Machine Mentalizing Interpretations
Daniel and Cameron discuss the challenges of interpreting machine mentalizing abilities, exploring the concept of differential construct validity and its implications for tasks designed for humans versus machines. They delve into the complexities of attributing mental states to artificial intelligence systems and the instrumental value of such constructs.In this clip
From this podcast
The Gradient
Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs
Related Questions
Can large language models replicate human behavior as discussed in Mindscape 292 | Jonathan Birch on Animal Sentience and in the episode Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs and the clip Unraveling Model Interpretability?
What are some theories of the mind as discussed in the episode Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs and the clip Theory of Mind Experiments?