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DAR Open Network 價格

DAR Open Network 價格D

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注意:此資訊僅供參考。

DAR Open Network 今日價格

DAR Open Network 的即時價格是今天每 (D / TWD) NT$1.91,目前市值為 NT$1.24B TWD。24 小時交易量為 NT$273.34M TWD。D 至 TWD 的價格為即時更新。DAR Open Network 在過去 24 小時內的變化為 -3.88%。其流通供應量為 647,874,400 。

D 的最高價格是多少?

D 的歷史最高價(ATH)為 NT$161.87,於 2021-11-04 錄得。

D 的最低價格是多少?

D 的歷史最低價(ATL)為 NT$1.67,於 2025-03-11 錄得。
計算 DAR Open Network 收益

DAR Open Network 價格預測

D 在 2026 的價格是多少?

根據 D 的歷史價格表現預測模型,預計 D 的價格將在 2026 達到 NT$2.18

D 在 2031 的價格是多少?

2031,D 的價格預計將上漲 +7.00%。 到 2031 底,預計 D 的價格將達到 NT$5.21,累計投資報酬率為 +165.28%。

DAR Open Network 價格歷史(TWD)

過去一年,DAR Open Network 價格上漲了 -74.07%。在此期間,DAR 兌 TWD 的最高價格為 NT$9.03,DAR 兌 TWD 的最低價格為 NT$1.67。
時間漲跌幅(%)漲跌幅(%)最低價相應時間內 {0} 的最低價。最高價 最高價
24h-3.88%NT$1.89NT$2
7d-0.11%NT$1.85NT$2.15
30d-27.17%NT$1.67NT$3.06
90d-59.42%NT$1.67NT$7.87
1y-74.07%NT$1.67NT$9.03
全部時間-22.50%NT$1.67(2025-03-11, 10 天前 )NT$161.87(2021-11-04, 3 年前 )

DAR Open Network 市場資訊

DAR Open Network 市值走勢圖

市值
NT$1,240,044,845.09
完全稀釋市值
NT$1,531,216,346.15
排名
立即購買 DAR Open Network

DAR Open Network 持幣分布集中度

巨鯨
投資者
散戶

DAR Open Network 地址持有時長分布

長期持幣者
游資
交易者
coinInfo.name(12)即時價格表
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DAR Open Network 評級

社群的平均評分
4.6
100 筆評分
此內容僅供參考。

DAR Open Network (D) 簡介

Cryptocurrency Mines of Dalarnia(繁体中文)
Cryptocurrency Mines of Dalarnia(达拉尼亚矿区)是一种创新的虚拟货币。它是由一家拥有独特技术的公司开发的,旨在提供一种去中心化的数字货币解决方案。该货币在数字经济中具有重要的历史意义和关键特征。

达拉尼亚矿区的历史意义在于它是开拓了数字货币行业的一小步。它代表了人们追求去中心化和匿名交易的渴望。与传统货币不同,这种虚拟货币允许用户在区块链网络中进行匿名交易,同时维护网络的安全性。这种去中心化的特性使得达拉尼亚矿区在加密货币领域脱颖而出。

达拉尼亚矿区的关键特征之一是其去中心化的本质。传统货币系统通常由中央银行或政府控制,而达拉尼亚矿区完全不依赖于任何中央机构。这使得它更具透明性和抗审查性,消除了中间人的干预。用户可以通过去中心化的区块链网络直接进行交易,无需担心资金安全或信息泄露。

此外,达拉尼亚矿区还采用了加密技术,确保交易的安全性和真实性。区块链技术将交易数据记录在一个分布式的数据库中,使其不可更改和可追踪。这也帮助维护了网络的安全性,防止欺诈和双重支付行为。

达拉尼亚矿区还提供了一种可选的挖矿机制,使持有者可以积极参与到货币的产生和验证中。持有者可以将其计算能力贡献给网络,获得加密货币作为回报。这个过程被称为挖矿,它不仅增加了网络的安全性,还为参与者提供了经济激励。

尽管达拉尼亚矿区在加密货币领域相对较新,但它已经吸引了许多人的兴趣和关注。它代表了去中心化货币的一部分,为人们提供了更多个人自由和隐私权。此外,它还为参与者提供了一种获得收益的机会。

