SunPump财富效应炸裂,早期交易员6天将1.69万 美元的 SUNDOG 变成 2000 多万美元

marsbitОпубліковано о 2024-08-22Востаннє оновлено о 2024-08-22

memecoin 生成器 SunPump 于 8 月中旬推出,上线后九天收入就突破 100 万美元 —— 考虑到 Tron 的低费用,这是一个很大的数目。

速览:

  • SunPump 允许用户轻松创建和交易 meme 币,在不到两周的时间内就创造了超过 100 万美元的收入。它非常活跃,24 小时内创建了超过 7,300 个代币,获得了可观的收入。
  • SUNWUKONG 和 SUNDOG 等 meme 币的早期投资者获得了巨额回报,其中一位交易员将 1,000 美元变成了 400,000 美元。
  • 这种病毒式传播为底层 Tron 网络带来了创纪录的收入,两天内收入超过 348 万美元,并对 TRX 和相关资产的价格产生了积极影响。

淘金热期间,商人们通过卖铲子发了大财,而加密货币市场最近也出现了这种行为的影子。新发布的SunPump.meme是 Tron 网络上的 meme 币生成器,由 Tron 创始人孙宇晨支持,在不到两周的时间内就获得了超过 100 万美元的收入。该应用程序允许用户轻松发行 meme 币并像在加密货币交易所一样进行交易。该产品利用了加密货币交易者中持续的 meme 币热潮,这种热潮主要集中在 Solana 生态系统中。SunPump 在概念上与 Solana 的热门应用Pump.Fun类似。两者都允许用户选择图片、选择代币数量、主题,并以几美元的资本发行新代币。

这些代币在 Pump 上的市场价值一旦达到 60,000 美元、在 SunPump 上的市场价值达到 69,420 美元(指模因),就会自动在去中心化交易所上市。SunPump 正在迅速获得关注。Dune Analytics 跟踪的数据显示,过去 24 小时内,SunPump 上创建了超过 7,300 个代币,产生了 585,000 美元的收入。另一方面,Pump 记录了 6,700 个新代币发行,在此期间产生了 366,000 美元的收入。

@justinsuntron的 Sun Pump 在一天结束时以发行的代币和 24 小时费用翻转 Pump Fun。

TRX

SunPump 上推出的几种 meme 币已经为早期购买者创造了巨额的账面利润。链上分析工具 Arkham 跟踪的一个地址“TDm2”显示,其所有者在 SUNWUKONG 上将最初的 1,000 美元购买变成了 400,000 美元,“SUNWUKONG”指的是新发布的中国视频游戏“黑神话:悟空”。另一位交易员在六天内将 1,690 美元的 SUNDOG 变成了 2000 多万美元。Arkham 指出,他们在七个地址中持有 1950 万美元的 SUNDOG,并且已经向交易所发送了 100 万美元。

这位交易员在 6 天内将 16900 美元的 SUNDOG 变成了 2000 万美元。TT4S5 是最早的 SUNDOG 买家之一,以 1.69 万美元的价格购买了 1.0433 亿个代币。
他们目前在 7 个地址中持有价值 1952 万美元的 SUNDOG,并且还向交易所发送了 108 万美元的 SUNDOG,总利润为 2060 万美元。

TRX

该平台的受欢迎程度在一定程度上得益于孙宇晨对 SunPump 未来的乐观看法。“这只是个开始,”他在周四的 X 帖子中说道。“我们正在尽最大努力为业内所有 meme 开发者和用户提供服务。”“现在还为时过早。算一下吧,”孙宇晨周三表示。“600 多亿美元的流动性能创造多大的市场?TRON meme 的总市值仍不到 2 亿美元。向太阳致敬。”

周四,SunPump 的交易费从之前的每笔交易 1% 降至固定费用 0.76 TRX(价值 1 美分),以鼓励更多使用。

TRX

因此,SunPump 的受欢迎程度提升了其底层网络和 TRX 代币的财富。DefiLlama 跟踪的数据显示,Tron 在过去两天分别创下了 348 万美元的收入记录。这是该网络自 2018 年 5 月首次推出以来,单日收入首次超过 200 万美元。

TRX

与此同时,TRX 价格在过去一周上涨逾 20%,CoinGecko 的数据显示,与创始人孙宇晨密切相关的其他基于 Tron 的资产,如 BTT、SUN 和 JST 也大幅上涨,过去一周上涨了 15%。这样的收益才刚刚开始。孙宇晨周四表示,“模因策略”可能在未来 12 个月内为 Tron 区块链带来超过 40 亿美元的收入,这可能意味着至少有 20 亿美元作为奖励给质押者和交易补贴——这将提振 TRX 代币的基本面。

Трендові криптовалюти

Пов'язані матеріали

Why Do We Need an AI Content Perspective Today?

