欢迎来到 DuckChainBot 的世界

深潮Publicado a 2024-09-12Actualizado a 2024-09-12

DuckChainBot 是您通往 Duck Planet 的门户，在这里每一位庸医都很重要！

嘿，小鸭们！欢迎来到 DuckChain，这是第一个 TON L2 项目，我们在这里用我们的 DuckChainBot 来解决问题！准备好开始最古怪的冒险了吗？让我们开始吧，看看你的鸭子到底有什么用！ 🐥

DuckChainBot是什么？

DuckChainBot 是您通往 Duck Planet 的门户，在这里每一位庸医都很重要！无论您来这里是为了抢一些嘎嘎的空投、炫耀您的鸭子的宝藏，还是只是为了享受乐趣，DuckChainBot 都能让您的旅程难忘。把它想象成你私人的鸭子朋友，打开一个充满乐趣、奖励，当然还有嘎嘎声的全新世界！

如何和你的鸭子一起玩？

1、收到你的鸭子

在这里找到我们可爱的DuckChianBot:

https://t.me/DuckChain_bot

首先，您将收到来自鸭子星球的特别邀请。 🎉

点击打开它，输入你的名字，然后确认登陆鸭子星球。

然后，您将被随机分配一个鸭子角色，并偷偷地向您的 Telegram 氛围致敬，并获得一张很酷的鸭子星球 ID 卡，其中包括：

鸭子名称：您的鸭子独一无二的身份。
公民编号：您在 Duck Planet 阵容中的独特位置。
鸭子生物：一种古怪的描述，捕捉鸭子的独特特征，将个性、位置和性格融入一个有趣的配置文件中。

2、检查你的QUACK分数

每只鸭子都有一个独特的 QUACK 分数（你的鸭子的音量级别），原始分数会受到你是忠诚、活跃还是幸运的 Telegram 用户的影响。

3、点击鸭子——继续嘎嘎叫！

有一个充满乐趣的嘎嘎按钮 -只需单击黄色鸭子即可！每次点击，会随机添加或减去一些QUACK分数，这取决于运气。您的QUACK分数越高，表明您的能力更强，并有可能获得更多奖励。

4、邀请好友获得更多QUACK

分享你对鸭子的爱！邀请朋友加入 DuckChain，每次成功邀请，您都将获得嘎嘎鸭神秘盒子。

每个盒子都包含额外的QUACK分数，因此您可以获得更多奖励。探索并看看你有什么发现！

一次性全部打开或一个一个打开——由您决定！当你打开这些盒子时，可能还会产生很棒的特效。

5、完成任务获得更多的QUACK

点击底部的“Quest”按钮，完成任务即可获得一定的QUACK!

6、QUACK彩蛋

因为并不是每次点击黄色鸭子Quack都能带来分数增长——有时，你的鸭子可能会发现自己陷入了一个棘手的境地。 🦆 如果你的QUACK达到了一定的阈值，你可能会偶然发现难以捉摸的“不走运的鸭子”。对于那些坚持不懈的人来说，你有机会解锁火热的“烤鸭”。 🔥

探索Duck Planet的乐趣不仅仅在于QUACK叫了多少次，获得了多少QUACK分数，还在于你的旅程以及你沿途发现的惊喜。

这次我们将省略彩蛋照片，请亲身参与其中吧？您可能会解锁一些我们可爱的彩蛋！ 🐣

让我们嘎嘎叫吧！

DuckChainBot 已上线，等待您开始您的嘎嘎冒险！无论您来这里是为了享受乐趣、获得奖励，还是只是为了成为 TON 上最古怪的社区的一员，我们都准备好欢迎您来到 Duck Planet。

