• The Battle Over Ghibli’s Artistic Style in AI Generation

    The recent viral phenomenon of ChatGPT generating images in Studio Ghibli’s distinctive style has raised serious questions about whether OpenAI trained its image generation models on copyrighted Ghibli content without permission. While there is no definitive confirmation, evidence points to a complex situation with significant copyright implications. The Conflicting Policies Within OpenAI One of the…


  • Lessons from Old Hollywood: How Regulation Fuels AI Creativity

    ….and stop winging. I am getting sick and tired of AI Vendors moaning and complaining. They cry in their lattes about regulations and compliance inhibiting innovation and competitiveness. We just have to look at how entire industries in the past managed to create and innovate under very strict regulations and laws. In the Zoom calls…


  • Cognitive Impact Protocol: Get One Now!

    The Double-Edged Algorithm: Preserving Human Cognition in the Age of Generative AI Have you heard of the term Cognitive Impact Protocol? Well you should; as this has a major negative impact on how productive your knowledge workers will be. As we navigate the transformative landscape of generative AI, a paradox emerges: while AI enhances productivity,…


  • Evaluating AI Vendors: A Strategic Guide Part 2

    When evaluating AI vendors, we must look beyond flashy demos and buzzwords (AI FOMO more on this later). Technical expertise is paramount, but equally crucial is the vendor’s ability to align with your specific business needs and industry challenges. You should seek partners who not only possess cutting-edge AI capabilities but also demonstrate a deep…


  • The Rise of Agentic AI: Navigating the Future of Autonomous Systems

    Agentic AI, what’s the deal? These systems are designed to operate with a degree of autonomy, enabling them to achieve specific goals independently. This shift towards Agentic AI is changing the way businesses and technologies operate. It provides many benefits and presents unique challenges. In this post, we will explore the concept of Agentic AI.…


  • Hold on to your AI Guardrails!

    AI Guardrails: Ensuring Ethical and Responsible Innovation Artificial intelligence continues to transform various industries. It also reshapes daily life. Therefore, the necessity for robust ethical safeguards has become apparent. AI guardrails have emerged as a critical component in the responsible development and deployment of AI technologies. Guardrails comprise a collection of mechanisms and frameworks designed…


  • Why Small Language Models Are the Future of AI

    The great thing about AI is that nothing stays constant. Case in point models and model choice. Sustainability and cost are causing AI to undergo a significant transformation. with small language models (SLMs) are emerging as a critical component in the quest for efficient, cost-effective, and environmentally sustainable AI solutions. Unlike their large language model…


  • AI Agents – Why the Buzz?

    AI Agents vs. Large Language Models (LLMs) – Understanding the Differences and Implications The rapid evolution of artificial intelligence (AI) has led to the emergence of two distinct concepts: AI agents and Large Language Models (LLMs). While both are integral to modern AI applications, they serve different purposes and have distinct characteristics. This article aims…


  • The Rise of Better AI Models on the Horizon

    The landscape of artificial intelligence is undergoing a significant transformation with the emergence of a new class of generative AI models that leverage mathematical reasoning to correct themselves and prevent hallucinations. This shift marks a critical departure from the current generation of models, which, despite their impressive capabilities, are plagued by the problem of hallucinations—instances…


  • Update: Model Choice and Deprecation Planning

    Selecting the right Large Language Model (LLM) for your organization is a critical decision that can significantly impact your AI strategy and outcomes. As the field of AI rapidly evolves, it’s essential not only to choose wisely but also to plan for model deprecation. Here’s a comprehensive approach to tackle both challenges. Choosing the Right…