The AI Revolution
Why AI will be the biggest thing yet – the AI Revolution.
The Industrial Revolution (1700s) was viewed by many as the first technological revolution, where machines took over the mechanical by-hand work of human workers. As factories were built across the world, GDP per capita quickly rose and the world changed completely. But this rise in productivity soon ended – mechanical machines can only work so hard or so fast before breaking down.
The Computer Revolution in the 1900s took this a step further with the ability to process and store data. This helped humans with mental work – storage for remembering information, calculators for complex calculations, etc. It was far more powerful than the Industrial Revolution. The first slope represents change after the IR, and the second slope is when computing power is introduced:
Moore’s Law states that the number of transistors in a constant circuit will double every 18 months.
However, computers also can only go so far. Moore’s Law, of course, is only a theory created by Gordon Moore, co-founder of Intel. Transistors are simply getting way too small to make, meaning that Moore’s “Law” is coming to an end.
So what’s next for humans? Tech leaders, investors, and analysts alike point to Artificial Intelligence as the next stepping stone in our continual development as Homo sapiens – the AI Revolution. But this revolution will be completely different from before – unlike the Industrial and Computer revolutions of previous centuries, which represented rather linear progressions, AI can only get better and better.
What is the measure of “intelligence” in the last graph?
Intelligence is a general measure of how powerful the “brain” is, in terms of the ability to reason, make accurate decisions, process information/data quickly and efficiently, amount of information known to that individual, etc.
But is “intelligence” really defined by very targeted and specific pattern recognition? That’s what deep learning is – a narrowly defined pattern recognition.