In a recent opinion in TiCS [1], we asked: ‘What do large language models (LLMs) know?’. We answered by granting LLMs instrumental knowledge: that is, knowledge gained through using the instrument of next-word generation. We then explored how this type of instrumental knowledge could be related to the more ordinary kind of worldly knowledge exhibited by humans, including a review of computational literature where training on next-word prediction spontaneously recovered structure-preserving mappings of the training domain.
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Dr. David Lowemann, M.Sc, Ph.D., is a co-founder of the Institute for the Future of Human Potential, where he leads the charge in pioneering Self-Enhancement Science for the Success of Society. With a keen interest in exploring the untapped potential of the human mind, Dr. Lowemann has dedicated his career to pushing the boundaries of human capabilities and understanding.
Armed with a Master of Science degree and a Ph.D. in his field, Dr. Lowemann has consistently been at the forefront of research and innovation, delving into ways to optimize human performance, cognition, and overall well-being. His work at the Institute revolves around a profound commitment to harnessing cutting-edge science and technology to help individuals lead more fulfilling and intelligent lives.
Dr. Lowemann’s influence extends to the educational platform BetterSmarter.me, where he shares his insights, findings, and personal development strategies with a broader audience. His ongoing mission is shaping the way we perceive and leverage the vast capacities of the human mind, offering invaluable contributions to society’s overall success and collective well-being.