ZkSync head of product sees 'starfield of 10x moments' for Layer 3

THE BLOCKPublished on 2022-10-01Last updated on 2022-10-01

Abstract

ZkSync released details of what it believes could unlock crypto's "10x moments" ahead of its Layer 2 mainnet launch.

ZkSync released details of what it believes could unlock crypto's "10x moments" ahead of its Layer 2 mainnet launch, highlighting its new Layer 3 technology.
These 10x moments – akin to the internet explosion from 1995 to 2005 – will be enabled by Layer 3s, and in the case of zkSync, “fractal hyper chains,” ZkSync’s Chief Product Officer Steve Wilhelm said in an interview with The Block.
There are a vast number of similarities between the early days of the internet and where the blockchain industry is today, Wilhelm said.
In 1995, the average internet speed was around 10kB and there were fewer than 30,000 websites. In just 10 years, those speeds had vastly increased, ease of use to build had improved, and the number of websites created surpassed 6 billion.
The 10x moments are defined by improvements in the following areas: Speed, the costs to build, the ease of building, and trust, Wilhelm said.
ZkSync’s Layer 2 mainnet launches on Oct 28. Upon launch, its Layer 2 solution is expected to increase transactions per second (TPS) by around 10-20 times, compared with Ethereum, and enable developers to build zero knowledge-based applications using the industry standard Solidity language. This obviates the difficult task of learning a native ZK language to build applications.
“Think of Layer 2 as one-blockchain-size-fits-them-all. It scales Ethereum by anywhere from 10 to 100x. When you get up into Layer 3, I would say it’s a starfield of 10x moments,” Wilhem said on The Scoop.
Layer 3s could enable massive increases in TPS, native bridging that removes non-native bridge hacks, and unlock brand new uses for blockchain technology via application customization.
At the Layer 3 level, developers can choose what data they want for security and privacy, enabling huge increases in TPS by allowing developers to customize their chain exactly to their project's needs.
Wilhelm used the analogy of a game to illustrate the concept. Within a game environment, it’s important that credit card information has the highest security and privacy guarantees to ensure no user information is stolen. Conversely, specific game data like the color of an in-game item does not need to have the same security or privacy guarantees, he said.
Layer 3s give developers the ability to choose what specific data they pay for to have on-chain security from Ethereum. The data that is not can be ported off-chain to a validium, which reduces transaction fees to practically zero.
ZKSync’s solution will also aim to address bridge hacks, a primary concern plaguing the industry with more than $1.4 billion stolen and counting.
“We have found a way to make the bridges between blockchains and Layer 3 to be native, and that’s huge because that’s a 10x moment for security, and that’s because of the way our prover works. So if all the blockchains in Layer 3 are approved by one proven technology, then they all share what’s called a circuit, and as long as you’re on that circuit, then all bridges are native.”
The ability to code using native Solidity, see huge increases in TPS, and mitigate one of the largest security issues in the industry are three 10x moments zkSync and its Layer 3 architecture provide.
The final 10x moment of improving ease of use for developers comes from its LLVM compiler, which enables the building of applications in almost any coding language – all while tapping into the above Layer 3 benefits.
“I can see a day when we open our browser and instead of seeing a lock icon in the top left... we see the Ethereum icon — that’s the sort of stuff that happens up because of Layer 3,” Wilhem said.

Trending Cryptos

Related Reads

Beyond the Model Lies the Harness: Deepseek Enters the Arena, Why Has the Main Battlefield of China's AI Competition Shifted?

In mid-to-late May 2026, Deepseek internally established a new Harness team focused on code agent products, internally benchmarked against Anthropic's Claude Code. This move, marked by the formula "Model + Harness = Agent" in their job postings, signals a major shift in China's AI competition: the main battlefield is transitioning from developing large models to building toolchains and achieving workplace integration. Deepseek's direct involvement in Harness development aims to secure control over interface design and training data feedback loops, moving beyond open-sourcing powerful models. Harness, the runtime infrastructure for AI agents, handles everything beyond model reasoning—task orchestration, tool calling, context management, safety checks, and error recovery. It is crucial because agent products are not just outputs of model capability but also training grounds for it. Real-world task failures recorded by Harness can feed back into model training, creating a flywheel effect. Engineering Harness is more critical than optimizing prompts, as poor context management or error handling can drastically reduce agent success rates in multi-step, real-world scenarios. This shift is not isolated. Other major Chinese tech companies are also pursuing differentiated toolchain strategies. Tencent leverages its enterprise ecosystem (WeChat Work, Tencent Cloud) to build connectors for organizational-level AI collaboration and complex task delivery. Alibaba focuses on lowering automation barriers on the web with a front-end, browser-based GUI Agent framework, PageAgent. This diversification shows the industry recognizes that success lies not in a perfect general agent, but in vertically focused solutions built with robust engineering. The trend is validated by overseas success, such as Poland's Viktor, an AI coworker on Slack achieving $20M ARR by autonomously executing complex, multi-step tasks. This proves a shift in enterprise willingness to pay—from "AI-assisted generation" to "AI-autonomous execution." As Harness matures to provide safety guards and reliability, AI transitions from a human-supervised intern to an independent outsourcer. The competition now faces key engineering challenges: preventing "token explosion" through intelligent context compression, and building "thick frameworks" with features like sandbox isolation and checkpoint recovery for enterprise-grade stability. Geopolitical restrictions on tools like Claude Code further create a significant market vacuum for domestic solutions like Deepseek's Harness. For enterprises and developers, the focus must shift from comparing model benchmarks to evaluating a vendor's engineering capabilities, error recovery mechanisms, context management, and ecosystem compatibility when choosing AI products and platforms.

marsbit52m ago

Beyond the Model Lies the Harness: Deepseek Enters the Arena, Why Has the Main Battlefield of China's AI Competition Shifted?

marsbit52m ago

Soaring Export Data for Memory Chips, Market Is Redefining the Valuation Anchor for Memory Stocks

Korean storage export data for the first 20 days of June shows substantial year-on-year increases in both value and price-per-kilogram for categories like DRAM, NAND, and SSDs. This signals a potential shift beyond simple demand recovery, indicating rising prices and a product mix shift towards higher-value items, possibly influenced by AI infrastructure needs. A key point is that the surge in price-per-kilogram is not simply a uniform chip price hike. It reflects a combination of actual price increases and, more importantly, an export structure increasingly dominated by high-value-density products like HBM (High-Bandwidth Memory) and advanced DRAM, which are critical for AI servers. This suggests AI-driven demand may be spilling over from just HBM into broader memory markets. SK Hynix stands to benefit directly due to its leading HBM position. For Samsung and Micron, the implication is potential for greater margin elasticity if the tightness in high-end memory spreads to enterprise SSD and NAND prices. However, the storage sector remains cyclical. Risks include supply expansion, inventory changes, and potential slowdowns in broader AI capital expenditure. Ultimately, while the strong export data supports upward revisions for storage company earnings and fuels discussion of an "AI infrastructure bottleneck premium," a definitive valuation shift from a cyclical to a structural story depends on upcoming quarterly reports. Investors need confirmation from SK Hynix, Samsung, and Micron that improvements in average selling prices, product mix, and, crucially,毛利率 are sustained over multiple quarters.

marsbit2h ago

Soaring Export Data for Memory Chips, Market Is Redefining the Valuation Anchor for Memory Stocks

marsbit2h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片