Max Tegmark: Language Models Understand Time and Space

Patreon: https://www.patreon.com/daveshap LinkedIn: https://www.linkedin.com/in/dave-shap-automator/ Consulting: https://www.daveshap.io/Consulting GitHub: https://github.com/daveshap Medium: https://medium.com/@dave-shap Papers referenced: Language Models Represent Space and Time - https://arxiv.org/abs/2310.02207v1 Beyond Surface Statistics: Scene Representations in a Latent Diffusion Model - https://arxiv.org/abs/2306.05720 Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task - https://arxiv.org/abs/2210.13382 Unveiling Theory of Mind in Large Language Models: A Parallel to Single Neurons in the Human Brain - https://arxiv.org/abs/2309.01660 Boosting Theory-of-Mind Performance in Large Language Models via Prompting - https://arxiv.org/abs/2304.11490 Tiny and Efficient Model for the Edge Detection Generalization - https://arxiv.org/abs/2308.06468 ART: Automatic multi-step reasoning and tool-use for large language models - https://arxiv.org/abs/2303.09014 Not referenced, but hilarious because Max Tegmark has the best paper titles: Omnigrok: Grokking Beyond Algorithmic Data - https://arxiv.org/abs/2210.01117v2