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Stevan Harnad: AI's Symbol Grounding Problem

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In episode 88 of The Gradient Podcast, Daniel Bashir speaks to Professor Stevan Harnad.

Stevan Harnad is professor of psychology and cognitive science at Université du Québec à Montréal, adjunct professor of cognitive science at McGill University, and professor emeritus of cognitive science at the University of Southampton. His research is on category learning, categorical perception, symbol grounding, the evolution of language, and animal and human sentience (otherwise known as “consciousness”). He is also an advocate for open access and an activist for animal rights.

Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (05:20) Professor Harnad’s background: interests in cognitive psychobiology, editing Behavioral and Brain Sciences

* (07:40) John Searle submits the Chinese Room article

* (09:20) Early reactions to Searle and Prof. Harnad’s role

* (13:38) The core of Searle’s argument and the generator of the Symbol Grounding Problem, “strong AI”

* (19:00) Ways to ground symbols

* (20:26) The acquisition of categories

* (25:00) Pantomiming, non-linguistic category formation

* (27:45) Mathematics, abstraction, and grounding

* (36:20) Symbol manipulation and interpretation language

* (40:40) On the Whorf Hypothesis

* (48:39) Defining “grounding” and introducing the “T3” Turing Test

* (53:22) Turing’s concerns, AI and reverse-engineering cognition

* (59:25) Other Minds, T4 and zombies

* (1:05:48) Degrees of freedom in solutions to the Turing Test, the easy and hard problems of cognition

* (1:14:33) Over-interepretation of AI systems’ behavior, sentience concerns, T3 and evidence sentience

* (1:24:35) Prof. Harnad’s commentary on claims in The Vector Grounding Problem

* (1:28:05) RLHF and grounding, LLMs’ (ungrounded) capabilities, syntactic structure and propositions

* (1:35:30) Multimodal AI systems (image-text and robotic) and grounding, compositionality

* (1:42:50) Chomsky’s Universal Grammar, LLMs and T2

* (1:50:55) T3 and cognitive simulation

* (1:57:34) Outro

Links:

* Professor Harnad’s webpage and skywritings

* Papers:

* Category Induction and Representation

* Categorical Perception

* From Sensorimotor Categories to Grounded Symbols

* Minds, machines and Searle 2

* The Latent Structure of Dictionaries


Get full access to The Gradient at thegradientpub.substack.com/subscribe
  continue reading

130 episoade

Artwork
iconDistribuie
 
Manage episode 375760145 series 2975159
Content provided by The Gradient. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Gradient or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

In episode 88 of The Gradient Podcast, Daniel Bashir speaks to Professor Stevan Harnad.

Stevan Harnad is professor of psychology and cognitive science at Université du Québec à Montréal, adjunct professor of cognitive science at McGill University, and professor emeritus of cognitive science at the University of Southampton. His research is on category learning, categorical perception, symbol grounding, the evolution of language, and animal and human sentience (otherwise known as “consciousness”). He is also an advocate for open access and an activist for animal rights.

Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub

Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (05:20) Professor Harnad’s background: interests in cognitive psychobiology, editing Behavioral and Brain Sciences

* (07:40) John Searle submits the Chinese Room article

* (09:20) Early reactions to Searle and Prof. Harnad’s role

* (13:38) The core of Searle’s argument and the generator of the Symbol Grounding Problem, “strong AI”

* (19:00) Ways to ground symbols

* (20:26) The acquisition of categories

* (25:00) Pantomiming, non-linguistic category formation

* (27:45) Mathematics, abstraction, and grounding

* (36:20) Symbol manipulation and interpretation language

* (40:40) On the Whorf Hypothesis

* (48:39) Defining “grounding” and introducing the “T3” Turing Test

* (53:22) Turing’s concerns, AI and reverse-engineering cognition

* (59:25) Other Minds, T4 and zombies

* (1:05:48) Degrees of freedom in solutions to the Turing Test, the easy and hard problems of cognition

* (1:14:33) Over-interepretation of AI systems’ behavior, sentience concerns, T3 and evidence sentience

* (1:24:35) Prof. Harnad’s commentary on claims in The Vector Grounding Problem

* (1:28:05) RLHF and grounding, LLMs’ (ungrounded) capabilities, syntactic structure and propositions

* (1:35:30) Multimodal AI systems (image-text and robotic) and grounding, compositionality

* (1:42:50) Chomsky’s Universal Grammar, LLMs and T2

* (1:50:55) T3 and cognitive simulation

* (1:57:34) Outro

Links:

* Professor Harnad’s webpage and skywritings

* Papers:

* Category Induction and Representation

* Categorical Perception

* From Sensorimotor Categories to Grounded Symbols

* Minds, machines and Searle 2

* The Latent Structure of Dictionaries


Get full access to The Gradient at thegradientpub.substack.com/subscribe
  continue reading

130 episoade

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