总的来说,达拉尼亚矿区是一种具有历史意义和独特特征的虚拟货币。通过去中心化、匿名性和加密技术,它为用户提供了更安全、透明和经济激励的交易选择。随着加密货币行业的不断发展,达拉尼亚矿区有望在未来发挥更重要的作用。

DAR Open Network 社群媒體數據

過去 24 小時,DAR Open Network 社群媒體情緒分數是 3,社群媒體上對 DAR Open Network 價格走勢偏向 看漲。DAR Open Network 社群媒體得分是 0,在所有加密貨幣中排名第 919。

根據 LunarCrush 統計,過去 24 小時,社群媒體共提及加密貨幣 1,058,120 次,其中 DAR Open Network 被提及次數佔比 0.01%,在所有加密貨幣中排名第 340。

過去 24 小時,共有 203 個獨立用戶談論了 DAR Open Network,總共提及 DAR Open Network 61 次,然而,與前一天相比,獨立用戶數 減少 了 6%,總提及次數減少。

Twitter 上,過去 24 小時共有 0 篇推文提及 DAR Open Network,其中 0% 看漲 DAR Open Network,0% 篇推文看跌 DAR Open Network,而 100% 則對 DAR Open Network 保持中立。

在 Reddit 上,最近 24 小時共有 2 篇貼文提到了 DAR Open Network,相比之前 24 小時總提及次數 增加 了 100%。

社群媒體資訊概況

平均情緒(24h)
3
社群媒體分數(24h)
0(#919)
社群媒體貢獻者(24h)
203
-6%
社群媒體提及次數(24h)
61(#340)
-25%
社群媒體佔有率(24h)
0.01%
Twitter
推文(24h)
0
0%
Twitter 情緒(24h)
看漲
0%
中立
100%
看跌
0%
Reddit
Reddit 分數(24h)
4
Reddit 貼文(24h)
2
+100%
Reddit 評論(24h)
0
0%

如何購買 DAR Open Network(D)

建立您的免費 Bitget 帳戶

建立您的免費 Bitget 帳戶

使用您的電子郵件地址/手機號碼在 Bitget 註冊,並建立強大的密碼以確保您的帳戶安全
認證您的帳戶

認證您的帳戶

輸入您的個人資訊並上傳有效的身份照片進行身份認證
將 DAR Open Network 兌換為 D

將 DAR Open Network 兌換為 D

我們將為您示範使用多種支付方式在 Bitget 上購買 DAR Open Network

跟單交易專家,進行 D 跟單交易!

在 Bitget 註冊並成功購買 USDT 或 D 後,您還可以跟單交易專家開始跟單交易。

DAR Open Network 動態

特朗普考慮比特幣儲備,與加密貨幣高管準備在華盛頓會面:報告
特朗普考慮比特幣儲備,與加密貨幣高管準備在華盛頓會面:報告

據彭博社週四報導,特朗普總統可能正在準備一項行政命令,以建立比特幣儲備。加密貨幣高管將於週五下午在華盛頓參加由特朗普主持的峰會。

The Block2025-03-06 23:45
美國證券交易委員會的加密貨幣專案小組將於本月晚些時候舉行首次圓桌會議
美國證券交易委員會的加密貨幣專案小組將於本月晚些時候舉行首次圓桌會議

快速摘要 美國證券交易委員會(SEC)在加密貨幣的監管方式上,與之前拜登政府的做法相比,經歷了重大轉變。代理主席馬克·烏耶達於一月底成立了工作小組,並任命專員海絲特·皮爾斯領導。

The Block2025-03-03 23:45
市場大跌下,如何做好風險控制?
市場大跌下,如何做好風險控制?

如果你讀到第 8 條的反應是“哈哈,我才不會去做這些”,那麼很可能你需要立刻削減 1/3 的風險。

Chaincatcher2025-03-01 14:55
更多 DAR Open Network 動態

用戶還在查詢 DAR Open Network 的價格。

DAR Open Network 的目前價格是多少?

