Welcome to another AI Consultant podcast investigating the fascinating, often hyped, world of Artificial General Intelligence, or AGI. Every week, it seems there's a new headline about an incredible AI breakthrough, prompting the question: Is full-blown, truly human-level AGI just around the corner?

In this episode, we're cutting through the noise to explore the significant hurdles, both practical and philosophical, that stand in the way of achieving true human-level AGI in the near future. We've synthesized invaluable insights from experts like Oli Sharpe, an AI expert with a PhD, who offers a pragmatic view on the economic and societal challenges, and JT, a systems consultant providing a fundamental systems science perspective on the inherent limits of AI.

We'll unpack six key issues that paint a much clearer picture of why AGI isn't simply a matter of scaling up current technology. From the colossal material demands of computing and data, to fundamental differences in how AI learns versus humans, and even profound questions about the societal acceptance of autonomous, agentic AI, these insights will transform your understanding of the future trajectory of AI development.

Join us as we look into the unseen barriers to true AGI, exploring why the path to genuinely human-level artificial general intelligence is more complex, costly, and perhaps, more distant than commonly imagined.

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.