单击此处立即开始。让我们看看你的鸭子能获得多少QUACK分数！ 🐥

别忘了，你嘎嘎叫得越多，你就越接近获得更多奖励！ 🎁

与 DuckChainBot 一起嘎嘎登上顶峰！

Lecturas Relacionadas

Leading Players in Large Models Drain the Primary Market

The AI industry is witnessing an unprecedented concentration of capital into a handful of leading players, signaling what insiders call the "eve of a final shakeout." A staggering funding surge exceeding $7 billion hit just three Chinese companies in May alone—Kimi, StepFun (接近完成融资), and DeepSeek—with the latter's valuation reaching $45-$50 billion. Globally, giants like OpenAI, Anthropic, and SpaceX (set to merge with xAI) are preparing for public listings, collectively eyeing valuations over $3 trillion. This capital is no longer fueling a broad "hundred-model war" but is being funneled to "refuel" the final few contenders, following a sector-wide attrition rate exceeding 90%. This frenzy is driven by a fundamental shift in industry logic. The focus has moved from比拼模型智商 (competing on model intelligence) to "token factory economics." The explosion of long-context AI agents has massively increased token consumption per task. With token supply constrained by bottlenecks in HBM memory and power infrastructure—key factors in production costs—dominance now hinges on owning and efficiently operating large-scale compute resources. Major tech firms are investing hundreds of billions annually in this AI "power grid." Consequently, competition pivots to three core areas: 1) **Monetization** as the "AGI premium" cools, forcing a shift from user growth to revenue; 2) **Cost efficiency**, where reducing inference costs becomes the ultimate KPI as model capabilities commoditize; and 3) **Strategic path divergence** between enterprise-focused AI (prioritizing integration and reliability) and consumer-facing applications (betting on scale and user engagement). The message is clear: the final capital injections are determining the endgame lineup. Success will depend not just on technical prowess, but on transforming technology into a sustainable, profitable business model with demonstrable return on massive compute investments.

marsbitHace 6 min(s)

Leading Players in Large Models Drain the Primary Market

marsbitHace 6 min(s)

AI Giants Queueing Up for IPOs: Is This the 'Last Dance' for the U.S. Stock Market?

A massive wave of IPOs from AI giants like OpenAI, Anthropic, and SpaceX is taking shape, potentially reshaping the U.S. stock market. OpenAI is reportedly preparing for a historic IPO, targeting a valuation over $1 trillion and raising roughly $60 billion, which would dwarf previous records. Anthropic is also advancing its own IPO plans, projecting significant revenue growth and achieving quarterly operating profit. However, their financial profiles starkly differ. While Anthropic is nearing profitability with a focus on enterprise clients, OpenAI continues to report substantial losses, with a negative operating margin and expectations for positive cash flow only by 2029-2030. Analysts warn these listings could trigger a major "passive fund reshuffle," forcing index funds to sell holdings in established tech giants to make room for the new entrants, potentially pressuring the broader market. Some observers view the IPO rush as a "risk transfer," allowing early private investors to cash out at peak valuations while passing future financial uncertainty to public market investors. The divergent paths of Anthropic's near-term profitability versus OpenAI's long-term, high-cost growth narrative present a critical choice for investors. The outcome of these IPOs is seen as a major swing factor for risk assets in 2026, testing whether this surge marks a new cycle or a potential peak.

marsbitHace 14 min(s)

AI Giants Queueing Up for IPOs: Is This the 'Last Dance' for the U.S. Stock Market?

marsbitHace 14 min(s)

The Richest Fed Chair in 112 Years Is Here: Kevin Warsh Is Rewriting the Rules

Kevin Warsh, with a personal fortune exceeding $130 million, became the 112nd and wealthiest Chair of the U.S. Federal Reserve on May 22nd. A former Wall Street investment banker and key figure during the 2008 financial crisis, Warsh lacks a traditional academic background for a central banker but brings deep market experience. He proposes an unconventional policy approach of simultaneously reducing the Fed's balance sheet ("quantitative tightening") while cutting interest rates, arguing that a smaller balance sheet would allow for more effective rate policy. His ascent marks a potential regime change at the Fed. Warsh aims to reform the institution's decision-making processes, tighten communication discipline among officials, and reduce reliance on forward guidance like the "dot plot." This shift responds to the Fed's current dilemma: fiscal policy is expanding the government's balance sheet through deficits, while monetary policy's ability to shrink its own $6.7 trillion balance sheet is severely constrained, creating pressure on long-term interest rates. Analysts expect Warsh's tenure to sustain high volatility in the U.S. Treasury market due to persistent supply pressures. Furthermore, his leadership coincides with a gradual, structural erosion of dollar dominance, evidenced by its declining share in global reserves and cracks in the petrodollar system, with increased use of alternatives like the Chinese yuan in oil trade. For investors, this environment underscores the importance of portfolio diversification, including assets like gold and Chinese sovereign bonds, amid a fluctuating dollar credit anchor.

链捕手Hace 28 min(s)

The Richest Fed Chair in 112 Years Is Here: Kevin Warsh Is Rewriting the Rules

链捕手Hace 28 min(s)