DAR Open Network 的即時價格為 NT$1.91(D/TWD),目前市值為 NT$1,240,044,845.09 TWD。由於加密貨幣市場全天候不間斷交易,DAR Open Network 的價格經常波動。您可以在 Bitget 上查看 DAR Open Network 的市場價格及其歷史數據。

DAR Open Network 的 24 小時交易量是多少?

在最近 24 小時內,DAR Open Network 的交易量為 NT$273.34M。

DAR Open Network 的歷史最高價是多少?

DAR Open Network 的歷史最高價是 NT$161.87。這個歷史最高價是 DAR Open Network 自推出以來的最高價。

我可以在 Bitget 上購買 DAR Open Network 嗎?

可以,DAR Open Network 目前在 Bitget 的中心化交易平台上可用。如需更詳細的說明,請查看我們很有幫助的 如何購買 指南。

我可以透過投資 DAR Open Network 獲得穩定的收入嗎?

當然,Bitget 推出了一個 策略交易平台,其提供智能交易策略,可以自動執行您的交易,幫您賺取收益。

我在哪裡能以最低的費用購買 DAR Open Network?

Bitget提供行業領先的交易費用和市場深度,以確保交易者能够從投資中獲利。 您可通過 Bitget 交易所交易。

您可以在哪裡購買 DAR Open Network(D)?

透過 Bitget App 購買
數分鐘完成帳戶註冊,即可透過信用卡或銀行轉帳購買加密貨幣。
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透過 Bitget 交易所交易
將加密貨幣存入 Bitget 交易所,交易流動性大且費用低

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2. 如果您是 Bitget 的新用戶,請觀看我們的教學,以了解如何建立帳戶。
3. 將滑鼠移到您的個人頭像上,點擊「未認證」,然後點擊「認證」。
4. 選擇您簽發的國家或地區和證件類型,然後根據指示進行操作。
5. 根據您的偏好,選擇「手機認證」或「電腦認證」。
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7. 提交申請後,身分認證就完成了!
加密貨幣投資(包括透過 Bitget 線上購買 DAR Open Network)具有市場風險。Bitget 為您提供購買 DAR Open Network 的簡便方式,並且盡最大努力讓用戶充分了解我們在交易所提供的每種加密貨幣。但是,我們不對您購買 DAR Open Network 可能產生的結果負責。此頁面和其包含的任何資訊均不代表對任何特定加密貨幣的背書認可,任何價格數據均採集自公開互聯網,不被視為來自Bitget的買賣要約。

