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AI技術的快速發展導致了DEAI領域的興起。作為Pundi X開發的分散的AI數據層,Pundi AI致力於通過數據令牌和經濟激勵模型來打破高質量AI數據的集中式平台的壟斷。
Pundi AI, a decentralized AI data layer developed by Pundi X, is set to undergo a brand upgrade and token renaming. As part of this strategic move, the current $FX token will be renamed $PUNDIAI at a ratio of 100:1 on February 25. This article will delve into the token swap process, its rationale, the reasons behind the upgrade, and the innovative changes it brings.
由Pundi X開發的分散的AI數據層Pundi AI將進行品牌升級並重命名。作為這一戰略舉動的一部分,當前的$ FX令牌將在2月25日以100:1的比例更名為$ Pundiai。本文將深入探討令牌交換過程,其理由,升級背後的原因和創新性的原因它帶來的變化。
Reconstructing the AI data value chain
重建AI數據值鏈
Pundi AI's token swap is not merely a token renaming but an integral part of its AI data ecosystem's strategic upgrade. At the heart of the AI industry lie computing power, algorithms, and data, with the scarcity of data and the monopoly of centralized platforms posing the primary obstacles. Pundi AI's decentralized approach aims to attract more data contributors and enhance the quality of data for AI model training.
Pundi AI的代幣交換不僅是代幣重命名,而且是其AI數據生態系統戰略升級的組成部分。 AI行業的核心是計算能力,算法和數據的核心,其數據稀缺以及構成主要障礙的集中式平台的壟斷。 Pundi AI的分散方法旨在吸引更多的數據貢獻者,並提高AI模型培訓的數據質量。
The current AI industry faces three major pain points: data monopoly, privacy leakage, and uneven quality:
當前的AI行業面臨三個主要的痛苦點:數據壟斷,隱私洩漏和不平坦的質量:
Pundi AI has introduced the "Tag-and-Earn" model, which utilizes browser plug-ins to transform data annotation into an interactive activity, engaging more contributors and providing diverse, high-quality data for AI models. Moreover, Pundi AI tokenizes and trades AI data in the form of NFTs, clarifying data ownership and rendering transactions transparent, thus facilitating data flow and value discovery.
Pundi AI引入了“標籤和歐文”模型,該模型利用瀏覽器插件將數據註釋轉換為交互式活動,吸引更多的貢獻者並為AI模型提供多樣化的高質量數據。此外,Pundi AI以NFT的形式將AI數據引用並交易AI數據,澄清數據所有權和渲染交易透明,從而促進了數據流和價值發現。
Full stack product matrix
完整堆棧產品矩陣
Through the token swap and brand upgrade, Pundi AI constructs a more complete decentralized AI data product, including:
通過令牌交換和品牌升級,Pundi AI構建了更完整的分散AI數據產品,包括:
Dual-token model enhances utility and governance participation
雙重模型增強了效用和治理的參與
Pundi AI is building an innovative dual-business ecosystem. In the Web2 domain, the platform assists AI companies in acquiring high-quality data, generating revenue through a 10% data publishing fee and a 10% transaction commission; in the Web3 domain, developers can purchase AI data, train agents, and issue tokens for market making on the platform. This segment of the business generates revenue through a 1% agent transaction fee, LP fees, a 10% project incentive fee, and whitelist application fees. All revenue from these two business lines will be returned to the ecosystem participants.
Pundi AI正在建立一個創新的雙企業生態系統。在Web2域中,該平台協助AI公司獲取高質量數據,通過10%的數據發布費和10%的交易委員會產生收入;在Web3域中,開發人員可以在平台上購買AI數據,訓練代理並發出代幣。該業務的這一部分通過1%的代理交易費用,LP費用,10%的項目激勵費和白名單申請費來產生收入。這兩個業務線的所有收入都將返回到生態系統參與者。
To better support this groundbreaking ecosystem, Pundi AI will conduct a token swap, reducing the existing 820 million $FX tokens to 8.2 million $PUNDIAI at a ratio of 100:1,大幅 increasing scarcity. Meanwhile, FX has been fully unlocked, which is purely community-driven, with no institutional unlocking pressure, and 65% of the tokens are still staked on the validator nodes, providing potential support for the token price.
