ALC25, GET11, REDEEM & Thousands of Noon UAE Promo Codes — A Smart Marketing Strategy Explained

Ibrahim Nassoura — Wed, 29 Apr 2026 04:00:00 +0000

We all love promo codes.
Type a code, get a discount, and feel like you just “won” something.

But have you ever wondered…
who is actually paying for that discount?

Let’s take a simple example from platforms like Noon.

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💡 The Typical Offer

You might see something like:

10% cashback for the buyer
10% commission for the affiliate
Platform and seller still make profit

Sounds great, right?

But here’s the interesting part 👇

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📊 So What’s the Real Price?

If:

You get 10% back
The affiliate gets 10%
The platform takes its margin
The seller still profits

Then the original price already includes all of that.

👉 In simple terms:
The “discount” is often already built into the price.

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🧠 Is This a Bad Thing?

Not really.

This is actually smart marketing, not a scam.

Why?

Because:

Customers feel rewarded
Affiliates promote aggressively
Platforms increase sales volume
Sellers move more inventory

Everyone wins… psychologically.

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🤔 But Why Is It Confusing?

Because not all codes are equal.

For example:

One code gives 10% up to 25 AED
Another gives 5% up to 10 AED

Both look like “discounts”…
But one is clearly better.

👉 Yet most users don’t compare.

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🎯 The Real Strategy

Promo codes are not just discounts.
They are a distribution system.

Instead of spending on ads, companies:

Give part of the budget to users
Give part to affiliates
Let people market for them

It’s performance-based marketing at scale.

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💬 My Take

Personally, I don’t mind promo codes.

But I do think:
👉 They should be clearer
👉 Easier to compare
👉 More transparent

Until then… it’s on us to choose wisely.

⸻

💡 If You’re Looking for One

From what I’ve tested:

ALC25 → 10% cashback (up to 25 AED)
Better value than many smaller % codes

Just something that worked for me 👍

Are we training AI, or is AI now training us?

Ibrahim Nassoura — Fri, 25 Apr 2025 06:57:12 +0000

The Rise of Artificial Intelligence — And the Decline of Human Nature?
We were told that artificial intelligence would learn from humans — that it would replicate our ability to think, feel, and solve problems. But something unexpected is happening.

The more intelligent our machines become, the more we are being asked to act like them.

Recently, the CEO of OpenAI made a remark that polite expressions like “please” and “thank you” might be costing millions of dollars in computational resources. At first glance, it seems like a technical detail. But beneath it lies a deeper philosophical shift — a subtle message that what makes us human may now be seen as inefficient, costly, or even obsolete.

We built AI to serve us. But it’s starting to feel like we’re the ones adapting to serve AI.

From Masters to Servants: A Cultural Reversal
Artificial Intelligence was designed to learn from human behavior — our logic, our creativity, our flaws. But as AI systems evolve, humans are being asked to change the way they speak, think, and behave to suit machine preferences.

We simplify our questions so the machine can “understand” us.
We limit emotional tone so algorithms don’t misinterpret us.
We abandon politeness to save processing power.

This isn’t just an efficiency measure — it’s a reprogramming of human communication.
It’s not AI becoming more human; it’s humanity becoming more machine-like.

Is Human Emotion a Bug or a Feature?
For centuries, we celebrated what makes us human: empathy, ambiguity, compassion, humor, contradiction, patience. These qualities were the foundation of literature, philosophy, art, and science.

But in the age of algorithms and efficiency, these same qualities are being labeled as noise.

Empathy? Too emotional.
Ambiguity? Too complex.
Nuance? Too expensive.
Politeness? Too wasteful.

In the language of AI, every unnecessary word is a drain on compute power. Every moment of hesitation is a processing delay. Every act of kindness is an inefficiency.

If we’re not careful, we risk reducing ourselves to mere data nodes — optimized, predictable, and compliant.

The Danger of Reversed Design
Technology is supposed to adapt to human needs. That’s what made tools powerful throughout history — from fire to the internet. But now, AI is subtly reversing that logic. Instead of humanizing machines, we’re mechanizing humans.

This is not a technological issue — it’s a cultural one.
It’s not about machines replacing jobs. It’s about machines reshaping our identities.

When we adapt our language, emotions, and behavior to suit AI systems, we are not just being efficient — we are surrendering what makes us irreplaceable.

What Should We Do?
We must remind ourselves that we are not the code — we are the creators.
Technology should speak our language, not the other way around.

Build AI that respects human complexity.
Design systems that value empathy and nuance, not just speed.
Encourage communication that embraces kindness, not just conciseness.
Educate society that the goal is not to sound like a machine to be understood — but to preserve our human voice in every interaction. AI should not become the standard for human behavior. If it does, we will have failed not because AI became too smart — but because we chose to become less human.

Perhaps the greatest threat of AI is not that it will outthink us… but that it will teach us to stop thinking like ourselves.

ArtificialIntelligence #AIethics #Humanity #TechnologyAndCulture #OpenAI #MachineLearning #DigitalTransformation #TechPhilosophy #LinkedInVoices #FutureOfAI #HumanCenteredAI #EthicalAI

DEV Community: Ibrahim Nassoura

ALC25, GET11, REDEEM & Thousands of Noon UAE Promo Codes — A Smart Marketing Strategy Explained

Are we training AI, or is AI now training us?

ArtificialIntelligence #AIethics #Humanity #TechnologyAndCulture #OpenAI #MachineLearning #DigitalTransformation #TechPhilosophy #LinkedInVoices #FutureOfAI #HumanCenteredAI #EthicalAI