Cognitive Science and AI

Anna discusses how insights from cognitive science inform the understanding of large language models, emphasizing the distinction between formal and functional competence. She shares her excitement about developing cognitively informed benchmarks to compare human and machine performance, exploring how both exhibit strengths and weaknesses in various tasks. The conversation highlights the potential for deeper insights into both AI systems and human cognition through this comparative research.

In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - 620
Related Questions
- What will be the next development in AI, specifically regarding large language models and their reasoning ability, as discussed in the episode Language Understanding and LLMs with Christopher Manning - 686 and the clip Reasoning in AI? Will the improvement of reasoning ability provide more help in the next step, as discussed in The Future of Machine Learning, Deep Learning and Computer Vision with Thomas Dietterich and the clip Optimizing Problem Formulation?

Cognitive Science and AI

In this clip

From this podcast

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - 620

Related Questions