Déblocage de jetons hebdomadaire : 14 projets débloquent 110 millions de dollars de jetons

marsbitPubblicato 2026-02-21Pubblicato ultima volta 2026-02-21

Introduzione

Cette semaine, 14 projets de cryptomonnaie débloqueront des jetons d'une valeur totale de 110 millions de dollars. Parmi eux, trois projets majeurs se distinguent : Grass, basé sur Solana, débloquera 57,29 millions de jetons (environ 11 millions de dollars). Ce projet combine l'IA et la technologie DePIN pour créer une couche de données décentralisée pour l'entraînement des modèles d'IA. EigenLayer, un protocole de restaking sur Ethereum, débloquera 36,82 millions de jetons (environ 7,26 millions de dollars). Il permet aux utilisateurs de restaker leur ETH pour étendre la sécurité économique à d'autres applications. SoSoValue, une plateforme de recherche d'investissement alimentée par l'IA, débloquera 13,32 millions de jetons (environ 4,99 millions de dollars). Elle vise à combiner l'efficacité de la finance centralisée (CeFi) avec la transparence de la finance décentralisée (DeFi).

Grass

Twitter du projet : https://x.com/grass

Site officiel du projet : http://grass.io/

Quantité débloquée cette fois : 57,29 millions de jetons

Montant débloqué cette fois : environ 11 millions de dollars

Grass est un projet déployé sur Solana combinant les technologies IA, Depin et Solana, positionné comme la couche de données pour l'IA. En tant que réseau décentralisé, Grass vise à fournir les données nécessaires à l'entraînement des modèles d'IA en accédant au web public.

Courbe de libération spécifique :

EigenLayer

Twitter du projet : https://x.com/eigenlayer

Site officiel du projet : https://www.eigenlayer.xyz/

Quantité débloquée cette fois : 36,82 millions de jetons

Montant débloqué cette fois : environ 7,26 millions de dollars

EigenLayer est un protocole construit sur Ethereum, introduisant le concept de restaking, une nouvelle primitive dans la sécurité économique cryptographique. Cette primitive permet de restaker l'ETH au niveau de la couche de consensus. Les utilisateurs qui stakent de l'ETH peuvent choisir de rejoindre les contrats intelligents d'EigenLayer pour restaker leur ETH et étendre la sécurité économique cryptographique à d'autres applications sur le réseau.

Courbe de libération spécifique :

SoSoValue

Twitter du projet : https://x.com/SoSoValueCrypto

Site officiel du projet : https://sosovalue.com/

Quantité débloquée cette fois : 13,32 millions de jetons

Montant débloqué cette fois : environ 4,99 millions de dollars

SoSoValue est une plateforme de recherche d'investissement alimentée par l'intelligence artificielle, qui combine l'efficacité de la CeFi avec la transparence de la DeFi, visant à résoudre les défis tels que la surcharge d'information sur le marché des cryptomonnaies et la gestion d'actifs multi-chaînes.

Courbe de libération spécifique :

Crypto di tendenza

Domande pertinenti

QQuel est le montant total débloqué en tokens cette semaine pour les 14 projets mentionnés ?

ALe montant total débloqué est de 1,1 milliard de dollars américains.

QSur quel réseau blockchain le projet Grass est-il déployé et quel est son objectif principal ?

AGrass est déployé sur Solana et se positionne comme la couche de données pour l'IA, visant à fournir des données pour l'entraînement des modèles d'IA via un réseau décentralisé.

QQuelle est la nouveauté conceptuelle introduite par le protocole EigenLayer ?

AEigenLayer introduit le concept de 'restaking' (nouveau primitif dans la sécurité économico-cryptographique), qui permet de restaker des ETH sur la couche de consensus et d'étendre la sécurité économico-cryptographique à d'autres applications.

QQuel est le principal défi que SoSoValue cherche à résoudre sur le marché des cryptomonnaies ?

ASoSoValue cherche à résoudre les défis de la surcharge d'information et de la gestion d'actifs multichaînes sur le marché des cryptomonnaies.

QCombien de tokens Grass seront débloqués lors de cet événement et quelle est leur valeur approximative ?

A57,29 millions de tokens Grass seront débloqués, d'une valeur approximative de 11 millions de dollars américains.

