What can neuroscience teach us about AI, and vice versa, what can AI teach us about our own intelligence? Joe and Rolf talk to returning guest Daniel Sternberg about advances in AI over the past year. Topics include using the methods of cognitive psychology to understand AI; representation in artificial intelligence; what current large language models  (LLMs) are good at and not good at; sentience in AI; the future of humanity; and other important stuff. Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research [https://www.sciencedirect.com/science/article/pii/S0893608021003683] (Macpherson, et al., 2021) Can AI language models replace human participants? [https://static1.squarespace.com/static/5e57f82eb306fc38c7637f33/t/6490afc6074d6e3982f6d049/1687203782514/can-AI-language-models-replace-human-participants.pdf] (Dillion, et al., 2023) Language models show human-like content effects on reasoning [https://stanford.edu/~jlmcc/papers/DasguptaLampinenEtAl22LMsShowHumanLikeContentEffectsInReasoning.pdf] (Dasgupta et al., 2022)