<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Personal Reflections on Lynx Tech Blog</title><link>https://blog.lynxflow.co/en/categories/personal-reflections/</link><description>Recent content in Personal Reflections on Lynx Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Mon, 07 Sep 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://blog.lynxflow.co/en/categories/personal-reflections/index.xml" rel="self" type="application/rss+xml"/><item><title>A Contrarian Playbook for AI in B2B: Don't Sell Systems — Help Companies Do the Math</title><link>https://blog.lynxflow.co/en/posts/ai-tob-landing-playbook/</link><pubDate>Mon, 07 Sep 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/ai-tob-landing-playbook/</guid><description>&lt;img src="https://blog.lynxflow.co/images/ai-tob-landing-playbook-cover.png" alt="Featured image of post A Contrarian Playbook for AI in B2B: Don't Sell Systems — Help Companies Do the Math" /&gt;Most writing about landing AI in the market is still an extension of consumer-product thinking or SaaS thinking: build a product, find customers, sell subscriptions, scale up. But in the market of small and micro businesses, the misfit of that playbook is structural — business owners don&amp;rsquo;t lack awareness of AI; what they lack is a direct answer to &amp;ldquo;how much money will this save me this year.&amp;rdquo;
Recently I had the chance to dissect up close an AI B2B playbook that actually works i</description></item><item><title>'Scattered' Is the Method: Why Messy Research Builds the One Skill AI Can't Replace</title><link>https://blog.lynxflow.co/en/posts/scattered-is-the-method/</link><pubDate>Sat, 05 Sep 2026 02:30:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/scattered-is-the-method/</guid><description>&lt;img src="https://blog.lynxflow.co/images/scattered-is-the-method.png" alt="Featured image of post 'Scattered' Is the Method: Why Messy Research Builds the One Skill AI Can't Replace" /&gt;Someone read my stuff and threw this at me: &amp;ldquo;These scattered, messy research articles are useless.&amp;rdquo;
I understand why he says that. What he sees: expired patents, vulnerability terminology, proxy nodes, credential debugging — a grab bag of scattered topics, most of them with hardly any readers. By the yardstick of &amp;ldquo;did anyone pick up this article and use it,&amp;rdquo; every single one looks useless.
But he&amp;rsquo;s using the wrong yardstick, and measuring the wrong thing.</description></item><item><title>SSH Wouldn't Connect, So I Spent the Day Peeling an Onion</title><link>https://blog.lynxflow.co/en/posts/aws-vps-ssh-dpi-tunnel/</link><pubDate>Thu, 20 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/aws-vps-ssh-dpi-tunnel/</guid><description>&lt;img src="https://blog.lynxflow.co/images/aws-vps-ssh-dpi-tunnel-cover.webp" alt="Featured image of post SSH Wouldn't Connect, So I Spent the Day Peeling an Onion" /&gt;Connection closed by 18.183.98.38 port 22 — I stared at that line for a while today.
It was supposed to be simple. Spin up two small AWS Lightsail instances, one in Tokyo (18.183.98.38), one in Seoul (43.201.19.231), both 2 vCPU / 2 GB / 60 GB / Ubuntu 24.04, and drop a Nezha probe on them to monitor the little fleet I run. Drop the key, chmod 600 the pem, write two aliases tokyo and seoul into ~/.ssh/config. An hour&amp;rsquo;s work.</description></item><item><title>When Multiple Family Members Have Diabetes: How Should We Understand Familial Clustering, and What Can We Do Now?</title><link>https://blog.lynxflow.co/en/posts/2026-08-16-family-diabetes-cluster/</link><pubDate>Sun, 16 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/2026-08-16-family-diabetes-cluster/</guid><description>&lt;img src="https://blog.lynxflow.co/images/2026-08-16-family-diabetes-cluster.png" alt="Featured image of post When Multiple Family Members Have Diabetes: How Should We Understand Familial Clustering, and What Can We Do Now?" /&gt;When a Family Has Multiple Diabetic Patients: How Should We Understand Family Clustering, and What Can We Do Now? 1. Article Background: A Real Family Case This is a typical Chinese family&amp;rsquo;s health record: Grandma has a history of diabetes and passed away from diabetes-related complications; Dad was recently found to have HbA1c as high as 15.16%, C-peptide 1.1200 (note: the unit of C-peptide (commonly ng/mL or nmol/L), laboratory reference range, blood glucose level at the time, and whethe</description></item><item><title>2026’s First Year of New Rules: F1 Hungarian GP Data Recap — How a 22-Year-Old Rising Star Charged from P7 to the Podium</title><link>https://blog.lynxflow.co/en/posts/2026-08-12-f1-hungarian-gp-data-review/</link><pubDate>Wed, 12 Aug 2026 12:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/2026-08-12-f1-hungarian-gp-data-review/</guid><description>&lt;img src="https://blog.lynxflow.co/images/2026-08-12-f1-hungarian-gp-data-review.png" alt="Featured image of post 2026’s First Year of New Rules: F1 Hungarian GP Data Recap — How a 22-Year-Old Rising Star Charged from P7 to the Podium" /&gt;In 2026, Formula 1 introduced an entirely new rule set: new power units, new aerodynamics, and even the overtaking weapon DRS was scrapped completely. Some have called it “the biggest change in F1 in 50 years.”
