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Chronicles
Animated founder and academic chronicle pages built with an open-source template, covering researchers and founders in geoscience, AI, and security.
CV - Koutian Wu | AI4Geoscience PhD Student at UT Austin
Comprehensive CV of Koutian Wu, AI4Geoscience PhD student specializing in explainable AI for land surface modeling, with experience in Python, MATLAB, HPC, and Earth system science research.
Posts
New Paper Published: On the Ethics of Generative GeoAI: Explainability, Bias, Hallucination, Accountability, Privacy, and Trust
Published:
I am deeply honored to join my colleagues in contributing to the newly published paper, “On the Ethics of Generative GeoAI: Explainability, Bias, Hallucination, Accountability, Privacy, and Trust,” specifically focusing on the section regarding GeoAI Trust (Section 8).
新论文发表：On the Ethics of Generative GeoAI: Explainability, Bias, Hallucination, Accountability, Privacy, and Trust
Published:
我非常荣幸能够参与到这篇新发表的论文 《On the Ethics of Generative GeoAI: Explainability, Bias, Hallucination, Accountability, Privacy, and Trust》 的合作中，并作为共同作者之一，贡献了关于 GeoAI信任（GeoAI Trust） 的章节（第八章）。
The Future World: AI Assistants, Collaboration, and the End of UI Friction
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In the future world, everyone will have their own AI agent assistant.
未来的世界：AI助手、大协作与前端摩擦的终结
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在未来的世界，每个人都会有自己的 AI agent 助理。
AI 时代的人类心智入口，到底会被装在什么硬件里
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抢占 AI 时代的人类心智入口，说到底是一场关于 token 吞吐权力的隐秘战争。
People Who Rolled Sixes Six Times in a Row Are Sharing Their Dice-Rolling Strategies
Published:
I’ve been watching too many people who got lucky rolling a six six times in a row, standing on stage lecturing us about their dice-rolling strategies.
Author: Koutian Wu; GitHub: ktwu01
连续掷出六次六点的人，在台上分享掷色子经验
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这两天看了太多因为连续六次掷出色子六点而功成名就的人，在台上滔滔不绝地分享他们的掷色子心得。
Stock Trading 101, A No-Nonsense Guide to Picking Your First Brokerage
Published:
A junior colleague asked me recently if there is a magical brokerage that does it all, from stock trading to high-yield savings, which reminded me of my own naive expectations when I first started investing.
Author: Koutian Wu; GitHub: ktwu01
炒股101，新手券商评测与账户搭建指南
Published:
这两天有一位好兄弟跑来问我，有没有哪家券商能把炒股、理财和银行存款全包了。
What Microsoft Flight Simulator Really Shows About Earth-Scale Digital Twins
Published:
I spent the last couple of days checking a tempting claim: that Microsoft Flight Simulator is secretly the foundation for a broader Earth digital twin story.
微软模拟飞行到底说明了什么：关于地球级数字孪生的事实核查
Published:
这两天我在核查一个很容易写得很爽、但也很容易写过头的说法：微软模拟飞行（Microsoft Flight Simulator）是不是某种更大地球数字孪生叙事背后的秘密技术底座。
Anthropic 最狠的方法论，是先把最差版本发出去
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Anthropic 最狠的地方，不是每次都把产品打磨到完美才发布，而是敢先把一个 research preview 扔出来，然后当着所有人的面快速变强。
把人扫地出门，再把博士学位塞回去：荣誉博士制度的横纵分析
Published:
大学最擅长的表演，莫过于在一个人不再需要勋章时，隆重地为他披上一件绣着「博士」二字的学位袍。
How Rich Is Chen Ning Yang? His wealth and the science of scientific privilege
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A 1957 Nobel prize cheque, a father who was the first Chinese PhD in number theory, three different monetary regimes, and seventy years of compounding, so how do you put a number on Chen Ning Yang’s family wealth in 2026 without making it up?
杨振宁先生到底有多少财富？
Published:
一张 1957 年的诺贝尔奖支票，一个中国第一位数论博士的父亲，三套不同的货币制度，加上七十年的复利，我们到底要怎么给杨振宁家族 2026 年的财富估出一个不是瞎编的数字？
The Missing Scientists, Why 600 Years of Status Quo Is the Real Bottleneck in Science
Published:
A new paper looked at 739 science Nobel laureates from 1901 to 2023, and the headline number that came out is brutal, at the current rate of progress it would take roughly 600 years before a kid born into a poor country has the same shot at a Nobel as a kid born into a rich one.
消失的科学家，为什么 600 年才追得上才是科学真正的瓶颈
Published:
一篇新论文把 1901 到 2023 年所有 739 位科学类诺贝尔奖得主从童年扒到现在，得出了一个特别狠的数字，按目前的进步速度，一个出生在低收入国家的孩子要等大约 600 年，才能拿到和富裕国家孩子一样的诺奖机会。
为什么 Anthropic 不给你办 PERM，以及你现在能做什么
Published:
你投了 Anthropic，拿到了 offer，然后去问 HR 能不能帮你办 PERM，对方说「目前暂停」或者直接转移话题，你当时大概就愣在原地了。
Skin in the Game: Curing Co-founder Apathy Through Subtraction
Published:
The most dangerous dynamic in an early-stage startup is not conflict. It is the peace that comes from never actually committing to anything.
Prompt Caching Is Not Technical Debt
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Prompt Caching Is Not Technical Debt. It’s what the math demands.
Prompt Caching 不是技术债
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很多人把 prompt caching 看成一个省钱 hack，但我觉得这个判断刚好反了。
在硅谷校友会聊 Claude Code，真正重要的是它怎么改变工作
Published:
今天在硅谷校友会的「师问」AI 交流活动上，我想讲的不是 Claude Code 多酷，而是它到底怎么把真实工作重新拆开。
My PhD Advisor Built a Land Surface Model That Forecasted Hurricane Harvey
Published:
When you join a lab, you do not just get a research direction. You inherit a 30-year codebase that is currently running inside the U.S. National Water Model and was on the critical path forecasting Hurricane Harvey. That is what working with Zong-Liang Yang at the Jackson School of Geosciences actually looks like.
Sean Xiang Has Been Building Bloombase for 14 Years, and the AI Era Finally Caught Up to It
Published:
Most enterprise security companies show up, ride one trend, and disappear in the next infrastructure cycle. Sean Xiang has been building Bloombase since January 2012, and the company has somehow been on the right side of every major infrastructure shift since, including the current AI accelerator era. That is not luck. That is a thesis.
