Dual Governance 101: Explainer

项目方LDO(Lido)Pubblicato 2025-06-03Pubblicato ultima volta 2025-11-10

Introducing Dual Governance: Giving stETH Holders a Voice

 

There is an inherent tension in DAO-run systems: those who shape the protocol’s design are not necessarily those who shoulder the outcomes firsthand. The DAO holds upgrade rights, while stETH holders bear the execution risk. Because upgrades are inevitable as Ethereum evolves, this tension only grows.

 

Dual Governance addresses these concerns by enabling stETH holders to express discontent and exit the protocol if confronted with controversial LDO-governance decisions.

 

At its core, Dual Governance represents a dynamic timelock: the more exit signals stETH holders submit, the longer LDO-governance motions are delayed.

 

This achieves two aims at once:

  1. Makes contention visible and measurable.
  2. Gives stakers the option to exit safely, avoiding unfavorable protocol changes.

Here is how it works, why it matters, and the key parameters that make it effective.

 

The Core Idea: The Right to Exit & Balanced Power

  1. Right to Exit Safely: stETH holders can withdraw their stake if they oppose governance decisions, preventing forced changes to their crypto-assets.
  2. Balance of Interests: No single group (LDO holders, node operators, or stakers) can unilaterally push harmful changes on stakers. Each has a voice, and strong disagreements trigger a built-in pause for negotiation or exit.

 

Why It’s Needed: The Risk of Governance Attack

Ethereum’s validator-exit queue can delay withdrawals for weeks or months during congestion. In that window, a hostile majority of LDO tokens could force smart-contract upgrades, eject node operators, or reassign user-withdrawal addresses.

 

Dual Governance mitigates such extreme scenarios by allowing stETH holders to voice disagreement and by blocking protocol governance for the time needed to exit.

 

This makes large-scale takeovers costly and impractical, enhancing the protection of Lido participants and, indirectly, Ethereum itself.

 

How Dual Governance Works

Dual Governance adds a “sentiment gauge” that lets stETH holders delay LDO-governance execution when opposition rises.

 

Ultimately, the contention is either mediated or—if an active governance attack targets protocol users—stakes can be withdrawn safely through the rage-quit gate.

 

The more stETH that signals disagreement, the longer the execution delay. Once opposition reaches a major threshold (10 % of TVL), governance cannot execute any change until the opposing stakers withdraw their tokens.

 

Key Scenarios: When Dual Governance Matters

Scenario 1: Voicing Opposition and De-escalation

 

  • LDO holders propose removing a node operator, unaware of critical reasons to keep them.
  • stETH holders signal a veto, triggering a temporary pause.
  • LDO holders reconsider and cancel the proposal.
  • Governance continues as usual without harming user trust.

 

Scenario 2: Reacting to Takeover—Guaranteed Exit

  • A large LDO-holding entity proposes a smart-contract change that jeopardizes user tokens.
  • Enough stETH holders lock tokens in the veto-signalling contract, delaying execution.
  • stETH holders exit if LDO holders refuse to cancel.
  • After withdrawals complete—or the proposal is canceled and stETH holders have unlocked their tokens—governance resumes.

 

Dual Governance Design

Dual Governance inserts a timelock between Lido-DAO decisions and execution. It is linked to an escrow where stETH holders can signal intent to exit by locking stETH, wstETH, or withdrawal NFTs.

 

Once deposits cross the first-seal threshold (1 % of Lido-on-Ethereum TVL), the timelock starts to grow. Reaching the second seal (10 % of TVL) triggers rage quit—execution is fully blocked until all locked stake is withdrawn to ETH.

 

 

All contracts have undergone multiple independent audits, ensuring the code meets the highest security standards.

 

The system has undergone third-party design reviews from Certora and Runtime Verification. Audit reports are available from Certora, Statemind, OpenZeppelin, and Runtime Verification.

 

All proposed parameters were tested by two independent teams: game-theoretic research by 20squares and agent-based modeling by CollectifDAO.

 

Proposal Lifecycle

When the DAO (i.e., LDO holders) supports a proposal—such as upgrading a smart contract or adding a node operator—it does not execute immediately. Instead, it enters a four-day waiting period. During this time, stETH holders can trigger Veto Signaling by locking tokens.

 

If triggered, a dynamic timelock replaces the standard delay, extending the waiting period according to the amount of stETH committed (from five extra days at 1 % to a maximum of 45 days at 10 %). During this period:

 

  • The DAO can still cancel pending proposals if contention is visible.
  • stETH holders may escalate by locking more stETH, further extending the timelock or eventually triggering a rage quit.

 

Once the timelock expires, the proposal can be executed, allowing on-chain changes to take effect.

