Dulan Dias
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This Shopify Memo is Going Viral—8 AI Truths That Will Reshape Every Company
Shopify’s leaked AI memo isn’t just a company directive—it’s a call to arms for every business leader. If you’re not thinking AI-first in how you hire, build, and scale, you’re already falling behind. Here’s a breakdown of the memo’s most urgent insights and how to act on them today.
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How I Built My Startup – Chapter 2
In the last chapter, I shared how a humble conversation in a university boarding room sparked the idea that would become EchonLabs. But what happened next? Some secrets are finally being revealed in this chapter—including things I’ve never shared before.
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How I Built My Startup – Chapter 1
It didn’t start in a boardroom. There were no pitch decks, no business plans. Just two students, a shared passion, and a tiny boarding room near university. This is where the EchonLabs story begins—from curiosity to creation.
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Ghibli-Style: How One Magical Look Captured the Internet’s Imagination
With soft brushstrokes, dreamy colors, and heart-tugging nostalgia, Ghibli-style art has taken the internet by storm. But what exactly is “Ghibli-style,” and why did it melt OpenAI’s servers? Here’s a look into the origins, the viral trend, and the whimsical magic behind it all.
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DeepSeek: The Quiet Math Tweak That Might Redefine the AI Future
It didn’t arrive with fireworks or fanfare. DeepSeek slipped into the scene with a simple mathematical change—and suddenly, it was the name on everyone’s lips. But what’s really behind the hype? Let’s unpack how a humble paper sparked global buzz, and what it means for the future of AI, geopolitics, and the race for smarter,…
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Attention is All You Need – The Paper That Changed AI Forever
Before 2017, AI models were powerful but painfully slow and complicated. Then came a research paper titled “Attention is All You Need”—a game-changer that flipped everything we knew about AI on its head. Here’s how it reshaped the future in the simplest way possible.
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UI-R1: Teaching AI to Navigate Your Screen Like a Pro
What if your phone could predict your next tap or swipe? UI-R1, a new AI model trained with reinforcement learning, is bringing us closer to smarter, more intuitive virtual assistants. By learning from visuals and language—not just massive datasets—UI-R1 shows how AI can interact with real-world mobile apps more accurately and efficiently.
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How Do Language Models Learn Facts? Inside the Mysterious Memory of AI
How do large language models actually learn facts? A new study by Google DeepMind and ETH Zürich uncovers a surprising three-phase process—from slow starts to sudden insights and unexpected memory loss. These findings reveal why your AI assistant sometimes nails the answer—and sometimes confidently makes things up.
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Why Do Multi-Agent AI Systems Keep Failing? A Look Into the Latest Research
Multi-Agent AI Systems promise intelligent collaboration between agents, but why do they so often underperform? A new UC Berkeley study digs deep into the causes of these failures—highlighting critical design flaws, coordination issues, and verification challenges—and offers a roadmap for building better, smarter systems.
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SEO Is Changing—Are You Keeping Up?
SEO is evolving beyond Google. AI platforms like ChatGPT, Gemini, and Perplexity are now deciding which brands to mention in AI-generated answers—but the problem? You can’t track this traffic in Google Analytics. Welcome to the Invisible Traffic Revolution. This guide breaks down Generative Engine Optimization (GEO) and how to ensure AI platforms recognize and recommend…
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