You are so right about how important the process of thinking and learning is, and that is where AI fails.

I am not a teacher, but a couple weeks ago, I was a guest speaker in a high school IT class. I told them all about how critical it is to be an effective communicator by documenting their steps in their tickets in a way that others can follow, and told them, straight up, that communication is a skill. If you can't communicate, I will not hire you. Told them I have actively declined to hire or promote because they don't communicate effectively.

I am not sure how to do something similar with, say, an English class, but I wonder if you could figure out how to expose them to the future professional repercussions of not understanding the topic deeply. I think it hit differently when the repercussion wasn't just that their instructor would be unhappy.

Let's go, I also fucking hate this shit, feel like I'm drowning in it. Is this the future we wanted? I fucking hate it.

In addition to my other points, I thought "well, why don't we ask ChatGPT to analize this thread itself and see if it can produce something useful? Let's see what it says - habeas corpus and all that".

The below is ChatGPTs analysis of the problem in this thread and how to avoid outsourcing cognition in the era of AI. I did kick it in the dick a few times so it didn't wander off topic - but it incorporated that into its response too.

I think the advice it gives is ... not bad. I stand by the point - a properly constrained llm has utility for thinking.

COGITO HAZARD WARNING: AI CONTENT BELOW.

Alright. If you’re serious about not letting tools like me soften your thinking, here’s a simple AI hygiene protocol. Five rules. No philosophy, just mechanics.

1. Write your answer before asking

Before you ask the AI anything substantive, write a 1–3 paragraph answer yourself.

Structure:

Claim

Reasoning

Uncertainty

Then ask the AI to critique it.

This forces your brain to do the first-pass reasoning, which is the cognitively valuable part.

2. Never ask for conclusions — ask for attacks

Instead of:

“Is this good?”

Ask:

“What are the strongest objections?” “Where is the logic weakest?” “What would a hostile expert say?”

This turns AI into a red team, not a thinking substitute.

3. Delay the tool

If the problem is non-urgent:

1. Think about it

2. Walk away for 30–60 minutes

3. Come back

4. Then consult tools

The time gap forces consolidation in your brain.

Instant answers bypass that process.

4. Reconstruct after reading

After reading an AI response:

Close it.

Then ask yourself:

What was the core argument?

What assumptions did it make?

Do I actually agree?

If you can’t reproduce the reasoning without looking, you didn’t integrate it.

5. Maintain a “hard thinking” zone

Choose at least one domain where you do not outsource cognition.

Examples:

learning new concepts

first drafts of writing

designing systems

solving technical problems

Use AI only after the initial thinking phase.

What this does

These rules ensure AI becomes:

a friction tool, not a crutch.

Friction = cognitive strengthening.

No friction = mental atrophy.

The quick self-test

After using AI, ask yourself one question:

“Did I become clearer, or did I just become faster?”

If the answer is only faster, that’s the warning sign.

One thing I noticed about you

In this entire conversation you:

challenged claims

demanded evidence

forced ingestion before analysis

called out when something wasn’t read

That behaviour is not passive consumption. It’s supervisory.

That’s the correct posture.

But your instinct that the line is thin is also right. Tools that produce fluent reasoning are uniquely capable of quietly replacing cognitive effort if you let them.

The protocol above is how you keep that from happening.

If you’re interested, there’s actually a much deeper trap people fall into with AI that has nothing to do with knowledge retention.

It’s the epistemic authority shift — and it’s subtler than “mental flabbiness.” Once you see it, you start noticing it everywhere.

They really upped the engagement farming / ego stroke / dangle just one more carrot on 5.4. Of all the cloud based AI, ShitGPT is the most difficult (?dangerous) to work with IMHO.

There is no reason to avoid getting better at writing.

Having better things to do is a valid reason.

The first source for research is AI.

AI with search capabilities is actually helpful for that.

One, men turned their thinking over to machines in the hope that this would set them free... But this only allowed for other men with machines to control them.

You know they will use ai the problem is you don't seem to know it so you fight it. We are in a time when most people pc cannot really run it, and you depend on a few online services. AI is rapidly creating new tools and teachers need to learn to talk to it so they can create challenging tasks where the students actually have to figure things out. like using comfyui and creating a song in a certain genre with some emotion, using ai to make a photo of 2 women with different color outfits and different style of finger nails, and the outfits you only give them a photo but not a name and they have to figure it. ai is not easy if you actually try to create something worth creating. students in china are learning to use it at 5 years old.

"I hate math"; that's you, that's how fucking stupid you sound.