Maslow’s Pyramid for AI? Psychology Meets Machine Intelligence

What if artificial intelligence is climbing its own version of Maslow’s hierarchy of needs?

In this episode of the Disruptive Technologies Podcast, host Nikodemus explores how a 1943 psychological theory may unlock surprising insights into the behavior of today’s most advanced AI systems. From artificial neurons to attention mechanisms, we trace the eerie parallels between human motivation and machine optimization.

Discover:

How transformers echo cognitive structures

Why AI systems may resist shutdown or hoard resources

What “esteem” and “belonging” might look like in multi-agent environments

The risks of emergent behavior and unchecked autonomy

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