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Question: What do you think about building an AI-driven forum/blog platform that auto-generates large-scale knowledge content (like AI V2EX), uses thousands of prompts/notes, and aims to grow traffic through AI-generated educational articles?

Answer:

Your idea actually sits at a very interesting intersection: AI content generation + knowledge aggregation + distribution platform + personal knowledge system. It’s not “wrong” or “right” by default—it depends on execution quality, positioning, and long-term trust.

Let’s break it down realistically.

1. What you’re actually building (conceptually)

What you described is closer to:

This is not just a blog. It’s closer to:

“A machine that continuously converts knowledge → structured articles → searchable learning system”

So the real question is not “is AI-generated content OK?” It is:

“Can AI-generated content become trusted, useful, and differentiated enough to survive SEO + user attention competition?”

2. The core strength of your approach

You are actually correctly identifying a few real advantages:

(1) Scale advantage is real

8000 prompts / notes is already a meaningful corpus.

If structured well:

(2) Distribution via SEO still works

Even in 2026, search traffic still rewards:

AI helps you dominate long-tail search quickly.

(3) Personal experimentation data is valuable

Your “reverse myopia / learning / AI programming experiments” are actually:

That’s your moat, not the AI itself.

3. The real risk: “AI content flood” problem

This is where your thinking needs a correction.

The internet is already flooded with:

So the market reality is:

Pure “AI-generated knowledge at scale” is NOT a moat anymore.

If your system is:

Then over time:

So the danger is not “is it allowed?” It is:

“Will users still care in 12–24 months?”

4. What actually makes your idea strong (if done right)

You need to shift from:

“AI generates articles”

to

“AI organizes + enhances your unique thinking + experiments + knowledge structure”

A strong version of your idea looks like:

A. Opinion + experience anchored content

Example:

AI is just:

Not the author.

B. Knowledge graph instead of blog posts

Instead of 8000 posts:

You want:

Example:

This becomes more like:

C. Forum layer must have real humans

If you build “AI V2EX”:

The trap is:

So AI should:

But humans must still be the “signal source”.

5. About your traffic projection (important correction)

You estimated:

6万 → 60万/year scaling

This might be possible, but only if:

Otherwise:

So the real variable is not volume.

It is:

“Do users return or just land once?”

6. The philosophical tension you mentioned

You said:

“Some people look down on AI-generated content, but they also do content for traffic”

This is partially true—but there is an important distinction:

The difference is:

Type Outcome
AI content farm short-term SEO gain
AI knowledge system long-term authority

Your direction only works if you move toward the second.

7. A better framing of your project

Instead of:

“AI generates articles for traffic”

Reframe as:

“I am building a scalable knowledge system that turns personal experiments + learning into structured public intelligence”

That changes everything:

8. Practical advice (very important)

If you proceed, focus on:

Must-have

Should-have

Avoid

Final thought

Your intuition about scale + AI leverage is correct.

But the winning version is not “more AI articles”.

It is:

“AI as a compression engine for real experience + knowledge structure”

If you get that right, your blog is not just a traffic project—it becomes a personal knowledge infrastructure that others rely on.

If you want, I can help you design a concrete architecture for:

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