Weekly Token Unlocks: PYTH Unlocks Tokens Up to 37% of Circulating Supply

marsbitPubblicato 2026-05-17Pubblicato ultima volta 2026-05-17

Introduzione

This week's major token unlocks feature three notable projects, each releasing a significant number of tokens into circulation. **Pyth Network** is set for the largest unlock, releasing 2.12 billion PYTH tokens valued at approximately $95.24 million. This amount represents a substantial portion of its circulating supply. Pyth is a decentralized oracle network providing real-time financial market data for DeFi applications. **LayerZero** will unlock 25.71 million ZRO tokens, worth around $32.91 million. LayerZero is a full-chain interoperability protocol designed for secure and configurable cross-chain messaging. **Kaito** will release 17.6 million KAI tokens, with an estimated value of $7.78 million. Kaito is an AI-driven platform that aggregates and analyzes fragmented Web3 information from various sources like social media and governance forums. Each project section includes links to their official Twitter and website, along with a chart depicting their specific token release schedule.

Pyth

Project Twitter: https://twitter.com/PythNetwork

Project Website: https://pyth.network/

Tokens Unlocked This Time: 2.12 billion

Value Unlocked This Time: Approximately $95.24 million

Pyth Network is a decentralized oracle project, providing real-time and accurate financial market data covering DEXs, derivatives, DeFi lending, stablecoins, synthetic assets, etc. It aims to enhance the functionality and reliability of decentralized finance (DeFi) applications.

Specific release schedule is as follows:

Layerzero

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

Project Website: https://layerzero.network/

Tokens Unlocked This Time: 25.71 million

Value Unlocked This Time: Approximately $32.91 million

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

Specific release schedule is as follows:

Kaito

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

Project Website: https://www.kaito.ai/

Tokens Unlocked This Time: 17.60 million

Value Unlocked This Time: Approximately $7.78 million

Kaito is an AI-driven Web3 information platform aimed at solving the issue of fragmented information in the crypto industry. By aggregating data from social media, governance forums, and other sources, Kaito uses AI technology to provide real-time search, sentiment analysis, and trend tracking.

Specific release schedule is as follows:

Domande pertinenti

QWhat percentage of the circulating supply does PYTH unlock represent according to the article?

A37% of the circulating supply.

QWhat is the primary function of the Pyth Network described in the article?

AIt is a decentralized oracle project that provides real-time, precise financial market data to enhance the functionality and reliability of DeFi applications.

QHow many tokens is LayerZero scheduled to unlock in this event?

A25.71 million tokens.

QWhat is the core purpose of the Kaito project as mentioned in the text?

AKaito is an AI-driven Web3 information platform that aims to solve information fragmentation in the crypto industry by aggregating data sources and providing real-time search, sentiment analysis, and trend tracking.

QWhat is the approximate USD value of the Pyth token unlock mentioned in the article?

AApproximately $95.24 million.

Letture associate

Weekly Token Unlock: HOME Unlocks Over 20% of Circulating Supply

Weekly Token Unlock: HOME to Release Over 20% of Circulating Supply This week, the project DeFi.app (HOME) is scheduled to unlock 790 million tokens, valued at approximately $41.26 million. DeFi.app aims to simplify DeFi trading by enabling users to purchase tokens on any blockchain, execute instant cross-chain swaps, access decentralized derivatives markets, and find yield opportunities—all without paying gas fees or using bridges, while maintaining full self-custody of assets. The accompanying chart details the specific release schedule for these tokens.

marsbit28 min fa

Weekly Token Unlock: HOME Unlocks Over 20% of Circulating Supply

marsbit28 min fa

US Stocks Suffer Worst Plunge Since 2025: Three Triggers Ignite Tech Stock Valuation Reset

The US stock market experienced its most severe sell-off since the 2025 tariff crisis on June 5th, 2025. The Nasdaq Composite plummeted 4.18%, the S&P 500 fell 2.64%, and the Dow Jones dropped 695 points. The panic stemmed from three converging factors. First, Broadcom's earnings report ignited fears of a slowdown in AI growth. While its AI chip revenue surged 143% YoY to $10.8B, its Q3 AI revenue guidance of $16B fell short of the $17.2B consensus. This triggered a massive sector-wide sell-off, with the Philadelphia Semiconductor Index crashing 10.26% and semiconductor stocks losing roughly $1.3 trillion in market value in a single day. Second, a shockingly strong May jobs report crushed hopes for Federal Reserve rate cuts. Non-farm payrolls added 172,000 jobs, doubling expectations. This robust data, combined with persistently high oil prices above $92/barrel due to the ongoing Iran war and blockade of the Strait of Hormuz, drastically increased market expectations for a potential Fed rate hike instead of a cut. Higher interest rates compress the valuations of growth-heavy tech stocks. Third, the prolonged Iran conflict continues to fuel inflationary pressures, complicating the Fed's policy decisions and undermining the "inflation is tamed" narrative. Together, these events challenged the twin pillars of the market rally: the "limitless AI growth" story and expectations for imminent monetary easing. The sell-off spread globally, impacting Asian and European markets and cryptocurrencies. The article posits this is likely a severe "valuation repricing" rather than the end of the AI story. The underlying demand for AI remains strong, but investor expectations for growth speed and the prices they are willing to pay are being recalibrated. Key upcoming factors include the June FOMC meeting, future AI company earnings, and developments in the Iran conflict.

