Froganas:涅槃重生的百倍Solana NFT新热点

Odaily星球日报Опубліковано о 2023-12-26Востаннє оновлено о 2023-12-26

Анотація

是创作者的坚持,让 Froganas 迎来了涅槃重生。

Solana 生态最近非常火爆。除了出了很多财富效应极强的 meem Token,NFT 市场在过去两天也出现了普涨。这其中,最引人关注的 NFT 项目之一便是 Froganas。

Froganas:涅槃重生的百倍Solana NFT新热点

Froganas

Froganas 在 12 月 22 日以 0.069 SOL 的价格发售,总量 5555 个,在 2 分钟内便快速售罄。根据 Solana 交易市场 Tensor 的数据显示,在今天,Froganas 的地板价曾一度到达过 14.47 SOL,相比于铸造价格的最高涨幅曾达到 14000% 以上。

Froganas:涅槃重生的百倍Solana NFT新热点

但在取得如此巨大的成功之前,这个项目已经「夭折」。是创作者的坚持,让 Froganas 迎来了涅槃重生。

「夭折」

这个项目,之前的创始人叫作「Blake」,创作者 @ThinTallTee 对于 Blake 的 Rug 行为始料未及,因为他完全想不到在付出了近两个月的工作后,Blake 只是为了 Rug 将近 9000 美元...

Blake 曾对 @ThinTallTee 解释称进行预售只是为了让项目拥有忠诚的早期支持者,而 Tee 对此并没有想太多,只觉得这可能是为了应对当时还不是很好的市场环境而进行的营销策略。在 200 个 Froganas 预售完成后,Blake 立即关掉了项目的 Discord 服务器然后卷款跑路。

对于付出了相当多心血进行艺术创作的 Tee 来说,这让他非常苦涩。但,他没有消沉,决心将一切拉回正轨。他决定通过空投补偿在预售中被 Rug 的支持者,并且把完整的艺术呈现给所有 Solana NFT 玩家。

涅槃重生

Tee 本人应该也想不到,重生的 Froganas 会引起如此剧烈的 FOMO。不得不说,这个项目的规划在 Solana 上别具一格,就是纯艺术。这在发 Token 横行甚至许多干脆是 DeFi 项目来发 NFT 的 Solana 上,属实清新脱俗。

Froganas:涅槃重生的百倍Solana NFT新热点

专注艺术,并且将林肯在葛底斯堡中的「民有、民治、民享」作为 Froganas 的 Slogan

不过,引发 FOMO 的主要原因我想还是有不少 BAYC/MAYC 的持有者在 Twitter 上抱团喊单。麻吉大哥 @machibigbrother 在昨天半夜也发了一条「暧昧」的推文,不确定这是否对 Froganas 的 FOMO 也起到了影响。

Froganas:涅槃重生的百倍Solana NFT新热点

麻吉大哥:「我看上了 Solana 上的一个 PFP 系列,现在要研究怎么买」

Froganas:涅槃重生的百倍Solana NFT新热点

@machibigbrother 发推文后,Froganas 的价格走势

结语

虽然 Froganas 的故事挺感人的,但是 FOMO 的主要原因还是 Solana 生态的火热。这样的上涨其实我们先前已经见过很多,抱团喊起来,同时出现稀有款的高价成交,比如之前我曾在文章中提及的 Gruffters 等。至于,项目之后可持续性如何,又还能够走多远,很多时候我们不应该盲目乐观。

Froganas:涅槃重生的百倍Solana NFT新热点

Froganas #5047 以 250 SOL(28735.5 美元)的价格成交

市场如此火热,大家不用太过焦虑,静下心来研究其它项目,机会还有很多。

Пов'язані матеріали

How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

marsbit58 хв тому

How to Do Research Well: Deliberately Practice the Real Skills That Matter

marsbit58 хв тому

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

On June 15th, shares of Zhipu AI surged dramatically on the Hong Kong stock market, peaking at a 47.6% gain before closing 32.82% higher. This sharp increase was directly triggered by two recent industry events. On June 12th, Anthropic announced it was suspending global access to its latest flagship models, Claude Fable 5 and Claude Mythos 5, to comply with a U.S. government export control order. The next day, Zhipu AI announced it would open access to its latest open-source flagship model, GLM-5.2, under the permissive MIT license. The Anthropic incident highlighted a critical issue beyond raw model capability: the risk of sudden, unpredictable loss of access to advanced AI models, especially for developers and enterprises deeply integrated with them. This has shifted industry and market focus toward factors like stability, sustainable access, and controllability. Zhipu's move, promoting "frontier intelligence for all," positions its openly available model as a reliable and accessible alternative. The GLM-5.2 model emphasizes "Long Horizon Task" capabilities with a 1M context window, targeting complex, multi-step coding and engineering workflows where maintaining context is crucial. Analysts note this event exposes the risk of dependency on closed-source models subject to single jurisdictional controls, potentially accelerating a shift toward domestic base models and localized deployments. The market's reaction signals a new valuation dimension in AI: providers who can offer stable, long-term, and sustainably accessible AI capabilities are gaining strategic importance.

marsbit1 год тому

Following US Ban on Fable 5, Zhipu AI's Stock Soars 47%

marsbit1 год тому

Fully Entering the AI Era: Alipay Bets on Conversation, WeChat Holds Fast to Social

In May 2026, Alipay announced over 300 million AI payment transactions. Shortly after, WeChat opened its mini-programs for AI integration, sparking controversy by requiring developer source code access. This highlights their diverging approaches to AI integration. Alipay is testing "Project Treasure," an optional AI-native interface replacing traditional app grids with a conversational window. Users can command complex tasks (e.g., "book a ride and order coffee") handled end-to-end by AI. This shift follows an abandoned standalone AI app, focusing instead on enhancing its existing user base. For unmodified mini-programs, Alipay's AI uses "screen-reading" to simulate user interactions, bypassing the need for developer overhaul. It also introduced "Token Pay" for micro-transactions and "AI Wallets" for autonomous agent spending. WeChat, prioritizing its core social function, is taking an embedded approach. Its AI agent will operate within existing contexts like group chats and official accounts, assisting without a separate interface. To enable this, WeChat offers developers two paths: granting source code access for direct AI control ("Automatic Mode") or manually encapsulating services into standardized "Skills." Both place significant burden on developers. Key differences emerge in handling legacy services: WeChat demands developer cooperation (code or labor), while Alipay's screen-reading offers immediate, if potentially less stable, compatibility. Alipay's 3 billion AI transactions demonstrate user acceptance of AI-driven commercial actions. The divergent strategies may reshape mini-program ecosystems—Alipay passively "AI-fying" services, WeChat potentially favoring resource-rich developers—and set competing technical standards. Ultimately, the competition centers on where users entrust the command to "help me get things done."

marsbit1 год тому

Fully Entering the AI Era: Alipay Bets on Conversation, WeChat Holds Fast to Social

marsbit1 год тому

Торгівля

Спот
Ф'ючерси
活动图片