Episode notes
What does ChatGPT think? Today, we immerse ourselves in the fascinating debate surrounding the reasoning capabilities of large language models (LLMs) like GPT-4. Recent advancements in AI have raised hopes that these models can perform complex reasoning tasks However, a new scientific paper ("GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models") challenges this perception, arguing that much of AI’s apparent reasoning success is due to the similarity between training and testing data. The researchers propose a new, more rigorous benchmark that seeks to test true reasoning by ensuring the testing data differs significantly from what the model has encountered during training.
We discuss the findings of this groundbreaking research, exploring how AI’s reasoning abilities falter when fa ...