Koutian Wu

Koutian Wu

AI4Sci PhD @ UT-Austin. ex-Undergrad @ USTC.

Blog posts

2026

Luck Sourcing: The Sourcing of Getting Lucky

2 minute read

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A long time ago, I came across a book called Chase, Chance, and Creativity: The Lucky Art of Novelty（《追逐、机遇和创造力：新奇的幸运艺术》）. I no longer remember everything in it, but its central idea stayed somewhere in the back of my mind: luck and creativity are not entirely random. Chance may arrive unexpectedly, but we can still choose how often we encounter it and whether we are ready to recognize it.

Luck Sourcing：主动寻找好运

less than 1 minute read

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很久以前，我偶然看到一本书，叫 Chase, Chance, and Creativity: The Lucky Art of Novelty（《追逐、机遇和创造力：新奇的幸运艺术》）。我已经不记得书里的全部内容了，但它的核心想法一直留在我脑海中的某个角落：运气和创造力并不完全是随机的。机遇也许会意外到来，但我们仍然可以选择自己遇见它的频率，以及当它出现时，我们是否已经准备好认出它。

The GitHub Apps You Installed Months Ago Still Have Full Access. Go Check.

5 minute read

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I was in the middle of setting up a second Cloudflare backup, verifying one dataset and configuring another, when the AI agent helping me flagged something unrelated: while listing what had access to my GitHub account, one authorization stood out as unusually broad. That single flag turned into an hour of reviewing GitHub’s installed-apps list, and it was worth every minute.

你几个月前装的那个 GitHub App，权限可能还全开着，去看看

less than 1 minute read

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我当时正在配置第二份 Cloudflare 备份——核实一份数据、再搭建另一份——帮我干活的 AI Agent 顺手提醒了我一件不相关的事：在列出哪些东西能访问我的 GitHub 账号时，有一项授权的范围明显大得不正常。就是这一句提醒，让我花了一个多小时去仔细过了一遍 GitHub 的已安装应用列表，而这一个小时非常值得。

The Skills I Built for Weaker Models, and Why I Deleted Most of Them

6 minute read

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I ran a health check on my Claude Code setup this week and found 174 custom skills, 124 of which I had never invoked once. They were not failures. Most of them were scaffolding I built for a model that needed it, and then kept long after the model stopped needing it.

我为较弱的模型做了这些 Skills，后来为什么删掉了大部分

less than 1 minute read

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这周，我给自己的 Claude Code 配置做了一次健康检查，发现里面有 174 个自定义 Skill，其中 124 个我一次都没有调用过。它们并不是失败品。大部分只是我为当时需要额外支撑的模型搭起的脚手架，而模型早已不再需要它们，我却一直把它们留到了现在。

LLM 应用机会，不是更聪明的聊天框

less than 1 minute read

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LLM 最有价值的应用，可能不是回答问题，而是把一项专家工作变成可以执行、复核和审计的数字工作单元。

Does “No Stupid Questions” Mean “Ask Anything” or “Do Not Ask Dumb Questions”?

6 minute read

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A widely shared post describes a brainstorming meeting at a robotics startup in Boston. A slide said “No stupid questions.” A Chinese employee interpreted it as “Do not ask stupid questions,” while American colleagues explained it as “Ask freely; no question will be judged stupid.” A related post claims that “Say it again?” is neutral when someone is not heard, whereas “What did you say?” is hostile.

