In their recent Opinion in TiCS [1], Yildirim and Paul propose that large language models (LLMs) have ‘instrumental knowledge’ and possibly the kind of ‘worldly’ knowledge that humans do. They suggest that the production of appropriate outputs by LMMs is evidence that LLMs infer ‘task structure’ that may reflect ‘causal abstractions of… entities and processes in the real world’ [1]. While we agree that LLMs are impressive and potentially interesting for cognitive science, we resist this project on two grounds.
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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.