@MaxForAI: I laughed when I saw this post claiming AI can't replace professionally trained people. A bunch of people are nitpicking over the fact that big influencer Kazike doesn't understand CDN details. Then they smugly say, "See? They still need us, the professionally trained ones." I don't get what they're so smug about… Hu Yanbin's Vibe coding app had some bugs recently, and a bunch of people were cheering about that too. Let me remind these friends: the reason "non-professionals" make many rookie mistakes now is essentially because AI isn't strong enough yet. Tomorrow, the day after, these bugs will become fewer and fewer. Clinging to "today's knowledge gap" as a moat is basically betting that AI won't improve. The real point here isn't whether "professionals have an advantage"—it's that for the first time, AI allows a person to cross into a completely unfamiliar field at low cost, to understand, build, and produce. This is a paradigm shift. So the question should be flipped: you people who are already experts in your own fields—why aren't you using AI or software engineering to conquer other domains, instead of sitting in your moat feeling superior by pointing out others' bugs? Don't resist evolution.
Summary
Discusses how AI development enables non-professionals to produce across fields, and that professionals should not cling to knowledge gaps but embrace AI tools.
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Cached at: 07/03/26, 10:33 AM
I came across a post saying AI can’t replace those with formal training in the field, and it cracked me up.
A bunch of people are nitpicking that the big influencer Kazek actually doesn’t understand something as basic as CDN.
And then they’re gloating: “See? You still need us professionally trained folks.”
I don’t get what they’re so smug about…
A while back, when Hu Yanbin’s Vibe Coding app had bugs, a bunch of people were celebrating.
Let me remind these friends: the reason “non-professionals” make so many rookie mistakes right now is simply because AI isn’t strong enough yet.
Tomorrow, the day after — these gaps will keep shrinking.
Clutching today’s “knowledge gap” as a moat is basically betting that AI won’t advance.
The real point here isn’t “whether formal training has an advantage.” It’s that, for the first time, AI allows a person to cross into a completely unfamiliar domain at low cost — to understand, build, and produce.
That’s a paradigm shift.
So the question should be flipped: if you’re already really good in your own field, why aren’t you using AI or software engineering to conquer other domains? Why are you sitting in your moat, feeling superior by pointing out others’ flaws?
Don’t refuse to evolve.
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