Weekly Token Unlocks: STRK Unlocks 4% of Circulating Supply but Price Surges

marsbitPubblicato 2026-05-10Pubblicato ultima volta 2026-05-10

Introduzione

Weekly Token Unlock Recap: STRK's 4% Supply Release Sees Price Rally This week's major token unlocks featured two prominent Ethereum scaling solutions: **Starknet (STRK):** Approximately 130 million STRK tokens (4% of circulating supply), valued at roughly $7.19 million, were unlocked. Starknet is an Ethereum Layer 2 network utilizing zk-STARKs technology to enable faster and cheaper transactions. Despite the significant supply increase, the token's price experienced an upward movement. **Arbitrum (ARB):** Around 95.87 million ARB tokens, worth approximately $13.71 million, were released. Arbitrum is another leading Ethereum Layer 2 solution that processes transactions off-chain before bundling them for Ethereum mainnet settlement, offering improved scalability and lower costs. The ARB token grants holders governance rights within the ecosystem. Both projects continue to play significant roles in scaling the Ethereum network.

Starknet

Project Twitter: https://twitter.com/Starknet

Project Website: https://starknet.io/

Tokens Unlocked This Round: 130 million

Value of Unlocked Tokens: Approximately $7.19 million USD

Starknet is a Layer 2 for Ethereum, utilizing zk-STARKs technology to make Ethereum transactions faster and cheaper. Its parent company, StarkWare, was founded in 2018 and is headquartered in Israel. StarkWare's main products include Starknet and StarkEx. By using STARKs, Starknet verifies transactions and computations without requiring every network node to validate each operation. This significantly reduces the computational load and increases the throughput of the blockchain network.

Arbitrum

Project Twitter: https://twitter.com/arbitrum

Project Website: https://arbitrum.io/

Tokens Unlocked This Round: 95.87 million

Value of Unlocked Tokens: Approximately $13.71 million USD

Arbitrum is an Ethereum Rollup designed to enhance Ethereum's scalability. It aggregates and processes transactions off-chain before submitting a single transaction to the Ethereum mainnet. This means users can enjoy faster and cheaper transactions while still benefiting from the security and decentralization of the Ethereum network. The native token of Arbitrum is ARB. ARB holders can participate in the decision-making process, such as proposing and voting on protocol upgrades or changes.

Domande pertinenti

QAccording to the article, which project will unlock 1.3 billion tokens this week?

AAccording to the article, Starknet (STRK) will unlock 1.3 billion tokens this week.

QWhat is the approximate USD value of Arbitrum's (ARB) token unlock mentioned in the article?

AThe approximate USD value of Arbitrum's token unlock mentioned in the article is $13.71 million.

QWhat core technology does Starknet use to scale Ethereum transactions?

AStarknet uses zk-STARKs technology to scale Ethereum transactions, making them faster and cheaper.

QWhat is the primary purpose of the Arbitrum network as described in the text?

AThe primary purpose of the Arbitrum network is to increase Ethereum's scalability by aggregating and processing transactions off-chain before submitting them to the Ethereum mainnet.

QWhat role do ARB token holders have within the Arbitrum ecosystem?

AARB token holders can participate in governance, such as proposing and voting on protocol upgrades or changes within the Arbitrum ecosystem.

Letture associate

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

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Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

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3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

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