I recently wrote about the “input data” humans use for learning as well as the data AI learns from. This takes the lessons from these two discussions and shows the implications this has on artificial intelligence—its capabilities, limitations, and how to think about the intelligence in artificial intelligence. We’ll see that generally human minds...
Category - Human Intelligence
Human intelligence is much more advanced than artificial intelligence, but they both have unique strengths and weaknesses. One question that’s often overlooked is: which has better input data to work with? This seems like a strange question. But it’s an important one. One of the most important principles AI practitioners understand is the...
One of the questions I get most often is: how do we protect ourselves from advanced AI taking over the world? There are many variants, from less-concerned questions about what type of AI we should be investing in to even more paranoid versions of this question. The simple answer is: we don’t even need to think about it. At least not anytime soon...
Humans and computers can both use the rules of logic. For humans, it’s a small part of our thinking. For systems using AI, it’s pretty much all they do. Human thinking When we think, as humans, much of our thought is based on things we observed with our senses. This might be because we’re looking at a restaurant menu, watching a television, or...
Classification is the problem in AI that computers are best at solving. It’s used by billions of people in everday life, including for: spam filtering, fraud detection, and even to unlock your iPhone with Face ID. When you hear the term “classification,” though, the first thing that may come to mind is some complex system for organizing...
I generally write about artificial intelligence: how machines learn. Many of the most interesting observations in this area come by comparing artificial intelligence to human intelligence. Here I’ll examine how humans learn, before providing some high-level analogies to how AI learns which I’ll explore more in future posts. Reality &...