Written by: Shi Xingguo
Blockchain news is never in short supply. Compared to the recent Bitcoin plunge, what’s more explosive is Vitalik’s brief speech, which resonated loudly in the realm of Rollups, adding a tragic footnote to this technological route that has spanned over five years.
In February 2026, Vitalik Buterin posted a series of stern reflections on social media and the Ethereum research forum, undoubtedly a heavyweight bombshell thrown into the deep waters of the industry. It triggered a widespread “scaling roadmap earthquake” in public opinion. He pointed out that the current L2 ecosystem resembles a collection of independent islands connected by fragile bridges, rather than an organic part of the Ethereum system. This statement essentially publicly acknowledged and deeply analyzed the severe limitations of the “Rollup-centric” scaling solution established since 2020.
Looking back to 2020, when Vitalik published “The Ethereum Roadmap Centered on Rollups,” the consensus was to position the Ethereum mainnet as a security and settlement layer, outsourcing all execution functions to Rollups. However, five years later, Vitalik personally overturned this vision, openly stating that the original idea of viewing L2 as the “orthodox solution” for Ethereum scaling is no longer valid.
He made a highly damaging accusation: “If you create an EVM that processes 10,000 transactions per second, but its connection to L1 is only through a multi-signature bridge, then what you’re operating is nothing more than a centralized database disguised as a blockchain.” This argument directly hits the pain points of current mainstream L2s: even with high throughput, if their security inheritance mechanism remains based on “a small trusted committee,” they cannot fulfill Ethereum’s promise of decentralization. This directly strips away the glamorous exterior of Rollups, revealing that many Rollups are essentially off-chain processing or sidechains in disguise.
Once, Vitalik had a beautiful phased evolution plan for Rollups. In his 2022 maturity framework, he believed a true Rollup should progress from Stage 0 (fully centralized) to Stage 2 (fully decentralized). But reality is stark; by early 2026, data from L2 BEAT shows that the vast majority of active L2s are still at Stage 0 or Stage 1, even sinking deeper into centralized “auxiliary wheels.”
Rewind to 2020, a time filled with anxiety. Faced with a congested mainnet and high Gas fees, the Ethereum community made a tough strategic choice: to establish a “Rollup-centric” roadmap.
At that time, this was undoubtedly a rational “survival philosophy.” Reconstructing the complex underlying architecture of L1 would be a massive undertaking, risking systemic upheaval. The community chose a more pragmatic “outsourcing” strategy—moving complex computations off-chain (Layer 2) and only settling the final results on-chain.
This is akin to a bank opening numerous “franchise outlets” to ease the pressure on the head office. These outlets can process transactions quickly, but the final account reconciliation and fund settlement still return to the head office as the only window.
This “patchwork” survival philosophy temporarily alleviated performance anxiety but also brought limitations users could feel firsthand:
First, the fragmented experience. Users are forced to “hop” between different L2s, with assets fragmented across cross-chain bridges. Moving from Chain A to Chain B is as troublesome as traveling abroad—paying high “visa fees” (cross-chain fees) and enduring long waits.
Second, trust overdraft. To pursue efficiency, the ecosystem had to tolerate a decline in decentralization of L2s. This “trust the few” mentality has led most L2s to remain in early stages relying on multi-signature wallets for governance. Users think they are using blockchain, but in reality, they might just be using a bookkeeping system controlled by a few.
The most fundamental limitation is the physical performance bottleneck. No matter how optimized Rollups are, they still operate on a single lane (serial blockchain). When hundreds of L2s submit data simultaneously to L1, congestion shifts from on-chain to off-chain and interface layers. This architecture is destined to fail in supporting the real-time high concurrency needed for large-scale Web3 applications in the future.
This is a typical technical debt. Using centralized efficiency and off-chain processing to gain temporary smoothness, but this debt will eventually need repayment.
On the surface, Rollups are just the helplessness brought by the “survival philosophy,” but the decisive reason lies in the cold laws of physics. Why have L2s failed to achieve the initial scaling goals and caused unprecedented fragmentation in the Ethereum ecosystem? Because Rollups attempt to mask fundamental architectural flaws with software stacking.
The “single lane” dilemma of serial execution: Whether L1 or L2, the core gene of mainstream blockchains remains “sequential processing.” It’s like a single-lane road—no matter how many overpasses (L2) you build, as long as the final exit (state update) is unique, congestion is inevitable.
The essence of Rollup is a “compressor.” It indeed compresses a hundred transactions into one, but this only reduces data at the logical layer, not changing the “queuing” rules at the physical layer. When on-chain activity surges, L2 still has to bid for limited block space on L1. This architecture is inherently incapable of supporting high-frequency financial transactions or AI agents requiring millisecond responses. More importantly, in the future Web3 world, there will be not only transfers but also massive real-time state synchronization, which L2 cannot support at all.
The “island tax” of interoperability: The biggest side effect of L2s is splitting the originally unified Ethereum liquidity into dozens of isolated islands. This fragmentation affects not only user experience but also economic efficiency.
A typical example is the “seven-day challenge period” of Optimistic Rollup. For security, users withdrawing from L2 to L1 must wait a full 7 days. This is unimaginable in traditional finance—equivalent to a T+7 transfer. The resulting cross-chain bridges and liquidity aggregators essentially impose a “fragmentation business tax” on users. In pursuit of scalability, we sacrifice Web3’s most valuable feature: atomic composability.