“No stupid questions”到底是“随便问”还是“别问蠢问题”？

1 minute read

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一张流传截图讲了这样一件事：一家波士顿机器人创业公司开头脑风暴会，幻灯片写着 “No stupid questions.” 一位中国员工把它理解为“不要问蠢问题”，美国同事却说它的意思是“什么都可以问，没有问题会被当成蠢问题”。另一组讨论又声称：没听清时说 “Say it again?” 很中性，而 “What did you say?” 很不友好。

我在 YVR“合理地”走错了 NEXUS

1 minute read

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我走错了温哥华机场的 NEXUS 通道；规则上是我的错，设计上却是一条几乎可以预测的错误路径。

Another Side of Vancouver Airport: Age, Workspace, and the People I Saw

6 minute read

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Beyond the wayfinding problem that led me into the wrong NEXUS line, my connection at Vancouver International Airport left me with several observations unrelated to signs. I noticed an older-looking mix of people, a departures area that offered almost nowhere to work, and a visible contrast between people in Vancouver and Texas. This post records those observations. The full account of the NEXUS incident is in How I “Reasonably” Ended Up in the Wrong NEXUS Line at YVR.

温哥华机场的另一面：年龄结构、办公空间与我看到的”人群”

less than 1 minute read

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除了那次走错 NEXUS 通道的导视问题，这次在温哥华机场（YVR）转机还让我观察到几件和路标无关、但同样值得记录的事情：明显偏大的现场年龄结构、几乎不为办公设计的候机空间，以及温哥华与得州人群景观的直观差异。这篇笔记单独记录这些观察；如果你想看我是怎么在 NEXUS 通道走错路的，可以读我在 YVR”合理地”走错了 NEXUS。

Why Did a S$5.50 Purchase Appear as US$4.27?

3 minute read

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A receipt in Singapore showed S$5.50, while a U.S. credit-card account displayed only US$4.27. Another purchase of about S$48 appeared as roughly US$38. A bank-card transit ride also failed to appear immediately as pending.

为什么 S$5.50 的消费在美国信用卡上只显示 US$4.27？

less than 1 minute read

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在新加坡消费时，一张收据写着 S$5.50，但美国信用卡账户只显示 US$4.27。另一笔约 S$48 的消费，则显示为约 US$38。与此同时，刷银行卡乘坐公共交通后，交易也没有立刻出现在 pending 中。

Why alias rm=trash Cannot Stop an AI Agent from rm -rf

5 minute read

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I asked Claude Code a narrow question: can I protect this machine from Codex accidentally deleting files forever, just by aliasing rm to trash? The honest answer turned out to be no, for a reason that is not obvious until you actually test it, and the fix ended up being a five-layer setup rather than a one-liner.

为什么 alias rm=trash 拦不住 AI agent 的 rm -rf

1 minute read

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我问了 Claude Code 一个很具体的问题：能不能只靠把 rm alias 成 trash，来防止 Codex 意外把文件永久删掉。真实的答案是不能，原因不实测根本看不出来，最后落地的也不是一行配置，而是五层防护。

Hard Benchmarks Should Not Become Coding Tricks

10 minute read

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The most dangerous failure mode of an AI science benchmark is not that it is too hard, it is that it quietly becomes either a coding trick or a guessing game.

不要偷偷录客户访谈

1 minute read

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偷偷录一次客户访谈，可能把一个正常的产品研究流程变成隐私和合规事故。

算力是新一代的鸡蛋：当大厂开始”发鸡蛋”

less than 1 minute read

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算力 / token 是新一代的鸡蛋。现在各大厂商都在发算力，就像在发鸡蛋一样。你老了就要去跟别的老奶奶、老大爷抢发鸡蛋——这已经不是一个笑话，可能就是一个现实。

Why Your Brand-New WD Drive Is Read-Only on a Mac (It’s Not the Drive)

4 minute read

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I plugged a Western Digital external drive full of data into a MacBook Air, tried to copy a file onto it, and nothing happened. No error dialog, no progress bar, just a drive that would let me read everything and write nothing. My first instinct was that something was broken, or that I needed to fix permissions. Both were wrong, and chasing the wrong explanation almost led me to permanently downgrade the security of the whole laptop.

