Since about 1950, many reowned researcher have claimed that artificial intelligence (AI) will reach human intelligence in about 10 years. It hasn't happened. On the other hand, the evolution of computational power is exponential and the exponent of Moore's Law is large. Churchland's question -- is the brain more complex than clever? -- is still here. What are we missing?

I argue that AI applications have found the solution, AI algorithms and AI architectures have reached the level of the mammalian brain and are about to surpass us. This is due to knowledge collected by mankind, the crowdsourcing efforts for training deep networks, the huge variety of deep learning architectures, and finally, the need to avoid the cost of crowdsourcing. I will give a pragmatic definition for creativity and intelligence being served to what I believe the crux of the innovation of the mammalian brain versus other neural systems. The definition also offers a solution to a mystery, namely that a large portion of what has been discovered by mankind during 20,000 years can be transferred to a child in about 20 years. I present a very recent architecture from the literature that reproduces the innovation of the mammalian brain to a great extent and show a demonstrative example on extending it towards goal oriented systems.

Comment: Géza Németh (BME-TMIT)