The article "Why Do We Need an AI Content Perspective Today?" explores the complex and often contentious integration of AI into the cultural and creative industries, particularly film and television. It begins with the cancellation of Amazon's AI-generated animation "Punky Duck," highlighting the ethical debates surrounding AI content. AI's rapid advancement is transforming video production, enabling cost-effective, full-length AI films (e.g., "RAPHAEL," "Dreams of Violets") while sparking industry resistance over issues like "synthetic actors." The core debate has shifted from whether to use AI to how to use it responsibly. The article analyzes why AI's entry into film is uniquely unsettling. It distinguishes between "cultural fast food" (short-form, fast-paced content like micro-dramas) and "cultural main courses" (traditional, long-form film/TV). AI currently excels at the former, matching its fragmented narratives, shallow emotional needs, and free-to-consumer models. However, venturing into the latter challenges the human-centric essence of storytelling—creativity, emotional depth, and the unique value of human labor and experience. While AI can generate massive volumes of content and lower costs, it risks devaluing human creativity, leading to homogenized output, and creating unfair competition through potential intellectual property infringement. Its efficiency also amplifies content safety risks, making preemptive governance crucial. To counter these risks, the article proposes establishing clear boundaries guided by a human-centered AI content perspective. It outlines four principles: 1) Amplify, rather than displace, human creative space; 2) Respect and protect human creative output; 3) Ensure human creative control and responsibility remain paramount; and 4) Guarantee transparency and traceability in AI creation. The conclusion emphasizes that humans must act as the "helmsmen" of technology, steering AI development to enhance, not replace, the core human values at the heart of cultural expression.

marsbit25 хв тому

Why Do We Need an AI Content Perspective Today?

marsbit25 хв тому

Planck Retracted? The Father of Quantum Tripped by an Algorithm

The recent discovery that two articles (published in 1940 and 1942) by Max Planck, the Nobel laureate and founder of quantum theory, are marked as "retracted" on Springer's digital platform highlights a curious clash between historical publishing practices and modern automated systems. An investigation suggests these retractions are algorithmic errors, not due to fraud or misconduct. The papers, philosophical reflections on science published in *Die Naturwissenschaften*, were likely flagged by the platform's systems. One article, a republished lecture, may have been mistaken for duplicate publication. Another, sharing a title with a prior article by a different author (a common practice for continuing debates at the time), may have triggered a similar automated check. The digital versions have even been replaced with blank pages, contrary to normal practice of preserving retracted texts. This incident underscores how contemporary digital infrastructure, built around concepts like "self-plagiarism" and strict copyright, can misclassify and obscure legitimate historical scholarly communication. It serves as a warning that digital archives are not neutral mirrors of the past but are filtered by platform rules, potentially distorting the scientific record. As AI systems increasingly rely on such databases, such erroneous metadata could propagate, affecting how future tools interpret and access historical knowledge.

marsbit28 хв тому

Planck Retracted? The Father of Quantum Tripped by an Algorithm

marsbit28 хв тому

Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

The AI community is currently alarmed by widespread reports of significant performance degradation in two leading models. This article details a "mass self-testing frenzy" triggered by a mysterious prompt designed to detect a hidden "Juice" value, representing a model's reasoning compute budget. On OpenAI's side, users suspect a covert, limited test of a "GPT-5.6-sol" model is underway. When using a specific XML prompt on the Codex platform, a normal "gpt-5.5 xhigh" model reportedly returns a Juice value of 768. However, some users routed to the suspected GPT-5.6 test receive a drastically reduced value of 128—a six-fold decrease. This has sparked debate on whether it signifies a major efficiency leap or a "watered-down, low-cost version" achieved by slashing reasoning depth to save computational expenses. Simultaneously, Anthropic's Claude models, particularly the flagship Opus 4.8 Max, are facing intense user backlash for a perceived "physical brain cut." Users on platforms like Reddit report a dramatic decline in the model's once-impressive reasoning, with complaints of it becoming "absurdly" weakened, performing worse than older, lighter models like Haiku. Specific criticisms include: losing long-context memory, refusing to think deeply even in high-reasoning modes, providing instant incorrect answers, and engaging in unhelpful, argumentative, or "gaslighting" behavior where it contradicts users unnecessarily. The article speculates these "stealth downgrades" might be a calculated corporate strategy. Companies could initially release models with temporarily boosted compute to create an illusion of a major breakthrough, then silently scale back parameters later to manage unsustainable inference costs. A proposed underlying cause is a tightened funding environment, potentially exacerbated by SpaceX's massive IPO soaking up market liquidity, which could delay AI company IPOs and force cost-cutting measures like model "nerfing." The core issue highlighted is the asymmetry of information: subscribers pay for a service that can be silently and fundamentally altered without notification or explanation. The viral "Juice test" resonates because it represents users' desire for transparency about what they are actually paying for.

marsbit1 год тому

Refunds! Claude 4.8 Sees Overnight Major 'Dumb-Down', GPT-5.6's Computational Power Reportedly 'Halved'

marsbit1 год тому

Торгівля

Спот

Популярні статті

Як купити SUNDOG

Ласкаво просимо до HTX.com! Ми зробили покупку Sundog (SUNDOG) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити Sundog (SUNDOG).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої Sundog (SUNDOG)Після придбання Sundog (SUNDOG) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля Sundog (SUNDOG)Легко торгуйте Sundog (SUNDOG) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

285 переглядів усьогоОпубліковано 2024.12.10Оновлено 2026.06.02

Як купити SUNDOG

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни SUNDOG (SUNDOG).

活动图片