募集5万ETH,深陷虚假融资,SkyArk Chronicles还能上车吗?

Odaily星球日报2024-01-29 tarihinde yayınlandı2024-01-29 tarihinde güncellendi

Özet

SkyArk创始人:误会,都是误会。

原创 | Odaily星球日报

作者 | 南枳

编辑|秦晓峰

募集5万ETH,深陷虚假融资,SkyArk Chronicles还能上车吗?

从 1 月 26 日官宣开始铸造,3A 游戏 SkyArk Chronicles 创世 NFT 销售合约地址累计存款量突破 5 万枚 ETH,成为今年市场最关注的 NFT 项目之一,火爆程度可见一斑。

但今天下午 Binance Labs 一则辟谣公告,却又将 SkyArk Chronicles 推入虚假融资的舆论漩涡。公售参与者开始担心项目跑路,只希望尽快拿回本金。

短短三天之内,SkyArk Chronicles 的社区口碑急剧下滑。今晚项目方还将揭晓 Bid 获胜者名单,未来走势更是增添了极大的不确定性。Odaily星球日报梳理了 SkyArk Chronicles 相关信息,供用户投资进行判断。

一、项目火爆,融资信息被辟谣

1 月 12 日,SkyArk Chronicles 宣布完成 1500 万美元融资,Binance Labs 领投。

1 月 26 日,SkyArk 官宣开始 NFT 发售活动。其中魔法书白单定价 0.15 ETH,而公售和白单将在 0.2 ~ 0.6 ETH 的范围内 Bid 出价。

由于币安投资背景叠加近期 NFT 市场回暖,用户对该项目的预期拉满(期待代币未来上线币安),纷纷选择以 0.6 ETH 的顶格价格参与 Bid。截至今天上午,短短三天,SkyArk 创世 NFT 销售合约地址存款量突破 5 万枚 ETH,暂报 50, 928.9 ETH,约合 1.15 亿美元。

就在社区对 SkyArk 的未来进行憧憬时,Binance Labs 一则公告打破了幻想。今天下午,Binance Labs Fund 发文表示,SkyArk Chronicles 是 Binance Labs 于 2021 年通过 Binance Labs 孵化器第三期孵化和投资的项目,Binance Labs 并未参与项目今年官宣的最新一轮融资。

募集5万ETH,深陷虚假融资,SkyArk Chronicles还能上车吗?

随后,SkyArk Chronicles 也在 X 平台发文证实了币安的公告。“Binance Labs 在第三期孵化器计划投资并孵化了 SkyArk Chronicles,这是其第一轮也是唯一的一轮融资。”

募集5万ETH,深陷虚假融资,SkyArk Chronicles还能上车吗?

并且,SkyArk Chronicles 还删除了今年 1 月 12 日发布的 1500 万美元融资推文。

募集5万ETH,深陷虚假融资,SkyArk Chronicles还能上车吗?

SkyArk 项目方的迷幻操作,也让社区成员对 SkyArk 融资真实性存疑,认为存在虚假宣传,担心项目方直接卷款跑路。“现在只希望项目方别跑路,退没中奖的钱。”也有社区成员对 Binance Labs 未能及时辟谣表达不满。

最新消息,Binance Labs 发文解释今天辟谣的初衷:

  • 正常情况下,项目方 PR 前会和我们沟通,确认发布内容,这点在投资合同条款里;项目方如果没有找我们沟通,但做到实事求是,我们也不会在意。核心问题是 SkyArk Chronicles 团队 PR 之前我们并不知道 1500 万美元这一轮的投资,以及会提及 Binance Labs 领投; 

  • SkyArk Chronicles 团队发布 PR 后,我们有联系项目方删除更正;到今天部分用户来找 Binance Labs 确认投资信息,我们才发现项目方仅删除了推特,并未澄清事实,所以 Binance Labs 作了单方面澄清。 