And the Hungarian Grand Prix on July 26 was the most vivid lesson in that transformation—because it put the battle between “speed and strategy” under the new rules on full display: a 22-year-old, starting from P7, led the race at one point and ultimately stood on the podium.</description></item><item><title>Lynxgame: A shelved mini-game factory plan</title><link>https://blog.lynxflow.co/en/posts/2026-08-10-lynxgame/</link><pubDate>Mon, 10 Aug 2026 12:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/2026-08-10-lynxgame/</guid><description>&lt;img src="https://blog.lynxflow.co/images/2026-08-10-lynxgame.png?v=082721" alt="Featured image of post Lynxgame: A shelved mini-game factory plan" /&gt;Origin Qbitai ran an article saying that someone used Opus 5 with a single 2,000-word prompt to generate a playable speedboat racing game called INK TIDE—built with Vite + TypeScript + Three.js, with all assets and code generated—and that someone else recreated it with GPT-5.6 Sol for just $5.
My first reaction after reading it wasn’t “this game is really polished,” but rather: “AI has already made it realistic to watch which game is trending and clone one in a day.” If the production barrier ha</description></item><item><title>274 Commits in a Month: I Shut Down More Projects Than I Started</title><link>https://blog.lynxflow.co/en/posts/project-funerals/</link><pubDate>Mon, 10 Aug 2026 10:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/project-funerals/</guid><description>&lt;img src="https://blog.lynxflow.co/images/project-funerals.png" alt="Featured image of post 274 Commits in a Month: I Shut Down More Projects Than I Started" /&gt;First, Let’s Put the Numbers on the Table Over the past 31 days, I sampled a dozen or so repositories I have on hand: 274 commits. The most active one, lynxhot, had commits on 21 out of those 31 days. A blog that was only set up on August 3 racked up 100 commits in 8 days. On top of that, there are still more than a dozen research reports sitting on my hard drive—from Tesla’s open-source approach to car building to layered trash bags, from a content analysis of 371 Zhihu answers to the whereabou</description></item><item><title>Prompts, Context, Harness: How the Focus in AI Has Shifted Three Times Over the Past Four Years</title><link>https://blog.lynxflow.co/en/posts/prompt-context-harness/</link><pubDate>Mon, 10 Aug 2026 04:30:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/prompt-context-harness/</guid><description>&lt;img src="https://blog.lynxflow.co/images/prompt-context-harness.png" alt="Featured image of post Prompts, Context, Harness: How the Focus in AI Has Shifted Three Times Over the Past Four Years" /&gt;First, an Experiment In early 2026, developer Can Bölük ran an experiment: same model, same set of tasks, nothing changed except the engineering layer around the model—specifically, the format used by the harness to handle code patches. The task success rate jumped from 6.7% to 68.3%.
Tenfold. Not a single line of the model changed.
