What Do Our Machines Dream Of? Understanding Language Models and Their Reasoning Capabilities

Explore the fascinating world of artificial intelligence and language models in this thought-provoking lecture from the Santa Fe Institute. Delve into the inner workings of machine learning systems, examining their ability to reason, understand, and generate human-like responses. Investigate the concept of mental models in AI, analyzing experiments involving bicycles and consistency. Discover the extended architecture of language models and their capacity for chain-of-thought reasoning. Engage with demonstrations of question-answering capabilities, teaching functions, and mathematical operations. Critically examine failure modes and test questions to understand the limitations of these systems. Conclude by exploring belief graphs and organizational needs in the context of AI development.

Introduction
About the Allen Institute
Language Models
Understanding
Outline
Mental Models
Experiment
Bicycle
Consistency
Extended Architecture
Do Language Models Know How to Reason
Chain of Thoughts
Chain of Reasoning
Question Answering
Teach Me
Add
Demo
Failure modes
Test questions
Belief graphs
Summary
Conclusion
Organizational Needs