一周代币解锁:PYTH解锁高达流通量37%代币

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

Introduzione

本周多个加密货币项目将有大规模代币解锁,可能对市场流动性造成影响。 首先是**Pyth Network (PYTH)**,一个去中心化预言机项目。本次将解锁21.2亿枚代币,价值约9524万美元,解锁量高达其流通量的37%。该项目提供实时的金融市场数据。 其次是**LayerZero (ZRO)**,一个全链互操作性协议。本次解锁2571万枚代币,价值约3291万美元。该协议专注于跨链消息传递。 另外还有**Kaito (KAI)**,一个AI驱动的Web3信息平台。本次将解锁1760万枚代币,价值约778万美元。该平台旨在聚合加密行业的碎片化信息。 以上三个项目的具体代币释放时间表可参考原文中的图表。大规模代币解锁通常会增加市场供应量,投资者需关注其潜在的价格影响。

Pyth

项目推特:https://twitter.com/PythNetwork

项目官网:https://pyth.network/

本次解锁数量:21.2亿枚

本次解锁金额:约9524万美元

Pyth Network 是一个去中心化的预言机项目,提供实时、精确的金融市场数据,涵盖DEX、衍生品、DeFi借贷、稳定币、合成资产等,旨在增强去中心化金融(DeFi)应用的功能性和可靠性。

具体释放曲线如下:

Layerzero

项目推特:https://x.com/LayerZero_Core

项目官网:https://layerzero.network/

本次解锁数量:2571万枚

本次解锁金额:约3291万美元

LayerZero 是一种全链互操作性协议,专为跨链的轻量级消息传递而设计。LayerZero 提供了可信且有保障的消息传递,并具有可配置的去信任化。

具体释放曲线如下:

Kaito

项目推特:https://x.com/KaitoAI

项目官网:https://www.kaito.ai/

本次解锁数量:1760万枚

本次解锁金额:约778万美元

Kaito是一个AI驱动的Web3信息平台,旨在解决加密行业信息碎片化问题。通过聚合社交媒体、治理论坛等数来源,Kaito利用AI技术提供实时搜索、情绪分析和趋势跟踪。

具体释放曲线如下:

Crypto di tendenza

Domande pertinenti

Q根据文章,Pyth Network 本次解锁的代币数量是多少?

A21.2亿枚。

QLayerZero 协议的主要用途是什么?

ALayerZero 是一种全链互操作性协议,专为跨链的轻量级消息传递而设计,提供了可信且有保障的消息传递。

Q本次解锁中,哪个项目是AI驱动的Web3信息平台?

AKaito。

QPyth Network 提供的市场数据主要涵盖哪些领域?

A涵盖DEX、衍生品、DeFi借贷、稳定币、合成资产等金融市场数据。

QKaito 平台旨在解决什么问题?

A旨在解决加密行业信息碎片化问题,通过AI聚合各类信息来源并提供实时搜索、情绪分析和趋势跟踪。

Letture associate

Former Huawei 'Genius Teen' Who Questioned DeepSeek Interview Lands in 'Crossfire' from Web3 Investor

Former Huawei "Genius Youth" Li Bojie recently drew public attention by criticizing his interview experience with DeepSeek. The controversy escalated when Du Jun, co-founder of Web3 investment firm ABCDE Capital, publicly accused Li of being "the founder with the least sense of contractual spirit" he had ever cooperated with, sparking a dispute over Li's startup project, Metagent. Li detailed a frustrating DeepSeek interview where he was accused of potential plagiarism, leading him to end the session. The spotlight then shifted to his venture, Metagent, a Web3+AI project aiming to tokenize AI agents. ABCDE invested $1.5 million, with an initial $500k disbursed. Du Jun claimed the project's progress was severely lacking, with a poor-quality demo and minimal social media activity. He alleged Li stopped communicating, deleted his Telegram, and failed to provide proper financial reporting. In response, Li argued the remaining $1 million was never received, crippling operations and forcing salary cuts. He stated he left Metagent in October 2024 due to family reasons and Web3 compliance concerns, with board approval. He claimed to have fulfilled disclosure duties and that his subsequent projects avoided conflicting fields. Other investors, including ArkStream Capital, shared negative due diligence experiences, citing unprofessional contracts and evasive answers on tokenomics. Metagent's social media went silent in June 2024, effectively stalling. Li has since moved to a new consumer AI agent platform, Pine AI (formerly Logenic AI), which has raised $25 million in Series A funding. He served as its Chief Scientist but recently left, clarifying he was not the founder and departed due to a shift in research interests.