為了更好地支持這個開創性的生態系統,Pundi AI將進行令牌交換,將現有的8.2億美元的FX代幣降低至820萬美元的Pundiai $ Pundiai,以100:1的比例,稀有性增加了。同時,FX已被完全解鎖,純粹是社區驅動的,沒有機構解鎖壓力,而65%的令牌仍然放在驗證器節點上,為代幣價格提供了潛在的支持。
Since $FX has been listed on major exchanges such as Upbit and Coinbase, which support centralized exchanges for the swap, the token swap will be automatically completed by the exchange, and users do not need to perform it manually. The number of tokens will be automatically updated at a ratio of 100:1.
由於$ fx已在UPBIT和COINBASE等主要交易所列出,這些交易所支持交換的集中交易所,因此代幣交換將由Exchange自動完成,並且用戶無需手動執行。令牌數將自動以100:1的比率更新。
For self-custodial holders on the chain, a manual swap is required.
對於鏈條上的自居住持有者,需要手動交換。
After the token swap, $PUNDIAI and $vePUNDIAI will form a dual-token model:
在代幣交換之後,$ pundiai和$ vepundiai將形成雙重模型:
This innovative dual business line structure combined with a dual token model draws on Curve's ve mechanism, Pump.fun's AI agent release mechanism, and Aerodrome's ve3,3 voting model, and effectively incentivizes long-term holding through a lock-in mechanism. This design not only balances the two major business segments of AI data services and Web3 developer services but also ensures the sustainable development of the ecosystem through scientific token economics design, creating long-term value for token holders.
這種創新的雙重業務線結構與雙令牌模型相結合,借鑒了曲線的VE機制,泵。該設計不僅可以平衡AI數據服務和Web3開發人員服務的兩個主要業務領域,而且還可以通過科學令牌經濟學設計確保生態系統的可持續發展,從而為代幣持有人創造了長期價值。
Flywheel effect starting?
飛輪效果開始?
Pundi AI's token swap strategy essentially marks its strategic upgrade and structural reshaping in the AI data ecology domain. This transformation is redefining the operating paradigm of the AI data market by building decentralized data infrastructure and an innovative token economic model.
Pundi AI的代幣交換策略本質上標誌著其在AI數據生態域中的戰略性升級和結構性重塑。這種轉變是通過建立分散的數據基礎設施和創新的代幣經濟模型來重新定義AI數據市場的運行範例。
Judging from the current market data, Pundi AI is in a critical period of value revaluation. In terms of market size, after completing the 100:1 token swap, the circulating supply is 8.06 million. As an AI token launched on both Upbit and Coinbase, its current circulating market value is at a relatively low level among similar projects. Referring to the valuation level of similar projects in the market, RNDR (fully diluted valuation of approximately US$3 billion), significant scale differences can be observed.
從當前的市場數據來看,Pundi AI處於重新價值的關鍵時期。就市場規模而言,完成100:1令牌交換後,循環供應量為806萬。隨著AI代幣在UPBIT和COINBASE上啟動,其目前的循環市場價值在類似項目中的水平相對較低。在提到市場上類似項目的估值水平時,RNDR(完全稀釋的估值約為30億美元),可以觀察到巨大的規模差異。
From the historical data, token shrinkage events like Aave (LEND to AAVE) are often accompanied by significant valuation increases. At the industry trend level, as the Grayscale research report positions the "AI data infrastructure layer" as the core track of the crypto economy, the integration of AI+Crypto technology has become an industry consensus.
從歷史數據來看,象徵性的收縮事件(例如AAVE(借給AAVE))通常會伴隨著大幅度的估值增加。在行業趨勢層面上,隨著灰度研究報告將“ AI數據基礎設施層”定位為加密經濟的核心軌道,AI+加密技術的整合已成為行業共識。
Pundi AI is building a self-driven ecological closed loop: attracting high-quality data providers through a carefully designed token incentive mechanism, promoting the continuous accumulation of high-quality data assets, and then attracting AI developers
Pundi AI正在建立一個自動驅動的生態閉環:通過精心設計的令牌激勵機制吸引高質量的數據提供商,促進高質量數據資產的持續積累,然後吸引AI開發人員
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