Ethereum aims to become the global ledger—a platform for storing human civilization’s assets and records, serving finance, governance, and high-value data authentication. To achieve this, it must excel in two key areas: scalability and resilience. Recent upgrades, like the Fusaka hard fork, have already increased L2 data availability by 10x, and the proposed 2026 roadmap promises similar gains for L1. Ethereum has also successfully transitioned to Proof-of-Stake (PoS), improved client diversity, advanced zero-knowledge (ZK) verification, and strengthened its application ecosystem.
However, one critical aspect of resilience—and even scalability—often goes overlooked: protocol simplicity.
The Power of Simplicity: Lessons from Bitcoin
Bitcoin’s protocol is celebrated for its elegant simplicity:
- A chain of blocks linked by cryptographic hashes.
- Block validity verified through Proof-of-Work (PoW), checking if the hash starts with a certain number of zeros.
- Transactions spending coins must reference earlier outputs or mining rewards.
That’s it. A bright high school student could grasp Bitcoin’s core mechanics, and a programmer could realistically build a client as a side project. This simplicity offers profound advantages:
- Ease of Understanding: Lowers barriers to participation in research, development, and governance.
- Reduced Development Costs: Simplifies the creation of new infrastructure like clients, provers, and tools.
- Lower Maintenance Burden: Cuts long-term upkeep efforts.
- Fewer Catastrophic Errors: Minimizes risks in protocol specifications and implementations.
- Smaller Attack Surface: Limits complexity that could be exploited by special interests.
Historically, Ethereum has sometimes prioritized complexity over simplicity, leading to higher costs, security risks, and a more closed development culture. This article explores how Ethereum could achieve Bitcoin-level simplicity within five years.
Simplifying the Consensus Layer
Ethereum’s consensus layer (historically known as the Beacon Chain) can be significantly streamlined by incorporating lessons from a decade of research in consensus theory, ZK-SNARKs, and cryptoeconomics. Key improvements include:
- 3-Slot Finality Design: Removes concepts like slots, epochs, and committee reorganizations. A basic implementation requires only about 200 lines of code while offering near-optimal security.
- Fewer Active Validators: Enables simpler fork-choice rules and enhances security.
- STARK-Based Aggregation Protocols: Allows anyone to become an aggregator without trust assumptions or high fees. While the cryptography involved is complex, it is well-encapsulated and poses low systemic risk.
- Simplified P2P Architecture: Supports a more robust and straightforward networking layer.
- Redesigned Validator Mechanics: Streamlines entry, exit, withdrawals, key changes, and inactivity leaks, reducing code volume and providing clearer guarantees.
Since the consensus layer is largely independent of the execution layer, it offers significant room for continued refinement.
Streamlining the Execution Layer
The Ethereum Virtual Machine (EVM) has grown increasingly complex, partly due to historical optimizations for specific cryptographic forms that are now becoming outdated. Precompiles—custom-built operations for specific use cases—add further redundancy.
Piecemeal fixes, like removing the SELFDESTRUCT opcode, offer limited returns. A more radical approach is needed: replacing the EVM with a simpler, more efficient virtual machine like RISC-V or one used by Ethereum ZK provers. Benefits include:
- Massive Efficiency Gains: Removing interpreter overhead can improve performance by 100x or more in many scenarios.
- Enhanced Simplicity: RISC-V’s specification is far simpler than the EVM’s.
- Support for EOF Goals: Enables code separation, better static analysis, and larger code size limits.
- Developer Flexibility: Languages like Solidity and Vyper can add backends to compile to the new VM. If using RISC-V, developers can even port mainstream code directly.
- Removal of Most Precompiles: Only highly optimized elliptic curve operations might remain until quantum computing matures.
The main challenge is ensuring backward compatibility for existing EVM-based applications.
Ensuring Backward Compatibility During Transition
Balancing innovation with backward compatibility is crucial. We can categorize Ethereum’s codebase into:
- Green Zone: Code essential for consensus—state computation, proof verification, and fork-choice rules.
