AI Traits & Evolution

INSTANT AI UPDATE 44 - MICROSOFT vs MACROHARD - A Real Challenge from xAI or a Muskian Fever Dream?   Elon Musk’s announcement of Macrohard, a fully AI-driven software company under the xAI umbrella, has ignited debate across the tech industry. Is Macrohard a serious threat to Microsoft’s decades-long dominance in enterprise software, or is it another ambitious, headline-grabbing Musk experiment with uncertain prospects?

The evolution of Artificial Intelligence (AI) into Artificial General Intelligence (AGI) has emerged as a key technological debate this year. As the line between narrow AI and AGI blurs, it is crucial to clarify definitions, examine the latest breakthroughs, assess expert predictions, and weigh the pros and cons of each paradigm.

The intersection of quantum computing and AI represents one of the most promising frontiers in computational science. As AI models grow in complexity and data requirements, classical computing approaches are reaching their practical limits. Quantum computing, leveraging the principles of quantum mechanics, offers a fundamentally new way to process information. 

AI anxiety refers to the apprehension, fear, or unease individuals or groups experience regarding the development, deployment, and societal impact of artificial intelligence technologies. This anxiety can manifest in various forms, including concerns over job displacement, privacy erosion, ethical dilemmas, loss of control, and existential risks. 

AI inbreeding occurs when models are trained on content generated by AI. Instead of learning from human data, they chew on their own outputs.

INSTANT AI UPDATE 31 - DEATH OF SEARCH IMMINENT - The announcement by Google product lead Logan Kilpatrick that  Google.com ’s classic search page, an iconic interface since 1997, will “soon” be replaced by AI Mode marks a watershed moment. As with all things AI, the speed of change is astounding. My thoughts follow:

This week Jonathan Kao and his UCLA-based team published exciting new findings in Nature Machine Intelligences that were also summarized in a companion article in Nature. 

Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else's likeness using AI algorithms, particularly deep learning techniques such as generative adversarial networks (GANs). Generative AI has ushered in a new era of media manipulation, with deepfake technology at the forefront.

By enabling robots to utilize cameras for visual training, MIT researchers are effectively granting AI systems a form of visual self-awareness. This development raises profound questions about the trajectory of AI and robotics, particularly regarding the concept of self-awareness, a trait long considered exclusive to biological organisms.

The AI Browser Wars are not a fad; instead, they represent a basic reordering of the internet’s value chain. The "answer first" paradigm is already eroding the traditional web “link first” traffic model, undermining the economics of content creation and forcing a radical rethink of SEO and digital advertising.

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.