Dulan Dias

  • Why Do Multi-Agent AI Systems Keep Failing? A Look Into the Latest Research

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    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.

  • SEO Is Changing—Are You Keeping Up?

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    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…

  • 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.

  • 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…

  • Effective Marketing Strategies for SaaS-Based Platforms in 2025

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    The SaaS industry is more competitive than ever, making it essential for businesses to implement strategic marketing approaches to attract, convert, and retain customers. This article explores the best SaaS marketing strategies for 2025, including content marketing, product-led growth, paid advertising, conversion rate optimization, and customer retention techniques.

  • Janashakthi x EchonLabs: A Blueprint for Reviving Sri Lanka’s IT Industry Through Collaboration

    Sri Lanka’s IT industry is at a turning point, and the only way forward is through innovation, collaboration, and an export-first mindset. This is the story of how a bold partnership between Janashakthi Insurance PLC and EchonLabs—a corporate giant and a young startup—proved that when big businesses invest in local talent, real transformation happens. From…

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  • Understanding Large Language Models (LLMs): The Basics of Their Math, Training, and Inference

    Large Language Models (LLMs) have transformed the world of artificial intelligence, enabling machines to generate human-like text, answer questions, and even write code. But how do they actually work? This article breaks down the key concepts behind LLMs in a way that is easy to understand, with just enough math to show how things come…

  • The Role of Generative AI in LegalTech

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    Generative AI is revolutionizing the legal industry by automating tasks such as legal research, contract drafting, and litigation support. Its applications lead to increased efficiency, accuracy, and access to legal services, while also presenting challenges like ethical concerns and regulatory issues. Despite these hurdles, AI’s integration is set to reshape legal practices significantly.

  • The Quest for AGI: Towards Artificial General Intelligence

    Artificial General Intelligence (AGI) denotes a hypothetical AI with human-like cognitive abilities, capable of solving diverse problems autonomously. Its attainment poses significant technical and ethical challenges, reflecting debates on consciousness and alignment with human values. While progress in AI continues, true AGI remains uncertain, potentially decades away or evolving gradually.

  • The Future of Artificial Intelligence

    Artificial Intelligence is rapidly evolving, particularly through advancements in generative AI, large language models (LLMs), and autonomous AI agents. These innovations are reshaping industries by automating tasks, enhancing productivity, and augmenting human capabilities. However, limitations exist, such as biases and inaccuracies, necessitating careful integration and oversight. A balanced approach can maximize benefits while mitigating risks.