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理財

D
TWD
1 D = 1.91 TWD
在所有主流交易平台中,Bitget 提供最低的交易手續費。VIP 等級越高,費率越優惠。

Bitget 觀點

BGUSER-F7VK3VPX
BGUSER-F7VK3VPX
3小時前
Artificial intelligence has taken a decisive step forward with the meteoric rise of ChatGPT, which has revolutionized both the general public and businesses. Yet, faced with the limitations of giant models, a new approach is emerging: intelligent agents. Capable of acting and interacting with their digital environment, they redefine the future of AI by moving from simple text generation to executing concrete and autonomous tasks. Just a few years ago, interacting with an artificial intelligence seemed like science fiction to the general public. But when ChatGPT appeared at the end of 2022, a radical evolution took place. Based on the GPT-3.5 model and freely accessible online, ChatGPT experienced a meteoric rise, reaching 100 million monthly users in just two months, a historic record for a consumer application. In comparison, services like TikTok took nearly 9 months to reach such an audience. While democratizing text generation by AI, ChatGPT has enabled non-specialists to experience the power of large language models, also known as LLMs. From schoolchildren to professional engineers, everyone could ask questions, get summaries, create code, and generate content ideas through a natural language computing conversation. The impact in the professional world has been just as significant. Several companies quickly integrated these models into their products and workflows. OpenAI generated nearly 1 billion dollars in revenue in 2023, potentially reaching 3.7 billion in 2024. This ascent was supported by the development of AI APIs and commercial licenses. The formation of major partnerships, such as with Microsoft, allowed ChatGPT to be included in users’ daily routines (search engines, office suites), further amplifying its impact. GPT-3.5 was a true turning point. AI could now compose coherent text on demand. GPT-4, created at the beginning of 2023, affirmed the revolutionary aspect of the software by notably improving its reasoning capabilities and image comprehension. In record time, text-generative AI has transitioned from a laboratory curiosity to an essential consumer tool, both for less experienced users and for companies seeking automation. However, this meteoric rise has been called into question by the evolution of giant models. Indeed, major players in the web, such as Open AI and its competitors (Anthropic, Google, Meta, Grok in the United States, Mistral in France, Deepseek and Qwen in China) have worked to increase the power of their LLMs since 2024. Thus, new records of performance and intelligence have been established at the cost of significant efforts and massive expenses. Nevertheless, gains tend to plateau compared to the initial spectacular jumps. Indeed, according to “scaling laws”, each new advancement now requires an exponential increase in resources (model size, data used, computing power), which progressively limits the real progress margin of artificial intelligences. In fact, doubling the intelligence of a model would not merely double the initial cost but multiply it by ten or a hundred: it would require both more computing power and more training data. Where the transition from GPT-3 to GPT-4 brought significant improvements (with GPT-4 performing approximately 40% better than GPT-3.5 on certain standardized academic exams), OpenAI’s next model (codenamed Orion) is said to offer only minimal improvements over GPT-4, according to some sources. This dynamics of diminishing returns affects the entire sector: Google reportedly found that its Gemini 2.0 model does not meet expected goals, and Anthropic even temporarily paused the development of its main LLM to reassess its strategy. In short, the exhaustion of large high-quality training data corpora, as well as the unsustainable costs in computing power and energy needed to improve models, lead to a sort of technical ceiling, at least temporarily. The numbers confirm this on benchmarks. The multitask understanding scores (MMLU) of the best models converge: since 2023, almost all LLMs achieve similar performances on these tests, indicating we are approaching a plateau. Even much smaller open-source models are beginning to compete with the giants trained by billions of dollars in investments. The race for enormity of models is therefore showing its limits, and the giants of AI are changing strategies: Sam Altman (OpenAI) stated that the path to truly intelligent AI will likely no longer come from simply scaling LLMs, but rather from a creative use of existing models. In clear terms, it involves finding new approaches to gain intelligence without simply multiplying the size of neural networks. Certain techniques, such as Chain-of-Thought (or Tree-of-Thought), allow the model to generate a “reasoning” (often referred to as “thinking” models) before providing its answer, within which it can explore possibilities and realize its mistakes… This is the hallmark of models o1, o3 from OpenAI , R1 from Deepseek , and the „Think“ mode of Grok… This method offers remarkable intelligence gains, particularly in mathematical problems. However, it still comes