Weekly Token Unlocks: RIVER Unlocks Nearly 8% of Circulating Supply Tokens

marsbitPubblicato 2026-01-18Pubblicato ultima volta 2026-01-18

Introduzione

This week's major token unlocks feature significant releases from four projects, totaling over $129 million in value. **River** leads with an unlock of 2.75 million tokens (approx. $54.69M), representing nearly 8% of its circulating supply. The project is building a chain-abstracted stablecoin system. **LayerZero** will unlock 25.71 million tokens (approx. $42.68M). It is a full-chain interoperability protocol designed for lightweight cross-chain messaging. **Plasma** is set to unlock 88.89 million tokens (approx. $12.7M). It is a Layer 1 blockchain specifically designed for global stablecoin payments. **Humanity Protocol** will unlock 105 million tokens (approx. $19.6M). It is an anti-Sybil blockchain network providing human identity verification. All projects have provided detailed release schedules for their respective token vesting curves.

River

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

Project Website: https://www.river.inc/

This Unlock Amount: 2.75 million tokens

This Unlock Value: Approximately $54.69 million

River is building a chain-abstracted stablecoin system that connects assets, liquidity, and yields across multiple blockchains. Through its core stablecoin satUSD, users can achieve yield, leverage, and expansion across different ecosystems.

Specific release curve is as follows:

Layerzero

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

Project Website: https://layerzero.network/

This Unlock Amount: 25.71 million tokens

This Unlock Value: Approximately $42.68 million

LayerZero is an omnichain interoperability protocol designed for lightweight message passing across chains. LayerZero provides reliable and guaranteed message delivery with configurable trustlessness.

Specific release curve is as follows:

Plasma

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

Project Website: https://www.plasma.to/

This Unlock Amount: 88.89 million tokens

This Unlock Value: Approximately $12.70 million

Plasma is a Layer 1 blockchain specifically built for global stablecoin payments. It combines high throughput, native stablecoin functionality, and full EVM compatibility, providing the foundational infrastructure for developers to build the next generation of payment and financial applications. It also supports customizable gas tokens, zero-fee USDT transfers, and private payments.

Specific release curve is as follows:

Humanity

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

Project Website: https://www.humanity.org/

This Unlock Amount: 105 million tokens

This Unlock Value: Approximately $19.60 million

Humanity Protocol is a Sybil-resistant blockchain network that provides developers with a unique human identity verification mechanism and gives users complete ownership of their data and identity.

Specific release curve is as follows:

Domande pertinenti

QWhat is the amount of tokens being unlocked for River and what percentage of the circulating supply does it represent?

ARiver is unlocking 2.75 million tokens, which represents nearly 8% of its circulating supply.

QWhat is the primary function of LayerZero's protocol?

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

QWhat unique feature does Plasma blockchain offer for stablecoin transactions?

AThe Plasma blockchain supports zero-fee USDT transfers and private payments, among other features tailored for global stablecoin payments.

QWhat is the core purpose of the Humanity Protocol?

AHumanity Protocol is an anti-Sybil blockchain network that provides developers with a unique human verification mechanism and gives users full ownership of their data and identity.

QWhat is the total value of the tokens being unlocked for Plasma in this event?

AThe tokens being unlocked for Plasma are valued at approximately $12.7 million USD.

Letture associate

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

U.S. Government Bans Foreign Access to Fable 5, Anthropic Issues Rebuttal On June 12th, the U.S. government ordered AI company Anthropic to immediately suspend all foreign access—including foreign nationals within the U.S. and Anthropic's own foreign employees—to its newly released Fable 5 and Mythos 5 AI models, citing national security concerns. This forced Anthropic to temporarily disable access to both models for all users globally, as it cannot technically differentiate user nationality at scale. The models, released just three days prior, represent Anthropic's highest public capability tier. Fable 5 is the first publicly available model from the advanced "Mythos" family, while Mythos 5 is a less-restricted version for approved cybersecurity and critical infrastructure partners. The government's directive was reportedly triggered by claims from another company that it could "jailbreak" Mythos 5, raising alarm within the Trump administration. Anthropic, in a detailed public statement, strongly challenged this rationale. The company argues the demonstrated "jailbreak" is a narrow, non-generalized technique that merely involves identifying minor, known software vulnerabilities—a capability common to other publicly available models like OpenAI's GPT-5.5 and routinely used by cybersecurity defenders. Anthropic stated it has complied with the order but disagrees with the government's standard, warning that applying it industry-wide would halt all new frontier model deployments. The company criticized the lack of a transparent, fact-based legal process and expressed confidence the situation stems from a misunderstanding. It is working to restore access and will release more technical details within 24 hours. Other Anthropic models remain unaffected.

