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Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI

Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI

Lex Fridman Podcast vor 6 Jahren

0:00

1:25:09

Gary Marcus is a professor emeritus at NYU, founder of Robust.AI
and Geometric Intelligence, the latter is a machine learning
company acquired by Uber in 2016. He is the author of several
books on natural and artificial intelligence, including his new
book Rebooting AI: Building Machines We Can Trust. Gary has been
a critical voice highlighting the limits of deep learning and
discussing the challenges before the AI community that must be
solved in order to achieve artificial general intelligence. This
conversation is part of the Artificial Intelligence
podcast. If you would like to get more information about
this podcast go to https://lexfridman.com/ai or connect with
@lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube
where you can watch the video versions of these conversations. If
you enjoy the podcast, please rate it 5 stars on iTunes or
support it on Patreon. Here’s the outline with timestamps for
this episode (on some players you can click on the timestamp to
jump to that point in the episode):

00:00 – Introduction

01:37 – Singularity

05:48 – Physical and psychological knowledge

10:52 – Chess

14:32 – Language vs physical world

17:37 – What does AI look like 100 years from now

21:28 – Flaws of the human mind

25:27 – General intelligence

28:25 – Limits of deep learning

44:41 – Expert systems and symbol manipulation

48:37 – Knowledge representation

52:52 – Increasing compute power

56:27 – How human children learn

57:23 – Innate knowledge and learned knowledge

1:06:43 – Good test of intelligence

1:12:32 – Deep learning and symbol manipulation

1:23:35 – Guitar