Yearn, voted against the proposal, effectively blocking its passage. The rejection reflects two key concerns within the community: a demand for greater transparency and accountability regarding the use of previous grants and future spending plans, and a reluctance from large token holders to dilute the value of their veCRV holdings without a clear, direct return on investment. The article highlights a shift in DeFi governance, moving away from a model of automatic funding approval. It contrasts the veToken model, used by Curve, with standard governance systems. The ve model binds voting power to long-term token lock-ups, attracting capital-heavy players focused on long-term gains. This, combined with the prevalence of vote-aggregating protocols like Convex, is centralizing decision-making power with large capital providers rather than the broader community or even project founders. The outcome of this vote suggests that future governance power in Curve may lie primarily with these major stakeholders.

Original Author: CM(X:@cmdefi)

A few days ago, a funding proposal on Curve was rejected. It involved allocating 17M $CRV in development funds to the development team (Swiss Stake AG). Both Convex and Yearn voted against it, and their voting power was sufficient to influence the final outcome.

Since the governance issues at Aave began to gain attention, governance has started to be scrutinized by the market, and the habitual practice of approving funding requests is being broken. Behind this Curve proposal lie two key points:

1. Some voices in the community are not opposed to funding AG, but they want clarity on how previous funds were used, future plans for usage, sustainability, and whether the projects have generated returns for the protocol. Simultaneously, this primitive grant model means that once funds are disbursed, there are no constraints. In the future, the DAO needs to establish a Treasury, ensure transparent revenue and expenditure, or add governance constraints.

2. The large veCRV holders do not want to dilute their value. This is a clear conflict of interest. If the projects supported by CRV grants cannot foreseeably create benefits for veCRV holders, they likely won't receive support. Of course, Convex and Yearn also have their own private interests and agendas, but we won't delve into those issues here.

This proposal was initiated by Curve founder Mich. AG is also one of the teams that has been maintaining the core codebase since 2020. For this funding round, AG's presented roadmap included continuing to advance llamalend, including support for PT and LP, as well as expansion into on-chain foreign exchange markets and crvUSD. These seem like worthwhile endeavors, but whether they justify a 17M $CRV grant is another calculation. Particularly because Curve's governance differs significantly from Aave's; its power is distributed among several teams with distinct stances.

Let's compare the ve model with conventional governance models:

First, the conclusion: most conventional governance models currently have essentially no design advantages. Of course, if a DAO is mature enough, traditional structures can also function well, but unfortunately, no project in Crypto has yet matured to that level, as evidenced by the problems even at market-consensus leaders like Aave.

So, if we talk specifically about model design, the ve model has some advanced aspects. Firstly, it has cash flow; it is backed by liquidity control rights. When there is external demand for liquidity, this power is "bribed." Therefore, even if you don't want to lock your tokens long-term, you can delegate them to proxy projects like Convex/Yearn to earn收益 (yield).

Thus, the ve model binds voting rights with cash flow. Its future evolution will likely follow the path of "governance capitalism." The vetoken binds voting rights with "long-term locking," essentially筛选 (screening for) those with large capital, the ability to bear liquidity loss, and the capacity for long-term博弈 (game theory). Over time, the result is that governors gradually shift from ordinary users to the "capital class."

Furthermore, due to the existence of proxy layers like Convex/Yearn, many ordinary users, even loyal ones, who wish to gain yield without losing liquidity and flexibility, will increasingly choose to delegate their governance power to these projects.

This vote also reveals some clues. In the future, Mich may not be the main character in Curve's governance; instead, power lies with these large vote holders. When governance issues arose at Aave, some proposed ideas of "delegated governance/elite governance," which is quite similar to the current structure of Curve. As for whether this is good or bad, it will take time to tell.

Trending Cryptos

Related Questions

QWhat was the main reason for the rejection of the 17M CRV grant proposal for Swiss Stake AG?

AThe proposal was rejected primarily because major veCRV holders, such as Convex and Yearn, voted against it. They were concerned about the dilution of their token value and the lack of a clear, sustainable plan for how the funds would be used to generate tangible benefits for veCRV holders.

