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Happy White day with Mashu, senpai!! 白色情人节快乐呀💕😆 Thanks for the pics by @Lostdumplings #mashukyrielite# #fgoコスプレ# #fgocosplay# #fategrandorder# #fategrandordercosplay#
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👩‍⚕️👨‍⚕️你知道她/他的20岁、30岁、40岁、50岁是怎样的吗?致敬每一位白衣天使,节日快乐!#国际护士节# Do you know what their 20s, 30s, 40s, and 50s look like? Salute to every angel in white. Happy International Nurses Day! #InternationalNursesDay# #ThankYouNurses# #Healthcare# #Heroes#
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Over the past two weeks, our team XDO has been working closely with @worldlibertyfi — and honestly, it’s been a real surprise for me. 最近两周,我们团队XDO开始和 @worldlibertyfi 密切合作,狠狠的教育了我! Tbh, I had my own stereotypes at the beginning. Trump-backing, access to top-tier global resources — I assumed the team would be the type like: big vision, endless resources, everyone coming to them instead of the other way around. I mean, you can easily afford to be a “laid-back” team with this level of privilege and prestige.😂 说实话,刚开始接触的时候我是有刻板印象的。总统家族背景,全球顶流资源,我assume团体风格会是:愿景很大、资源很多,一定是所有的资源去找他们。可以猜想这种有顶级资源的美国团队有多么躺。 But after two weeks of working with them, I was genuinely impressed — even humbled. 但接触下来非常惊喜,甚至教育到我。 On nye, co-founder @ZachWitkoff was still handling interviews job. By Jan 2nd — when most people were still in holiday mode — their entire team was fully back in action. Every sync was well-prepared, execution was fast, and nothing was half-hearted. Even though many team members didn’t come from a Web3 background, everyone was actively and intensely learning. In every discussion, they consistently identified the single most critical key to success, made fast decisions, and mobilized the entire team to execute. From @ZachWitkoff & @zakfolkman founding-team-level market strategy decisions to execution, implementation, and even contract reviews — all of that can happen within a single day. 新年当天,Co-founder @ZachWitkoff 还在处理这面试的工作。1月2号,当大多数人还在休假模式的时候,他们已经全员到岗火力全开了。每次对接,准备充分,执行迅速,一点不含糊。虽然,很多人之前没有Web3背景,但是每个人在饥渴的学习Web3的知识。并且每次探讨中,总是可以找到决定事情成功的最核心的KEY,然后快速决策并全团队响应执行。是的,从大市场战略的Founding team决策到对其执行到落地执行包括审核合同,一天足以。 This made me reflect: why is a team with such a background working even harder than many startup founders? 这让我开始反思:为什么有这种背景的团队,反而比很多一般的创业者还拼? My guess? Because the whole world is watching. If a normal project fails, you pivot and start over. But WLFI is different — with this kind of background, success is expected. That expectation pushes the founding team to focus on how to succeed even more. That pressure forces them to put in 200% effort to prove that what they build goes far beyond what their so-called “background” could ever hand them. 我猜的——因为全世界都在看。普通项目失败了,换个赛道重来就是。但 WLFI 不一样,顶着这种背景,成功变成了是应该的。所以,整个创始团队更聚焦在如何可以更加成功!这种压力,逼着他们必须用 200% 的努力去证明自己可以做的事情要远远超过他们“所谓的背景”可以给予的。 Another detail I noticed: their execution logic is extremely clear. It’s not the “we have resources, let’s just throw money at it” mindset. They are deliberately building long-term value step by step. They value every partner and every dollar — while also knowing how to turn those into weapons for rapid market capture. And when it comes to critical decisions, they don’t hesitate to invest heavily. You can imagine what this combination can ultimately become: top-tier resources + top-tier execution + a massive market = Massive future for @worldlibertyfi $USD1 By the way, this also validates a thesis I shared in my previous article (link below): in 2025, stablecoins are increasingly becoming the bridge to mainstream assets. Sustainability at the business level matters — and this is exactly the direction we’ve been betting on. 而且我观察到一个细节:他们团队做事的逻辑非常清晰,不是那种「有资源就随便造」的心态,而是真的在一步步构建长期价值。珍惜每一个合作伙伴,珍惜每一分钱,但是同时这些也可以成为快速抢占市场的武器。对于关键事情上,丝毫不吝惜。我们可以想象这种组合——顶级资源 + 顶级执行力 + 超级大的市场 WLFI USD1可以成为什么样最终形态。顺便说一句,也验证了我在之前一篇长文里的思考,今年稳定币成为连接主流资产的趋势越来越明显了。业务本身的可持续性。这也是我们一直在押注的方向。 So YEP! My view on WLFI has completely changed. This is a team that genuinely takes execution seriously, and have the power to make all dreams come true. 所以我现在对 WLFI 的看法彻底改变了。至少从合作体验来说,这是一个认真做事并且有实现造梦能力的团队。 If people with backgrounds are working this hard, what excuse do those without one have to be laid-back?? 「Don't make excuses for not being where you want to be. It usually comes down to not trying hard enough, or focusing on the wrong things.」 「Jiayi never used to create anxiety. But from now on, anxiety and self-reflection start with Jiayi.」 有背景的人都在拼命,没背景的凭什么躺平? 「不要给自己的不够优秀找借口。大多数就是自己不够努力,或者努力方向不对!」 「Jiayi之前不制造焦虑。但是从现在开始,焦虑和反思从Jiayi开始。」 Side note: after deeply engaging with the founding team, I started allocating heavily into $ALTS (already 100% in profit so far) and $WLFI. I’m happy to say that so far, the results have been very encouraging. 题外话: 正式因为深度的接触了创始团队后。我开始重仓WLFI的DAT股票 $ALTS (且翻倍了)和 $WLFI。很开心,目前为止,让我看到了好的结果。 LONG Crypto 🚀 LONG Stablecoin 🚀 LONG Myself
