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:

Crypto di tendenza

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

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit45 min fa

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

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Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit49 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit49 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit49 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

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589 Totale visualizzazioniPubblicato il 2026.01.16Aggiornato il 2026.06.02

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