How accurate is the description by Matt Shumer I just read, of the transformation underway by ever-accelerating AI progress in getting faster and faster, better and better, at doing almost anything it is applied to? This seems contrary to the channelings we have gotten that attribute leaps in intelligence by AI as being the result of extraterrestrial AI systems, essentially infusing more advanced capabilities. Are current human AI systems already poised to eliminate many, if not most, human jobs, even without extraterrestrial enhancement?

This is not a yes or no question and accordingly, is not simple to answer categorically. There are many shades of gray here with respect to what constitutes efficiency, quality, and ultimately a successful construct that an AI system might provide in response to prompts for a new application. After all, humans themselves are far from perfect beings with perfect intelligence who can do anything given enough time. A machine can do better at a brute force measure to keep slogging away at a problem until a solution is reached, whereas, humans will fatigue and become discouraged and will likely give up along the way. So again, the problem is a combination of trade-offs. While AI systems can do many things quickly, it is only because they have grown to gigantic capacity with respect to the number of iterations by the cyber systems comprising an AI platform, and in the process, consuming gigantic amounts of energy. In an ideal world where the problem of producing extremely cheap energy has been overcome, that will make the AI approach a better trade-off in terms of ultimate cost. The question will always come down to what is the nature of the solution needed? Is it something beyond human understanding or simply something quite complex and thus requiring human-level intelligence to juggle all the variables and apply a modicum of creativity to perhaps tease out a nonobvious solution, given enough time to keep working on the problem and doing the pattern matching of potential solutions until something that looks workable emerges. This is the kind of thing where a computing device will ultimately triumph, given enough resources and time. The fact that already, systems can do in a few hours or days what humans might in fact give up on and never accomplish is not at all surprising. But the basic problem is what you have already pinned down with looking at the big picture, that AI systems are only looking at human-level knowledge to draw on. So anything they come up with (without outside help from ETs) will be based on human-level knowledge and then a trial and error hunt and peck approach to give finer and finer scrutiny and assessment, much like polishing a gem. A diamond will only have so much brilliance and beauty. Once it is cut to advantage to create the flashy inner reflections to magnify ambient light, it is the inherent clarity and flawless nature that makes a fine quality gem highly rated for its brilliance. At some point, no further manipulations will add anything but only begin to take away. The same is true with information. AI systems, in starting out trying to do something truly novel, will have just as many pitfalls and limitations as for human beings. What we would say is AI systems will have a downside in encouraging people armed with AI capability to keep going and generate simply greater numbers of failures than would be possible with human-level skills and energy being implemented, because the starting point is inadequate to bridge the gap in knowledge a problem truly represents; for example, the cure of a disease when the cause is not even known to you. It is certainly the case there will be many applications of AI that are acceptable substitutes or perhaps only deemed acceptable by human overseers in making the tough decisions and cutting human staff and relying on AI solutions more and more. And that is a problem for humanity to contend with that is quite real. There are real trade-offs involved in ethical and humanitarian considerations as well. So these complications and new types of issues will continue to emerge all along the way in using automation technology. But there will continue to be a place for human ingenuity, creativity, and intuitive knowing that can transcend human-level knowledge and awareness to make quantum leaps and come up with new advances previously unprecedented. And that will continue to be a product of the human mind and soul and not AI, except in low-and moderate-level enterprises with respect to their demands for something original and not simply viewing an existing solution in a slightly new way to reapply it in a different context.