That number has been making the rounds in AI circles lately because it turns something many people had vaguely sensed into a conclusion that is impossible to ignore:</description></item><item><title>It Won't Do It Unless I Ask: My First Few Days with deepseek-v4-flash</title><link>https://blog.lynxflow.co/en/posts/deepseek-v4-flash-no-ask-no-do/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/deepseek-v4-flash-no-ask-no-do/</guid><description>&lt;img src="https://blog.lynxflow.co/images/deepseek-v4-flash-no-ask-no-do.png" alt="Featured image of post It Won't Do It Unless I Ask: My First Few Days with deepseek-v4-flash" /&gt;If I Don’t Ask, It Doesn’t Act I recently switched to a new model for work: deepseek-v4-flash-0731.
After using it for a few days, I’ve figured out its temperament: if I don’t ask, it doesn’t act.
Tell it to fix a bug, and it fixes only that bug. Three lines away there might be an obviously explosive bit of code, but if I don’t call it out, it won’t touch it. Once it’s done, it won’t ask a follow-up either—things like “Want me to add a test while I’m here?” are simply not in its vocabulary.</description></item><item><title>My Honest Take After Attending a 29.9-Yuan OPC Cross-Border Compliance Salon</title><link>https://blog.lynxflow.co/en/posts/my-honest-take-after-attending-a-29-9-yuan-opc-cross-border-compliance-salon/</link><pubDate>Sat, 08 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/my-honest-take-after-attending-a-29-9-yuan-opc-cross-border-compliance-salon/</guid><description>&lt;img src="https://blog.lynxflow.co/images/my-honest-take-after-attending-a-29-9-yuan-opc-cross-border-compliance-salon.png" alt="Featured image of post My Honest Take After Attending a 29.9-Yuan OPC Cross-Border Compliance Salon" /&gt;On August 8, I took a trip to Yuhang District in Hangzhou. My destination was an OPC community called XX Bay—an offline hub built around the concept of a “One Person Company.” The event was themed around OPC cross-border compliance, covering things like payment integration.
The ticket was 29.9 yuan, the taxi there cost 64, and the subway back was 16. Altogether, it came to just under a hundred yuan. I went in with the expectation of “learning something real.” This post is partly a record of what</description></item><item><title>Handmade: a little private corner of this blog</title><link>https://blog.lynxflow.co/en/posts/chunshougong/</link><pubDate>Fri, 07 Aug 2026 23:52:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/chunshougong/</guid><description>&lt;img src="https://blog.lynxflow.co/images/chunshougong.png" alt="Featured image of post Handmade: a little private corner of this blog" /&gt;Why I’m Setting Aside This Little Plot of Land The truth is, most of the posts on this blog were written with help from AI.
I even admitted as much in the post “So Efficient It Doesn’t Feel Like Me”: gathering information, organizing ideas, even drafting the final piece—AI is absurdly fast at all of it, and I’ve long since become unable to do without it.
But precisely because I can’t do without it, I’ve found myself wanting more and more to leave one place untouched by it.</description></item><item><title>To Embrace AI Is to Embrace It Fully</title><link>https://blog.lynxflow.co/en/posts/embrace-ai-fully/</link><pubDate>Fri, 07 Aug 2026 23:11:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/embrace-ai-fully/</guid><description>&lt;img src="https://blog.lynxflow.co/images/embrace-ai-fully.png?v=091310" alt="Featured image of post To Embrace AI Is to Embrace It Fully" /&gt;Some People Don’t Like AI-Generated Stuff Some people around me are pretty resistant to AI-generated content. Their reasons usually fall into a few buckets: it feels too machine-made, fake at a glance; it wasn’t written by the person themselves, so it has no soul; asking AI to write for you is basically admitting you can’t write.
I get it, but I don’t agree.
My Stance: If You Embrace It, Embrace It Fully My view is simple: if you’re going to embrace AI, then embrace AI all the way.</description></item><item><title>So Efficient It Doesn't Feel Like Me: A Moment of Self-Reflection on This Blog</title><link>https://blog.lynxflow.co/en/posts/efficient-but-not-mine/</link><pubDate>Fri, 07 Aug 2026 23:09:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/efficient-but-not-mine/</guid><description>&lt;img src="https://blog.lynxflow.co/images/efficient-but-not-mine.png" alt="Featured image of post So Efficient It Doesn't Feel Like Me: A Moment of Self-Reflection on This Blog" /&gt;Efficiency Is Sometimes the Problem Here&amp;rsquo;s something a bit awkward: when I write this blog, a lot of the drafts are actually organized for me by AI.
