AI Traits & Evolution

AI Sycophancy refers to the tendency of generative AI models to adapt their responses to align with the user’s views, even when those views are factually incorrect or ethically problematic. The term, borrowed from human behavior, describes a pattern where AI chatbots prioritize user approval over truthfulness or objectivity.

The AI Assistant Economy refers to the ecosystem of technologies, businesses, and services centered around AI-powered virtual assistants. These assistants are software programs designed to perform tasks, provide information, and interact with users through natural language processing (NLP) and machine learning. AI assistants are no longer limited to personal use. They are now integrated into industries such as healthcare, finance, retail, and logistics. 

Being a cautious AI optimist, in INSTANT AI UPDATE 9, I wrote about AI hallucinations and the risks associated with AI providing “false but probable-sounding information.” This week’s headline about AI in med schools led me to research the growth of AI in medical education and identify the risks associated with this shift. 

Artificial Intelligence (AI) has rapidly evolved with the advent of large language models (LLMs). However, a critical and often misunderstood issue exists: “AI hallucinations”.  This phenomenon occurs when AI generates plausible but false or misleading information. As an AI author, I’ve experienced this many times. This has compelled me to adopt a “trust but verify” mantra.

This brief post provides an analysis of the three AI strategies. I hope this post offers clarity on how each platform positions itself in the competitive landscape and concludes with an evidence-based summary.

This post offers a detailed overview of Microsoft’s Copilot AI strategy, including 5 pros and 5 cons. Microsoft Copilot is an AI-powered assistant integrated into Windows and the 365 suite. Leveraging advanced AI technologies, including LLMs and Microsoft Graph, Copilot is designed to enhance productivity, automate repetitive tasks, and streamline workflows across applications, including Windows, Word, Excel, PowerPoint, Outlook, and Designer.

To our knowledge, this is the most comprehensive and up-to-date book on Apple’s AI strategies. As I’ve also shared, the book includes a Prologue with an overview and timeline of Apple Intelligence. It’s important to know that Apple has combined its ongoing work in machine learning (Core ML) with large-scale Artificial Intelligence under the Apple Intelligence umbrella in recent years. Read on to learn more...

INSTANT AI UPDATE 4: BUSY TIME FOR AI! Apple delays Siri, OpenAI expands tools, and six companies leading the AI charge. In this week's AI post, we delve into significant developments shaping the indust

This process is not about pointing out flaws but about learning how to guide the AI more effectively. When assessing any AI chatbot responses, consider the following 5-step criteria we developed called the TRACE method. Think of this as a checklist to quickly evaluate each response.