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The Cognitive Gaps in AI
Andrej Karpathy discusses the limitations of current AI models in replicating human intelligence. He highlights the success of transformer neural networks in learning patterns across various modalities but points out that many aspects of human cognition remain unaddressed. Karpathy compares AI components to brain structures, suggesting that while some areas like the prefrontal cortex are represented, others, such as the amygdala and hippocampus, are not fully explored. He emphasizes that AI still exhibits cognitive deficits, making it unsuitable for tasks requiring human-like understanding.
"What is it the part about human intelligence that we like have most failed to replicate with these models? Uh just a lot of it still we've stumbled by with the transformer neural network which extreme..."
The Cognitive Gaps in AI
Andrej Karpathy discusses the limitations of current AI models in replicating human intelligence. He highlights the capabilities of transformer neural networks but emphasizes that many aspects of human cognition, such as emotional processing and instinctual responses, remain unaddressed. Karpathy suggests that while some brain functions may not be crucial for AI development, others, like the amygdala's role in emotions, are essential and still unexplored. He concludes that AI still has significant cognitive deficits, making it unsuitable for tasks requiring human-like understanding.
"What is it the part about human intelligence that we like have most failed to replicate with these models? Uh just a lot of it still we've stumbled by with the transformer neural network which extreme..."