Here’s to Originality.

“This sounds too good. Must be AI.”
Ah yes. The highest ‘compliment’ you can give a writer in 2025.

Spends 3 hours obsessing over a synonym.
Rewrites one line 17 times.
Gets hit by a random poetic metaphor while doing home chores.
Bleeds voice into the keyboard.
Crafts it. Rewrites it.
Deletes half of it.
Writes again.

And then someone comments:
“ChatGPT?”

That’s what original writers get now.
Not “great post.” Not “loved this.”
Original thought? Suspect.
Emotional nuance? Suspicious.
A post that flows well and makes sense? Definitely AI.

Meanwhile, ghostwriters?
They used to be mysterious.

Now they’re just GenAI with a birth certificate.

We used to chase polish.
Now we chase proof.

Want proof it’s not AI?
Look for the one extra word I couldn’t delete.
The sentence I didn’t need, but emotionally needed.
And the slight passive-aggressive undertone?
That’s all me.

Honestly, the real test should be: Is there a typo?
A rambling sentence that loops back unnecessarily?
A paragraph that sounds like it was written at 2 AM, lying on the bed watching a series.

That’s the mark of a real person.

So here’s to the humans.
Still writing. Still thinking. Still obsessing over how to say it “just right.”

But you know what?
There’s no algorithm for nostalgia.
No prompt for what it smells like after rain.
No thesaurus for your kind words, appreciation and motivation.
No autocomplete for silence, or warmth, or roots.

So now, I stepped away.
Back to the soil, the slowness, the sound of nothing refreshing.

My writing may not be perfect, but it’s mine.

P.S. If this sounded human, messy, and slightly passive-aggressive…That’s how you know it’s me.

Thank you, OpenAI and ChatGPT!

We’ve reached a place where our chats or emails, or in-person discussions, sound more like cold prompts to an AI than conversations between humans.

No “Hi. How are you doing?”
No “Good morning. How was your weekend?”
No “Hope you’re doing okay.”

Just task → response → next task.

And it is considered the new normal because of how crazy busy everyone is.

Ironically, the one entity we do speak politely to these days… is ChatGPT!

And polite words? Well, they’re literally costing OpenAI tens of millions of dollars in electricity bills. Just because the polite back-and-forth uses more server power.

But as Sam Altman says, it’s a price worth paying—because what makes AI valuable is how human it feels.

Now imagine how valuable our actual humans at work or home would feel… if we just remembered to treat them the same.

Because, while AI may run on electricity, people run on respect.

We’re expecting the results in the middle of hospital waiting rooms, not knowing if someone’s there.
We don’t pause to say thank you, even when someone accomplishes a task from the backseat of a cab or a local transport, while juggling home, pets, kids—or life.
We forget that just because someone delivers, doesn’t mean they weren’t struggling while doing it – let alone acknowledging the efforts and time they invested.

No need to “debug” emotions.

Maybe it’s time to relearn what we were taught in school—
“Please.”
“Thank you.”

Nostalgic, right? Maybe what’s even more worth it?
Bringing a little of that warmth back to real humans.

It might not save server power, but it’ll definitely spark something better.

Because even in a high-speed, AI-powered world, kindness is never a wasted resource. And unlike AI, it doesn’t need to be rebooted to work wonders.

PS: Well, I got a Ghibli Image with an entirely different embroidered creature. Anyway, thank you, ChatGPT!

World Intellectual Property Day: Unlocking the Potential of AI and IP: Balancing Security and Innovation

AI and ML are changing the game in business, but what about the world of Intellectual Property (IP)? Here are some challenges and opportunities to consider:

Security of AI-generated content

Challenge: With the rise of AI-generated content, it’s difficult to determine who owns the copyright to these works.
Solution: Establishing copyrights for AI-generated creations can provide legal protection, but the role of human creativity in the creation of these works must be considered.

Fostering Innovation in AI and ML

Challenge: Overly broad patents in the AI and ML space can stifle innovation and competition.
Solution: A balanced approach to patent protection is necessary, which protects investment and innovation while also promoting competition and new ideas.

Image Source: Republic

Who owns it?

Challenge: As AI and ML systems become more advanced, it’s unclear who owns the rights to these systems and how they can be protected.
Solution: Treating these systems as independent entities with their own legal rights and responsibilities may be necessary to ensure responsible development and use.

AI and IP Ethics
Challenge: The use of AI and ML raises ethical concerns around issues such as privacy, bias, and discrimination.
Solution: Conducting ethical assessments of AI systems before they are released can identify and mitigate risks, while promoting responsible and ethical development and use.

The key to unlocking the potential of AI and IP lies in striking the right balance between security and innovation while ensuring that these technologies are developed and used in a way that benefits everyone.