Published Aug 4, 2023

Raphaël Millière: The Vector Grounding Problem and Self-Consciousness

Philosopher Raphaël Millière delves into the cognitive and philosophical challenges of AI, tackling the vector grounding problem and examining the intricate concepts of language grounding and self-consciousness in AI models, questioning whether these systems can truly mimic aspects of human cognition.

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Raphaël Millière: The Vector Grounding Problem and Self-Consciousness

Topics covered

Popular Clips

Consciousness in Language Models

Understanding Self Consciousness

Consciousness and Self-Consciousness

Disentangling Notions of Grounding

Generous Insights

Exploring Causal Informational Relations

Acquiring Meaningful Representations

Unconventional AI Thinking

Meaning in Language

Language Modeling and Contextuality

AI and Art

Exploring Gradations in Grounding

Language Models and Meaning

Exploring Grounding and Compositionality

Episode Highlights

AI Philosophical Exploration

Vector Grounding Problem

Self-Consciousness in AI

Related Episodes

Stevan Harnad: AI's Symbol Grounding Problem

Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs

Jacob Andreas: Language, Grounding, and World Models

Hugo Larochelle: Deep Learning as Science

Michael Levin & Adam Goldstein: Intelligence and its Many Scales

Harvey Lederman: Propositional Attitudes and Reference in Language Models

Yann LeCun on his Start in Research and Self-Supervised Learning

Manuel & Lenore Blum: The Conscious Turing Machine

Joanna Bryson: The Problems of Cognition

Terry Winograd: AI, HCI, Language, and Cognition

Ed Grefenstette: Language, Semantics, Cohere

Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science

François Chollet: Keras and Measures of Intelligence

David Pfau: Manifold Factorization and AI for Science

Peter Tse: The Neuroscience of Consciousness and Free Will

Raphaël Millière: The Vector Grounding Problem and Self-Consciousness

Topics covered

Popular Clips

Episode Highlights

AI Philosophical ExplorationRaphaël Millière examines the philosophical and cognitive dimensions of AI, focusing on the interplay between human cognition and AI models. He addresses the complexities of language grounding and the need for nuanced evaluations of AI's cognitive capacities.

AI Philosophical Exploration

Vector Grounding ProblemRaphaël Millière explores the vector grounding problem in AI, focusing on how language models can achieve referential grounding. He discusses philosophical theories and structured domains that enable these models to connect words to real-world references.

Vector Grounding Problem

Self-Consciousness in AIRaphaël Millière examines the complex nature of self-consciousness and its implications for AI. He challenges the assumption that consciousness inherently involves self-awareness, exploring how AI systems might mimic self-representation without genuine consciousness.

Self-Consciousness in AI

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