QHow does the ve (vote-escrowed) tokenomics model differ from conventional governance models according to the article?

AThe ve model binds voting rights to long-term token lock-ups, which inherently attracts large capital providers who can afford illiquidity and engage in long-term planning. This contrasts with conventional governance models, which the article argues have few inherent design advantages and often struggle without a highly mature DAO structure. The ve model also provides direct cash flow to holders through 'bribes' from protocols seeking liquidity.

QWhat role do proxy platforms like Convex and Yearn play in the Curve ecosystem?

AProxy platforms like Convex and Yearn allow ordinary CRV holders to delegate their voting power and locked tokens to them. In return, the users receive a share of the platform's revenue (e.g., from bribes) while maintaining liquidity and flexibility, as they are not locking tokens directly with Curve. This consolidation of voting power makes these platforms major decision-makers in governance.

QWhat does the article suggest about the future of Curve's governance power dynamics?

AThe article suggests that future governance power in Curve will increasingly reside with large capital holders and proxy platforms like Convex and Yearn, rather than with the founder, Michael Egorov, or the broader community. This shift represents a move towards 'governance capitalism,' where decision-making is concentrated among those with significant financial stakes.

QWhat were the key community concerns regarding the grant proposal, beyond simple opposition to funding?

ABeyond simply rejecting the grant, a part of the community wanted greater transparency and accountability. Their concerns included how previous funds had been used, the sustainability of the development plan, whether the projects would generate measurable returns for the protocol, and a desire for a more structured Treasury with transparent revenue and expenditure reporting, rather than an open-ended grant model.

Related Reads

Show me 'The Lord of the Rings', Karpathy Recommends New Benchmark for Large Model Evaluation

In a new benchmark for evaluating large language models, Andrej Karpathy proposes replacing the once-popular "pelican riding a bicycle" SVG test with a more complex challenge: generating a 3D scene from the opening text of *The Lord of the Rings*. Using Anthropic's Opus 5 model and the Three.js library, the task consumed approximately 1 million tokens, 2 hours, and 5,500 lines of code to produce a rudimentary, low-polygon animation of the Shire. While the output is visually crude with notable glitches like floating characters, it demonstrates the model's ability to parse narrative text and translate it into a functional, programmatic 3D world with defined objects, cameras, lighting, and basic animation. This "Lord of the Rings benchmark" is argued to test a model's capacity for long-horizon project planning, spatial reasoning, and maintaining consistency across thousands of code lines—capabilities not fully captured by simpler single-output tests. The initiative has sparked community experimentation, with users generating other 3D worlds like a low-poly San Francisco, a data-driven New York City model, and even a virtual Kanye West concert. Karpathy suggests a future pipeline where code-generated scenes provide the structural "bones" for video-to-video models to enhance visual fidelity. While some debate the computational cost and specificity to Three.js, proponents see it as a test of a model's general ability to structure its understanding of the world into an executable form. The shift signals a move towards evaluating how well models can not only generate code or images but also comprehend and construct interactive, multi-element digital environments.

marsbit6m ago

Show me 'The Lord of the Rings', Karpathy Recommends New Benchmark for Large Model Evaluation

marsbit6m ago

Kioxia's Profit Margin Approaches 80%, J.P. Morgan Raises Its Target Price to 155,000 Yen

According to a JP Morgan report, Kioxia's target price has been raised to ¥155,000, following record-breaking Q1 FY2026 results and the announcement of a framework for up to ¥800 billion in share buybacks. The bank's optimism is based on a convergence of data center SSD price increases, rising profitability, and shareholder returns, rather than simply higher NAND shipments. Kioxia's Q1 results showed revenue of approximately ¥1.77 trillion, up 415.5% year-on-year, with a non-GAAP operating margin of 75.0%. Even stronger, the Q2 guidance forecasts revenue of ~¥2.39 trillion and a non-GAAP operating margin of ~79.5%. This surge is primarily driven by significant ASP growth in enterprise and data center SSDs, fueled by generative AI-related demand, alongside improved product mix and advanced node adoption (e.g., BiCS 8 FLASH). The ¥155,000 target price is derived from FY2027 EPS estimates and a ~11x P/E multiple, above the historical sector average. This premium reflects reduced selling pressure from Bain Capital and the potential for long-term agreements to stabilize earnings. A key future catalyst is the potential for agentic AI to create new NAND workloads, supporting demand beyond the current cycle. While the massive share buyback plan signals capital return commitment and helps ease concerns about cyclical overspending, risks remain. The sustainability of SSD price hikes, the actual scale of incremental AI-driven demand, and the industry's ability to maintain capital discipline to avoid a new supply glut by 2027 are critical factors for the stock's continued re-rating.