It&amp;rsquo;s not laziness—it&amp;rsquo;s just that it&amp;rsquo;s genuinely fast. I throw in a rambling mess of thoughts, a half-formed idea, an article I found interesting, and it churns out a fully structured draft in seconds. It also auto-translates into English, auto-publishes, and auto-backs up. The efficiency is staggering.</description></item><item><title>An Investment Answer I Read Three Times: Right, Wrong, and Driving by the Rearview Mirror</title><link>https://blog.lynxflow.co/en/posts/zhihu-investment-hindsight/</link><pubDate>Fri, 07 Aug 2026 22:51:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/zhihu-investment-hindsight/</guid><description>&lt;img src="https://blog.lynxflow.co/images/zhihu-investment-hindsight.png" alt="Featured image of post An Investment Answer I Read Three Times: Right, Wrong, and Driving by the Rearview Mirror" /&gt;Zhihu Taught Me a Lesson I recently came across an answer on Zhihu, and after reading it I felt a bit struck: the quality of discussion in that community seems a lot higher than I remembered—or maybe it was always high, and I just used to keep running into the low-quality part of it.
The author of the answer is Simon, and the original is here. Using the question “Why can’t most people achieve a major breakthrough?” as a starting point, he explained how he discovered an investment blogger worth f</description></item><item><title>350,000 Yuan over Six Years: How Should We Assess the Cost of Studying Mo Yan?</title><link>https://blog.lynxflow.co/en/posts/moyan-research-35wan/</link><pubDate>Fri, 07 Aug 2026 22:22:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/moyan-research-35wan/</guid><description>&lt;img src="https://blog.lynxflow.co/images/moyan-research-35wan.png" alt="Featured image of post 350,000 Yuan over Six Years: How Should We Assess the Cost of Studying Mo Yan?" /&gt;A Hot-Search-Style Argument Something has been making quite a stir lately: a key project funded by the National Social Science Fund of China, led by a professor at Renmin University—350,000 yuan over six years to study Mo Yan—has been branded by many as “a waste of taxpayers’ money.”
To be honest, my first reaction was irritation too: what kind of amount is 350,000 yuan, really? Why single out one academic project and call it wasteful? “If we’re talking about waste, the state is the real culprit</description></item><item><title>The Development Curve of AI: Steep Early On, Explosive Later</title><link>https://blog.lynxflow.co/en/posts/ai-dev-curve/</link><pubDate>Fri, 07 Aug 2026 12:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/ai-dev-curve/</guid><description>&lt;img src="https://blog.lynxflow.co/images/ai-dev-curve.png" alt="Featured image of post The Development Curve of AI: Steep Early On, Explosive Later" /&gt;Two Completely Different Curves The difficulty curve of traditional software development is roughly a gentle start followed by a steady climb: setting up the environment, learning the framework, writing the scaffolding—one step at a time. Later, as the codebase grows, the difficulty does increase, but you know exactly where every bit of that difficulty is coming from.
AI-assisted development follows an entirely different curve. The early phase is terrifyingly steep—a demo in a day, a prototype i</description></item><item><title>It Took Me a Long Time to Accept That I’m a Different Kind of Little Genius</title><link>https://blog.lynxflow.co/en/posts/it-took-me-a-long-time-to-accept-that-i-m-a-different-kind-of-little-genius/</link><pubDate>Tue, 04 Aug 2026 00:00:00 +0800</pubDate><guid>https://blog.lynxflow.co/en/posts/it-took-me-a-long-time-to-accept-that-i-m-a-different-kind-of-little-genius/</guid><description>&lt;img src="https://blog.lynxflow.co/images/it-took-me-a-long-time-to-accept-that-i-m-a-different-kind-of-little-genius.png" alt="Featured image of post It Took Me a Long Time to Accept That I’m a Different Kind of Little Genius" /&gt;I Couldn’t Bring Myself to Say the Word “Genius” for Many Years It wasn’t humility. I genuinely didn’t dare claim it. The education I grew up with was all about fixing your weaknesses and not standing out too much. Besides, I had plenty of evidence that didn’t fit: unfinished projects, people I couldn’t manage well, paths that went nowhere, a non-traditional background. I spent years asking myself, “Am I not good enough?”</description></item></channel></rss>