 

 

Governance States

Dual Governance follows a state-machine model, each state imposing specific rules:

  1. Normal: Default state; proposals spend four days pending, then can be executed.
  2. Veto Signaling: Triggered when 1 % of stETH supply is escrowed in opposition. The proposal is paused under a dynamic timelock, which expands from five to 45 days proportional to stETH opposition.
  3. Rage Quit: If 10 % of stETH remains locked until the timelock ends, stakers exit. No new proposals can execute until withdrawals finish, shielding users from the contested motion.
  4. Veto-Signaling Deactivation and Veto Cooldown: Technical sub-states that resolve edge cases; only pending proposals may execute during Veto Cooldown.

 

 

The Role of Committees: Fine-Tuning Governance Resilience

Dual Governance introduces three new committees that cover different areas:

1. Reseal Committee

A safety net that extends the withdrawal pause triggered by GateSeal.

  • GateSeal: Pauses withdrawals for 11 days if a critical issue is detected.
  • Reseal: Extends GateSeal’s pause when Veto Signaling is active, giving the DAO more time to act.

 

2. Tiebreaker Committee

A last-resort measure for unlikely stalemates.

  • Can force execution of stuck proposals or unseal withdrawal contracts.
  • Activates only after long-term governance paralysis.

 

Structure: A “multisig of multisigs” comprising three subcommittees:

  • Ethereum Ecosystem (3/5 quorum)
  • Builders (3/5 quorum)
  • Node Operators (5/7 quorum)

 

At least two of the three subcommittees must reach quorum. All members are external to avoid conflicts of interest.

 

3. Emergency Committee

Purpose: Safety mechanism for the first year after deployment.

 

  • Can pause Dual Governance, halt permissionless execution, and temporarily restore LDO-token governance.
  • May execute proposals while DG is disabled to restore stability.

 

Composition

  • Activation multisig (4/7): May trigger emergency mode once, within a limited window.
  • Execution multisig (5/7): Temporarily controls governance logic to fix or revert.

 

Designed as a one-off failsafe, not a standing power.

 

Conclusion: Solid governance model for Liquid Staking on Ethereum

One of the key properties of DeFi is the user's right to exit, and Dual Governance implements it for Lido on Ethereum. While catering to Ethereum staking mechanics requires an intricate design, the resulting mechanism aims for resilience, mitigating even theoretical edge cases.

 

The very release of Dual Governance shifts the game theory around the protocol's upgrade levers, mitigating heavy risk vectors without ever being triggered.

 

While it won't prevent every potential governance risk, it makes large-scale attacks impractical and rebalances power toward those with the most at stake.

Letture associate

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbit29 min fa

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

marsbit29 min fa

AI Bubble Is Bursting

The AI Bubble is Bursting: A Necessary Purge on the Path to Ubiquitous Intelligence Market volatility has reignited debates about an AI bubble, with figures like Ray Dalio pointing to high valuations. However, this parallels the dot-com bubble, which, despite its crash, laid the physical infrastructure for today's internet era. The current AI investment frenzy, with tech giants planning trillions in infrastructure spending far outstripping current AI application revenues, appears similarly imbalanced. This 'bubble' is seen as an inevitable phase for a disruptive technology, paying the "innovation tax." Critically, AI inference costs have plummeted over 99.7% since 2023, making intelligence nearly free at the margin. This hasn't reduced spending but has instead unlocked massive new demand, as seen in enterprise AI cloud expenditure tripling. This follows the Jevons Paradox: efficiency gains lead to greater total consumption. The market is now entering a cleansing phase, weeding out speculative ventures lacking real moats. The deeper shift is a move from capital expenditure (CapEx) on hardware to value creation in operational expenditure (OpEx) through AI applications that solve real industry problems. While infrastructure valuations are high, rapid earnings growth from widespread AI adoption across sectors—from manufacturing and finance to law and healthcare—may digest these valuations over time. Ultimately, this creative destruction will leave behind robust infrastructure and optimized models, cheaply powering an AI-augmented future for all industries, much as the internet became indispensable after its own bubble burst. The core productive potential remains undiminished.

链捕手39 min fa

AI Bubble Is Bursting

链捕手39 min fa

Trading

Spot
Futures

Articoli Popolari

Come comprare STETH

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Lido Staked ETH (STETH) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente Lido Staked ETHSTETH.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Lido Staked ETH (STETH)Dopo aver acquistato Lido Staked ETH (STETH), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Lido Staked ETH (STETH)Scambia facilmente Lido Staked ETH (STETH) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

70 Totale visualizzazioniPubblicato il 2024.12.12Aggiornato il 2026.06.02

Come comprare STETH

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di STETH STETH sono presentate come di seguito.

活动图片