The “involution” of business models: Under modular architecture,利益被切得太碎,导致协作极度困难。共享测序器(如 Astria)的关停就是一个缩影:大项目不愿意分享 MEV 利润,小项目无力承担基础设施成本。结果是,大家都在重复造轮子,建立一个个封闭的「局域网」,而不是共同构建一个开放的「广域网」。
The conclusion is harsh: running multiple virtual machines (L2) on a single-core CPU (serial L1) cannot produce the performance of a supercomputer. This industry needs not more patches but a fundamental overhaul.
The richness and complexity of Web3 applications far surpass cryptocurrencies. Elevating the perspective, this is actually the “generational leap” Web3 is experiencing. The pre-2020 era of cryptocurrencies, represented by Bitcoin, was the “Ledger” era, whose core task was precise recording of value transfers. Its serial processing mechanism was not only sufficient but also the best guarantee of security.
But the world has changed. We are on the eve of Web3’s new chapter. The industry’s core demand is no longer low-frequency bookkeeping but “high-frequency state computing.”
This shift stems from new real-world requirements for Web3. These demands feature high concurrency, real-time responsiveness, and complex interactions—traits that are difficult for any blockchain based on serial logic (L1 or L2) to support:
Imagine billions of AI agents collaborating autonomously on-chain, requiring millisecond-level responses like fiber-optic internet, not dial-up confirmation; RWA assets circulating globally, demanding 24/7 real-time certainty rather than long settlement waits; and micro-payments among countless devices in the DePIN network, which, if run on congested serial chains, would instantly break their economic models due to expensive Gas fees.
In this new paradigm, we seek not just “peak TPS” but “real-time certainty.” We need infrastructure capable of handling massive concurrency like internet servers while maintaining decentralization. This is not just a performance upgrade but a fundamental evolution from “batch processing civilization” to “real-time civilization.”
Faced with the physical barrier of single-core computing, industry consensus has gradually formed: patching at the application layer alone cannot break through the performance ceiling. True scaling requires a deep architectural overhaul. Parallel blockchain, exemplified by Paralism, is such an “architectural-level” solution.
Structural overhaul: From linear constraints to parallel pathways. Traditional blockchains suffer from their “single-threaded” nature, forcing all transactions into a queue on the same timeline. Paralism introduces a “Hyper Block + Solo Chains” dual-layer topology. This is not just adding lanes but creating a multi-dimensional execution space. Each sub-chain can operate as an independent sovereignty space, handling specific high-frequency tasks—be it instant DeFi matching or massive GameFi interactions. They process in parallel on their respective tracks without interference. This architecture grants blockchain a cloud-like horizontal scaling ability, no longer limited by single-point physical constraints.
Interaction evolution: Intrinsic consistency. The most ingenious aspect of parallel architecture is resolving the contradiction between sharding and unification. Paralism uses the Buddy consensus algorithm, enabling independent sub-chains to achieve atomic global state alignment within each short cycle via Hyper Blocks. This means cross-chain interactions no longer rely on fragile third-party bridges or long confirmation periods. Under Hyper Block rhythm, assets on Chain A and Chain B interact instantly and with strong consistency. This “native interoperability” restores Web3’s fund flows to the smoothness and security of internal bank clearing, completely ending the “cross-chain tax” era.
Business sovereignty: Rejecting “shoehorned fit.” In Ethereum’s paradigm, all applications must compromise to fit the EVM standard. Parallel architecture grants great adaptability to applications. They are no longer tenants under the landlord but architects with customization rights. High-frequency trading can pursue millisecond-level consensus; large asset storage can choose more robust security parameters. They share the mainnet’s liquidity and security without sacrificing their unique features.
This is not just a throughput increase but a fundamental leap from “ledger logic” to “computational logic.” It proves that the future of Web3 does not need more patches but a born parallel and robust backbone.
The tide of history has reached the threshold of Web3, with demands never slowing and accelerating iteration. Rollups are not a dead end; they are an expensive but necessary stress test. They have fulfilled their mission over five years—pushing the entire industry to physically confront the limits of layered patches, ultimately awakening in failure: attempting to stack skyscrapers on a single-threaded foundation is an impossible engineering dream.
Vitalik’s candidness in early 2026 coincides with the eve of Ethereum’s “Glamsterdam” upgrade, which is no coincidence. The upcoming “Glamsterdam” upgrade is essentially Ethereum’s “single-core overclocking + multi-threaded patches.” By squeezing execution time with ePBS and utilizing BALs to call multi-core power, Ethereum L1’s performance will reach unprecedented heights in 2026. This shows that Ethereum is still struggling and taking detours toward “parallelization.”
If Glamsterdam is an extreme struggle within the old serial paradigm, Paralism represents an evolution in another dimension—a “multi-core operating system” that refuses to queue from the gene level and is born parallel. It fundamentally establishes a data structure revolution from “serial” to “parallel.” For the ultimate future of Web3, Paralism embodies the most thorough engineering realization of this parallel logic at the blockchain’s core.
The future Web3 will be supported by a parallel underlying architecture capable of handling massive concurrency. “Getting off at the station” is not just about leaving the old route but about transferring to that high-speed parallel train heading toward large-scale commercial applications.
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