Marc Hesse Does the Fluid Mechanics of Everything From Magma to Mars
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You can study fluid mechanics in five different countries before you turn 30, work on petroleum reservoirs and tectonophysics and planetary ice on the same week, and somehow end up at a Centennial Chair in Geophysics. Marc Hesse did exactly that, and the through-line is more interesting than any of the individual stops.
Kehan Dong Works With People Who Started Building Earlier Than They Were Supposed To
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Most VCs and accelerators talk about supporting founders. Kehan Dong specifically supports the kind of founder who started building at 16, when nobody told them they were allowed to, and it turns out that population is dramatically underserved.
Juan Santiago Built One of the Top Microfluidics Labs in the World by Staying Put for 30 Years
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In a field where everyone gets pulled toward the next hot thing, Juan Santiago joined Stanford Mechanical Engineering in 1998 and has been there ever since, building one of the most consequential microfluidics labs on the planet. Long-term focus is its own competitive advantage.
Gengchen Mai Is Building Spatial Foundation Models, and Geographers Should Pay Attention
Published:
The same way text foundation models ate NLP and image models ate computer vision, someone is going to build the foundation model that eats spatial reasoning. Gengchen Mai is one of the people taking that bet seriously, and his SEAI Lab at UT Austin is one of the places it is being built.
Gemini Says My Ego Essay Is Still a Humblebrag
Published:
Earlier today I published a piece called “Four Ego Mistakes I Made as a 22-Year-Old Founder.” Then I ran it through Gemini 2.5 Pro as an independent reviewer. Gemini’s verdict was that the essay is itself an ego move. I think Gemini is mostly right.
Gemini 说我那篇 ego 文还是凡尔赛
Published:
今天早些时候我发了一篇叫《22 岁 founder 的四个 ego 错误》。然后我把这篇喂给了 Gemini 2.5 Pro 当独立审稿人。Gemini 的判决是：这篇文章本身就是一个 ego 动作。我觉得 Gemini 大体是对的。
Geeta Persad Came Back to Austin to Build a Climate Group That Actually Talks to Policy
Published:
Most academic climate scientists will tell you they care about policy and then publish a paper that no policymaker is ever going to read. Geeta Persad spent four years working at the Union of Concerned Scientists translating climate models for water managers, and she came back to academia knowing exactly what the gap looks like.
Four Ego Mistakes I Made as a 22-Year-Old Founder
Published:
Ego does not show up as arrogance. It shows up as a set of fake scoreboards you secretly keep, and the moment you confuse the scoreboard with the actual game, you start losing.
22 岁 founder 的四个 ego 错误
Published:
Ego 不是以”嚣张”的形式出现的。它是以一组你偷偷在心里给自己记的假记分牌的形式出现的，你一旦把记分牌当成了真比赛，你就开始输了。
Eric Greene Built a Way to Watch Single Molecules of DNA Repair Themselves
Published:
Most of biology is averages. You measure a million cells, you get a mean. Eric Greene’s lab figured out how to actually watch one DNA molecule at a time, repair itself, in real time, and that changes what kind of questions biology can ask.
Trees Drink From Rock, and Daniella Rempe Proved It
Published:
If you ask most people where trees in California get their water in a drought, they will say “the soil.” It turns out a huge fraction of it comes from cracks in the bedrock underneath the soil, and Daniella Rempe is the person who put numbers on it.
I Spent a Week Building a Chronicle for Chen Ning Yang, and the Family Tree Was the Story
Published:
Most physics undergraduates know Chen Ning Yang as a Nobel laureate and the Y in Yang-Mills. Building him a chronicle made me see something the textbooks gloss over: the most consequential single fact about his life is who his father was, and what that father had set up for him before he was born.
Ashley Matheny Treats Trees as Pumps, and That Changes the Whole Model
Published:
Most land surface models treat a tree like a passive straw. Water comes in at the roots, water leaves at the leaves, end of story. Ashley Matheny’s research basically says no, a tree is an active hydraulic system with storage, capacitance, and a strategy, and if you do not model it that way you are going to be wrong about drought.
Zero to a Billion in Ten Years Sounds Normal, Until You Realize It Means Doubling Every Year
Published:
People love saying that ten years to a billion-dollar valuation is the normal pace for a unicorn, neither fast nor slow. But once you actually crunch the compound numbers, you realize what hides behind that word “normal” is a beast that doubles in value every single year.
十年从零到十亿美金，这种「正常」速度其实是每年翻一倍
Published:
很多人会说，十年估值十个亿美金，就是一只正常的独角兽，不慢也不快。但你真去算一下复利就会发现，这「正常」二字背后藏着一个每年估值翻一倍的怪兽。
Five Orders of Magnitude on Purpose, Why Text AI and Embodied AI Are Not Playing the Same Data Game
Published:
Call it a (10^5) gap if you like, once you put semantic entropy and effective training samples on the board, the difference between internet-scale text and embodied robotics data stops sounding like rhetorical inflation and starts sounding almost conservative. You just have to separate raw physics bits from semantics a learner can actually use.
五个数量级，「十万倍」可能还是保守的，第一性原理拆开看一眼文字 AI 与具身 AI 的数据鸿沟
Published:
「十万倍」这个说法乍听像聊天里随手甩出去的量级，但如果把它放回语义信息熵和有效训练样本这两把尺子下面，它非但不夸张，反而可能是保守的。关键是你得把「原始物理比特」和「带语义的、可被学习的数据」分开看。
Who Hoards Multimodal Data for Real, Meta, ByteDance, X, and the Visa Plot Twist
Published:
Ask which campus actually sits on the best multimodal feedstock for GPT-4V-class perception, Sora-class video, Gemini-scale bundles, and Meta Emu-style image stacks, and the short answer is almost vulgar in how cleanly it splits three big piles. Meta still pulls ahead by a chasm on stills, ByteDance owns the high-velocity short-video river that is really motion plus audio, and X ships the smallest absolute media volume yet the weirdest leverage on tight text-image coupling and live-event semantics.
「图片地主」对「视频钥匙」对「实时百科」，多模态家底Meta、ByteDance和X怎么分
Published:
这题问到刀尖上了。如果把「高质量多模态训练数据」收窄到对 GPT-4V、Sora、Gemini、Emu 这类模型真有喂饭价值的图文或视频，短答其实很锋利，Meta（Facebook / Instagram）静态图片数量的库存对其他两家几乎是断层第一，ByteDance（TikTok / 抖音）在短视频也就是动态图片流上占最大优势，X（Twitter）绝对量级最小，但图文的贴脸相关性和实时信息密度是独一份。
The Physics Professor Who Won’t Touch AI, and the Student Who Can’t Stop
Published:
Top physics researchers aren’t blind to what AI is doing in the application layer. They’re locked by their own evaluation system and can’t afford to look.
