Optimistic Rollups (OR), once hailed as a revolutionary scaling solution for layer one (L1) blockchains, have seen their spotlight somewhat dim in recent months. However, according to industry experts, their significance remains paramount, with data backing their continued dominance in the layer two (L2) ecosystem.

Felipe Argento, Co-Founder of Cartesi, a platform focusing on application-specific rollups, emphasizes the enduring role of ORs. “The overwhelming majority of TVL (Total Value Locked) on L2 solutions is still secured by Optimistic Rollups,” Argento states. “This statistic alone demonstrates that they remain a fundamental part of the multi-layer blockchain infrastructure.”

Argento’s observation aligns with reports that show ORs continue to maintain a large portion of the L2 market share. Data pulled from sources that analyze TVL in L2 solutions reinforces the fact that although other L2 solutions are emerging, that optimistic rollups, remain a giant in the sector.

The Cartesi co-founder attributes the perception of fading hype to the inherent challenges of blockchain development. “Unfortunately, generating hype is far easier than writing robust, production-level code, which continues to be a persistent issue in our industry,” he notes. This reality means that flashy, less mature technologies can sometimes capture public attention, overshadowing the steady progress of established solutions like ORs.

However, Argento, who also serves as the Cartesi Foundation Advisor, insists Optimistic Rollups (ORs) remain, and will continue to be, a fundamental tool in scaling Ethereum. His assertions are supported by a Chainalysis article comparing ORs and zero-knowledge (ZK) rollups. According to data in the Sept. 10, 2024, article, the total value locked (TVL) bridged between Optimistic Rollups and Ethereum was approximately $186.4 billion, compared to $20.8 billion for ZK-rollups.

Similarly, data from Dune Analytics shows that while the TVL of Optimistic Rollups dropped from an August 2024 high of more than $12 billion to approximately $6.55 billion by Feb. 10, 2024, it was still 15 times greater than that of ZK-rollups. This appears consistent with Argento’s assertion that ORs remain dominant despite losing “mindshare to solutions that are essentially pipe dreams or distant promises.”

Meanwhile, Argento claims Cartesi’s technology is the only one that allows Linux to run onchain, enabling developers to use familiar programming tools for blockchain applications compatible with Ethereum. He told Bitcoin.com News that the technology underpins two products: Cartesi rollups, which support stateful applications, and Cartesi coprocessors, which handle stateless computation. These coprocessors offload complex tasks from Solidity smart contracts, enhancing efficiency and security, and allowing applications to remain primarily on layer one (L1).

Turning to the burgeoning intersection of artificial intelligence (AI) and cryptocurrency, which promises to yield groundbreaking solutions, Argento urged caution. He argues that implementing these technologies onchain may encounter considerable technical hurdles that undermine their prospects. He explained:

Running AI fully onchain remains quite challenging from a technical perspective. Most projects encounter two major issues when attempting to transition from hype or narrative into real-world implementation: compatibility and scalability.

Argento’s perspective aligns with his earlier emphasis on the importance of robust, production-level code over fleeting narratives. He argues that many projects combining AI and crypto struggle to bridge the gap between theoretical concepts and practical applications.

When asked about the perceived risk posed by L2 chains to native chains, the Cartesi co-founder said blockchain software development, particularly for L2 solutions, demands extreme caution and rigorous testing. This is sensible given the immense responsibility of managing financial assets.

He also highlights the importance of minimizing new trust assumptions, aiming for solutions that rely only on the fundamental requirement of at least one honest actor. Furthermore, he argues that leveraging proven, “battle-tested” Web2 software can enhance security by avoiding the risks associated with reinventing established tools.

Argento concludes that with careful development and a focus on minimizing additional trust requirements, L2 solutions do not inherently create security liabilities. Instead, they can potentially improve overall security by integrating robust, existing software.

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