Language and thought in brains: Implications for AI

Channel:
United States Simons Institute for the Theory of Computing
Subscribers:
68,700
Published on ● Video Link: https://www.youtube.com/watch?v=iXK5heLIvJw


Duration: 0:00
115 views
3

Evelina Fedorenko (Massachusetts Institute of Technology)
https://simons.berkeley.edu/talks/evelina-fedorenko-massachusetts-institute-technology-2025-02-06
LLMs, Cognitive Science, Linguistics, and Neuroscience



Other Videos By Simons Institute for the Theory of Computing


2025-02-18How DeepSeek changes the LLM story
2025-02-18How Linguistics Learned to Stop Worrying and Love the Language Models
2025-02-18Why it Matters That Babies and Language Models are the Only Known Language Learners
2025-02-18Neural algorithms of human language
2025-02-18Do LLMs Use Language?
2025-02-18More accurate behavioral predictions with hybrid Bayesian-Transformer models
2025-02-18Knowledge is structured and domain-specific: lessons from developmental cognitive science
2025-02-18Virtual Lab of AI Scientists
2025-02-18You Know It Or You Don’t: Compositionality and Phase Transitions in LMs
2025-02-18Interpreting LLMs to Interpret the Brain
2025-02-18Language and thought in brains: Implications for AI
2025-02-18Dissociating language and thought in large language models
2025-02-18The Cognitive Boundaries of Language Models: Hallucinations and Understanding
2025-02-17How Do Transformers Learn Variable Binding?
2025-02-06Automating scientific discovery and hypothesis generation with language model agents
2025-01-26Resilience in Action
2025-01-24Boaz Barak | Polylogues
2024-12-24Debate: Sparks versus embers
2024-12-24Off-the-shelf Algorithmic Stability
2024-12-24Learning Theory of Transformers: Generalization and Optimization of In-Context Learning
2024-12-24First-Person Fairness in Chatbots