Weekly Token Unlocks: ZRO and ZK Unlock Over 3% of Circulating Supply

marsbitPubblicato 2026-02-15Pubblicato ultima volta 2026-02-15

Introduzione

This week's major token unlocks feature significant releases from LayerZero (ZRO) and ZKsync (ZK), each exceeding 3% of their circulating supply. LayerZero will unlock 25.71 million ZRO tokens, valued at approximately $48.85 million. LayerZero is an omnichain interoperability protocol designed for lightweight cross-chain messaging, offering secure and configurable trustless communication. Concurrently, ZKsync will unlock 173 million ZK tokens, with an approximate value of $3.98 million. Developed by Matter Labs, ZKsync is a Layer 2 scaling solution that utilizes zero-knowledge proofs to maintain the security of the underlying blockchain, with all funds held on-chain and computation executed off-chain. Both projects have provided detailed token release schedules accompanying the announcements.

Layerzero

Project Twitter: https://x.com/LayerZero_Core

Project Website: https://layerzero.network/

This Unlock Amount: 25.71 million tokens

This Unlock Value: Approximately $48.85 million

LayerZero is an omnichain interoperability protocol designed for lightweight cross-chain message delivery. It provides trusted and guaranteed messaging with configurable trustlessness.

Specific release curve is as follows:

ZKsync

Project Twitter: https://x.com/zksync

Project Website: https://zksync.io/

This Unlock Amount: 173 million tokens

This Unlock Value: Approximately $3.98 million

zkSync is a Layer 2 scaling solution developed by Matter Labs that preserves the underlying blockchain's security properties by leveraging the latest generation of succinct zero-knowledge proofs. All funds in zkSync are held by smart contracts on the main chain, while computation and storage are performed off-chain.

Specific release curve is as follows:

Domande pertinenti

QWhat is the total number of ZRO tokens being unlocked this week and what is their approximate USD value?

A25.71 million ZRO tokens are being unlocked this week, with an approximate value of $48.85 million.

QWhat is the primary function of the LayerZero protocol?

ALayerZero is an omnichain interoperability protocol designed for lightweight message passing across chains, providing reliable and guaranteed messaging with configurable trustlessness.

QHow many ZKsync tokens are scheduled for unlocking this week and what is their estimated worth?

A173 million ZKsync tokens are being unlocked this week, with an estimated value of $3.98 million.

QWhat is zkSync and which organization developed it?

AzkSync is a Layer 2 scaling solution developed by Matter Labs. It uses zero-knowledge proofs to preserve the security properties of the underlying blockchain, with funds held in smart contracts on the main chain while computation and storage are executed off-chain.

QWhat percentage of the circulating supply do the unlocked ZRO and ZK tokens represent, as indicated by the article's title?

AThe unlocked tokens for both ZRO and ZK represent over 3% of their respective circulating supplies.

Letture associate

Hands-on with Hunyuan Hy3 Preview: Tencent's AI, Finally Competitive?

Tencent's Hunyuan AI team has released its latest language model, Hy3 preview, marking a significant step forward for the company's AI capabilities. With 295B total parameters and support for 256K context length, the model employs a mixture-of-experts architecture. It shows improvements in complex logic, instruction following, contextual learning, code generation, and agent task execution. In testing, Hy3 preview demonstrated strong performance in multi-step logical reasoning but showed occasional instability in identifying traps in trick questions. It performed well in extracting key information from disordered meeting transcripts and accurately followed new linguistic rules. As an AI agent, it successfully built functional applications like a Snake game and generated data analysis dashboards, though it sometimes fell short in fully completing complex open-ended tasks. In natural language use, it produced coherent and stylistically appropriate narratives with reduced “AI-like” tone. Priced competitively, Hy3 preview is already integrated into Tencent’s key products, including Tencent Cloud and WorkBuddy. While not leading in every benchmark, it represents a solid, practical model that signals Tencent’s renewed momentum in AI development.

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Hands-on with Hunyuan Hy3 Preview: Tencent's AI, Finally Competitive?

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From Theft to Re-entry: How Was $292 Million "Laundered"?