Letture associate

UNI Doubles in Two Months Against the Trend: A 5-Year-Overdue Value Realization

Amidst a generally stagnant crypto market in June and July, UNI, the governance token of Uniswap, saw a significant surge, nearly doubling in price from around $2.3 to $4.6. This rally represents a delayed but significant value reassessment, triggered by the practical implementation of its long-debated "fee switch" mechanism. The key turning point was the on-chain execution of the UNIfication proposal in December 2025. It activated a protocol fee on select pools, directed Unichain sequencer revenue (net of costs) to a communal treasury, executed a one-time burn of 100 million UNI, and established a system where all protocol revenue flows into a "TokenJar" contract. This treasury has a single exit: purchasing and permanently burning UNI via a "Firepit" contract. Initially, the market reacted tepidly as the generated revenue and corresponding burn rate were modest. The narrative shifted dramatically in July 2025 with two major developments. First, the launch of Robinhood Chain, tailored for tokenized stocks, rapidly became a primary source of volume and fees for Uniswap, at one point contributing nearly half of its weekly fees. Second, governance votes successfully expanded the fee mechanism to v4 pools and initiated a temperature check for fees on Robinhood Chain. The activation of v4 fees caused the protocol's daily revenue earmarked for UNI burns to nearly triple. The core of UNI's recent price action is the transition from a pure governance token to a cash-flow asset with a permanent, protocol-funded buyer. Its effectiveness is amplified by UNI's mature and widely distributed supply, with no major impending unlocks to dilute the impact of the buybacks. The sustainability of this rally now hinges on whether the transaction volume, particularly on Robinhood Chain, persists after its initial gas subsidies expire, determining if this is a genuine value realization or a subsidy-fueled spike.

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UNI Doubles in Two Months Against the Trend: A 5-Year-Overdue Value Realization

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Breaking: Google Earth Urgently Pulls Back Nano Banana 2 Image Generation Feature!

Google Earth's newly launched "Create image" feature, powered by the Nano Banana 2 AI image generation model, was abruptly withdrawn shortly after its release due to being "played" by users. The feature allowed users to generate and overlay AI-created visuals directly onto real-world satellite and 3D maps in Google Earth. The tool enabled creative applications like historical recreations (e.g., visualizing ancient Pompeii), generating informational graphics for landmarks, and envisioning architectural projects or futuristic cityscapes on real terrain. It operated under "geospatial grounding," meaning the AI respected the underlying geography, topography, and perspective of the chosen map view. The model also integrated with Gemini to retrieve relevant factual information. However, upon release, users quickly tested its limits. A prominent example involved reimagining Philadelphia's historic Independence Hall as a post-apocalyptic ruin overrun by "happy" zombies, evil clowns, and giant alien mechs. This highlighted both the feature's playful potential and its risks regarding the generation of inappropriate or misleading content on realistic maps, leading to its swift temporary removal. Google stated it would re-release the feature after implementing "enhanced guardrails." Analysts note this move strategically leverages Google's vast proprietary geospatial data, positioning its AI not just for artistic generation but for spatially accurate world visualization—a unique advantage in the competitive AI image generation landscape.

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Altman Admits: Overestimated AI Snatching Jobs! Huang Renxun: The Unemployment Narrative Is Completely Backwards

Sam Altman has revised his earlier predictions about AI rapidly replacing jobs, admitting he overestimated the speed at which AI would eliminate entry-level white-collar roles. Speaking on the "Invest Like the Best" podcast, he stated that people do not truly want an AI CEO, as accountability and human connection remain critical. He found that individuals prefer interacting with people who can be held responsible for decisions. Similarly, NVIDIA's Jensen Huang argued that the narrative of AI destroying jobs is misguided. He distinguishes between tasks and jobs, noting that while AI can automate specific tasks, entire jobs—encompassing communication, judgment, coordination, and accountability—are not eliminated. He cited examples like radiologists and software engineers, where demand for these roles has increased as AI handles repetitive tasks, allowing for business expansion and the creation of more positions. Data from a University of Maryland and LinkUp study supports this, showing that U.S. job postings for new graduates have actually risen, countering the fear of vanishing entry-level roles. However, a significant shift is occurring: the traditional entry-level tasks that help newcomers gain experience are being automated, making initial career access more challenging. The key insight is that as AI takes over standardized tasks, the enduring value of human work shifts toward areas of responsibility, trust-building, and final decision-making—aspects that AI cannot replicate. The real "moat" for professionals lies in these irreplaceable human elements.

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Altman Admits: Overestimated AI Snatching Jobs! Huang Renxun: The Unemployment Narrative Is Completely Backwards

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281 Totale visualizzazioniPubblicato il 2024.12.11Aggiornato il 2026.06.02

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