“一个项目的发展,不会因为 Binance Labs 澄清事实而崩溃;如果建立在虚假预期的繁荣,也不是真的辉煌。从这段时间项目方的运营和造势能力来看,我们可以看到这个项目方在对 C 端用户和社区的潜力,但希望大家聚焦产品,而不是建立在币安 1500 万美元领投的误会之上。”Binance Labs 表示。

此外,社区中也流传着 SkyArk 卖壳的传闻,称该项目现在团队曾有项目 Rug 黑历史。SkyArk 创始人 Kelvin 在今晚 AMA 中表示,卖壳说法为谣传,数名创始人均位于新加坡,其个人资料均公开可查询,用户无需担心退款问题,将按照计划正常进行。

二、 1500 万美元融资的真实性

在币安辟谣后,市场最关心的问题莫过于,SkyArk 宣称的「 1500 万美元融资」到底是真是假,其中又有多少的水分?

SkyArk 创始人 Kelvin 回应称,确实有 1500 万美元融资,主要是币权和股权的多轮融资。并且只进行过一次币权融资,Binance Labs 参与了该轮并占有最大份额,Binance Labs 或误解为 SkyArk 再次进行了币权融资。

根据 SkyArk 已删除的公告,融资参与机构还有 Vividthree、 GuildFi、 Jambo、 BreederDAO、LayerZero 首席执行官 Bryan Pellegrino、Tangent Ventures 联合创始人 Wangarian 和 Story Protocol 首席执行官 S.Y. Lee 等。

Odaily星球日报调查发现,Vividthree 是新加坡第一家上市的虚拟现实 (VR)、视觉效果和计算机成像工作室,在沉浸式技术领域拥有专长。

2022 年,VividThree 通过投资 GammaR 进军 NFT 游戏行业——认购 GammaR 高达 408 万美元的可转换贷款。(Odaily 注:可转换贷款是一种贷款形式,允许贷款持有人在未来的某个时间将贷款转换为公司的股票。)GammaR 是一家游戏和游戏化公司,由 Jonathan Zhang(中文名 Zhang Weiquan,张伟全)于 2021 年创立,同时 Zhang 也是 SkyArk 的联合创始人以及前任 CEO。

募集5万ETH,深陷虚假融资,SkyArk Chronicles还能上车吗?

在获得 Vividthree 投资后,Zhang 于 2022 年 5 月 31 日起担任了该公司(副)CEO,并于 2023 年 11 月 29 日离任,原因不详。

募集5万ETH,深陷虚假融资,SkyArk Chronicles还能上车吗?

募集5万ETH,深陷虚假融资,SkyArk Chronicles还能上车吗?

简而言之,Vividthree 确实曾向 GammaR & SkyArk 提供过一笔四百万美元的资金,并且 VividThree 也在 SkyArk 获得了较大的管理权力——文件称在职期间,Zhang 放弃任何有关 GammaR 和 SkyArk 事宜的讨论、决策、投票和付款指示,转而由 VividThree CEO Charles Yeo 负责。

除了 Vividthree,Odaily星球日报并未在查到相关组织关于投资 SkyArk 的公告,有待进一步证实。关于 SkyArk 最新动态,Odaily星球日报也将持续关注。

İlgili Okumalar

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit38 dk önce

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit38 dk önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit50 dk önce

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit50 dk önce

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds. When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users. The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound. Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.

marsbit53 dk önce

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbit53 dk önce

Weekly Editor's Picks (0613-0619)

