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AI – The limits of IQ

The Model In the old days, people would spend a long time teaching computers rules. Expert systems attempted to simulate the expertise of professionals by following the same rules. This has several drawbacks: experts don’t always understand the rules they use; many rules experts use are wrong; and takes a...

AI – The 1%

Anyone can fly in an aeroplane But flying a plane is harder. Learning to fly a plane safely and getting a pilot’s licence is a long drawn out process. Maybe 10% could fly a plane. Building one is harder again – only 1% of people could actually make a plane....

AI – the Real World

What is your problem, exactly? Mind games provide a rich seam for AI. Every year, AI gains more scalps – recently including Go and Poker. These games share a common feature: they are well defined – you can write down the rules for Go. Developers can solve this narrow problem...

AI – perspiration or inspiration?

Does intelligence suddenly pop into existence, like switching on a light bulb? Or is it an emergent property dependent on sheer volume of calculations? Can perspiration result in inspiration? As it happens, we have a good way of testing the effectiveness of brute force processing – the game of chess....

AI – finding the Truth

Introduction It would be good if future AIs, with their vast wisdom, could be better at finding and recognising the truth than people have been. Why the Truth? Most people do not need to know the truth to go about their everyday lives. This reduces their interest in finding it....

AI – God or Devil?

What is it like to make something more intelligent than yourself? My early experiments showed how AI could work – and answered: Who would play better – God or the Devil? The God strategy In 1979, I was lucky enough to have access to a TI-58 programmable calculator. What should...

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