Published Feb 11, 2023

#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy

Professor Edward Grefenstette delves into the intricacies of AI's cognition, comparing it to human intelligence, while addressing challenges like model unpredictability and language semantics, advocating for hybrid solutions to enhance AI reliability and understanding.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Machine Learning Street Talk (MLST)

#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy

Topics covered

Popular Clips

Neural Network Challenges

Language Model Conceptual Abstraction

Evolution of Intelligence

Knowing vs. Thinking

Spectrum of Intelligence

Reinforcement Learning Discussion

Neural Agents' Rationale

Understanding Human Perception

Exploring Differential Semantics

Language Models Alignment

Language Model Training

Common Sense in AI

Code Modeling Insights

Hybridization in Machine Learning

Episode Highlights

Intelligence and Agency

Model Challenges

Semantics and Philosophy

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#107 - Dr. RAPHAËL MILLIÈRE - Linguistics, Theory of Mind, Grounding

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#98 - Prof. LUCIANO FLORIDI - ChatGPT, Superintelligence, Ethics, Philosophy of Information

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#103 - Prof. Edward Grefenstette - Language, Semantics, Philosophy

Topics covered

Popular Clips

Episode Highlights

Intelligence and Agency

Model ChallengesEdward Grefenstette explores the challenges of neural network unpredictability, focusing on the Swiss cheese problem and hallucination issues. He advocates for hybrid models and retrieval-augmented approaches to enhance reliability and decision-making.

Model Challenges

Semantics and PhilosophyEdward Grefenstette, Head of Machine Learning at Cohere, explores the complexities of language semantics in AI. He discusses differential semantics, Montaguan semantics, and the role of pragmatics, offering insights into how AI models interpret and generate language.

Semantics and Philosophy

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