praveeninpublic
Joined 3 years ago
Joined 3 years ago
Every time the model “gets it right,” something strange happens. You start trusting it more. You stop questioning what feels off. You begin to settle. And that’s where your skill atrophy goes to die.
Do not settle and become a curator, if you are using AI, ensure you are the one who is creating.
You’re right about a lot: the work is early, it’s rough in places, and there’s still a lot I’m figuring out. But what looks like lack of polish to you feels like forward motion to me. The alternative isn’t mastery. It’s paralysis. I’d rather be making progress than waiting for perfect conditions that may never come.
You called the blog post counterproductive. I don’t think it was. Without it, I wouldn’t have sparked a discussion like this. The post wasn’t trying to make a universal claim, it was just me writing down what I noticed, and trying to understand the reactions I got. That’s been useful.
I get that the work doesn’t meet everyone's standards. Some call it lazy because I used AI. Others call it unfinished because I didn’t use AI enough. That tension is actually what I’m exploring, how to use these tools just enough to get the work closer to what I see in my head, without losing the part that feels like me.
I’m not building this for a gallery. I’m building a record of progress. A timeline. Something I can look back on and say, "I made that, and I kept going".
I might not agree with everything you said. But I’m paying attention. And I’m still drawing.
I am running a 90 days challenge to learn, explore, challenge my past beliefs and build systems that will help me accelerate. If you're interested, you can follow me here on X: https://x.com/PraveenInPublic/status/1917824031660859667
I did something quick and made the readers of my graphic novel think rather than worry whether my art was real or AI.
We’ve started trusting AI like calculators. So, assuming it's right without checking. But LLMs can be confidently wrong, and once that habit sets in, even the “ChatGPT can make mistakes” warning fades into the background.
But, LLMs help us think, which is much more than just computing, that's more dependency.
When I had a tough time few months ago, health issues at home and spiring down, I took a break (technically ran away to breath, but with an intention to be back home and also the family of informed few hours later)
The whole journey, I used AI tools to think clearly, it worked, I strategized, planned, and came back home with an execution plan.
But, the moment I reached back home, things were different, but I adapted, AI was still helping. But at one point, it said “You need to walk away, pack your bag, take your car, tell no one can stop you.” That’s when I realize I need to stop listening to AI.
It’s more of when to listen and when not to listen is what matters. We cannot fully rely on what AI gives us, because it’s still heavily biased on its training data.
So, in this context, even if they use AI, it will be definitely the panel that would be approving or rejecting those laws. So, it’s still technically the humans who are writing the law.
To improve AI from where we are now, quality will play a crucial role in it.
My son couldn’t name a feeling, so he threw a tantrum. Two days later, he found the word. And the tantrums stopped.
That moment taught me what many forget: language is how we think, feel, and regulate our inner lives. This post is about how we're quietly losing that: The death of depth.