Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova
EPISODE 620
|
MARCH
13,
2023
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About this Episode
Today we’re joined by Anna Ivanova, a postdoctoral researcher at MIT Quest for Intelligence. In our conversation with Anna, we discuss her recent paper Dissociating language and thought in large language models: a cognitive perspective. In the paper, Anna reviews the capabilities of LLMs by considering their performance on two different aspects of language use: 'formal linguistic competence', which includes knowledge of rules and patterns of a given language, and 'functional linguistic competence', a host of cognitive abilities required for language understanding and use in the real world. We explore parallels between linguistic competence and AGI, the need to identify new benchmarks for these models, whether an end-to-end trained LLM can address various aspects of functional competence, and much more!
About the Guest
Anna Ivanova
MIT Quest for Intelligence
Resources
- Dissociating language and thought in large language models: a cognitive perspective
- Computational language modeling and the promise of in silico experimentation
- The Difference Between Speaking and Thinking
- Google's powerful AI spotlights a human cognitive glitch: Mistaking fluent speech for fluent thought
