Why is human thought so hard to replicate? — Information processing model of the mind
Onur Yüce Gün, PhD
Director of Computational Design at New Balance | 100X Lecturer and Keynote Speaker in Computational Design and AI
AI processes information, but how about our minds?
AI's quest to replicate human thought is a journey of profound complexity. Our understanding, deeply rooted in the Information Processing Model (IPM), paints a picture of the mind as a computational marvel, processing and storing information like a computer. This model breaks down mental processes into stages - perception, attention, working memory, and long-term memory - framing our minds as intricate networks of information flow.
However, this viewpoint, while insightful, hits a barrier. The reliance on symbols to represent our rich and multifaceted world and the true depth of human intelligence has always been a short-sighted approach. These symbols, whether verbal or visual, grapple with ambiguity, struggling to capture the intricate tapestry of reality.
This limitation in AI systems, stemming from the Information Processing Model, becomes apparent when considering human cognition's holistic nature. Unlike AI, our minds operate not just on information but on meaning, intertwining our physical bodies and environment into our thought processes.
In response to these challenges, AI research is pivoting, drawing from diverse fields like neuroscience and psychology, moving beyond the constraints of traditional symbolic approaches.
Yet, despite significant advancements, AI remains a distant echo of human intelligence. Our ability to intuit, to grasp context and nuance, still eludes the cold precision of algorithms. However, this gap should present an opportunity, as it invites us to explore the human aspects of ontology, pushing us to evolve beyond the Information Processing Model while retaining its valuable insights.
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What will it take us to discover what truly resides in the inner workings of our minds, under our skins, beyond the horizons of our consciousness?
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10 个月So many deep and insightful questions have been brought up with this technology. I agree with your thought - it's a deeper dive into understanding ourselves. I believe this contrast you mention is an important one to navigate. Meeting in the middle is in my opinion the best place to be. Going to far can cause us to lose our richness in efforts to coexist with AI that doesn't (yet) understand it.