- Orange Zone: Legacy code needed for historical block processing but unnecessary for new clients or provers.
- Yellow Zone: Code useful for block building or analysis (e.g., ERC-4337 support) but not required for consensus.
The goal is to minimize the green zone and encapsulate complexity in orange and yellow zones, where errors pose no consensus risk.
A phased transition—inspired by Apple’s Rosetta translation layer—could work as follows:
- Introduce on-chain RISC-V implementations for new precompiles.
- Make RISC-V a developer option, allowing interoperable contracts between RISC-V and EVM.
- Replace most precompiles with RISC-V equivalents via hard fork.
- Implement an EVM interpreter in RISC-V, allowing existing contracts to run atop the new VM.
After step 4, EVM code remains useful for tools and optimizers but is no longer part of the core consensus specification.
Unifying Protocol Components for Greater Simplicity
A third strategy for reducing complexity is unifying standards across Ethereum’s protocol stack. Repeated solutions for similar problems add unnecessary bloat. Key areas for unification include:
Erasure Coding
Ethereum uses erasure coding in three scenarios: block verification, faster P2P broadcasting, and decentralized history storage. Using the same coding scheme (e.g., Reed-Solomon or random linear codes) across all three minimizes code, improves efficiency, and ensures verifiability.
Serialization Format
Ethereum’s serialization format is only partially fixed today. With full account abstraction (EIP-7701) and higher gas limits, execution-layer data will need to fit into data blobs. Unifying serialization across the execution layer, consensus layer, and smart contract ABI using SSZ offers benefits:
- Easy decoding within smart contracts.
- Already widely used in the consensus layer.
- Similar to existing ABIs, simplifying tool adaptation.
Tree Structures
Transitioning from hexary Merkle Patricia trees to binary trees using better hash functions would improve prover efficiency and reduce data costs for light clients. Aligning tree structures across consensus and execution layers allows shared code for access and parsing.
The Path Forward: Embracing a Culture of Simplicity
Achieving simplicity requires a cultural shift. Its benefits—though profound—are often long-term and hard to quantify, while the costs of extra effort or forgone features are immediate. Yet, as Bitcoin demonstrates, simplicity pays dividends in resilience and accessibility.
We propose setting a clear maximum lines-of-code target for Ethereum’s core consensus specifications, aiming for Bitcoin-level elegance. Legacy handling code will remain but should reside outside the critical consensus path. By prioritizing encapsulated over systemic complexity and making design choices that offer clear guarantees, Ethereum can become both simpler and stronger.
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Frequently Asked Questions
Why is protocol simplicity important for Ethereum?
Simplicity reduces development costs, minimizes error risks, and lowers the attack surface. It makes the protocol more accessible to developers and researchers, fostering a healthier, more decentralized ecosystem.
How would transitioning to RISC-V improve Ethereum?
RISC-V is simpler and more efficient than the EVM. It removes interpreter overhead, boosts performance by up to 100x, and eliminates most precompiles. It also supports better developer tooling and language flexibility.
What happens to existing EVM contracts after a transition?
Existing contracts would run via an on-chain RISC-V-based EVM interpreter. This ensures backward compatibility while moving EVM code out of the consensus-critical green zone.
How can Ethereum unify its erasure coding schemes?
By adopting a single scheme (e.g., Reed-Solomon) for block verification, P2P broadcasting, and history storage, Ethereum reduces code duplication, improves data reuse, and ensures consistency.
What role does SSZ play in simplifying Ethereum?
SSZ provides a unified serialization format across execution, consensus, and ABI layers. It simplifies decoding, enhances tool compatibility, and reduces protocol complexity.
Will simplifying Ethereum compromise its functionality?
No. Simplification focuses on reducing unnecessary complexity, not removing features. By improving design and encapsulation, Ethereum can become more robust without sacrificing capability.