真正聪明的地方，是它把学习状态写进文件系统： MISSION.md：为什么学 RESOURCES.md：可信资料 learning-records/*.md：学过什么、哪里卡住 lessons/*.html：每一节课程 不是什么黑科技，但它让学习终于可以积累。

TradFi合约上新｜解锁全球资产，首选 WEEX 👇 贵金属 / 黄金白银 $HL Hecla Mining｜白银、黄金、锌铅矿业 $AEM Agnico Eagle｜黄金矿业 $WPM Wheaton Precious Metals｜贵金属流媒体 $CDE Coeur Mining｜黄金、白银矿业 能源 / 石油天然气 $DVN Devon Energy｜石油与天然气 $TRGP Targa Resources｜能源基础设施 $PSX Phillips 66｜炼油与能源加工 $MPC Marathon Petroleum｜炼油与能源供应链 科技 / AI / 半导体 $SMTC Semtech｜半导体与数据连接 $IBIDEN Ibiden｜半导体封装材料 $HITACHI Hitachi｜数字科技与工业解决方案 $RTXSTOCK RTX｜航空航天与国防科技 $QNTSTOCK Quantinuum｜量子计算 $DOCU DocuSign｜电子签名与数字化办公 生物医药 / 医疗科技 $DHR Danaher｜生命科学与诊断 $MRNA Moderna｜mRNA生物医药 $DXCM Dexcom｜糖尿病管理与连续血糖监测 消费 / 电商 / 娱乐 $CVNA Carvana｜汽车电商 $TGTSTOCK Target｜零售消费 $MELI MercadoLibre｜电商与金融科技 $CAVA CAVA｜餐饮消费 $LULU lululemon｜运动服饰 $RBLX Roblox｜游戏与虚拟互动 金融 / 支付 / 资管 $APO Apollo｜另类资产管理 $CME CME Group｜全球金融交易所 $GPN Global Payments｜支付科技 $VGT Vanguard Information Technology ETF｜科技行业ETF $VUG Vanguard Growth ETF｜成长风格ETF 工业 / 汽车 / 通信基础设施 $TOYOTA Toyota｜汽车制造 $FUJIKURA Fujikura｜光纤与电气基础设施 $FURUKAWA Furukawa Electric｜电线电缆与通信材料 #WEEX# #TradFi# #买美股上WEEX# #黄金# #白银#

加拿大主要的大型企业涵盖零售、银行、能源、电信、运输、采矿和工业等多个领域。 零售业是加拿大经济的支柱产业，由Alimentation Couche-Tard和Loblaw等公司领衔。 银行业仍然是规模最大、最具影响力的行业，TD、RBC、Scotiabank、BMO和CIBC是知名的五大行，运营历史都在百年以上。 能源行业排第三，Suncor、Cenovus、Enbridge、Imperial Oil和Canadian Natural Resources等是行业领先企业。 再往下就是通信、运输和采掘业。

$SAHARA @SaharaAI 背后的项目主导人是 : 刘海 Donnie Liu. 刘海 有以下几个身份： 1 跑路交易所 $BGG  BGOGO  实控人; 2 创始合伙人 @ImoVentures ； 3 原金沙江资本合伙人； 4 原港股Good Holdings Resources天成国际 （00109) 董事。 @colinwu @off_thetarget @TingHu888 @ai_9684xtpa @agintender @xxk_hl @leechan1688 @Cato_KT @richrichardoz @BTC_Alert_ @ETH527 @WhaleFactor @van00sa  @LordOfAlts  @MWhalekiller   @cryptodoc_   @wacy_time1 @cryptosixman @saizyo_crypto

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

【南美機遇】政局突變引爆淘金熱 對沖基金Tribeca瞄準委內瑞拉投資機遇 在投資組合經理Ben Cleary看來，特朗普發動有爭議的突襲行動後，委內瑞拉正成為千載難逢的賺錢良機之一。Ben Cleary的對沖基金Tribeca Global Natural Resources去年回報率估計達到127％。