用 AI 的物理学生和拒绝 AI 的物理教授，就像教员和王明博古的区别
Published:
顶尖的 physics 老年研究者并非看不见应用层的繁荣，而是被自己的评价体系与资源锁定。
Think First, Code Later with AI
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In an era where AI can write code in seconds, I just learned the hard way that blindly moving fast is actually slowing me down.
谋定而后动，不要让 AI 一股脑地写代码
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在这个闭着眼睛就能让 AI 写代码的时代，我今天结结实实地挨了一锤。
Earth System Model Skill Packages: Deep Knowledge Bundles for Noah-MP, CLM, CAM, MOM6, WRF, E3SM, and More
Published:
Earth system models are some of the most complex scientific software ever written, and they are also some of the worst-documented for newcomers. I have been building a series of “skill packages” — structured, progressive-disclosure knowledge bundles — for the major Earth system and land surface models, designed to be used by both new graduate students and AI coding agents.
One Repo to Rule Them All, Why GitHub Is the Only Honest Place to Align a Team
Published:
A team has too many things, too many open questions, too many half-decisions floating across Slack threads and meeting notes, and the only way I have found to keep that chaos from turning into quiet decay is to force every piece of valuable knowledge into one place, the GitHub repo, and treat everywhere else as a temporary scratchpad.
团队里只能有一个「最精华、最宝贵」的地方，那就是 GitHub Repo
Published:
团队里事情太多、问题太多、半截决定散在 Slack 串和会议纪要里飘来飘去，我自己反复试下来，唯一能阻止这种混乱慢慢腐烂的办法，就是把所有真正值钱的知识强行收进同一个地方，那就是 GitHub Repo，其它任何地方都只能当临时草稿纸。
ESM-bench, Testing Whether AI Agents Understand Earth System Model Physics
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The scary part is not that AI agents fail on Earth system model code, but that they can fail while looking almost right.
ESM-bench：测试AI智能体是否理解地球系统模型的物理学
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最可怕的部分不在于 AI 智能体在处理地球系统模型代码时失败了，而是它们可能在看似正确的代码中失败。
分享科研绝活，成为 Nature 合著者
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只要你贡献一点科研绝活，就能成为 Nature 文章的合著者。
We Are Building an Alexandria Library for the AGI Era, and We Aim for Nature
Published:
Just by running a single command while using AI for research, you can turn your tacit knowledge into a Nature co-authorship.
Author: Koutian Wu; GitHub: ktwu01
我们在倒腾一个AI时代的亚历山大图书馆，顺便想冲一下Nature
Published:
只要你在用AI辅助科研，敲一行命令就能把你脑子里的「隐性经验」变成能发Nature的资本。
中美女性友好职业全景对比
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帮女朋友做职业规划的时候，我生成了这份报告。一边看一边觉得，挺魔幻的。
适合中国女性的「不看人脸色」工作：横纵分析
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帮女朋友做职业规划的时候，我生成了这份报告。一边看一边觉得，挺魔幻的。
中美女性友好型工作：不陪酒、不看脸色的职业选择
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帮女朋友做职业规划的时候，我生成了这份报告。一边看一边觉得，挺魔幻的。
In Conversation with Chenxi Hu
Published:
THIS IS A FAKE BLOG. The content below is fabricated and should not be cited or treated as a real interview or factual record.
AI PhD Survival Guide: How to Finish a PhD in the Age of LLMs
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A PhD is hard. A PhD in 2026 — with the field moving faster than your committee can read — is a different kind of hard. AI PhD Survival Guide is a handbook for surviving and finishing an AI or ML PhD without burning out and without falling behind.
为什么美国菜缺乏鲜味？
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虽然“鲜”（Umami）在江浙菜和广府菜中是不可撼动的灵魂，但在传统美国菜里，你往往只能在单一的咸、甜、油之间徘徊，而难觅那种富有层次感的味觉深度。这并非偶然，而是一场关于食材处理、调味逻辑与工业化生产方式的深层文化差异所导致的必然结果。
Standing at the Alamo: A Sacred Ground of Texas History
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The silence surrounding the Alamo chapel in San Antonio belies the brutal, thirteen-day siege that transformed this former Spanish mission into the ultimate symbol of Texan independence. Standing before its weathered facade today, one can almost hear the echoes of a conflict that remains one of the most legendary chapters in American history.
站在阿拉莫：德克萨斯历史的圣地
Published:
今天我站在了圣安东尼奥的阿拉莫教堂前。这座看似宁静的建筑，却承载着德克萨斯乃至美国历史上最惨烈、最具传奇色彩的一页。
When Climate Data Comes Alive: A Day at TACC
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The roar of cooling systems in the Texas Advanced Computing Center (TACC) isn’t just noise—it’s the power of supercomputers translating the overwhelming dimensionality of climate data into something students can finally see and understand.
hao-tokens: A Practical Guide to Free and Cheap LLM API Tokens
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Every indie developer who has ever burned through a free API tier knows the feeling: you build something cool, and then your OPENAI_API_KEY runs out at the worst possible moment. hao-tokens is a curated list of the legitimate ways to get free or low-cost LLM tokens so you can keep building.
Virtual Cell Neuromorphic Gene Language Models: A VC Intern’s Field Guide
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Virtual cell models powered by neuromorphic computing and gene language models represent one of the most capital-intensive and scientifically ambitious convergences in biotech AI. If you’re evaluating this space as a VC intern, you need to understand three core components: what these systems actually do, why the market is moving now, and where the investable opportunities lie.
虚拟细胞神经形态基因语言模型：VC 实习生的领域指南
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由神经形态计算和基因语言模型驱动的虚拟细胞模型，代表了生物技术 AI 领域中资本最密集、科学最雄心勃勃的融合方向之一。如果你正在以 VC 实习生的身份评估这个领域，你需要理解三个核心组成部分：这些系统实际上做什么、为什么市场现在开始行动，以及可投资的机会在哪里。
What Happens When You Just Give People Money? Sam Altman’s UBI Experiment
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What Happens When You Just Give People Money? Sam Altman’s UBI Experiment
直接发钱会怎样？奥特曼的全民基本收入实验
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直接发钱会怎样？奥特曼的全民基本收入实验
The Arrow of Time: How Timestamps Give AI Agents a Soul
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Why AI agents lack temporal awareness, and how injecting timestamps transforms them from stateless automata into coherent entities.
