What is the specific difference between “regurgitated” information and the information a smart human can produce?
The human mind appears to use predictive processing to navigate the world, i.e. it has a neural net that predicts what it will see next, compares this to what it actually sees, and makes adjustments. This is enough for human intelligence because it is human intelligence.
What, specifically, is the difference between that and how a modern neural net functions?
If we saw a human artist paint like modern AI, we’d say they were tremendously talented. If we saw a human customer support agent talk like chatGPT, we’d say they were decent at their job. If we saw a human mathematician make a breakthrough like the recent AI-developed matrix multiplication algorithm, we’d say they were brilliant. What, then, is the human “secret sauce” that modern AI lacks?
You say to learn how machine learning works to dispel undue hype. I know how machine learning works, and it’s a sufficiently mechanical process that it can seem hard to believe that it can lead to results this good! But you would do well to learn about predictive processing: the human mind appears similarly “mechanical”. When we compare AI/ML to actual human capabilities, rather than to treating ourselves as black boxes and assuming processes like intuition and creativity are magical, AI/ML comes out looking very promising.
What is the specific difference between “regurgitated” information and the information a smart human can produce?
The human mind appears to use predictive processing to navigate the world, i.e. it has a neural net that predicts what it will see next, compares this to what it actually sees, and makes adjustments. This is enough for human intelligence because it is human intelligence.
What, specifically, is the difference between that and how a modern neural net functions?
If we saw a human artist paint like modern AI, we’d say they were tremendously talented. If we saw a human customer support agent talk like chatGPT, we’d say they were decent at their job. If we saw a human mathematician make a breakthrough like the recent AI-developed matrix multiplication algorithm, we’d say they were brilliant. What, then, is the human “secret sauce” that modern AI lacks?
You say to learn how machine learning works to dispel undue hype. I know how machine learning works, and it’s a sufficiently mechanical process that it can seem hard to believe that it can lead to results this good! But you would do well to learn about predictive processing: the human mind appears similarly “mechanical”. When we compare AI/ML to actual human capabilities, rather than to treating ourselves as black boxes and assuming processes like intuition and creativity are magical, AI/ML comes out looking very promising.