因做空美国房地产市场而赚取数十亿美元、随后转而看好黄金的对冲基金经理约翰·保尔森表示，他认为贵金属的长期上涨行情才刚刚开始。 保尔森周三接受CNBC采访时说：“我确实认为，黄金正处于长期牛市的开端或早期阶段。随着人们逐渐失去对纸币的信任，黄金作为替代选择的重要性将继续上升。” 保尔森因做空次级抵押贷款而闻名，这笔交易成为华尔街历史上获利最丰厚的交易之一。2009年，他把投资重点转向黄金，并认为金融危机后前所未有的财政和货币刺激措施最终会削弱美元。此后，黄金价格已经上涨约三倍，一度突破5000美元，随后有所回落。 这位亿万富豪投资者表示，黄金需求仍在扩大。各国央行持续增加黄金储备，私人部门的兴趣也在增长。 保尔森说：“黄金正在成为全球最合适的储备货币，并逐步取代法定货币。各国央行的需求持续增长，私人部门的需求也是如此。” 保尔森还认为，与直接持有黄金相比，投资者持有黄金矿业公司的股票可能获得更高回报，尤其是那些拥有大量尚未开发储量的公司。 他说：“我认为，投资早期阶段的黄金股票是最好的方式。” 保尔森发表这番言论之际，NovaGold Resources宣布，将收购Paulson Advisers持有的美国阿拉斯加州Donlin Gold项目40%权益。 保尔森目前担任NovaGold联席董事长。他表示，由于公司拥有庞大的黄金资源基础，在金价上涨时，投资者可以通过公司股票获得更高的杠杆收益。 保尔森说：“NovaGold拥有4000万盎司的探明和控制黄金资源及储量，而公司市值只有42亿美元。我认为，投资黄金的最佳方式是购买NovaGold这类股票，甚至直接投资NovaGold。”(CNBC)

新版的 GLM 5.2 基本稳稳站住全球开源模型第一的位置了，作为开源模型可以排到全球前三。上一个这么牛逼的还是 DeepSeek，给 AI 圈带去一点震撼。Claude 4.6 之后提升就没那么大了，4.6 也是 AI 编程的可用线。前端时间巨头们开始对 AI 投入算总账，几十亿美金的 AI 账单，现在用开源的GLM 5.2自己部署，就能立即省下高额的 AI 账单，Claude 的收入端可能要大受影响了。 中美顶尖 AI 的差距大概也就是半年左右，另一方面也说明大模型的护城河没那么深，半年时间的差距并非不可逾越，Anthropic 的万亿估值显然是挺虚的。Claude 年初最辉煌的时候，总有人会说 Claude 多牛逼，迭代速度多强，我去看了一下 zcode 的迭代速度基本是一天一更，这次zcode3.0+GLM5.2 真的和 codex 使用起来没什么太大差距了。 还有中国为什么一直追不上，主要是因为算力资源的限制，假如算力限制放开怕是已经 4:6 开了。可怜的智谱算力一直都不足，难以想象要是有充足的算力且模型是闭源的情况下，难以想象收入会高到什么程度。 The new version of GLM 5.2 basically stand firmly in the first position of the global open source model, as an open source model can be ranked in the world's top three. The last one was DeepSeek, bringing a little shock to the AI circle. After Claude 4.6, the promotion was not so big, and 4.6 was also an available line for AI programming. The front-end time giants are starting to take a general ledger of AI investment, billions of dollars in AI bills, and now deploying themselves with the open source GLM 5.2 can immediately save the high AI bills, and Claude's revenue side may be greatly affected. The gap between the top AI of China and the United States is about half a year, on the other hand, it also shows that the moat of the big model is not so deep, the gap in half a year is not insurmountable, the Anthropic trillion valuation is obviously quite empty. When Claude was at its most brilliant at the beginning of the year, some people would always say how awesome Claude was and how fast the iteration speed was. I went to see that the iteration speed of zcode was basically one change every day. This time zcode3.0 GLM5.2 was really not much different from codex. There is also a reason why China has been unable to catch up, mainly because of the limitation of computing resources. If the limitation of computing power is released, it may have already been opened at 4:6. Poor intellectual spectrum computing power has been insufficient, it is difficult to imagine if there is sufficient computing power and the model is closed source, it is difficult to imagine how high the income will be.