时间之箭：时间戳如何赋予AI Agent灵魂
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为什么AI Agent缺乏时间意识，以及注入时间戳如何将它们从无状态自动机转变为连贯的实体。
Moat Plus Momentum: Why AI Makes Preparation Optional
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Research, stock trading, and startups all share a common pattern: success comes from combining a defensible core competency with the ability to ride trending waves. You don’t need exhaustive preparation anymore. You need methodology and the ability to produce content when it matters. When the right moment arrives, you strike.
护城河加热点：为什么 AI 让准备变得可选
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科研、股市还有创业，这些所有需要展示并能得到结果的东西，本质上都是”主业/具有护城河的本行加上热点”。所以需要做好准备,或者说不一定非要进行那种极其周全的准备，只要掌握一些方法论就可以。利用 AI 在关键时刻能够产出内容，一旦关键热点到来，马上就可以抓住。
High-Dimensional Manifolds and the Rationality of Next Token Prediction
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Why next token prediction isn’t just “stochastic parroting”—it’s solving geodesics on the manifold of human knowledge.
高维流形与Next Token Prediction的合理性
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为什么Next Token Prediction不只是”随机鹦鹉”——它在求解人类知识流形上的测地线。
The Gibbs Phenomenon in LLMs: Why Hallucination is Mathematical Destiny
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When continuous functions meet discontinuous truth: Understanding LLM hallucinations through the lens of Fourier analysis.
LLM的吉布斯现象：为什么幻觉是数学宿命
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当连续函数遇上离散真理：从傅里叶分析的视角理解LLM幻觉。
The Gibbs Phenomenon: Why LLM Hallucinations Are Mathematically Inevitable
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When Large Language Models (LLMs) hallucinate, we often treat it as an engineering bug to be fixed. But what if hallucinations are not a flaw, but a mathematical inevitability? A recent interdisciplinary discussion revealed a profound connection between the Gibbs phenomenon in Fourier analysis and the fundamental limitations of neural networks.
吉布斯现象：为什么大模型幻觉在数学上不可避免
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当大语言模型（LLM）产生幻觉时，我们通常将其视为需要修复的工程缺陷。但如果幻觉不是缺陷，而是数学上的必然结果呢？最近一场跨学科讨论揭示了傅里叶分析中的吉布斯现象与神经网络根本局限性之间的深刻联系。
Epistemological Interferometry: The Deep Isomorphism Between Black Hole Imaging and LLM Training
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How photographing a black hole and training GPT-4 are fundamentally the same process: extracting coherent structure from impossibly sparse frequency-domain measurements.
认识论干涉测量：黑洞成像与LLM训练的深层同构性
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拍摄黑洞照片和训练GPT-4在根本上是同一个过程：从极度稀疏的频域测量中提取相干结构。
The Entropy Paradox: Why AI Struggles with Scientific Discovery
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The promise of AI-automated science is intoxicating: imagine machines that can generate hypotheses, design experiments, and publish papers while we sleep.
熵悖论：为什么AI难以实现科学发现
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AI 自动化科研的愿景令人陶醉：想象机器能在我们睡觉时生成假设、设计实验、发表论文。然而，尽管关于“AI 科学家”的新闻铺天盖地，我们正在撞上一堵根本性的墙。问题不在于算力或数据集规模，而是某种更深刻的东西，根植于科学发现的本质和信息论之中。
When Team Alignment Breaks: A 2 AM Wake-Up Call
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It’s 2 AM. I’m running on zero sleep, heart racing from exhaustion, supposed to be resting for my qualifying exams tomorrow. Instead, I’m scrambling to finish a pitch application that I thought was being handled by someone else.
Why I’m Building Tacit AI
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Why I’m Building Tacit AI
统计学上如何寻找Outlier
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在统计学中，寻找离群值（Outlier）的方法取决于数据的维度、分布特征以及你对“异常”的容忍程度。以下是几种最常用且标准的方法：
AI 时代，PhD 应该按风投模式培养
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建立在 19 世纪学徒制模型上的博士培养体系，几乎在所有关键经验指标上都已经出现了系统性失灵。
PhD如何自我设计KPI：从“感觉努力”到“系统产出”
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读博不能仅凭“感觉努力”和“自我感动”。我们需要将日常的文献阅读、实验设计、数据分析和论文写作，升级为一套可量化、可复盘、可持续优化的个人科研系统。重点不在于自我压榨，而在于验证自己的科研效率是否真实存在，避免宝贵的博士时间被低效消耗。
婚恋和资源共享市场，到底该用传统搜广推还是 AI 推荐算法？
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我和朋友最近在讨论这个问题。朋友说想拿 AI 来做婚恋市场的匹配，我觉得在样本量小的情况下，这完全可行——甚至根本不需要搭任何搜广推系统。你直接问大语言模型，把几个用户的简历丢进去，让它排序就好了，整个过程非常简单。
A Fun Coincidence: The Time It Takes to Finish a PhD Is Exactly How Long It Took OpenAI to Change the World
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In the fall of 2015, two things happened simultaneously.
一个有趣的巧合：读完博士的时间，刚好够 OpenAI 改变世界
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2015 年秋天，有两件事同时发生了。
为什么大模型厂商还在亏钱，却还要拼命推 Agent 产品
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真正值得警惕的信号不是 AI 公司增长太慢，而是它们增长得很快，现金流压力却仍在放大。
OpenClaw：把命令行世界接成你的第二大脑
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用不用 OpenClaw？这是个问题
如何避免平平无奇的人生
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最近写了一篇《22岁，我死过三次》，再回想自己之前在高中写回忆录的思路，以及一些人的评论。读着读着突然愣住。原来我们对“不平凡”的理解，可能从一开始就错了。
Do Big Tech Engineers Actually Need OpenClaw?
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Should Silicon Valley engineers use OpenClaw?
硅谷大厂人究竟需不需要用 OpenClaw？
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硅谷大厂的工程师究竟需不需要用 OpenClaw？
校友真实档案：从作家梦到AI创业者的三次死亡与重生
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欢迎加入”校友真实档案”。这里记录的不是成功经验，而是人在关键节点如何做选择。我们希望通过这些真实路径的分享，为在校学生呈现人生的多样性。
AI Survival Guide: How to Stay Useful as a Knowledge Worker in the Age of LLMs
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Every knowledge worker is now competing with an LLM for some part of their job. AI Survival Guide is a handbook for figuring out which parts, what to do about it, and how to come out the other side better at your craft instead of replaced by it.
