AI vs. Human Thinking: Cognition Comparison by IBM Technology
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In this riveting episode by IBM Technology, we dive headfirst into the mind-bending world of artificial intelligence versus human cognition. Are these AI models really thinking like us? The team dissects the intricacies of learning, processing, memory, reasoning, error, and embodiment to uncover the truth. Humans learn through neuroplasticity, adjusting neural networks based on experience, while AI models rely on backpropagation during training on millions of text examples. It's like comparing a brainiac to a supercharged computer running on overdrive.
When it comes to processing information, the human brain operates in parallel with billions of neurons firing away, while AI models work on a different level using sequences of discrete symbols called tokens. Humans have sensory, working, and long-term memory systems intertwined with meaning and emotion, whereas AI models store knowledge in their weights and a temporary context window. It's like comparing a Formula 1 car to a rocket ship - both fast, but in entirely different ways.
The battle of reasoning unfolds with humans engaging in conscious step-by-step thinking, while AI models generate token sequences that mimic reasoning without true comprehension. It's like pitting a chess grandmaster against a cleverly programmed computer - both strategic, but with distinct approaches. And let's not forget the notorious AI tendency to hallucinate, akin to human confabulations where false memories are unknowingly created. The difference in embodiment is stark - humans deeply influenced by physical interactions, while AI models exist as disembodied entities lacking common sense knowledge. It's like comparing a daredevil stunt driver to a virtual reality gamer - both thrilling, but one grounded in reality while the other floats in a digital realm.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
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