AI Consciousness Is Getting Complicated: Robots, Reasoning & Three Connected Brains
Can artificial intelligence actually think, feel, or become conscious? And what happens if we're wrong about the answers?
This week on Dylan Curious, we're exploring the increasingly strange relationship between human intelligence, artificial intelligence, and the boundaries separating them.
We begin with Figure AI's dramatic, Terminator-inspired retirement of its older humanoid robots. Watching a robot descend toward molten metal raises an unexpected question: why do we sometimes feel sympathy for machines?
Then we meet Argus, an unusual spherical robot with 20 articulated legs that can navigate challenging environments.
From there, we dive into one of the biggest philosophical debates in artificial intelligence.
Microsoft is taking a firm position that its AI systems should not claim to have feelings or subjective experiences. But could teaching AI to deny consciousness make it harder to recognize if genuine machine experience ever emerges?
We also explore the argument that large language models really do reason, including research showing how AI develops internal representations of the world.
And what should society make of Sam Altman's argument that some harmful outcomes from AI may be unavoidable, provided we prevent catastrophic consequences?
Meanwhile, researchers have discovered that people compensate female-presenting AI assistants less than identical male-presenting assistants. We examine what this reveals about human bias and how increasingly capable AI systems may affect our own sense of purpose and relevance.
Finally, we explore an extraordinary experiment involving three connected human brain organoids. Researchers observed learning-related responses in the connected trio that weren't found in individual organoids or pairs.
The experiment doesn't establish consciousness, but it raises fascinating questions about how intelligence can emerge from interconnected biological systems.
From humanoid robots to artificial minds and biological neural networks, we're confronting a future where the definition of intelligence may become much more complicated.
Maybe the biggest question isn't whether AI will become more like us. It's whether we're ready to reconsider what makes us human.
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