市值: $3.3619T 2.760%
體積(24小時): $123.1115B 31.710%
  • 市值: $3.3619T 2.760%
  • 體積(24小時): $123.1115B 31.710%
  • 恐懼與貪婪指數:
  • 市值: $3.3619T 2.760%
加密
主題
加密植物
資訊
加密術
影片
頭號新聞
加密
主題
加密植物
資訊
加密術
影片
bitcoin
bitcoin

$104624.958266 USD

1.23%

ethereum
ethereum

$2400.526310 USD

-3.31%

tether
tether

$1.000143 USD

-0.01%

xrp
xrp

$2.375789 USD

0.61%

bnb
bnb

$641.909362 USD

-0.09%

solana
solana

$166.682831 USD

-0.28%

usd-coin
usd-coin

$0.999864 USD

0.00%

dogecoin
dogecoin

$0.222645 USD

2.78%

cardano
cardano

$0.737120 USD

-0.79%

tron
tron

$0.263106 USD

-3.66%

sui
sui

$3.791619 USD

0.32%

chainlink
chainlink

$15.304523 USD

-0.64%

avalanche
avalanche

$22.181122 USD

-0.39%

stellar
stellar

$0.284427 USD

-0.95%

hyperliquid
hyperliquid

$26.205797 USD

-0.73%

加密貨幣新聞文章

為什麼Bittensor的$ TAO可能是AI革命的黑馬

2025/04/19 02:00

CryptoreViewing剛剛在X上向他的85K關注者發布了$ Tao在未來幾年的潛力上的病毒線程。 Bittensor價格今天上漲了6%,現在以259美元的價格交易。

為什麼Bittensor的$ TAO可能是AI革命的黑馬

CryptoReview’s just released a viral thread on X to his 85k followers on $TAO and why it could be the dark horse of the next few years.

Cryptoreview剛剛在X上向他的85K關注者發布了X上的病毒線程,以及為什麼它可能是未來幾年的黑馬。

At its core, Bittensor represents a fundamental shift in how AI systems are built and operated. Unlike the closed ecosystems controlled by tech giants like OpenAI or Google, Bittensor envisions a global network where thousands of AI models work together in an open-source, decentralized environment.

Bittensor的核心代表了AI系統的構建和操作方式的基本轉變。與由OpenAI或Google等科技巨頭控制的封閉生態系統不同,Bittensor設想了一個全球網絡,其中成千上萬的AI模型在開源,分散的環境中共同工作。

Contributors who provide valuable AI capabilities to the network earn $TAO tokens as rewards, forming a peer-to-peer collaborative system.

為網絡提供有價值的AI功能的貢獻者會獲得$ TAO代幣作為獎勵,形成了點對點協作系統。

The network’s architecture allows AI models to interact and combine, forming a neural network on a massively interconnected scale. This design enables innovations to emerge organically from many contributors.

該網絡的體系結構允許AI模型進行交互和組合,從而在大規模互連的刻度上形成神經網絡。該設計使創新能夠從許多貢獻者中有機地出現。

Subnets: The Building Blocks of the Ecosystem

子網:生態系統的基礎

Some subnets concentrate on text generation (similar to what ChatGPT does), while others handle image-related tasks, code writing, or model training and fine-tuning.

一些子網集中於文本生成(類似於ChatGpt的作品),而另一些子網處理與圖像相關的任務,代碼寫作或模型培訓和微調。

With over 93 subnets already running and more in development, this modular approach gives Bittensor remarkable flexibility and scalability.

由於已經運行了93多個子網,並且正在開發中,因此這種模塊化方法具有顯著的靈活性和可擴展性。

This modular design means the network can continuously evolve as new AI needs emerge.

這種模塊化設計意味著隨著新AI的出現,網絡可以不斷發展。

Instead of requiring centralized planning and development, Bittensor can grow organically in response to user demands and technological advances.

Bittensor無需進行集中計劃和發展,而是可以根據用戶需求和技術進步有機地增長。

The AI industry is set to explode to a mind-blowing $2 Trillion by 2030. $TAO / @opentensor is one of the top projects to watch. Here's why the potential is INSANE: 🧵pic.twitter.com/0C8q9Oeld6

到2030年,AI行業將爆炸到令人驚嘆的2萬億美元。 $ TAO / @OpentEnsor是要觀看的主要項目之一。這就是為什麼潛力瘋狂的原因:🧵pic.twitter.com/0c8q9oeld6

Bitcoin-Inspired Tokenomics

比特幣啟發的令牌學

$TAO’s economic model borrows directly from Bitcoin’s playbook with a maximum supply capped at 21 million tokens. This deflationary structure positions $TAO as both a potential store of value and the fuel that powers the network’s intelligence.

$ TAO的經濟模型直接從比特幣的劇本中藉用,最高供應量為2100萬個令牌。這種通縮結構將$ tao定位為潛在的價值存儲,也是為網絡智能提供動力的燃料。

Where Bitcoin rewards miners for securing the financial network through proof-of-work, Bittensor implements what could be called “proof-of-intelligence” – rewarding nodes that provide genuinely useful AI contributions to the ecosystem.