Weekly Editor's Picks (0613-0619): Market Insights & Analysis This weekly digest curates in-depth analysis often lost in the information flow, focusing on key insights across macro trends, investment, and technology. **Macro & Geopolitics:** With the Strait of Hormuz reopening and military conflict shifting to negotiation, markets are pivoting from "war shock" to "supply restoration." Trades include shorting crude risk premiums, longing airlines/tourism, Asian energy importers, and bond duration, while shorting inflation expectations. LNG, fertilizer, and chemical chains are also being repriced. **Investment & VC:** Ray Dalio advises against betting on concentrated AI giants dominating indices, advocating for diversified portfolios of high-quality, low-correlation assets instead. Analysis covers the 4-year crypto cycle, predicting the core surviving product by 2029 will be asset trading markets. Current BTC metrics suggest a potential bottoming zone, presenting a patient accumulation window. SpaceX's high-profile IPO at a $2.1T valuation faces scrutiny over fundamentals, with key watchpoints being its likely inclusion in the Nasdaq index and Q2 earnings. Concerns are raised about potential "gamma squeeze" and systemic risks if its narrative-driven valuation gets amplified by passive index funds. Robinhood (HOOD) is noted for breaking its high correlation with crypto, bolstered by its stock trading and new underwriting business. **Web3 & AI:** A warning highlights ~$1.8T in off-balance-sheet AI infrastructure commitments (purchase commitments, leases) as a potential systemic risk if AI monetization lags. AI models are being used for World Cup predictions, adding a new layer for betting markets. A cost breakdown of a $20 AI subscription reveals the supply chain from model companies to cloud, GPUs, and power. **Prediction Markets:** The emergence of prediction market "concept stocks" is noted, with Robinhood developing its own platform, Rothera, signaling a shift from market competition to a "channel war" for user access. **CeFi & DeFi:** The SpaceX IPO tested perpetual contract mechanisms for pre-IPO assets, highlighting challenges in handling corporate actions like stock splits on-chain. The de-pegging of STRC (Strategy's preferred share) to ~$89 reflects market concerns over MicroStrategy's capital structure and BTC-backed leverage model. BlackRock's covered-call Bitcoin ETF (BITA) offers yield but caps upside, appealing to yield-seeking institutions. **Ethereum:** An opinion piece argues Ethereum's core strength is its vast developer community and composability, solidifying its role as the default operating system for the financial internet. **Weekly Hot Topics:** Include the US-Iran deal reopening the Strait of Hormuz, Fed's hawkish hold, Anthropic restricting model access, SpaceX acquiring Cursor, and a humorous stock surge for "Liuliumei" due to its "LLM" ticker.

marsbit58 dk önce

Weekly Editor's Picks (0613-0619)

marsbit58 dk önce

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

In this letter to entrepreneurs, Alliance reflects on the success of Cursor's $60 billion sale to Elon Musk, using it as a case study to counter the misconception that opportunities in crowded fields like AI or crypto are exhausted. The piece argues that great companies like Cursor, Stripe, Figma, and Shopify are not built by geniuses with perfect ideas, but by founders who start with a non-consensus belief about the future and build for years before that future becomes obvious to everyone. They identify long-term shifts, find overlooked entry points, and execute relentlessly. The framework for success involves: 1. **Identifying your place in the technology cycle**: Early-stage opportunities focus on making new tech usable for power users (e.g., Coinbase, Cursor). Later-stage opportunities involve finding the "yin" to an existing "yang"—the blind spots of first-generation players (e.g., Stripe vs. PayPal, Figma vs. Adobe). 2. **Cultivating unique insights**: Immerse yourself deeply in the market. Use every product, talk to users, and build an audience. Insights will emerge naturally from deep engagement. 3. **Finding a "hair-on-fire" problem**: Look for a 10x improvement or a severe, urgent pain point. The strongest signal is people already building clumsy workarounds. 4. **Building a focused MVP**: Don't just add features because you can. Ask why users would abandon their current tool for yours. The best startups rarely force new behaviors; they improve familiar workflows with drastically lower friction. 5. **Winning a distribution channel**: Distribution is often the moat. Before product-market fit, achieve channel-market fit. Find where your customers are and build an engine to reach them, even through unscalable, manual efforts initially. 6. **Persistence**: The final, unteachable ingredient is resilience. Success stories like Cursor, Airbnb, and Nvidia involved years of grinding, rejection, and perseverance when the path forward seemed unclear. The conclusion is that there is no secret. Most people fail to consistently execute these steps over the long term. The few who do build the companies that define the next era. The world is yours to create.

链捕手1 saat önce

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

链捕手1 saat önce

İşlemler

Spot
Futures
活动图片