为什么你崭新的 WD 移动硬盘在 Mac 上只能读不能写（问题不在硬盘）

less than 1 minute read

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我把一块装满数据的西部数据（WD）移动硬盘插到 MacBook Air 上，想往里拷一个文件，结果什么都没发生。没有报错弹窗，没有进度条，就是一块能读出所有东西、却一个字节都写不进去的硬盘。我的第一反应是它坏了，或者是我得去修一下权限。这两个判断都是错的，而且顺着错误的解释找下去，差点让我把整台笔记本的安全性永久降级。

Building a real ZIP bomb in Fortran, C++, and C

2 minute read

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I’ve been playing with mixed-language builds (Fortran calling into C++ and C via iso_c_binding) and wanted a demo that was more interesting than “add two numbers across languages.” So I built fortran-zip-bomb: a small program that generates a genuine ZIP bomb — a small archive that expands into a much larger file on decompression.

A Materials-Science Model of Egg Fried Rice, Three Years Later

10 minute read

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In October 2023 I asked ChatGPT an over-engineered question: how do you fry rice so that every grain of rice ends up bonded to egg, with no bare rice grains and no isolated clumps of egg sitting off on their own? I saved that conversation as an HTML file, dropped it in my Downloads folder, and did not look at it again for almost three years. Last week I finally turned it into an actual open-source repo, and going back through the original conversation to build it was more interesting than I expected.

蛋炒饭材料学模型，三年之后

less than 1 minute read

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2023 年 10 月，我问了 ChatGPT 一个过度工程化的问题：怎么炒蛋炒饭，才能让每一粒米都裹上蛋，既没有裸露的白米粒，也没有单独抱团、没沾到米的蛋碎？那次对话我存成了一个 HTML 文件，扔进 Downloads 文件夹，然后差不多三年没再打开过。上周我终于把它整理成了一个真正的开源仓库，回头重读那段 2023 年的对话、把它做成代码的过程，比我预想的有意思得多。

在 UA SFO–PVG 航班上遇到的一位朋友

less than 1 minute read

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在联合航空从旧金山 SFO 飞往上海浦东 PVG 的航班上，飞机已经开始下降，机舱广播一遍遍提醒大家系好安全带。窗外是夜色，舱内的人却已经被“终于回国了”的兴奋点亮。我就在这趟航班上认识了一位朋友。

为什么我一定要投身 AI 浪潮

less than 1 minute read

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最近虽然有的时候也会因为 AI 的发展程度感到非常困惑，感到有一点迷茫、有些焦虑，不知道自己该干啥，然后又因为自己的身份和路径问题，在想有什么样的退路或者更好的方案。

社会矛盾的进一步思考

less than 1 minute read

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当你还在为“只要努力就能向上流动”而拼命内卷时，你可能没有意识到，这个系统从一开始就不是为了培养你，而是为了筛选你。

测一测你的“心脏年龄”

less than 1 minute read

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当一份看似普通的“心脏年龄”问卷让你算出自己的心脏比实际年龄还年轻时，你可能需要重新审视一下那些被你忽视的生活习惯了。

你是哪一种？AI 时代的表演图鉴

less than 1 minute read

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当你在这个由PPT、Paper和焦虑构成的AI时代大剧院里找座位时，不如先看看台上的人都在演哪一出戏。

从诗社到独角兽：少走的路不是偷懒

less than 1 minute read

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哎，我他妈笑了。我忽然想起来，我最早用 Markdown，就是之前创建诗社的时候。知道 Git，也是在那个时候。现在回头看，整个诗社的元老凑在一起，真的快有两个独角兽了。

杨振宁先生到底有多少财富？

8 minute read

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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？

消失的科学家，为什么 600 年才追得上才是科学真正的瓶颈

less than 1 minute read

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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。

Prompt Caching 不是技术债

1 minute read

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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。

My PhD Advisor Built a Land Surface Model That Forecasted Hurricane Harvey

5 minute read

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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.