Foresight News28 min fa

Former Huawei 'Genius Teen' Who Questioned DeepSeek Interview Lands in 'Crossfire' from Web3 Investor

Foresight News28 min fa

SemiAnalysis: Anthropic's Q3 Profit to Exceed $1 Billion

Research firm SemiAnalysis reveals that Anthropic is reshaping the AI commercialization landscape with profitability and growth rates far exceeding competitors. Leveraging a high-margin, API-centric business model, Anthropic has become a leader in the B2B AI market. The report projects that Anthropic will achieve a GAAP EBIT of $1 billion in Q3 2026, with a 6% margin. Its Annual Recurring Revenue (ARR) has surged from $9 billion at the end of 2025 to over $60 billion currently. If it maintains a Net New ARR (NNARR) of approximately $15 billion per month, its ARR could reach $300 billion by the end of 2027, implying a $6 trillion enterprise value and making it the world's most valuable company. Anthropic secretly filed for an IPO on June 1st. SemiAnalysis argues the timing is strategically urgent due to narrowing capital market windows as rivals like Alphabet and Meta secure major funding. The superior financials and business model suggest Anthropic should go public before OpenAI to seize the competitive initiative. The performance inflection stems from the explosive adoption of Claude Code, which now accounts for over 7% of all GitHub commits, driving monthly NNARR from $3 billion in January to $11 billion in March. Anthropic's revenue structure differs significantly from OpenAI's. Approximately 75-85% of Anthropic's ARR comes from usage-based API fees, with consumer subscriptions constituting only about 5%. In contrast, over 65% of OpenAI's Q1 2026 revenue was from subscriptions, with ~40% from consumers. The API model's key advantage is no per-user revenue cap, enabling growth within existing accounts. Anthropic's Net Revenue Retention (NRR) is an extraordinary 500%. This drives superior gross margins, now in the mid-60% range versus -94% in 2024, with API margins exceeding 80%. Core drivers are improved inference efficiency and a largely enterprise-focused model without the cost of serving hundreds of millions of free users. The report introduces "EBTIT" (Earnings Before Training & Interest & Taxes) to measure re-investment capacity, projecting Anthropic's cumulative EBTIT through 2028 will be $250 billion higher than OpenAI's. Over 65% of lab ARR currently comes from programming use cases. Cybersecurity is seen as the next major vertical, with upcoming model releases like Fable expected to further increase token pricing and expand NNARR. Indirect sales via hyperscaler platforms (AWS Bedrock, Azure Foundry) now account for 15-20% of ARR. A core constraint is compute supply. By 2030, combined unconstrained compute demand from Anthropic and OpenAI could exceed 100 GW, far outstripping projected new capacity. IPO proceeds are seen as crucial to lock in future compute resources. Key risks include potential price cuts by OpenAI, competitive pressure from Google DeepMind and Meta in coding models, potential government restrictions on frontier model releases, and margin dilution from growing indirect "Token-as-a-Service" sales. Regulatory actions that narrow the capability gap between open-source and proprietary models are highlighted as a fundamental threat to Anthropic's moat.

marsbit41 min fa

SemiAnalysis: Anthropic's Q3 Profit to Exceed $1 Billion

marsbit41 min fa

Trading

Spot

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Come comprare PYTH

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174 Totale visualizzazioniPubblicato il 2024.12.12Aggiornato il 2026.06.02

Come comprare PYTH

Discussioni

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