at a cost: one of the major benchmarks for testing model intelligence is the ARC-AGI (“Abstract and Reasoning Corpus for Artificial General Intelligence”), published by François Chollet in 2019, which tests the intelligence of models on generalization tasks like the one below : This benchmark remained a challenge too difficult for the entirety of general models for a long time, taking 4 years to progress from 0 % completion with GPT-3 to 5 % with GPT-4o. But last December, OpenAI published the results of its range of o3 models, with a specialized model on ARC-AGI achieving 88 % completion : However, each problem incurs a cost of over $3,000 to execute (not counting training expenses), and takes over ten minutes. The limit of giant LLMs is now evident. Instead of accumulating billions of parameters for ever-smaller returns in intelligence, the AI industry now prefers to equip it with “arms and legs” to transition from simple text generation to concrete action. Now, AI no longer merely answers questions or generates content passively, but connects itself to databases, triggers APIs, and executes actions: conducting internet searches, writing code and executing it, booking a flight, making a call… It is clear that this new approach radically transforms our relationship with technology. This paradigm shift allows companies to rethink their workflows and use the power of LLMs to automate tedious and repetitive tasks. This modular approach focuses on interaction intelligence rather than brute parametric force. The real challenge now is to enable AI to collaborate with other systems to achieve tangible results. Several intelligent agents already illustrate the disruptive potential of this approach: Anthropic, creator of Claude, recently published a new standard, the Model Context Protocol (or MCP), which should ultimately allow connection between a compatible LLM and “servers” of tools chosen by the user. This approach has already garnered much attention in the community. Some, like Siddharth Ahuja (@sidahuj) on X (formerly Twitter), use it to connect Claude to Blender, the 3D modeling software, generating scenes just with queries : The arrival of these agents marks a decisive turning point in our interaction with AI. By allowing an artificial intelligence to take action, we witness a transformation of work methods. Companies integrating agents into their systems can automate complex processes, reduce delays, and improve operational accuracy, whether it’s about synthesizing vast volumes of information or driving complete applications. For professionals, the impact is immediate. An analyst can now delegate the research and compilation of information to Deep Research, freeing up time for strategic analysis. A developer, aided by v0, can turn an idea into reality in just a few minutes, while GitHub Copilot speeds up code production and reduces errors. The possibilities are already immense and continue to grow as new agents are created. Beyond the professional realm, these agents will also transform our daily lives, sliding into our personal tools and making services once reserved for experts accessible: it is now much easier to “photoshop” an image, generate code for a complex algorithm, or obtain a detailed report on a topic… Thus, the era of giant LLMs may be coming to an end, while the arrival of AI agents opens a new era of innovation. These agents – Deep Research, Manus, v0 by Vercel, GitHub Copilot, Cursor, Perplexity AI, and many others – seem to demonstrate that the true value of AI lies in its ability to orchestrate multiple tools to accomplish complex tasks, save time, and transform our workflows. But beyond these concrete successes, one question remains: what does the future of AI hold for us? What innovations can we expect? Perhaps an even deeper integration with edge computing, or agents capable of learning in real time, or modular ecosystems allowing everyone to customize their digital assistant? What is certain is that we are still only at the beginning of this revolution, which may be the largest humanity will ever experience. And you, are you eager to discover Orion (GPT5), Claude 4, Llama 4, DeepHeek R2, and other disruptive innovations? Which tool from this future excites you the most?
X+0.96%
MAJOR+23.06%
Crypto News Flash
Crypto News Flash
4小時前
Dubai Kicks Off Real Estate Tokenization on Blockchain
The Dubai government has initiated a pilot phase of a real estate tokenization project to bring property into the digital world using blockchain technology. The project aims to allow ownership of property assets in the form of tokens, which trade more readily. 