The enormous shortage of ability to compute is distorting our work, creating problems where there are none, making others impossibly difficult, and generally causing effort to be misdirected.

Many of the most influential names in the field seem to feel that AI should e like the theoretical side of physics, the essential problem being to find the laws of universe relating to intelligence. Once these are known, the thinking goes, construction of efficient intelligent machines will be trivial. Suggestions that the problems are essentially engineering ones of scale and complexity, and can be solved by incremental improvements and occasional insights into sub-problems, are treated with disdain.

I have made three separate attempts to read 

 and I have never finished it. But if I have taken anything away from that book, it's that intelligence may arise from complexity -- which is kind of another way of saying what Hans here said in 1976.

> The enormous shortage of ability to compute is distorting our work, creating problems where there are none, making others impossibly difficult, and generally causing effort to be misdirected.

> Many of the most influential names in the field seem to feel that AI should e like the theoretical side of physics, the essential problem being to find the laws of universe relating to intelligence. Once these are known, the thinking goes, construction of efficient intelligent machines will be trivial. Suggestions that the problems are essentially engineering ones of scale and complexity, and can be solved by incremental improvements and occasional insights into sub-problems, are treated with disdain.

I have made three separate attempts to read *Gödel, Escher, Bach* and I have never finished it. But if I have taken anything away from that book, it's that intelligence may arise from complexity -- which is kind of another way of saying what Hans here said in 1976.