τ Scaling: Huawei's New Growth Engine Designed for the Post-Moore Era

**Tau Scaling: Huawei's New Growth Engine for the Post-Moore Era** For 60 years, progress in semiconductors was driven by Moore's Law – making transistors smaller, denser, and cheaper. This path has now stalled due to plummeting returns below 7nm, astronomical lithography costs, and rising per-transistor expenses. After six years and testing 381 production chips, Huawei’s semiconductor team proposes a fundamental shift: **stop competing on size, start competing on time**. This is the core of their "τ (Tau) Scaling" theory. It treats *time* as the key optimization metric, compressing characteristic delays (τ) across all levels – from transistor switching (picoseconds) to data center tasks (seconds), spanning 12 orders of magnitude. **What is τ Scaling?** It holistically minimizes delay/time constants (τ) across four layers: transistors (switching speed), circuits (signal delay), chips (compute/memory access), and systems (end-to-end communication). The goal is to align optimization from process and circuit design to architecture and systems using this unified metric. **Mobile Application: LogicFolding** Without advancing the process node, this technique vertically stacks chips using ultra-precision hybrid bonding, distributing critical paths across layers ("stacking floors"). Results include a 55% transistor density increase, 41% better energy efficiency, over 40% higher SRAM frequency, and a roadmap targeting 4GHz by 2029. **AI Data Center Application: Full-Link Latency Compression** With 80% of AI cluster energy and 70% cost spent on data movement, the focus is slashing communication time. Key innovations include: 1. **Unified Bus:** Cuts multi-layer protocols, reducing remote access latency from microseconds to ~100 nanoseconds – 500x faster. 2. **Hi-ONE Optical Interconnect:** Replaces copper with fiber, enabling 8Tb/s per module and scaling distances from 1m to 100m for 10,000-chip clusters. 3. **3D Folding:** Solves the "interface bottleneck" of 2.5D packaging by vertically integrating memory, power, and optical I/O alongside compute, predicting over 100x integration density gain by 2035. **Re-fusion of Logic and Memory** The AI era, where data movement is more critical than computation, demands tight 3D integration of logic and memory, shifting industry influence towards memory and advanced packaging. **Remaining Challenges** include adapting EDA tools for 3D design, optimizing wafer-to-wafer process variation and vertical interconnect losses, and establishing new energy efficiency and benchmarking standards. **Conclusion:** The era of scaling physical dimensions is over. The era of scaling time has begun. By leveraging 3D stacking, system architecture, and interconnect optimization—rather than solely chasing advanced lithography—performance and efficiency can continue to advance. This is poised to be the semiconductor industry's core roadmap for the next decade.

marsbitHace 1 hora(s)

τ Scaling: Huawei's New Growth Engine Designed for the Post-Moore Era

marsbitHace 1 hora(s)

NodeStrategy: The First Ordinals DAT Project, Bringing the Strategy Treasury Narrative to NFTs

**Summary: The Fundamental Flaws of NodeStrategy, the 'First Ordinals DAT'** NodeStrategy presents itself as the first Ordinals Digital Asset Treasury (DAT) on Bitcoin. Its model mirrors MicroStrategy's treasury narrative but for NFTs, specifically targeting the NodeMonkes collection (not officially affiliated). The project's core mechanism is a four-step flywheel: a 10% fee on all trades (90% to treasury, 10% to radFi/Bound marketplace) is used to buy NodeMonkes. These NFTs are then listed for sale on Satflow, with 100% of the sale proceeds used to buy back and burn the project's token, NODESTRAT, aiming to create a perpetual value cycle. However, the design contains critical, self-defeating flaws: 1. **Platform Lock-In:** As a Bitcoin Rune, NODESTRAT lacks smart contract functionality and cannot natively enforce the 10% fee. The fee can only be collected on the radFi/Bound marketplace itself. This makes the entire flywheel dependent on a single platform. If liquidity moves elsewhere, fee revenue drops to zero, halting the mechanism. 2. **Self-Suffocating Economics:** The 10% fee acts both as the flywheel's fuel and a major drag on demand. A buy/sell roundtrip incurs a 20% cost, creating a massive hurdle for traders. This strangles the very trading volume needed to generate fees. 3. **Ineffective Value Support:** The flywheel is starved. Low daily volume (~$9K) generates minimal fees for NFT purchases. The NFT "ladder" sales are slow and unpredictable (only 39 total sold), meaning buybacks are infrequent. While 30.77% of the supply has been burned, this supply reduction cannot lift price without corresponding demand, which is suppressed by the high transaction tax. 4. **Meaningless NAV:** The Net Asset Value (NAV), currently at a 0.46x discount to market cap, is merely a marketing figure. There is no redemption mechanism for token holders to claim the underlying NodeMonkes assets. Price is set by market liquidity flows, not by this theoretical backing. In essence, NodeStrategy's design forces its revenue source (trading fees) to simultaneously cripple the demand and liquidity required for its own success, trapping the project in a stagnant state.

marsbitHace 1 hora(s)

NodeStrategy: The First Ordinals DAT Project, Bringing the Strategy Treasury Narrative to NFTs

marsbitHace 1 hora(s)

Trading

Spot

Futuros