@guanmo_ai: A few months ago, when I was still at the big tech company, one day my vision suddenly blurred, and within a dozen seco…
Summary
A former big tech employee recounts how health issues from 996 work culture and AI's potential led them to leave their job and commit to independent AI practice, highlighting human-AI collaboration.
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Cached at: 09/16/26, 05:56 AM
A few months ago, when I was still at the big tech company, one day my vision suddenly blurred, and within a dozen seconds, my eyes went completely blind, lasting for a few dozen seconds.
How to describe those dozens of seconds of blindness? It’s like you strain to open your eyes as wide as possible, but you can’t see a thing. You reach your hand forward to steady yourself on something, but there’s nothing in front of you, and you can’t even see your own hand—nothing at all.
At that moment, I realized just how fragile humans really are. Death can come without warning, and it won’t give you any space to prepare. Afterward, I rushed to the ER to see a doctor and had all sorts of tests done, but nothing turned up.
The doctor said it was transient blackout, and after checking cardiology, neurology, and ophthalmology, they found no issues. I had my own suspicions, though—the pressure at the big tech firm wasn’t light, and I’d been grinding through a half-year stretch of 996 workdays then. Plus, I was staying up late studying because I was so excited about the emergence of AI, and my body just couldn’t take it anymore.
After these past few years at the big tech firm, I bet a lot of my peers are in the same boat as me, stuck in a long-term state of subhealth. The day after that transient blackout happened, I just so happened to negotiate a mutual termination of my contract.
Now that I’m not working, my health has improved a ton, and I have way more time to dive into exploring AI. Actually, even before quitting, I kept saying that work was getting in the way of my AI learning—and this time, I finally got my wish. The severance package was six figures, too.
Let me give a quick intro about myself: In 2019, I got into xx University—one of Guangdong’s most renowned 985 schools—with a provincial ranking in the top 1200 back home. My major was computer-related.
In 2023, I joined one of the hottest big tech companies at the time and stayed for 3 years. I’m not sure how to weigh the gains and losses from those 3 years—my annual year-end bonus was usually six figures, my pretax income over the 3 years came to 1.2 million+, and aside from some minor illnesses, no major health crises.
Let’s talk about AI. Back in February this year, actually 90% of my work could already be handled by AI. I was doing development and maintenance for a product handling billions in transaction volume, serving markets in Hong Kong, Macao, Taiwan, Japan, Korea, Europe, the US, and beyond. AI wrote the code; I mainly handled code reviews, and when issues cropped up, I took responsibility for them.
It’s kinda hilarious—so AI will replace a ton of people, but it won’t fully replace everyone, because you still need someone to take responsibility for it.
One last thing: my take on this. I think human + AI = infinite potential, so we gotta seize this AI wave. That’s why I’ll keep learning and practicing AI nonstop. Quitting the big tech job was partly for my health, but also because I saw how AI is set to upend the world—now I can dive headfirst into deep AI practice without distractions.
I still remember a line from middle school, from The Book of Rites: “Teaching and learning reinforce each other.” Sorting out what you’ve learned and sharing it with everyone is actually the best way to deepen your own understanding and growth.
Feel free to follow me—going forward, I plan to Build In Public, sharing my AI practice openly and continuously. I’ll drop real-world battle-tested experience from using AI at the big tech firm, efficiency-boosting AI tool setups, AI side hustles, and more—genuine stuff to help everyone level up with AI and ride this wave together.
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