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Three education leaders from Nanjing International School share their views on AI. AI is reshaping today's education and future careers. It offers new possibilities for all students and educators. We learn to use AI intentionally to improve learning outcomes. Technology exists to support us, not the other way around. @NISChina

Ron Baron believes @SpaceX will become the largest, most profitable company on the planet. “We think it’s going to be worth $10T, $20T, or $30T. People in the company believe I’m lowballing it.” I don’t see it any other way myself. Nobody else is doing what SpaceX is doing.

The European Union has a new law called the Digital Markets Act that makes big tech companies show users a clear choice of web browsers on their phones. Since the law started in 2024 more than 6 million people have picked Firefox as their main browser through these choice screens which is about one new user every 10 seconds. People who choose Firefox this way really like it and keep using it five times more than people who find Firefox in other ways. A study from top researchers shows the same thing because in the EU Firefox users on iPhones jumped 113% because of the law while on Android phones the increase was 12% with the biggest change on Apple phones where Safari used to be the only easy choice.

Crimson Desert maker Pearl Abyss is looking into DLC and other ways to grow the open-world action game. “Crimson Desert will continue to focus on enhancing user satisfaction and driving new sales through continuous updates while expanding its market presence through platform expansion. In addition, we are currently exploring various ways to broaden the game to the next level, including DLC, and we will share the details once the concrete plans are set.” This is a change from what they said in March 2026, when CEO Heo Jin-young said there were no plans yet for paid DLC and the focus was on free updates to sell more copies of the main game. This comes after the game had a strong launch that helped Pearl Abyss earn a record 180 million dollars in one quarter

1/🧭 Everyone's been tuning prompts. We tuned the language. For two years the field bent LLMs to fit existing tools. We went the other way — rewrote the syntax so LLMs stop tripping over it.👇

LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So: Data ingest: I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them. IDE: I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides). Q&A: Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale. Output: Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base. Linting: I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into. Extra tools: I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries. Further explorations: As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows. TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

One of the ways I use social media is to put out a “principle of the day” so that we can have a conversation about it. It’s usually about life, or work, or current events. Lots of people send in questions about it each day, and I wish I could answer all of them. But now, with my AI Twin “Digital Ray,” I have my own version of that. Let me give you an example of what I mean. Today’s Principle of the Day is: Pain + Reflection = Progress There is no avoiding pain, especially if you're going after ambitious goals. Believe it or not, you are lucky to feel that kind of pain if you approach it correctly, because it is a signal that you need to find solutions so you can progress. If you can develop a reflexive reaction to psychic pain that causes you to reflect on it rather than avoid it, it will lead to your rapid learning/evolving. After seeing how much more effective it is to face the painful realities that are caused by your problems, mistakes, and weaknesses, I believe you won't want to operate any other way. It's just a matter of getting in the habit of doing it. Now, you can use my Digital Ray Beta to ask more in-depth questions. Like “How do I properly reflect on my mistakes to learn?” If you’re interested, you can now access it immediately via this link below in the comments, and if you find the interaction meaningful, I hope you’ll choose to ask it more questions and let me know how it goes.

Many people seem shocked by what’s happening, most recently in the Minneapolis and Greenland conflicts, though also in many other ways over the last year. In my opinion, that’s because they don’t understand what’s going on with the breakdown of the post-World War II monetary, domestic political, and international political orders. This is happening in classic Big Cycle ways that have repeated throughout history and were laid out in detail in my book, Principles for Dealing With the Changing World Order, which I wrote about five years ago. In that book, I described how the Big Cycle unfolds in stages with clear characteristics, and I outlined the cause-and-effect relationships one can follow to identify where we are in the Big Cycle and what is likely to happen next. With that perspective, it is clear to me that we are in Stage 5 (the pre-breakdown of the orders period) and on the brink of Stage 6 (the breaking down of the old orders). In my latest article, I review the developments that characterize Stages 5 and 6 and relate them to what is happening. As always, I'd love to hear your thoughts.

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

It's hard to have an objective, open-minded, emotion-free conversation about performance if there is no data to discuss. It's also hard to track progress. This is part of the reason I created the Dot Collector. I also recommend thinking about other ways that people's responsibilities can be put in metrics. One example: You can have people note whether they did or didn't do things on checklists, which you can then use to calculate what percentage of tasks they complete. Metrics tell us whether things are going according to plan--they are an objective means of assessment and they improve people's productivity. #principleoftheday#