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U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

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The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

**Raydium Exploit Reveals DeFi's Hidden Risk: Forgotten "Zombie" Contracts** A recent attack on Raydium's deprecated V3 AMM pools resulted in a loss of approximately $1.34 million. The hacker exploited pools that were no longer supported by Raydium's current UI or SDK but remained fully functional and accessible on-chain. This incident highlights a critical, often overlooked category of risk in DeFi: inactive or legacy smart contracts that projects fail to properly decommission. Since March 2025, there have been at least 8 publicly reported attacks targeting such abandoned contracts, with total losses around $10.8 million. Including older pools and deprecated features, the count rises to 10 incidents with roughly $22.5 million in losses. These "zombie contracts" represent a lifecycle management failure rather than a code vulnerability, yet they are typically misclassified under general "code bug" categories in security reports, masking the true scale of the problem. The root cause is that projects often merely document a contract as "deprecated" without taking essential technical steps to secure it: withdrawing remaining assets, disabling external call functions, and implementing ongoing monitoring. These forgotten, under-monitored components become prime targets for attackers. To address this, the industry needs to recognize "zombie contracts" as a distinct risk category and establish standardized decommissioning protocols. Essential steps should include: 1) a formal retirement announcement, 2) removal of all front-end integrations, 3) withdrawal of locked assets, 4) disabling key contract functions, 5) ongoing security monitoring, 6) clear user communication, and 7) a post-mortem analysis. The value of a DeFi project lies not only in its current TVL but also in the security of its historical codebase, which has now become a new attack surface.

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The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

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Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

Robots have started to 'consume data,' driving the formation of a new industrial supply chain focused on producing training data for embodied AI. Unlike large language models, which are trained on vast internet text corpora, embodied AI models face a 'data desert' in the physical world. This has created a massive demand for first-person perspective video data (Ego Data), captured by workers wearing cameras in places like Indian garment factories. Companies like Neocambrian AI are establishing 'data factories' where workers perform standardized tasks (e.g., sorting clothes, kitchen organization) to generate thousands of hours of video. Research, such as NVIDIA's EgoScale, demonstrates that scaling this human demonstration data predictably improves robot performance, particularly for dexterous manipulation. This has validated a training path combining large-scale human data for pre-training with smaller amounts of robot-specific data for fine-tuning. The value of different data types varies significantly, forming a 'data pyramid.' The base consists of low-cost, large-scale internet and Ego Data. Higher layers include more expensive motion-capture data (e.g., from data gloves), simulation/synthetic data, and the most costly and scarce layer: real robot teleoperation data. This demand has spawned a layered ecosystem of data suppliers: low-cost data factories, motion capture and alignment specialists, robot-native teleoperation service providers, simulation data companies, and platforms aiming for data standardization. Robot companies themselves are adopting a 'layered procurement' strategy: outsourcing generic Ego Data while building in-house capabilities for robot-specific adaptation data and the critical deployment/failure data generated in real-world applications. The industry is shifting focus from hardware and basic mobility to the data pipelines required for general-purpose capability. While parallels exist to data labeling companies like Scale AI in the LLM boom, the physical complexity of robot data—involving action success ambiguity and sim-to-real gaps—requires more integrated solutions for data collection, annotation, and a continuous feedback loop. The race is on to build the data engines that will teach robots to operate reliably in the unstructured real world.

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Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

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550 Totale visualizzazioniPubblicato il 2026.01.16Aggiornato il 2026.06.02

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