Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas 184 | Gary Marcus on Artificial Intelligence and Common Sense
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Feb 14, 2022 
In this engaging discussion, Gary Marcus, a cognitive scientist and AI researcher, explores the intricate limitations of artificial intelligence. He argues that while deep learning has made significant strides, it fails to achieve true common sense, which is essential for human-like understanding. Marcus advocates for blending traditional symbolic methods with modern AI techniques. The conversation also touches on the evolution of AI, the shortcomings of models like GPT-3, and the ethical considerations of programming AI with human values.
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Current AI Lacks General Intelligence
- Current AI excels in specific tasks but lacks general intelligence.
- Gary Marcus believes that overreliance on correlations hinders true understanding.
AI Vision Systems' Limitations
- AI vision systems are easily fooled by focusing on texture and probabilities.
- A firetruck on a snowy road was misidentified as a snowplow, highlighting this limitation.
Deep Learning's Strengths and Weaknesses
- Deep learning, the dominant AI approach, relies on statistical analysis of massive datasets.
- It excels at finding correlations but lacks a deeper understanding of the world.
