The Future of AI

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I wonder if you can capture the trajectory of that to where the AI could also map forward, project forward the trajectory after you're no longer there. How the different ways you might evolve. So basically right now it's these language models and we believe that within their parameters we're encoding these types of things. And in some aspects it might be true. It might be truly emergent intelligence that's coming out of that. In other aspects, I think we have a ways to go.

Manolis Kellis is a computational biologist at MIT. Please support this podcast by checking out our sponsors:
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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:44) – Humans vs AI
(15:50) – Evolution
(37:34) – Nature vs Nurture
(50:03) – AI alignment
(56:27) – Impact of AI on the job market
(1:08:06) – Human gatherings
(1:13:07) – Human-AI relationships
(1:23:11) – Being replaced by AI
(1:35:37) – Fear of death
(1:47:33) – Consciousness
(1:54:58) – AI rights and regulations
(2:00:41) – Halting AI development
(2:13:52) – Education
(2:19:16) – Biology research
(2:26:36) – Meaning of life
(2:29:09) – Loneliness