Opinion

Summary

What if AI isn’t just a tool but the foundation of how you work, create, and think?

Today there are two distinct ways to approach AI: +AI and AI+. +AI means integrating AI into an existing workflow, business, or process. It’s the approach discussed in countless books, YouTube videos, and business strategies. If you’re working, running a business, or earning money, this is the natural and logical way to use AI. But this post isn’t about that. Instead this post is about AI+ a radically different approach where AI is the foundation of everything you do.

Summary

Imagine a world where you simply think of a task, and invisible devices seamlessly execute it. In fact most of what used to be your daily tasks you won’t even think about they will be automatically executed. Sounds like science fiction? This I believe is the future of human technology interaction. The technology disappears behind an AI driven interface.

Do we currently have Artificial Intelligence

Artificial intelligence refers to computer programs designed to mimic human cognitive abilities, 
such as understanding natural language, recognizing patterns, learning from data, and solving complex problems.
While AGI aims to replicate general human intelligence, 
narrow AI focuses on excelling at specific tasks within predefined parameters.

A common debate in AI discourse revolves around whether large language models (LLMs) truly qualify as artificial intelligence or if they are merely sophisticated algorithms mimicking human-like behavior. While discussions about Artificial General Intelligence (AGI) a theoretical form of AI capable of replicating human cognition across all domains are intriguing, they distract from the practical applications of AI that already exist today. AGI may never materialize, not because it’s unachievable, but because it lacks practical utility. A godlike AI with unrestricted capabilities offers little tangible benefit compared to specialized narrow AI systems. Instead, what we have now is narrow AI, which excels at specific tasks and operates within defined parameters. This AI can get broader through the use of Agents and can automatically self improve and learn as I have shown in previous blog posts.