I published a preprint on Zenodo: Research grounding for a bilateral venture capital model of PhD programs
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A PhD system built on a 19th-century apprenticeship model is failing by nearly every empirical measure — ~40–50% attrition, depression rates six times the general population, and tenure-track placement below 15% in many fields — while venture capital has spent four decades perfecting bilateral contracts that manage exactly the risks PhD programs ignore: information asymmetry, moral hazard, hold-up, and misaligned incentives. The literature across economics, education policy, signaling theory, and AI research converges on a striking conclusion: the structural tools to fix the PhD already exist in VC contract design, but academia has never imported them. This research compendium maps the evidentiary landscape across six domains to ground the argument.
从协作到自治 人x人、人xAgent与Agent2Agent演进中的商业图谱与范式迁移
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如果你最近在看AI赛道的商业图谱，你一定会被那个从「人机协作」向「多智能体自治」疯狂演进的趋势给震撼到。
当 Vibe Coding 的 VC 取代了 Venture Capital 的 VC
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大模型厂商用造火箭的成本，培养出了一群只想买两块钱鞭炮听个响的极客。
Startup Probability: If You Begin at 16, Failing 10 Times in a Row Is Unlikely
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Startup is better understood as a probability game than as a one-time exam.
创业概率论：如果你从 16 岁开始，连续失败 10 次的概率并不高
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创业更适合被理解为一个概率游戏，而不是一次性考试。
2055, Brain-to-Brain Conversation, and the Future That Still Feels Warm
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Sometimes a piece of old science fiction stays in your head not because of the gadgets, but because it got the emotional structure of the future right.
《2055》、脑内对话，以及那个依然温热的未来
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有些旧科幻会一直留在脑子里，不只是因为它写了什么炫酷科技，而是因为它提前抓住了未来的情感结构。
Every Generation Has Its Own To-Do List
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Every generation has its own way of managing work: paper notebooks, SaaS task managers, and now programmable agentic workflows powered by tools like OpenClaw heartbeat.
每一代人，都有每一代人的 To-Do List
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每一代人都有自己管理任务的方式：最早是纸和笔，后来是 SaaS 任务管理工具，现在则开始进入像 OpenClaw heartbeat 这样可程序化、可持续运行的 agentic workflow 时代。
At 22, I’ve Died Three Times
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Three deaths completed my self-upgrade. The first death—from aspiring writer to science student—was an educational elevation. The second—from scientist to venture researcher—was a cognitive leap. Through this process, I completed a third death: I’m no longer the stereotypical science student or entrepreneur, but an entrepreneur and investor with a writer’s spirit.
22岁，我死过三次
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三次死亡让我完成了自我升级。第一次从作家死亡成为理科生，是一次教育提高；第二次从科学家死亡成为创投研究者，是认知的升华。在这个过程中，我又完成了第三次死亡：我不再是刻板印象中的理科生或创业者，而是兼具作家精神的创业者和投资者。
GitHub PRs as Inbound Marketing for Technical People
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For technical people, a strong pull request on a fast-growing open-source repo can become better inbound marketing than another generic post about AI.
把 GitHub PR 当作技术人的 Inbound Marketing
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对技术人来说，在一个高速增长的开源仓库里做出高质量 PR，往往比再发一篇泛泛而谈的 AI 观点帖更像真正有效的 inbound marketing。
F1 Founder Survival Guide: How Chinese Students on F1 Visas Can Build Companies in the US
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Building a company on an F1 visa is legal, common, and full of traps. F1 Founder Survival Guide is a handbook for Chinese students who want to start companies in the US — written from the perspective that you should always have both an offensive plan and a fallback plan. Read the Guide
How AI Can Accelerate Career Growth — and Why This Matters for AI for Science
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Early-career growth usually comes down to a few repeatable layers: alignment, delivery, visibility, communication, leadership, and trust.
AI 如何加速职业成长——以及这对 AI for Science 为什么更重要
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职业早期的成长，通常可以拆成几个可重复的层次：方向对齐、稳定交付、建立可见度、提升沟通、展现领导力，以及赢得信任。
技术不是壁垒，销售才是
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所以最重要的是推销。有技术并没有什么卵用，只要有人要购买才有用。我觉得所有人都没有 tech 壁垒，这个很容易解决。只要稍微有一点 tech 基础，都能解决。最重要的是，有人来买。不过，也可能是我的技术太高了，我对技术已经无感。
Measuring Work by Energy Consumption
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衡量工作效率，最重要的指标或许不是投入的时间，而是消耗的能源。
硅谷的精神地层：颠覆性创新，创造性背叛，风险和增长的千倍飞轮
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硅谷最可怕的从来不是那些天才的想法，而是它建立了一整套鼓励「创造性背叛」的机制。
The Truth About Silicon Valley Startup Failures: What Happens When You Don’t Make It
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Silicon Valley startup culture celebrates the winners so loudly that we rarely hear what happens to everyone else. The reality is more nuanced than either the success stories or the cautionary tales suggest.
硅谷创业失败的真相：那些没有成功的人后来怎么样了
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硅谷的创业文化把成功者捧得太高，以至于我们很少听到其他人的故事。现实比成功叙事或警示故事都要复杂得多。
颠覆性创新者的思维模式 ｜ 改变世界的这些人，究竟看到了什么？｜丰饶时代的认识论危机
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改变世界的人到底看到了什么是普通人看不到的？
If Jobs Were Building Today, He Would Toss Most multiAgent Products in the Trash
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Lay out every hyped multiAgent product on a table in front of Steve Jobs and he would probably squint, frown, and ask one question, why on earth are you showing the user any of this.
如果乔布斯今天还在做产品，他会一脚把multiAgent踢进垃圾桶
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把现在市面上所有被吹得天花乱坠的multiAgent产品摆在乔布斯面前，他大概率会皱着眉头反问一句，你为什么要让用户看到这些东西。
Clear Plus Airport Experience: Money, Privilege, and Market Regulation
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Exchanging money for time is a privilege I rarely indulge in, but a surprise membership benefit that cleared airport security in ten minutes changed my perspective on friction and market regulation. While a Clear Plus membership normally costs over a hundred dollars annually, obtaining it for free through an Uber membership allowed me to experience a level of efficiency that money can’t always buy—at least not without a well-regulated system behind it.
