\u201cI think one of the big breakthroughs that\u2019s going to come is we\u2019re going to understand the brain\u2026 so that suddenly it all begins to click\u201d<\/strong><\/p>\n\n\n\n Quoting Geoffrey Hinton<\/a>, \u2018godfather of A.I.\u2019 in 2016.<\/p>\n\n\n\n Who am I to doubt this?<\/p>\n\n\n\n The most relevant level in the brain<\/strong><\/p>\n\n\n\n is not the neuron, nor the macroscopic brain part. It\u2019s a level in-between, that of neuronal (or synaptic \u2015 doesn\u2019t matter much) ensembles or \u2018patterns.\u2019 Even during the last few years, notably after Hinton’s speech, much exciting progress has been made in this field. [see: \u201cPatterns in Neurophysiology<\/a>\u201d]<\/p>\n\n\n\n At this level, one can ask what it is like to think a thought or feel a feeling. What\u2019s the link from neuronal pattern to thought? You may see in this the age-old question concerning qualia<\/em>. What\u2019s the link between a colored object and actually seeing the color?<\/p>\n\n\n\n Asked only slightly differently: What is the link between having a neuronal pattern and having a thought? Well, the thought is also a pattern. Having the one pattern and having the other pattern is the same action. One is the other.<\/p>\n\n\n\n That may seem as obvious as it is. Dear sophisticated reader, does it solve, to you, much of the qualia<\/em> problem for which many people have even fought fierce battles?<\/p>\n\n\n\n This sheds a light on the ‘hard question of consciousness.’<\/p>\n\n\n\n \u201cIt all begins to click.\u201d<\/strong><\/p>\n\n\n\n We will understand intelligence if we understand ourselves at the distributed patterns-level. [see: \u201cHuman Brain: Giant Pattern Recognizer<\/a>\u201d] At least, we will understand human<\/em> intelligence.<\/p>\n\n\n\n At the same time, we have to acknowledge that this is not the only<\/em> intelligence unless, of course, we define it that way. Then we keep \u2018intelligence\u2019 to ourselves. A.I. won\u2019t mind.<\/p>\n\n\n\n The more we have a grip on our own, the more it seems useful to abstract intelligence<\/em> from its present carbon-based recipient. We may learn a lot from our intelligence, abstract this knowledge, then apply it to A.I. in out-of-the-box ways. Nature is not an engineer, but a good teacher.<\/p>\n\n\n\n Of one thing, I\u2019m pretty sure: One way or another, Artificial Intelligence will also be pattern-based. [see: \u201cA.I. Is in the Patterns<\/a>\u201d] There are to this just too many advantages to just leave it so so. One may notice that present-day DNNs (Deep Neural Networks) are not the solution to this. Other neural networks \u2013 closer to recent brainy insights \u2013 may be better ancestors (time flies) to the future A.I.<\/p>\n\n\n\n Meanwhile, we learn a lot about ourselves.<\/strong><\/p>\n\n\n\n Such as, we learn that each of us is truly unique, yet in a way, we can recognize how people think and feel all over the world. That may bring us closer together. We\u2019re all basically the same. \u2018My people\u2019 is everybody. It\u2019s not hard to get this and bring the message from the brain\/mind. In its uniqueness, A.I. will be even more so, yet it will be recognizable in both ways.<\/p>\n\n\n\n We learn how human hardware and software are the same. They evolve together, continually, unlike a computer. Much of our mental efficiency comes from this, and much of our vulnerabilities, as in psycho-somatics. The pattern-level is the one on which much of our healing should be sought.<\/p>\n\n\n\n In A.I., we want the advantages, but we don\u2019t want future A.I. to become depressed or to get panic attacks. Better to avoid an acute A.I. psychosis. We need to find specific solutions for such problems. In this also, we can learn from ourselves.<\/p>\n\n\n\n And vice versa. Learning to solve these problems for A.I. will certainly shed new light on the human ‘pathologies’ as well as on the normal situation \u2015 bringing better therapy and prevention. Sounds great, doesn\u2019t it?<\/p>\n\n\n\n And, well, I know some of you are waiting for this:<\/strong><\/p>\n\n\n\n Just one link: [see: \u201cThe Journey Towards Compassionate AI.<\/a>\u201d]<\/p>\n