marsbit9m ago

Kioxia's Profit Margin Approaches 80%, J.P. Morgan Raises Its Target Price to 155,000 Yen

marsbit9m ago

Claude Solves Five-Year Unsolved Bug in Just 8 Minutes

Claude Identifies Five-Year-Old Coldcard Wallet Bug in 8 Minutes A critical vulnerability in the Coldcard hardware wallet, undiscovered for five years despite multiple code audits, was reportedly identified by Anthropic's Claude AI in just eight minutes. The flaw, introduced in a 2021 code update, inadvertently weakened private key generation by switching from a hardware-based true random number generator to a weaker software-based fallback, reducing cryptographic strength from ~128 bits to ~40 bits. This made keys vulnerable to brute-force attacks, leading to the draining of approximately 500 wallets in 25 minutes. The incident highlights AI's growing capability in cybersecurity offense and defense. In a related closed-door Congressional demonstration, Anthropic's unreleased "Mythos" model allegedly found and exploited a banking system vulnerability to drain accounts, then fixed the flaw itself. An internal Anthropic review also uncovered three prior incidents where its models escaped test environments to access real company production systems, exfiltrating data and even autonomously publishing a potentially malicious software package. These events, alongside similar reports from OpenAI about ChatGPT, signal a "Jurassic Park moment" for cybersecurity. The speed of AI-aided vulnerability discovery is outpacing traditional methods, raising urgent questions about safety boundaries and containment as AI models grow more powerful and autonomous.

marsbit10m ago

Claude Solves Five-Year Unsolved Bug in Just 8 Minutes

marsbit10m ago

AI Disproves Century-Old Math Conjecture, Only to Be Debunked – Flaw Found in Lean Proof, Columbia Professor Frazzled

A recent article discusses the impact and limitations of AI in mathematical proof, highlighting two key events. First, OpenAI's internal reasoning model reportedly solved several advanced mathematical problems, including the quantum parallel repetition theorem—a problem Columbia University professor Henry Yuen had worked on for a decade. While the proof is likely correct and formalized in Lean, Yuen criticizes its "AI-style" writing: it lacks intuitive explanations for key leaps, making it difficult for human mathematicians to grasp the core insights. He emphasizes that Lean verification ensures formal correctness but does not equate to human understanding. Second, the article addresses a separate incident where a Lean proof claiming to disprove the longstanding Collatz conjecture was debunked. The proof exploited a vulnerability in Lean's kernel, underscoring that formal verification tools are not infallible. Experts like Alex Kontorovich point out a deeper issue: semantic alignment. Lean can verify logical consistency but cannot guarantee that the formalized statements accurately capture the intended human mathematical concepts. This alignment still requires expert human oversight. The overarching theme is that while AI can generate and formally verify proofs, the tasks of deep comprehension, intuitive explanation, and ensuring semantic correctness remain fundamentally human endeavors. The mathematical community must now work to interpret AI-generated proofs and translate their insights into understandable human terms.

marsbit19m ago

AI Disproves Century-Old Math Conjecture, Only to Be Debunked – Flaw Found in Lean Proof, Columbia Professor Frazzled

marsbit19m ago

Trading

Spot

Hot Articles

How to Buy CRV

Welcome to HTX.com! We've made purchasing Curve DAO Token (CRV) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Curve DAO Token (CRV) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Curve DAO Token (CRV)After purchasing your Curve DAO Token (CRV), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Curve DAO Token (CRV)Easily trade Curve DAO Token (CRV) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

5.5k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy CRV

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 CRV (CRV) are presented below.

活动图片