Clear Plus 体验：金钱、特权与市场调节
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用金钱换取时间是一种我很少尝试的“特权”，但这次在奥斯汀机场仅用十分钟便完成安检的经历，让我对效率与市场调节有了新的思考。这份特权并非我主动购买，而是通过 Uber 年费会员赠送的 Clear Plus 获得的——原本需要每年支付一百多美金的服务，在免除门槛后，带给我一种金钱也未必能随时买到的流畅体验。
What Actually Happens to Failed Founders in San Francisco
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In San Francisco and Silicon Valley, the word “failure” has been quietly redefined. There is not just a playbook for success here, there is an equally mature playbook for failure, complete with safety nets that most outsiders never see.
旧金山创业失败者的故事，到底有没有兜底？
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在旧金山和硅谷，「失败」是被重新定义的。这里不仅有一套完善的成功学，更有一套成熟的失败学和兜底机制。
I Spent a Night Reverse-Engineering Buy Borrow Die With Gemini, and Realized the F-1 Script Looks Nothing Like the Billionaire One
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I spent a whole evening with Gemini taking apart the Buy Borrow Die playbook that American billionaires run, expecting that with a little scaling down I could just copy the moves, and what I found instead was that almost every single move has an F-1 trapdoor underneath it, and the list of things I can actually do fits on one page.
我用 Gemini 拆了一遍富豪的 Buy Borrow Die，结果发现 F-1 学生的剧本完全不一样
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我花了一个晚上跟 Gemini 把美国富豪那套 Buy Borrow Die 的玩法从头扒到尾，本来以为只要照抄就能复刻，结果一层层剥下来才发现，F-1 学生在这个剧本里几乎处处是坑，能用的招其实只有那么三两个。
大规模协作科学的崛起 2026年人工智能与跨学科「巨型作者」项目深度调研报告
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如果你最近经常逛 arxiv，你一定会被那些作者名单长到需要翻页的 AI 论文给震撼到。
A Non-AI Researcher’s Guide: Publishing Top AI Papers Using Your Domain Expertise
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To be totally honest with you, you don’t need to understand the underlying architecture of large language models to get your name on a top-tier AI paper right now, you just need to be a true expert in your own field.
给非AI研究者的发顶会指南：如何用你的专业知识在AI论文中署名
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坦率的讲，你不需要懂任何大模型底层的原理，只要你是一个真的懂行的领域专家，你现在就能在顶级 AI 论文上署名。
被 YC 踢出局后，他们才成为硅谷的英雄。
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五位YC叛逆者：为何被选中，为何被驱逐，又为何凤凰涅槃？
US Survival Guide: A Practical Handbook for Chinese Students and Immigrants in America
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The US is full of small traps that nobody warns you about until after you’ve fallen into one. US Survival Guide is a handbook for Chinese students and immigrants on identifying risk early, knowing your rights, and building a financial defense before you need it. Read the Guide
The Gold/Silver Ratio Pair Trade: Swap Gold for Silver When the Ratio Screams
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When gold gets too expensive relative to silver, you sell your gold and buy silver. When silver catches up, you swap back. This sounds like folk wisdom, but it’s one of the most time-tested strategies in precious metals.
1盎司黄金能换多少白银？金银比 Pair Trade 的底层逻辑
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金涨多了就换成银，银涨多了再换回金，这个听起来像民间偏方的操作，其实是贵金属市场里最经典的增厚策略之一。
When Product Excellence Meets Monetization Disaster: A VC Perspective on Wispr Flow
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Wispr Flow is the best AI product I’ve used this year. But I haven’t paid them a cent. Here’s why that’s both impressive and concerning.
当产品卓越遭遇变现灾难：从VC视角看Wispr Flow
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Wispr Flow 是我今年用过的最好的AI产品。但我一分钱都没付给他们。这既令人印象深刻，又令人担忧。
Atomize: Building a Task-Breaking Agent System Inspired by Goblin Tools
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Yuxuan and I have been discussing AI agent ideas for a while. Yesterday, we finally decided: we’re building Atomize, a task-breaking agent system evolved from Goblin Tools.
Atomize：受 Goblin Tools 启发的任务分解 Agent 系统
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我和 Yuxuan 讨论 AI Agent 的想法已经有一段时间了。昨天，我们终于做出了决定：我们要做 Atomize，一个从 Goblin Tools 演化而来的任务分解 Agent 系统。
能源奇点与智能革命：可控核聚变全景深度研究报告——原理、商业化进程与Sam Altman的战略赌注
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引言：AI 的算力尽头，是能源的终极解法。
Simon Willison’s Newsletter: Deep Dives into LLMs and AI Engineering
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If you’re serious about understanding LLMs and AI engineering, Simon Willison’s Newsletter is one of the best resources out there. With over 38,000 subscribers, it provides detailed analysis on AI, LLMs, web engineering, open source, data science, and Python.
Simon Willison 的 Newsletter：深入解析 LLM 与 AI 工程
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如果你认真想要理解 LLM 和 AI 工程，Simon Willison 的 Newsletter 是最好的资源之一。拥有超过 38,000 名订阅者，它提供关于 AI、LLM、Web 工程、开源、数据科学和 Python 的深度分析。
Vibe Coding IDEs brief comparison
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每一家都有每一家的优点和缺点。Cursor: “extraordinarily productive”; Kiro: “spec-driven”; Antigravity: “agent-first”.
Vibe Coding IDEs: a brief comparison (EN)
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Every product has its own pros and cons. Cursor: “extraordinarily productive”; Kiro: “spec-driven”; Antigravity: “agent-first”.
AI算力尽头的硬核瓶颈 聊聊美国变压器硅钢的独家游戏与投资逻辑
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在金融市场里，我们永远在寻找那种被称为「卡脖子」的咽喉要道。
Legacy USTC Academic Resources — Still Useful
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A collection of USTC academic resources covering career planning, library access, and research tools.
| Warren Buffett: The “Open Source” Leader Half a Century Before GitHub | 巴菲特：比GitHub早了半个世纪的“开源”运动领袖 |
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In an era driven by code, collaboration, and transparency, GitHub has become synonymous with the “open source” spirit. But if we turn our gaze to the world of finance, we find a pioneer of “open source” who predates the birth of GitHub by a full half-century. His name is Warren Buffett.