我的博士导师打造的陆面模型，曾用于预报飓风 Harvey

less than 1 minute read

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加入实验室以后，你会接过一个研究方向，也会继承一套已有 30 年历史的代码库。它目前运行在美国国家水模型中，也曾处在飓风 Harvey 预报工作的关键路径上。这就是在 Jackson School of Geosciences 与 Zong-Liang Yang 一起工作的真实样子。

Sean Xiang Has Been Building Bloombase for 14 Years, and the AI Era Finally Caught Up to It

6 minute read

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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

5 minute read

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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.

Gemini Says My Ego Essay Is Still a Humblebrag

6 minute read

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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

less than 1 minute read

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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

5 minute read

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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.

Trees Drink From Rock, and Daniella Rempe Proved It

5 minute read

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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.

Ashley Matheny Treats Trees as Pumps, and That Changes the Whole Model

5 minute read

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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.

Who Hoards Multimodal Data for Real, Meta, ByteDance, X, and the Visa Plot Twist

7 minute read

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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

less than 1 minute read

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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。

Think First, Code Later with AI

2 minute read

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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.

Earth System Model Skill Packages: Deep Knowledge Bundles for Noah-MP, CLM, CAM, MOM6, WRF, E3SM, and More

3 minute read

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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.

In Conversation with Chenxi Hu

7 minute read

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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

1 minute read

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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？

less than 1 minute read

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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

2 minute read

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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

less than 1 minute read

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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

12 minute read

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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

1 minute read

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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

7 minute read

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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

less than 1 minute read

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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。

Moat Plus Momentum: Why AI Makes Preparation Optional

6 minute read

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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

less than 1 minute read

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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。

The Gibbs Phenomenon: Why LLM Hallucinations Are Mathematically Inevitable

4 minute read

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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.

熵悖论：为什么AI难以实现科学发现

less than 1 minute read

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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。

统计学上如何寻找Outlier

1 minute read

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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：

PhD如何自我设计KPI：从“感觉努力”到“系统产出”

less than 1 minute read

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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？

less than 1 minute read

Published:

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。

I published a preprint on Zenodo: Research grounding for a bilateral venture capital model of PhD programs

26 minute read

Published:

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.

Every Generation Has Its Own To-Do List

7 minute read

Published:

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

1 minute read

Published:

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。

把 GitHub PR 当作技术人的 Inbound Marketing

1 minute read

Published:

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。

技术不是壁垒，销售才是

1 minute read

Published:

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。

Clear Plus Airport Experience: Money, Privilege, and Market Regulation

3 minute read

Published:

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

less than 1 minute read

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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。

I Spent a Night Reverse-Engineering Buy Borrow Die With Gemini, and Realized the F-1 Script Looks Nothing Like the Billionaire One

14 minute read

Published:

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.

2025

Vibe Coding IDEs: a brief comparison (EN)

6 minute read

Published:

Every product has its own pros and cons. Cursor: “extraordinarily productive”; Kiro: “spec-driven”; Antigravity: “agent-first”.

Vibe Coding IDEs brief comparison

2 minute read

Published:

每一家都有每一家的优点和缺点。Cursor: “extraordinarily productive”; Kiro: “spec-driven”; Antigravity: “agent-first”.

Neural Galaxy - 属于你的 AI 对话可视化宇宙

1 minute read

Published:

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

1 minute read

Published:

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.

Collaborating with Claude Code to Update My Academic Website

3 minute read

Published:

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

1 minute read

Published:

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

6 minute read

Published:

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.

komomood - Couple Mood Tracking Heatmap

1 minute read

Published:

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

less than 1 minute read

Published:

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

less than 1 minute read

Published:

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

less than 1 minute read

Published:

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。

1AI-polish - AI 学术写作润色系统

1 minute read

Published:

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。

科技再发达，我们依然是在用基因做决策

less than 1 minute read

Published:

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？

NASA FINESST Resources: A Practical Guide and Link Library for the FINESST Proposal

2 minute read

Published:

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.

2024

NASA FINESST Resources Guide

3 minute read

Published:

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

1 minute read

Published:

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

1 minute read

Published:

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.