Join us as we explain Agentic AI in detail, contrasting it with traditional AI interactions that resemble trying to write an essay without ever pressing the backspace key. Discover how Agentic AI, similar to human problem-solving, involves planning, research, drafting, and revisioning.

We define the fundamental building blocks – AI agents, which are like specialists with specific roles and functions. Then, we'll delve into Agentic AI itself, the overarching system where these agents collaborate to achieve complex goals, much like a team of writers, editors, and fact-checkers working together.

Understand the key characteristics of Agentic AI, including its iterative and collaborative nature, enabling it to tackle much more complex tasks by dividing them among specialized agents.

We will also gaze into the future, exploring the short-term and long-term projections for Agentic AI. From near-term productivity boosts in areas like software development to the potential for highly autonomous AI systems handling complex research and creative endeavors, we'll discuss the profound impact Agentic AI could have on how we interact with technology.

Prepare to have your expectations of AI challenged as we uncover the collaborative future of artificial intelligence.

Get more episodes at https://www.youtube.com/@pottersquill  

Keywords: AI, Artificial Intelligence, LLMs, Large Language Models, AI Consciousness, Machine Thinking, AI Understanding, Philosophy of AI, Chinese Room Argument, John Searle, Self-Awareness, Machine Learning, Deep Learning, Technological Singularity, AI Limitations, Genuine Intelligence, Simulated Intelligence, AI Ethics, Future of AI, Apple AI Research, Symbolic Reasoning, Syntax Semantics.