On Artificial General Intelligence, AI Sentience, And Large Language Models

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On Artificial General Intelligence, AI Sentience, And Large Language Models
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The public discourse on these topics needs to be reframed in a few important ways.

Both the overexcited zealots who believe that superintelligent AI is around the corner, and the dismissive skeptics who believe that recent developments in AI amount to mere hype, are off the mark in some fundamental ways in their thinking about modern artificial intelligence.A basic principle about AI that people too often miss is that artificial intelligence is and will be fundamentally unlike human intelligence.

To make this more concrete, simply consider the state of AI today. Today’s AI far exceeds human capabilities in some areas—and woefully underperforms in others.has been a grand challenge in the field of biology for half a century. In a nutshell, the protein folding problem entails predicting a protein’s three-dimensional shape based on its one-dimensional amino acid sequence.

From a young age, humans can effortlessly do things like play catch, walk over unfamiliar terrain, or open the kitchen fridge and grab a snack. Physical capabilities like these have proven fiendishly difficult for AI to master.

just a few weeks ago: “Current artificial intelligence systems pale in their understanding of ‘intuitive physics’, in comparison to even very young children.”AGI is neither possible nor impossible. It is, rather, incoherent as a concept. Imagine an AI that developed an atom-level understanding of the composition of the Earth’s atmosphere and could dynamically forecast with exquisite accuracy how the overall system would evolve over time.

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