Dulan Dias
-
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.
Written by
-
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.
Written by
-
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,…
Written by
-
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.
Written by
-
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.
Written by
-
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.
Written by
-
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.
Written by
-
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…
Written by
-
Microsoft’s TypeScript Compiler Goes Native – What It Means for Angular, TypeScript, and Node.js Development
Microsoft is rewriting the TypeScript compiler (tsc) in Go, promising 10x faster builds, lower memory usage, and reduced dependency on Node.js. This is a game-changer for Angular, TypeScript, and Node.js developers, significantly improving development speed and efficiency.
Written by
-
Generative AI: A New Revolution Reshaping the World
Generative AI is reshaping our world in ways reminiscent of the Industrial Revolution. From automating routine tasks and transforming job roles to revolutionizing the IT landscape and empowering solo entrepreneurs to launch unicorn startups, this new era is redefining creativity and innovation. Dive in to discover how embracing AI could be your ticket to a…
Written by