A sophisticated crypto laundering operation was executed following the $292 million hack of Kelp DAO on April 18. The attack, attributed to the North Korean Lazarus group, began with anonymous infrastructure preparation using Tornado Cash to fund wallets untraceably. The hacker exploited a vulnerability in Kelp’s cross-chain bridge, stealing 116,500 rsETH. To avoid crashing the market, the attacker used Aave and Compound as laundering tools—depositing the stolen rsETH as collateral to borrow $190 million in clean, liquid ETH. This move triggered a bank run on Aave, causing an $8 billion drop in TVL. After consolidating funds, the attacker fragmented them across hundreds of wallets to evade detection. A major breakpoint was THORChain, where over $460 million in volume—30 times its usual activity—was processed in 24 hours, converting ETH into Bitcoin. This shift to Bitcoin’s UTXO model exponentially increased tracing complexity by shattering funds into countless untraceable fragments. The final destination was Tron-based USDT, the primary channel for illicit crypto flows. From there, funds were cashed out via OTC brokers in China and Southeast Asia, using unlicensed underground banks and UnionPay networks outside Western sanctions scope. Ultimately, the laundered money supports North Korea’s weapons programs, which rely heavily on crypto hacking for foreign currency. The incident underscores structural challenges in DeFi: its openness, composability, and lack of central control make such laundering not just possible, but inherently difficult to prevent.

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From Theft to Re-entry: How Was $292 Million "Laundered"?

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Behind DeepSeek V4's Stunning Debut: Silicon Valley Is 'Building Walls,' China Is 'Paving Roads'

China's AI landscape is witnessing a strategic divergence from Silicon Valley’s closed-source competition to a collaborative open-source ecosystem. On April 24, DeepSeek released V4, a top-ranked open-source model on Hugging Face, featuring breakthroughs like million-token context length with minimal KV cache and native support for domestic chips like Huawei’s Ascend. Similarly, Kimi’s K2.6, released days earlier, also adopted open-source principles. Unlike U.S. giants such as OpenAI and Anthropic—locked in revenue disputes and tactical product clashes—Chinese firms embrace shared innovation. DeepSeek and Kimi openly build on each other’s advances, like the MLA architecture and Muon optimizer, avoiding redundant R&D and driving down costs. DeepSeek V4 focused on pushing base model capabilities, while Kimi specialized in Agent-based applications. Although U.S. firms lead in revenue and valuation, China’s open-source models achieve comparable performance at a fraction of the cost (e.g., DeepSeek V3 trained for $5.58M vs. GPT-5’s $500M+). With token usage growing exponentially, China’s collaborative model promises scalable, affordable AI built on domestic hardware, shaping a more accessible path to AGI.

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Behind DeepSeek V4's Stunning Debut: Silicon Valley Is 'Building Walls,' China Is 'Paving Roads'

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OpenClaw vs. Hermes: Which One Is Right for You?

Two leading AI agent projects, OpenClaw and Hermes, represent a fundamental divergence in design philosophy rather than just a feature competition. OpenClaw, a GitHub phenomenon, prioritizes user control and customization, offering a powerful, flexible platform for building and orchestrating agents. It boasts a massive ecosystem with over 44,000 skills, extensive model flexibility (supporting Anthropic, OpenAI, and others), and deep integrations across multiple messaging platforms. In contrast, Hermes Agent, developed by Nous Research, champions automation and efficiency. It is designed for lower cost and a lower barrier to entry, learning and improving automatically from user workflows. It runs tasks in isolated environments for security and offers significantly lower token costs out-of-the-box. The choice between them mirrors historical tech divides like Windows vs. Mac. OpenClaw is for users who want maximum control, customization, and don't mind a complex setup. Hermes is the smarter default for those seeking an affordable, easy-to-use agent that learns autonomously. The real competition is not about which is better, but which philosophy—a programmable personal OS or a self-evolving work proxy—better suits the user's needs for control, cost, and ease of use.

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OpenClaw vs. Hermes: Which One Is Right for You?

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Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

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Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

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156 Totale visualizzazioniPubblicato il 2024.12.10Aggiornato il 2025.03.21

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