🚨JUST IN: DUBAI LAUNCHES THE PILOT PHASE OF ITS REAL ESTATE TOKENIZATION PROJECT, AIMING TO TOKENIZE REAL ESTATE ASSETS ON THE BLOCKCHAIN — BSCN Headlines (@BSCNheadlines) March 20, 2025 Many people have always found Dubai’s property investment to be appealing. In terms of liquidity and accessibility, there have been significant obstacles yet. Tokenization is here to offer a way whereby property ownership can be divided into smaller bits represented as digital tokens. Investors can thus acquire a little piece of the property with a more affordable capital instead of purchasing a whole apartment or villa. Conversely, this approach can also lower bureaucracy, boost openness in real estate transactions, and hasten buying and selling times. Blockchain as a supporting technology helps transaction recording to become safer and effective, free from data manipulation danger. The Dubai government, through the Dubai Land Department (DLD) and the Dubai Virtual Assets Regulatory Authority (VARA), is leading this project. Dubai is enhancing its standing as a center for digital finance innovation even more because tokenization transactions are estimated to reach AED60 billion (about $16 billion) by 2033. The move also conforms to the Dubai Economic Agenda D33, which seeks to establish Dubai among the top three global economic centers in the next ten years. Apart from its aspirations to lead in technological innovation, Dubai also aims to draw more international capital to its property market. Dubai is displaying aspirations in the blockchain and Web3 industries even while it is mostly focused on real estate tokenization. Dubai declared on January 16, 2025, the building of the 17-story Crypto Tower, a center for Web3 and blockchain research. Startups and businesses operating in digital technology will find 150,000 square feet of space in the building. The project has first quarter of 2027 as its intended completion date. Furthermore, the crypto ecosystem in Dubai continues to grow. On March 12, 2025, Ripple received approval from the Dubai Financial Services Authority (DFSA) to provide blockchain-based payment services at the Dubai International Finance Centre (DIFC). With this, Ripple became the first crypto payment provider to be licensed by the DFSA. Moreover, as CNF has reported , Abu Dhabi, through MGX, has also demonstrated interest in this sector by funding $ 2 billion in Binance. It confirms that the United Arab Emirates is prepared to be a worldwide digital financial powerhouse, therefore strengthening the link between the biggest crypto exchange in the world and the country. Given these developments, the question that arises is: Is the world ready for a major transition in property asset ownership? The concept of tokenization does offer many benefits, but it also poses new challenges, such as regulation, investor protection, and the price stability of property tokens. But Dubai is most definitely the strongest candidate if there is one place in the world where this concept can be fully realized.
PEOPLE-4.17%
MAJOR+23.06%
chezomitindo
chezomitindo
4小時前
As of March 21, 2025, with the crypto market rebounding and Bitcoin (BTC) assumed to be rising steadily in the short term (based on your earlier question), the decision to buy now or wait depends on a mix of timing, risk tolerance, and market signals. Here’s a breakdown to help you decide: Buy Now: The Case • Momentum is Building: A rebound often signals renewed investor confidence. If BTC is climbing steadily, it might be breaking past key resistance levels (e.g., $90,000-$100,000), suggesting a potential run-up. Historically, catching a rally early can yield big gains—think BTC’s surge from $20,000 to $69,000 in 2021. • FOMO Factor: Steady gains could spark retail interest, amplifying the rebound. If you wait too long, you might miss the window before prices spike further. • External Boosters: If the rebound ties to real-world catalysts—like a country adopting BTC, a Federal Reserve rate cut hint, or a tech upgrade (e.g., XRP Ledger enhancements)—the upside could solidify fast. For instance, a more crypto-friendly U.S. policy under recent political shifts might fuel optimism. Wait: The Case • Volatility Risk: Crypto rebounds can be short-lived. A steady rise might hit overbought territory (e.g., RSI above 70), setting up a correction. BTC’s past shows sharp pullbacks—like the 20%+ drops after hitting $100,000 in late 2024—aren’t uncommon. • Confirmation Needed: A true rebound needs volume to back it. If trading volume is low, this could be a false signal—wait for stronger conviction or a dip to support levels (e.g., $85,000 for BTC) to buy cheaper. • Macro Uncertainty: Geopolitical tensions (e.g., tariffs from a Trump administration) or Fed moves could derail risky assets. If economic data like the next CPI report (due April 2025) surprises negatively, the rebound might stall. Middle Ground • Dollar-Cost Averaging (DCA): Instead of all-in now or waiting, spread buys over time. If BTC keeps rising, you catch some gains; if it dips, you buy lower. This cuts the stress of timing the market perfectly. What to Watch • BTC Price Action: Is it holding above $100,000 with increasing volume? That’s a green light. A drop below $90,000 might signal caution. • Altcoins: Are they lagging or surging? A broad rally (e.g., ETH, XRP) could mean the rebound has legs; if it’s just BTC, it might be a head fake. • News Flow: Check for catalysts—ETF inflows, regulatory wins, or adoption news could justify buying now. Verdict If you’re risk-tolerant and believe this rebound has legs (e.g., tied to adoption or policy shifts), buying now makes sense—BTC could push to $110,000+ in the near term. If you’re cautious or see signs of weakness (low volume, overbought indicators), wait for a pullback to confirm support. Personally, I’d lean toward DCA to play both sides—crypto’s too wild for all-or-nothing bets. What’s your gut telling you about this rebound?
