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

CitreaCTR

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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

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

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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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A Major Change at the Fed? Report: Wash Considers Reducing Frequency of Policy Meetings, Breaking 40-Year Precedent

The Federal Reserve Chairman is considering reducing the number of regular Federal Open Market Committee (FOMC) meetings held each year, a potential major shift from the current practice of eight meetings annually that has been in place since 1981. According to a report, the proposal was discussed internally, with possible details finalized ahead of the September meeting. This change would mean fewer formal opportunities to vote on interest rates and could diminish the Fed's ability to respond to economic data while reducing market access to policy signals, marking a reversal of the central bank's long-term trend towards greater transparency. While the 1935 Banking Act sets a legal minimum of four meetings per year, historical meeting frequency has varied. The move aligns with the Chairman's broader agenda of institutional reform since taking office, which includes revising communication practices and data usage. An internal memo from 1988 had previously concluded that the eight-meeting schedule remained appropriate. If implemented, this reduction in meetings would significantly reshape the Fed's operational rhythm and its interaction with financial markets.

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A Major Change at the Fed? Report: Wash Considers Reducing Frequency of Policy Meetings, Breaking 40-Year Precedent

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Weekly Editor's Picks (0725-0731)

Weekly Editor's Picks (0725-0731) provides a curated selection of deep analysis, filtering out market noise. Key themes from this week include: **Macro & Policy:** The Federal Reserve's upcoming meeting is marked by high uncertainty, balancing cooling inflation data against persistent price pressures. Meanwhile, the U.S. crypto regulatory Clarity Act faces critical political hurdles, with its 2026 passage probability seen as low. **Investing & Crypto:** Analysis suggests long-term crypto success depends on conviction through volatile cycles, focusing on assets like Bitcoin and core smart contract platforms. A trend noted is the increasing similarity between global equity markets (especially tech) and crypto, driven by narrative and leverage. Several major crypto protocols show strong revenue growth, but this isn't always translating to token price appreciation due to sell pressure and structural factors. **AI & Semiconductors:** Nvidia's rising credit default swap rates signal market concern over AI infrastructure financing risks. The storage sector experienced volatility as markets began pricing in potential 2027 oversupply. Despite a record profitable quarter, SK Hynix's results were deemed "below expectations," reflecting heightened investor demands for future growth visibility. **Markets & DeFi:** TradeXYZ demonstrated remarkable accuracy in pre-market pricing for a major A股 listing. The token ONDO saw gains, linked to its growing role in the on-chain tokenized stock ecosystem. **Ethereum:** Post-Pectra upgrade, a major structural shift is underway as Lido begins migrating millions of ETH to new validator architectures designed for capital efficiency. **Also Highlighted:** Butian's bullish stock market move; OpenAI's Altman promising major advances; Samsung and SK Hynix securing large AI chip deals; Apple reaching a $5T market cap; and ongoing discussions around exchange security following Poolin's bankruptcy case.

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Low Investment Isn't Apple's Immunity Pass

While Meta and Google face investor scrutiny over ballooning AI capital expenditures, Apple's minimal AI investment has paradoxically become a strength. Its market cap recently reclaimed the global top spot, surpassing $5 trillion. The irony is deep: Apple's own AI efforts have lagged, with "Apple Intelligence" delayed and core talent lost, forcing reliance on partners like Google Gemini and Alibaba's Qianwen. Its Q3 FY2026 (Q2 CY) earnings initially seemed stellar. Revenue hit $109.4B (up 16% YoY), with iPhone and Mac sales, growing 22% and 29% respectively, driving most of the growth. However, the stock fell over 8% post-earnings. The primary concern was a weaker Q4 revenue growth forecast of 9-11%, below expectations, due to looming supply chain constraints. Apple is feeling the indirect cost of the AI boom. Soaring memory and chip prices, fueled by massive data center investments from Microsoft, Amazon, and others, are forcing Apple to raise Mac and iPad prices significantly. The upcoming iPhone launch is also expected to see substantial price hikes. Despite avoiding heavy AI infrastructure spending—its capital expenditures are actually down 28%—Apple cannot escape the industry-wide supply and cost pressures. While Apple's operating cash flow remains robust, its substantial R&D spending (up 32% YoY) has yet to yield major AI breakthroughs. As Tim Cook prepares to step down as CEO, Apple faces a challenging transition: balancing its premium hardware success against the strategic and cost pressures of the AI era it has so far cautiously navigated.

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Low Investment Isn't Apple's Immunity Pass

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281 Totale visualizzazioniPubblicato il 2024.12.11Aggiornato il 2026.06.02

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