DoT Blog

  Credit: MrWashingt0n on Pixabay If you’ve been in tech long enough, you eventually realize that the universe is held together by two things: duct tape and Murphy’s Law.  Years ago, I wrote the “Murphy’s BI Laws,” which sadly still hold true (and in my view, remain truer with each release cycle). Now that we’ve entered the AI-everywhere era, where everything from your fridge to your accounting system thinks it’s a master philosopher, it’s time to face the truth:  Murphy followed us into AI, and he’s having the time of his life. So, here are the brand-new, fully field-tested Murphy’s AI Laws, written with love, pain, and several hours lost talking to a chatbot that insisted 2 + 2 “felt like 5.” 1. If an AI system can hallucinate, it will, and at the worst possible moment. Corollary : The confidence level of the hallucination will rise in direct proportion to the importance of the meeting where it is presented.   2. Any AI model you deploy is obsolete the moment you p...

  Image by Negative Space  (Pexels) Ok, so generative AI continues to dominate headlines, but what’s more telling is how quickly it’s cementing itself in real business strategies. Well, according to a recent Yahoo Finance report , the global chatbot market is expected to hit $15.5 billion by 2028, driven largely by the ubiquity of conversational AI tools. The numbers themselves are striking, but even more so is what they represent: a shift from AI as an “innovation experiment” to AI as a structural pillar of modern organizations. Customer service, sales enablement, and education are just a few of the areas being reshaped by chatbots and conversational platforms. In many ways, the chatbot market is just the tip of the iceberg. Recent surveys suggest that 95 percent of U.S. companies already use generative AI in some capacity, and production-level use cases have doubled in a short timeframe. We no longer talk about cautious pilots in innovation labs; we’re seeing generative AI t...

  Image courtesy of OpenAI On January 23, 2025, OpenAI unveiled its Operator project , an advanced AI agent designed to autonomously perform tasks on the web, marking a significant milestone in artificial intelligence development and taking the company on a path to expand its offerings into the fast-growing market of AI agents. Understanding Operator Operator is a research preview of OpenAI's so-called Computer-Using Agent (CUA) model, which combines GPT-4o's vision capabilities along with advanced reasoning through reinforcement learning to interpret screenshots and interact with graphical user interfaces (GUIs)—the buttons, menus, and text fields people see on a computer screen—just as human users do. This capability allows Operator to automate various tasks—like filling out forms, booking travel, or even creating memes—by remotely interacting with a web browser as a person would, via mouse clicks, scrolling, and typing. Key Features and Capabilities The design of OpenAI’s ne...