Neural Galaxy - Your Personalized AI Conversation Visualization
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A hand-controlled 3D visualization of your AI conversation history - fly through ChatGPT conversations and explore artificial intelligence concepts. Try Live Demo
Neural Galaxy - 属于你的 AI 对话可视化宇宙
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一个支持手势控制的 3D 可视化项目，把你的 AI 对话历史变成可以飞行探索的星系。你可以在 ChatGPT 对话之间穿梭，也可以把抽象的人工智能概念变成一个能亲手操作的可视化空间。Try Live Demo
TQQQ ML Trend: Predicting a 3x Leveraged ETF With Machine Learning
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TQQQ is the 3x-leveraged Nasdaq-100 ETF. It is also one of the most asymmetric instruments retail investors touch — the upside is real, the drawdowns are brutal, and the daily-rebalance math means buy-and-hold doesn’t behave the way most people assume. TQQQ ML Trend is an experiment in using machine learning to predict the trend regime, not the price.
Crypto Dashboard: An AI-Powered Real-Time Crypto Analysis Tool
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Most crypto dashboards either drown you in numbers or hide the signal behind a paywall. Crypto Dashboard is my attempt at a clean, AI-augmented view of the market that runs entirely in your browser. Try Live Demo
AlphaEarthHack: A UT Austin Geoscience Hackathon Project on Earth System AI
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AlphaEarthHack is the project our team built for the UT Austin Geoscience Hackathon. The goal: see how far we could push AI on Earth system data inside a single weekend. Try Live Demo
Collaborating with Claude Code to Update My Academic Website
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Today I had an interesting experience collaborating with Claude Code to completely overhaul my personal academic website. As a PhD student in Geological and Earth Sciences at UT Austin, I needed to update my GitHub Pages site with real professional information instead of the placeholder content that had been sitting there.
和 Claude Code 一起更新我的学术网站
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今天我经历了一次挺有意思的合作：和 Claude Code 一起，把我的个人学术网站彻底重做了一遍。作为 UT Austin Geological and Earth Sciences 的博士生，我需要把 GitHub Pages 站点从一堆占位符内容，更新成真正能代表我专业背景的信息。
Tmux Orchestrator - Run AI agents 24/7
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The Tmux Orchestrator enables Claude agents to work autonomously, schedule their own check-ins, and coordinate across multiple projects without human intervention - a project I explored and learned a lot from.
Tmux Orchestrator - 让 AI agents 7×24 小时持续工作
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Tmux Orchestrator 让 Claude agents 能够自主工作、自己安排 check-in，并在多个项目之间协同推进——这是一个我探索过、也从中学到很多的项目。
VerificationSuccess - Email Verification Success Page
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A simple, clean HTML page displaying email verification success message with responsive design and professional styling.
VerificationSuccess - 邮箱验证成功页面
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这是一个简洁干净的 HTML 页面，用于展示邮箱验证成功提示，具备响应式布局和专业风格设计。
AI Billion Career - Career Planning Platform for AI Industry
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A comprehensive tool built with React, Vite, and Supabase to help individuals plan and navigate their careers in the AI industry.
AI Billion Career - 面向 AI 行业的职业规划平台
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这是一个基于 React、Vite 和 Supabase 构建的综合工具，帮助个人规划并导航自己在 AI 行业中的职业发展路径。
komomood - Couple Mood Tracking Heatmap
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An elegant couple mood tracking website with self-hosted backend and SQLite, displaying daily mood records in GitHub contribution graph style.
komomood - 情侣心情追踪热力图
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这是一个优雅的情侣心情记录网站，采用自托管后端和 SQLite，以 GitHub contribution graph 风格展示每日心情记录。
Welcome to My Academic Website
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From the vast datasets of Earth System Models to the specialized niches of high-performance computing, this space documents my journey as a PhD student at UT Austin pushing the boundaries of Geological and Earth Sciences. This website is more than just a portfolio—it’s a hub where data-driven climate science meets the practical challenges of modern research.
欢迎来到我的学术网站
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在 UT Austin 攻读地球科学博士学位的过程中，我始终在试图寻找复杂气候模型与真实世界影响之间的联结。这个学术网站不仅是我研究、论文和项目经历的展示入口，更是我记录如何利用数据驱动的科学方法去理解地球系统演变的思考空间。
ZuoGuoHuaDiao: A Life Calculator That Tells You Whether This Life Was Worth It
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“这b人生过的值不值” — roughly, “was this damn life worth it?” — is a phrase that does a lot of emotional work on the Chinese internet. ZuoGuoHuaDiao (做过划掉) is a small web tool that takes the phrase seriously and tries to answer it with numbers. Try Live Demo
Summer Calculator: How Much Is Your Summer Vacation Actually Worth?
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Most people think of summer vacation as time off. I started wondering whether that framing undersells it. Summer Calculator is a small web tool that estimates the full value of your summer — money, learning, relationships, health — not just the days you didn’t work. Try Live Demo
Meteor Speed Variations - Research Manuscript
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Research manuscript repository for meteor speed variations study published on Journal of Geophysical Research (JGR): Space Physics.
Meteor Speed Variations - 研究论文仓库
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这是一个关于流星速度变化研究的论文仓库，相关稿件已在 Journal of Geophysical Research (JGR)发表。
Geomaps - Scientific Computing and Mapping Tools
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Python and MATLAB tools for creating publication-quality scientific maps and geographic visualizations.
Geomaps - 科学计算与地图绘制工具集
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用 Python 和 MATLAB 创建适合论文发表的科学地图与地理可视化图件。
1AI-polish - AI Academic Writing Polishing System
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An AI writing assistant that polishes academic text using DeepSeek-R1 and detects AI-generated content.
1AI-polish - AI 学术写作润色系统
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学术写作的严谨性不仅在于数据，更在于表达的精准，而 1AI-polish 通过集成 DeepSeek-R1 的推理能力，为研究者提供了一套集文本润色与 AI 检测于一体的深度协作系统，旨在让复杂的科研思想以更专业、更透明的方式呈现。
School Evaluator: Beyond Rankings — A Calculator for the Real Value of a School
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School rankings are a single number standing in for a multi-dimensional decision. School Evaluator is a small web tool that lets you score a school across the dimensions that actually shape your life there. Try Live Demo
Advisor Calculator: How to Tell If Your Future PhD Advisor Is a Trap
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The single biggest predictor of whether your PhD will be productive, miserable, or both is your advisor. Advisor Calculator is a small tool that helps prospective graduate students score a potential advisor across the dimensions that actually matter. Try Live Demo
Cultural Bridge - Cross-Cultural Communication Platform
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A web-based platform for facilitating cross-cultural communication and understanding.