BTC-0.53%
FUEL-2.40%
muphy
muphy
5小時前
Pi Network: Community-Driven or Centralized Hype?
Introduction: The Pi Network has become one of the most talked-about projects in the crypto space, amassing over 47 million engaged users (Pioneers) globally — all without being listed on major exchanges or having a fully open Mainnet yet. Its promise of “mining crypto on your phone without draining battery” has intrigued many, while others remain skeptical, branding it as hype without substance. But the key question is: Is Pi Network truly a community-driven revolution, or is it just a centralized ecosystem building unsustainable hype? --- 1. The Power of Community: How Pi Network Grew Mobile Accessibility: Pi’s brilliance lies in making crypto mining easy and accessible to the masses. No need for expensive rigs or technical know-how. Just a smartphone and daily engagement. Referral & Network Effect: Growth was driven by inviting friends, earning more Pi as your network grows. This tapped into viral marketing, ensuring exponential expansion. Strong Social Proof: Because Pi doesn’t require financial investment upfront, users feel comfortable sharing and participating. Millions joined without feeling financially at risk, creating a strong, loyal base. KYC & Real Identity Focus: Pi introduced a mandatory KYC (Know Your Customer) process to ensure real, unique users. This filters out bots and fake accounts, unlike many airdrop projects. Verdict: Yes, Pi Network is undeniably community-driven in terms of growth, participation, and retention. The massive user base and constant interaction are real strengths. --- 2. Centralization Concerns: Who Controls Pi Network? While the community may be large, concerns about centralization arise in key areas: Node Control: Pi’s blockchain is not yet fully decentralized. Most nodes and network validators are under strict guidelines set by the Pi Core Team. This differs from Bitcoin or Ethereum, where anyone can become a node with minimal barriers. Closed Mainnet (Enclosed Network Phase): Currently, Pi operates within an enclosed Mainnet, meaning Pi transactions, apps, and trading occur within its internal ecosystem, with no official external exchange listings. The Core Team tightly controls this environment. Decision-Making Power: All major development decisions are made by the Pi Core Team without a DAO or governance structure that gives users a vote. This raises red flags for decentralization purists. Token Distribution Transparency: While mining distribution is public, the exact breakdown of how much Pi is reserved for the team, advisors, or investors has been a bit opaque compared to other open projects. Verdict: Pi Network still has strong centralized control, particularly in infrastructure, decision-making, and access to liquidity. Many users depend entirely on the Core Team's roadmap for future success. --- 3. Can Pi Network Transition to Real Decentralization? For Pi to move from “centralized hype” to a truly decentralized ecosystem, several key steps need to happen: Mainnet Full Launch: Pi’s Open Mainnet phase needs to allow free transactions, exchange listings, and interaction with other blockchains. This is crucial for price discovery and real utility. Open Node Participation: Lowering entry barriers for becoming a validator node would distribute power more fairly. Community Governance (DAO): Introducing a Decentralized Autonomous Organization (DAO) where Pioneers can vote on key decisions would empower the community and reduce reliance on the Core Team. Clear Tokenomics Transparency: A fully transparent breakdown of token distribution and future inflation plans is necessary to build long-term trust. --- 4. Hype vs Reality: What Keeps Users Hopeful? Despite these centralization issues, the hype persists, and for good reason: The "Sleeping Giant" Narrative: Millions of KYC’d users, no trading yet, and potential partnerships — people believe Pi’s Mainnet launch will unlock huge value. Real-World Apps & Utility Building: Pi is encouraging developers to build apps, games, and marketplaces within the Pi ecosystem. This focus on real use-cases differentiates it from meme tokens driven purely by speculation. --- Conclusion: Is Pi Network community-driven or centralized hype? Answer: It’s BOTH right now. It is community-driven in growth and user engagement, but still centralized in governance, infrastructure, and liquidity access. The big question for 2025 is whether the Core Team will decentralize control, deliver on promised utility, and allow Pi to become a true player in the broader crypto market — or if it will remain a closed system relying on community loyalty without external validation. Only time (and the Open Mainnet) will reveal the truth.
CORE-3.10%
MOVE-2.26%
TinTucBitcoin
TinTucBitcoin
6小時前
$JOE đang tăng trưởng ổn định ở mức $0.12, nhắm đến $0.49. Đà tăng liên tục của Bitcoin và khối lượng giao dịch cao đang đẩy tài sản này lên cao. Các nhà giao dịch nên theo dõi các tín hiệu vào để nắm bắt lợi nhuận khi $JOE tiến về mục tiêu của nó. Tài sản này có tiềm năng tăng trưởng mạnh trong ngắn hạn.
BITCOIN-0.75%
D-2.36%

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