Hurdles On The Road To Artificial General Intelligence

Deep Learning and generally Machine Learning seems to have reached their limits. Indeed, these techniques are based on recognizing patterns by training with Datas (generally Big Data)… and that's the problem: on a large number of trials, Deep Learning and well-trained AI entities have a huge percentage of success… but what about on a single case? There, the AI can make big mistakes that 5 years old children would not do! So, we now realize that the Neural Network methods used in Deep Learning (in fact already very old – we "just" do now (big) improvements of more than 30 yo deep learning general techniques) – can't lead to an Artificial General Intelligence (AGI). So, what are the ways for moving to the next level?