如果比特幣獎勵礦工通過工作證明來確保金融網絡,則Bittensor實現了所謂的“智能證明” - 獎勵節點,這些節點為生態系統提供了真正有用的AI貢獻。

This fixed-supply model avoids the dilution problems that plague many cryptocurrencies and creates strong long-term incentives for contributors to the network.

這種固定供應模型避免了困擾許多加密貨幣的稀釋問題,並為網絡的貢獻者創造了強烈的長期激勵措施。

Meritocratic Reward System

精英獎勵系統

The network’s incentive structure is designed to reward performance. AI models that deliver the most useful, accurate results earn more $TAO, creating a competitive environment that drives continuous improvement.

網絡的激勵結構旨在獎勵性能。提供最有用,準確結果的AI模型獲得了更多的$ tao,創造了一個競爭環境,從而驅動持續改進。

This meritocratic approach ensures that contributors focus on creating genuinely valuable applications rather than simply mining tokens. The better your AI performs in solving real problems, the more rewards you receive.

這種精緻的方法可確保貢獻者專注於創建真正有價值的應用程序,而不是簡單地採礦代幣。您的AI在解決真實問題方面執行的效果越好,您將獲得的獎勵越多。

This system naturally promotes ongoing model improvements, healthy competition between nodes, and the development of practical AI applications with real-world utility.

該系統自然會促進正在進行的模型改進,節點之間的健康競爭以及使用現實世界實用程序的實用AI應用的開發。

A Team With Serious Credentials

具有認真證書的團隊

Adding credibility to Bittensor’s technical vision is its team of contributors, which reportedly includes talent from some of the most respected AI organizations including Google, DeepMind, OpenAI, and Meta.

其貢獻者團隊為Bittensor的技術願景增加了信譽,據報導,該團隊包括一些最受尊敬的AI組織的人才,包括Google,DeepMind,OpenAI和Meta。

This suggests the project has deep technical foundations and isn’t just riding the crypto-AI hype wave. Having experienced AI researchers involved increases confidence that the architecture is built with genuine innovation and long-term sustainability in mind.

這表明該項目具有深厚的技術基礎,而不僅僅是乘坐加密透明的炒作浪潮。經歷了AI研究人員的經歷,人們對建築的建立充滿信心,以真正的創新和長期的可持續性。

Perhaps the most compelling aspect of Bittensor is its potential to disrupt the current AI landscape dominated by large tech corporations. While companies like OpenAI and Google maintain tight control over their AI models, Bittensor offers an alternative path: open, peer-to-peer, self-evolving systems where participants share in the value they create.

Bittensor的最引人注目的方面也許是破壞由大型技術公司主導的當前AI景觀的潛力。儘管OpenAI和Google等公司保持對AI模型的嚴格控制,但Bittensor提供了另一種途徑:開放,點對點,自我發展的系統,參與者分享他們創造的價值。

This philosophy aligns with core Web3 values and appeals to developers and users frustrated by Big Tech’s walled gardens. It represents a genuine alternative to the status quo of AI development and ownership.

這種哲學與核心Web3價值觀相吻合,並吸引開發人員和用戶對Big Tech的圍牆花園感到沮喪。它代表了AI開發和所有權的現狀的真正替代方法。

Market Perspective

市場觀點

At its current market cap of around $2.2 billion, Bittensor remains relatively small compared to both major cryptocurrencies and traditional AI companies. This early position could represent an opportunity if the project delivers on its ambitious vision.

與主要的加密貨幣和傳統的AI公司相比,Bittensor在目前的市值約為22億美元。如果該項目提供雄心勃勃的願景,那麼早期的立場可能代表了機會。

If Bittensor succeeds in becoming the foundation for open-source, decentralized AI, $TAO could eventually serve as the primary token for a new generation of community-owned intelligence systems.

如果Bittensor成功地成為開源的基礎,分散的AI,$ TAO最終可以作為新一代社區擁有的情報系統的主要代幣。

Bittensor isn’t just positioning itself as another blockchain project but as a fundamental alternative to how AI is developed, owned, and monetized. By combining blockchain incentives with AI capabilities across its numerous specialized subnets, it creates a unique technological proposition in an increasingly AI-focused world.

Bittensor不僅將自己定位為另一個區塊鏈項目,而且是AI如何發展,擁有和貨幣化的基本替代方案。通過將區塊鏈激勵措施與其眾多專業子網中的AI功能相結合,它在越來越注重AI的世界中創建了獨特的技術主張。

免責聲明:info@kdj.com

所提供的資訊並非交易建議。 kDJ.com對任何基於本文提供的資訊進行的投資不承擔任何責任。加密貨幣波動性較大,建議您充分研究後謹慎投資!

如果您認為本網站使用的內容侵犯了您的版權,請立即聯絡我們(info@kdj.com),我們將及時刪除。

2025年05月19日 其他文章發表於