marsbit2 h fa

US Stocks Suffer Worst Plunge Since 2025: Three Triggers Ignite Tech Stock Valuation Reset

marsbit2 h fa

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals

From Madison Square Garden to Kalshi: Prediction Markets Break into the NBA Finals Prediction markets are playing a significant role in the 2026 NBA Finals, particularly around the New York Knicks' unexpected 2-0 series lead. Platforms like Kalshi and Polymarket have seen massive trading volumes, exceeding hundreds of millions of dollars on championship and related markets. Their influence extends beyond online trading. Kalshi's official partnership with Madison Square Garden has given it prominent physical branding at the arena. Furthermore, local businesses like The Jeffrey bar are using prediction market contracts to hedge the risk of game-result-based promotions, turning potential losses into manageable costs—a concept similar to the famous "Mattress Mack" strategy from traditional sports betting. These markets differentiate themselves by offering a wider, more entertainment-focused range of "event contracts" beyond typical game outcomes, such as predicting celebrity attendance. They also have broader accessibility across the U.S. compared to age- and location-restricted traditional sportsbooks. However, their rapid integration into sports raises regulatory and ethical questions. The NBA is cautiously engaging, discussing integrity frameworks with regulators like the CFTC. While the league permits minor investments like Giannis Antetokounmpo's stake in Kalshi, it advocates for strict rules to prevent insider trading. Many fans express concern on platforms like Reddit, fearing that the close ties between prediction markets, the league, and players could compromise the game's integrity. The NBA Finals has thus become a high-stakes testing ground, showcasing prediction markets' commercial potential while challenging traditional boundaries between financial trading, entertainment, and gambling.

marsbit4 h fa

Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

The term "recursive self-improvement" (RSI), where AI improves itself autonomously, is gaining momentum in the AI industry. Startups like Recursive Superintelligence and projects such as Andrej Karpathy's Auto-Research aim to create systems where AI designs, implements, and validates its own research, moving toward superintelligence. While Google CEO Sundar Pichai cautions that such exponential acceleration is not yet a reality, progress is evident. For instance, Anthropic reported its Claude Code writes nearly 100% of the team's code, though it still lacks true self-direction. Analysts frame RSI development in stages: "adequacy" (systems functioning without humans), "parity" (matching human research quality), and "supremacy" (exceeding human-AI collaboration). Reaching parity could trigger rapid, unpredictable advancement due to AI's continuous operation. In China, companies like DeepSeek and Baidu incorporate self-optimization techniques without explicitly branding them as RSI, focusing on algorithmic efficiency and reinforcement learning. However, challenges remain, including "model collapse" from training on AI-generated data and the immense computational and open-collaboration requirements. Ultimately, RSI represents a trend of increasing automation in AI development, potentially reducing human oversight in the creation process itself.

marsbit4 h fa

Recursive Self-Improvement AI Gains Traction, Google Pours Cold Water, While DeepSeek and Others Approach the Fringes

marsbit4 h fa

Anthropic Warns Globally, OpenAI Has Crossed the 'Reliability Threshold': AI Self-Acceleration Activated

Anthropic issues a global warning, urging a pause in AI research due to fears of recursive self-improvement where AI accelerates its own development, nearing a "self-building" tipping point. Simultaneously, OpenAI's Yann Dubois provides a key insight: AI's perceived "jump" in usefulness stems from crossing a "reliability threshold." Before this point, AI is an unreliable toy; after (around Dec 2023 for OpenAI), it becomes a dependable tool, triggering self-acceleration. This is evident as AI now assists in its own R&D, boosting researcher productivity. Dubois argues AI development is more "craft" than pure science, relying heavily on intuition. He highlights "the last-mile AI dividend": if current models were frozen, focused development on vertical application harnesses (orchestration systems connecting AI to real-world data and permissions) could deliver AGI-like performance in many domains. The main bottleneck isn't model intelligence, but integration—granting access, connecting data, and embedding into workflows. However, major challenges remain, like enabling continual learning so AI improves with experience rather than plateauing. For startups, the opportunity lies in solving these intricate, real-world integration problems—the hard work of bringing powerful models down to ground level.

marsbit4 h fa

Anthropic Warns Globally, OpenAI Has Crossed the 'Reliability Threshold': AI Self-Acceleration Activated

marsbit4 h fa

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158 Totale visualizzazioniPubblicato il 2024.12.12Aggiornato il 2026.06.02

Discussioni

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