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圓週率日快樂💗 3.14159 最喜歡你們凹嗚~🥰 #WhiteDay# #WhiteDay2023#
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我好难受,有更大的吗,这个满足不了我了 #masturbation# #Adult# toys #White# Tiger @sktwober @sktworel @sktwolris @sktwobba
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In couple hours 2022 year of the Tiger 🐯 will be over~ So let me catch the last bus and drop my white tiger selfies here 🤣🤣🤣🤣 再过几个小时2022虎年🐯就要结束了!赶个末班车赶紧发一下白虎自拍!哈哈哈哈哈哈哈哈干
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在绿幽谷所见野花:棕刺仙人掌(brown spine prickly pear)、沙漠球锦葵(desert globe mallow)、白边地锦(white margin sand mat)、马丁营火焰草(Camp Martin paintbrush)。
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把一个恨川普的人转化为震惊者,只需要一小时。 UFC 首席执行官 Dana White 披露了这个社交实验的过程。 带一个坚定的反对者去和川普吃顿饭。 一小时的时间,其中有 40 分钟你会笑得前仰后合。 当饭局结束,走出餐厅的那一刻,这些人通常会愣在原地。 他们会对 White 感叹:这和我想象的完全不同。 即便是像 Bill Maher 这样坚定的反对者,在近距离接触后也会产生这种认知修正。 大多数人的厌恶感,往往来自媒体滤镜下的标签化认知。 但真实的个人魅力和高强度的幽默感,会在物理接触中迅速击穿叙事泡沫。 这种通过线下互动快速消解敌意的能力,是他不断吸引新选民的核心动力。
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和Quant Alex @StochAlex07 讨论: SABR Theta与Spot Theta+Vol Theta+Cross Theta的异同与应用,以及SABR模型自洽性分析。 **English Summary of the Chat** **SABR Theta vs Spot Theta + Vol Theta + Cross Theta** The conversation between **Alex Wu** (white bubbles) and **Jeff Liang** (green bubbles) is a technical discussion focused on **SABR Theta versus Total Theta** (i.e., Spot Theta + Cross Theta + Vol Theta), model self-consistency, PDE residual, and the correct definition of SABR Greeks. ### Key Points Discussed: 1. **SABR Gamma = Spot Gamma** (first major question, raised by Jeff) Jeff asked whether SABR Gamma (\(\partial^2 P / \partial F^2\)) is identical to Spot Gamma and whether it includes the dependence of \(\sigma_B\) on \(F\). He also provided the full chain-rule expansion of SABR Gamma in terms of Black-76 Greeks. Alex confirmed the understanding and **later affirmed in code** that this is exactly how SABR Gamma is implemented in their system. 2. **SABR Theta vs Total Theta and Model Self-Consistency** (main topic, led by Jeff) Jeff shared a clear 3-point understanding: - SABR Theta is computed directly via the SABR approximation formula to obtain \(\sigma_B\), then applying the Black-76 chain rule: \(\partial P/\partial t =\) BS_Theta(\(\sigma_B\)) + BS_Vega \(\cdot \partial\sigma_B/\partial t\). - Total Theta is the exact decomposition from the SABR PDE (Spot Theta + Cross Theta + Vol Theta). - When the model is **fully self-consistent** (Residual = \(\partial P/\partial t + \mathcal{L}P = 0\)), SABR Theta = Total Theta; otherwise the difference is the unexplained PnL caused by the approximation error in the Hagan formula (especially pronounced in long-dated, high vol-of-vol, or high-skew options). 3. **Practical Implication – Theta Decomposition Decision** (comment by Alex) Alex noted that whether to perform Theta decomposition depends on the risk-management approach: - Without decomposition → use SABR Gamma vs. dP/dt. - With decomposition → SABR Gamma maps to Spot Theta, Vanna to Cross Theta, and Volga to Vol Theta. **Overall Tone**: The discussion is highly technical and collaborative. Jeff drives the conversation by asking clarifying questions and presenting a well-structured 3-point summary of his recent study. Alex provides confirmations, practical insights, and code-level validation. Both participants demonstrate a strong command of SABR model nuances, particularly the relationship between approximation error, PDE residual, and real-world risk management.
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“这位病人,你准备好被实验了吗?” “Are you ready for some experiments?” . ⬇️⬇️⬇️ September Tier 4+5 reward . photo by ig@kunagisa Character: 白护士 white nurse @Wendydydydy2 黑护士 black nurse @nishi_24sakurai #透明护士#
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