Cultural Bridge - 跨文化交流平台
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一个基于 Web 的平台，用于促进跨文化交流与理解。
No Matter How Advanced Technology Gets, We Still Make Decisions With Our Genes
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The story goes like this: I’ve been pondering a question lately—given how insanely advanced technology is today, why do we still have to spend so much time dressing up and managing our personal image?
科技再发达，我们依然是在用基因做决策
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故事是这样的，我最近一直在寻思一个问题，既然现在的科技都已经发达到这种地步了，为什么我们这帮人，还是得天天花心思去收拾自己的形象？
ut01 - UT Austin Student Navigation Hub
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A student-built navigation homepage that consolidates all essential UT Austin links in one place, solving the frustration of navigating deep university website hierarchies. Visit ut01.github.io
ut01 - UT Austin 学生导航中心
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一个由学生亲手打造的导航首页，把 UT Austin 最常用的重要链接整合到一个地方，解决学校官网层级太深、入口分散的烦恼。访问 ut01.github.io
NASA FINESST Resources: A Practical Guide and Link Library for the FINESST Proposal
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NASA’s Future Investigators in NASA Earth and Space Science and Technology (FINESST) is one of the most underused fellowships among US graduate students. Most PhD students have never heard of it, and the ones who have often miss the deadline because the proposal expectations aren’t obvious from the call alone. This repo is a curated guide of links, tips, and examples to help you write a competitive FINESST proposal.
komo520 - Koko & Momo Love Universe
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A handcrafted website universe where every webpage, balloon, click, and line of code says “I love you” - designed exclusively for Momo. Visit Live Site
komo520 - Koko 与 Momo 的爱意宇宙
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这是一个手工打造的网站小宇宙：每一个网页、气球、点击和每一行代码都在说“我爱你”——只为 Momo 而设计。访问在线站点
NASA FINESST Resources Guide
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Securing up to $150,000 in research funding over three years can define a graduate career, and NASA’s FINESST program is the primary vehicle for that transformation. This guide distills the complex application process into actionable strategies for Earth and Space Science researchers seeking to join the next generation of Future Investigators.
NASA FINESST 资源申请指南
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每年 5 万美元且连续 3 年的科研资助，让 NASA FINESST 项目成为地球与空间科学博士生必须争取的黄金机会。这份指南旨在将复杂的申请流程拆解为可操作的策略，帮助下一代“未来研究员”（Future Investigators）在激烈的竞争中脱颖而出。
LEAD-UTexas - Land Environment and Atmospheric Dynamics Group
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Dr. Zong-Liang Yang’s Land Environment and Atmospheric Dynamics (LEAD) Group at UT-Austin employs satellite remote sensing, earth system modeling, and high-performance computing to advance understanding of Earth system sciences.
LEAD-UTexas - 德州大学奥斯汀分校陆地环境与大气动力学研究组
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UT Austin 宗良杨博士（Dr. Zong-Liang Yang）领导的陆地环境与大气动力学研究组（LEAD Group）利用卫星遥感、地球系统建模和高性能计算，推动人类对地球系统科学的理解。
portfolio
AI Agent Knowledge Base Evaluation System
Multi-dimensional AI agent evaluation system with data anonymization and LLM-as-a-judge architecture
AI Text Processing System
Full-stack LLM text processing system with polishing, AI detection, and plagiarism reduction features
Meteor Velocity Variations Research
Advanced signal processing and data analysis of meteor radar observations with novel Double-Gaussian fitting algorithm
Explainable AI for Noah-MP Land Surface Modeling
NCAR-funded project implementing AI to improve physics-based land surface models for plant-rock-water interactions
UT01 Navigation Platform
Unified resource platform for UT Austin campus services with 10,700+ visits and cross-device optimization
publications
A Summary Report on the Space Physics Practical Education in 2022
Published in Review of Geophysics and Planetary Physics, 2024
A comprehensive report on space physics practical education initiatives in 2022, documenting educational programs and outcomes in space science education.
Recommended citation: Wu, K.*, Xu, X., Jiang, J., & Shen, A. (2024). "A Summary Report on the Space Physics Practical Education in 2022." Review of Geophysics and Planetary Physics.
Download Paper
Diurnal and seasonal variations of meteor speed and arrival angle observed by Mengcheng meteor radar
Published in JGR: Space Physics, 2024
This study investigates diurnal and seasonal variations of meteor speed and arrival angle using Mengcheng meteor radar observations, providing insights into meteoroid dynamics in the mesosphere and lower thermosphere.
Recommended citation: Wu, K., Yi, W.*, Xue, X.*, Reid, I., & Lu, M. (2024). "Diurnal and seasonal variations of meteor speed and arrival angle observed by Mengcheng meteor radar." JGR: Space Physics.
Download Paper
talks
Perturbations by the 2022 Hunga-Tonga Volcano Eruption in the MLT Region Investigated Using WACCM-X Simulation and Meteor Radar Observations
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This oral presentation discussed the research findings on perturbations caused by the 2022 Hunga-Tonga volcano eruption in the mesosphere and lower thermosphere (MLT) region, combining WACCM-X simulation results with meteor radar observations.
Perturbations by the 2022 Hunga-Tonga Volcano Eruption in the MLT Region Investigated Using the WACCM-X Simulation and Meteor Radar Observations
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Poster presentation at the 2023 AGU Fall Meeting investigating the atmospheric perturbations caused by the 2022 Hunga-Tonga volcano eruption in the mesosphere and lower thermosphere (MLT) region.
Noah-MP land surface model with plant hydraulics scheme (Noah-MP-PHS) Evaluation
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This poster presentation evaluated the Noah-MP land surface model with plant hydraulics scheme (Noah-MP-PHS), presented at the Jackson School of Geosciences Research Symposium at UT Austin.
Noah-MP land surface model with plant hydraulics scheme (Noah-MP-PHS) Evaluation
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This poster presentation evaluated the Noah-MP land surface model with plant hydraulics scheme (Noah-MP-PHS), presented at the Advancing Land Modeling Symposium.
An open-source geospatial AI platform based on the AlphaEarth Foundation Model
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This oral presentation showcased an open-source geospatial AI platform built on the AlphaEarth Foundation Model, winning 2nd place in the Geoscience Hackathon ‘25.
teaching
Earth in 2100 (GEO 303E)
Graduate Teaching Assistant, University of Texas at Austin, Jackson School of Geosciences, 2024
Graduate Teaching Assistant for Earth in 2100 (GEO 303E), a course examining Earth system changes and climate projections for the year 2100.