The Future Is at Risk
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As artificial intelligence accelerates, what are we being asked to trade?
Gregg Braden breaks down AI from the ground up, tracing its origins from Alan Turing (1936) through modern large language models. He explains how AI functions through hardware, firmware, and software, emphasizing that it processes information, but cannot connect to the quantum field the way human biology can.
Referencing a 2025 University of Toronto study, he highlights how repeated AI use reduces creativity and cognitive diversity. He also explains how AI operates through pattern recognition and confirmation bias, not true awareness.
The core question shifts from capability to consequence: what happens when human intelligence is replaced rather than supported?
In this episode, you will: ✓ Understand how AI systems actually function ✓ Identify the cognitive effects of AI dependency ✓ Evaluate the trade-offs between machine intelligence and human capability