Vitalik Buterin’s proposal for safer DeFi assets has moved quickly from research post to developer experiments. The June 1 Ethereum Research post laid out a way to build index-tracking assets on top of options instead of collateralized debt positions, aiming to reduce liquidation cascades and make synthetic assets less dependent on real-time oracle feeds.
The core design starts with a price index denominated in ETH, such as USD/ETH, CPI/ETH, a commodity index or another real-world reference. Instead of creating a debt position that can be liquidated when collateral falls, the system splits 1 ETH into two paired claims, called P and N. The pair can be recombined into 1 ETH before maturity, while the final payout at maturity depends on the index value.
The design’s safety property comes from the pair always adding back up to 1 ETH. One side can gain and the other can lose, but the system does not need to forcibly sell collateral to protect itself from uncovered debt. That structure is the main difference from traditional DeFi lending and synthetic-asset systems, where bad oracle data, sharp market moves or thin liquidity can turn liquidation thresholds into forced selling pressure.
The idea extends the same theme behind options-based DeFi liquidation risk: replace sudden liquidation cliffs with smoother exposure drift. Positions may move away from their target exposure, but the failure mode becomes rebalancing, slippage and tracking error rather than instant forced closure.
Base Demo Shows The First P/N Lifecycle
The fastest follow-up came inside the Ethereum Research thread itself. On June 5, a developer posted that they had implemented a physically settled version of the P/N construction and ran a full cross-party lifecycle on Base using WETH/USDC.
The demo split 1 WETH into two ERC-20 claims, P and N. Before maturity, P and N could recombine back into WETH. During the exercise window, the N holder could pay the USDC strike and receive WETH. After settlement, the P holder could redeem the remaining vault balances, including collected USDC and any leftover WETH.
That version pushes the design toward asset movement rather than price resolution. For onchain pairs where both assets already exist, settlement can happen through exercise and vault balances instead of asking a protocol to decide the ETH/USD price at the critical moment. The developer also noted a keeper prototype for exercising in-the-money positions, while leaving secondary liquidity, rolling and reliable exercise as open problems.
The Base run is not a consumer product launch, and no major production protocol has announced a full mainnet rollout of Buterin’s exact design. It is still an important shift because the idea already has a working transaction path rather than remaining a whiteboard proposal.
Options Builders Join The Debate
Options protocols and DeFi risk teams quickly picked up the design. Derive founder Nick Forster reacted on X by arguing that options are the most programmable derivative and that onchain systems can create custom payoff profiles. That fits Derive’s own positioning as an onchain crypto options and futures protocol with multi-leg structures, RFQ trading, cross-margining and programmable options tooling.
Carmine Finance also sits close to the same design space. Its DeRisk product already frames options as protection for risky loans and bad-debt exposure in DeFi lending markets. That does not mean Carmine has launched Buterin’s P/N model, but it shows why options-based protection is gaining attention among teams that already monitor liquidation risk, collateral depth and bad-debt paths.
The discussion also pulled in developers who have been exploring similar payoff systems. One Ethereum Research reply proposed a perpetual liquidity-backed variation where the same P plus N equals 1 structure remains, but the trade-off moves from expiry and rolling toward LP-depth constraints. Another reply described “sound options” as a broader class of instruments that can express covered payoffs while reducing reliance on liquidation machinery.
Rebalancing Costs Remain The Main Challenge
The pushback is not minor. Several developers questioned whether options-based synthetic assets can stay competitive once rebalancing, rolling, expiry management and slippage are included. A critic in the forum compared part of the design to holding a deep out-of-the-money put and argued that theta decay could become expensive if maturities are too long.
Buterin’s own post already treated rebalancing as the central cost problem. Users can rebalance manually, through local agents or through a fully automated onchain wrapper. More frequent rebalancing can reduce drift but may increase exposure to short-term price manipulation, MEV and slippage. More conservative rebalancing reduces activity but allows the position to drift further from the target index.
That trade-off keeps the design from being a simple stablecoin replacement. Buterin noted that medium annual drift may be acceptable for users seeking price stability rather than perfect accounting stability, but repeated slippage can make the model uncompetitive if the market structure is poor.
Ethereum’s Innovation Cycle Speeds Up
The speed of the response is the real story. A June 1 research idea already has forum-level prototype work, options-market commentary, risk-tool comparisons and technical objections around liquidity and settlement. Ethereum’s DeFi community is not treating the proposal as finished, but it is testing the design space quickly.
That pace matters after repeated DeFi liquidation stress events. Ethereum lending markets have handled large automated liquidations before, including the Aave stress test during a weekend crash, but those events still depend on fast oracle updates, liquid collateral markets and enough arbitrage capacity to close risky positions cleanly. Large whale positions can also create concentrated risk, as seen when a major ETH holder faced a potential $1.33 billion liquidation threshold.
Buterin’s proposal attacks that risk path at the design layer. It does not remove market risk, liquidity needs or user responsibility. It changes where the system absorbs stress. Instead of a global liquidation event triggered by a sharp move or oracle update, the burden shifts toward payoff design, rolling, rebalancing, liquidity formation and settlement incentives.
The next test is whether builders can turn that cleaner risk model into products users actually want. If options-based synthetics can keep slippage low and make rebalancing simple, Ethereum could gain a new primitive for stable-value exposure, index assets and safer DeFi markets. If liquidity stays thin, the idea may remain a useful research path rather than a replacement for debt-based DeFi.
Be the first to comment