过去 2 小时跟踪了全网 435 条新闻消息，筛出 5 条值得关注的核心信号。美国 4 月 CPI 飙升至 3.8% 创三年新高，配合霍尔木兹海峡 10 亿桶的实物缺口，二次通胀已从预期变为物理现实。 1/ US CPI hits 3-year high as energy costs explode. Headline 4.0% data shows 3.8% YoY growth with energy inflation surging to 17.9%. Fed's Goolsbee calls the report 'worse than expected' as core services hit 0.45% monthly, effectively killing H1 rate cut hopes. $TSM $NVDA 2/ Global oil deficit reaches 1 billion barrels. ADNOC CEO warns the Hormuz blockade has created a massive physical supply gap that compounds daily. With WTI breaking $101 and Brent at $107, the market is finally pricing the structural failure of global energy transit. $CVX $XOM 3/ CME to launch AI compute futures. The world's largest derivatives exchange is partnering with Silicon Data to commoditize GPU rental rates. This shift turns AI compute from a capital expense into a hedgeable financial asset, validating the 'compute as the new oil' paradigm. $NVDA $AVGO 4/ Cerebras IPO at $5.5B valuation triggers OpenAI windfall. The chipmaker's listing could net OpenAI over $5B for its 11% stake as it seeks to diversify hardware supply. This establishes a clear valuation floor for custom AI silicon outside the NVIDIA monopoly. $MSFT $NVDA 5/ Treasury Secretary Bessent backs Bank of Japan's path. Meeting with PM Ishiba, Bessent signaled 'full confidence' in Governor Ueda and acknowledged that fundamentals will stabilize the Yen. This reduces the tail risk of a chaotic, uncoordinated global carry trade unwinding. $SONY $TM That's the signal from this window. With CPI and energy both breaking higher, is the Fed's 2% target officially dead? Repost if you're watching the same tape.

Musk 跟 OpenAI 这场撕，每周都有新爆料，这周 Ilya 也现身了。报了几个有趣的点。 1、 现场让 Ilya 确认手里的 OpenAI 股份现在值多少钱，他自己说的数字是 70 亿美元。上周 Greg Brockman 的是接近 300 亿。 Ilya 当年从 Google 出来加入 OpenAI 的时候，Google 给他的 offer 是 600 万美元一年。他没去，理由是不想为钱做事，要去做非营利的 AGI。 从非营利组织到亿万富翁制造机，这个对比就是整个事件最锋利的一个切口。 （顺便，他还说了一句 "I felt like I put my life into it"） 2、更好笑的是 2023 年 11 月那场政变的复盘。 lya 庭上承认，他花了一整年收集证据，准备罢免 Sam，（很多重要证据是 Mira 提供的），理由是 Sam 有“consistent pattern of lying”（撒谎成性）。然后 11 月那个周五，他主导董事会投票，把 Sam 拿下。 接下来这句是我觉得最高光的：他说投完票之后，他整个周末都躲着没上网，后来又改变主意，因为他担心 OpenAI 会在没有 Altman 的情况下崩盘。 刚发动了硅谷史上最戏剧的一次内部换帅，然后自己关机失联了一整个周末，完全错过对手在窗口期里完成的反击布局。等他周一上网，Microsoft 已经接住 Sam，员工请愿信在内部疯传，要求董事会把 Sam 请回来…… 3、Ilya 曾经写，“地球上最强 CEO”是 Elon。八年后，他站在 Elon 律师的传唤名下作证，但被告席上是他自己投票推上去又推下去又签信请回的 Sam。时间和立场的连环滑动。 OpenAI 这事儿最讽刺的地方在于：当年那些“不为钱”的人，最后每一个都因为不为钱而拿到了天量的钱；那些喊着“开放”的人，最后建了 AI 行业最封闭的一家公司。 Musk 起诉的就是这个背叛。但……可能谁都改变不了什么。

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.

号称「世界第二强」的俄军，打了一场仗，结果把整个彰化县的人口总数都给打没了？🤯 没开玩笑，这份最新的战损清单，荒谬到连好莱坞编剧都不敢拿来拍。 乌克兰军方刚刚掀开了俄军的底牌，从2022年开打到现在，俄罗斯已经损失高达 133 万 4030 名部队。你没听错，133万。这早就不是什么「特别军事行动」了，这根本是把人当成免洗筷，一卡车一卡车往战场的绞肉机里倒。而且光是过去24小时内，俄军就又报销了上千人，这种人命消耗速度简直骇人听闻。 来看看这份号称「地球最大资源回收场」的清单有多夸张。俄罗斯总共砸掉了将近 1万2千辆坦克、2万4千多台装甲车，还有四万多门火炮。一万两千台坦克被当成废铁烧掉是什么画面？这数字恐怕连冷战时期的苏联老兵看了都要心肌梗塞。更别提还有435架战机、33艘舰艇，甚至连潜艇都赔了两艘进去。一个连大型水面舰队都快凑不齐的乌克兰，能把俄罗斯打到潜艇沉没，绝对是现代战争史上的顶级地狱梗。 打这种没有底线的消耗战，乌克兰自己也是在咬牙硬撑。虽然基辅官方因为军事机密，对自家伤亡保密到家，但根据西方权威智库 CSIS 的独立估算，乌军的伤亡大约落在五、六十万人左右。算下来，双方的战损比大约是 1：2.5 到 1：2 之间。普丁现在的战术非常简单粗暴：仗着俄罗斯人口基数大，硬生生用两三个俄国兵的命去换一个乌克兰兵的命，试图把对手的弹药跟青壮年人口彻底耗干。 这场仗给全世界看了一个最血淋淋的现实：现代战争就算无人机满天飞、科技再进步，最后拼的依然是谁的血条比较长、谁的底线比较低。对台湾来说，这更是个活生生的警世预言——当一个独裁大国决定「不计代价」要吞并邻国时，那个「代价」的数字会膨胀到多么反人类的境界。 打到超过133万人伤亡还继续梭哈，大家觉得俄罗斯现在到底是底气太足，还是已经骑虎难下根本没办法煞车了？这局势接下来会怎么走，留言说说你的看法！ (示意图／AI生成，仅作为新闻说明辅助使用) 来源：生活网

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