
Brain Space Time Podcast
#8 Uri Hasson: Language in the real world for brains and AI
Dec 13, 2023
Neuroscientist Uri Hasson discusses the neural basis of natural language acquisition and processing. Topics include temporal receptive windows, Wittgenstein, evolution, ChatGPT, transformers, multimodal integration, episodic memory, interactive sociality, and understanding in neuroscience/AI.
56:54
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Quick takeaways
- Understanding behavior can be achieved through surface-level observations and statistical analysis, rather than relying solely on internal mechanisms or storytelling.
- Incorporating multimodal integration, episodic memory, and interactive sociality is crucial for developing comprehensive and realistic cognitive models in AI and neuroscience.
Deep dives
The Surface Model of Behavior
The speaker discusses the idea that understanding behavior does not require looking inside, but rather focusing on surface-level observations. The gradual process of building models helps to explain behavior and can provide better explanations than relying solely on storytelling or simplistic parameters. The speaker highlights the importance of using statistics to understand behavior, both as a listener and as a speaker.
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