Machine Learning: Innovation, Peak Advancement, and Chaos
Machine learning is a critical subject that studies how robots can learn a skill. In the past few decades, we have witnessed the burgeoning of hardware and software innovations, especially from innovators and leaders such as Bill Gates and Steve Jobs. Universities are looking to advance technology by creating the appropriate algorithms to program robots learn specific tasks. One example of teaching a robot something is by installing a camera into the robot and having the robot watch someone take the action of cleaning a room. After the individual has completed this task, the robot will then be put into action and the robot will use the algorithm given to make the necessary adjustments to emulate actions and to "learn" to clean the room on its own.
Machine learning is great in today's world, but our actions must be measured. The level of celerity at which our technology is advancing is extremely fast and there will be a time in which programming a robot to learn things will be bundled into a micro chip with algorithms prepared, along with wireless updates available. Stated portentously, there will be breakthroughs for unexpected opportunities in using robots, coupled along with our potential challenges, which will engender an unknown, dark chaos waiting to be bred. History has and will repeat itself, based on greed and fear. The growing "greed" to train robots to clean for us, fight for us, and to "die" for us is not that different. One example of such growing concern is OpenAI, whose mission is to thwart uncontrollable breakouts in regards to artificial intelligence. The problem doesn't really lie in innovation itself, but the limited discipline we have as humans, especially in a large social group with deeply established norms. It will be fascinating to discover the improvements of robots because they do not (yet) possess greed and fear. One thing may be certain, however: once advanced AI is established in the world (and in our space process towards Mars), we will be attached to these resources and the competition of which community possesses. As a species, we will have obtained the most advanced level of machine learning that we will not be able to function without. Thus, machine learning will be recognized as a critical success factor for further future generations.
Machine learning is great in today's world, but our actions must be measured. The level of celerity at which our technology is advancing is extremely fast and there will be a time in which programming a robot to learn things will be bundled into a micro chip with algorithms prepared, along with wireless updates available. Stated portentously, there will be breakthroughs for unexpected opportunities in using robots, coupled along with our potential challenges, which will engender an unknown, dark chaos waiting to be bred. History has and will repeat itself, based on greed and fear. The growing "greed" to train robots to clean for us, fight for us, and to "die" for us is not that different. One example of such growing concern is OpenAI, whose mission is to thwart uncontrollable breakouts in regards to artificial intelligence. The problem doesn't really lie in innovation itself, but the limited discipline we have as humans, especially in a large social group with deeply established norms. It will be fascinating to discover the improvements of robots because they do not (yet) possess greed and fear. One thing may be certain, however: once advanced AI is established in the world (and in our space process towards Mars), we will be attached to these resources and the competition of which community possesses. As a species, we will have obtained the most advanced level of machine learning that we will not be able to function without. Thus, machine learning will be recognized as a critical success factor for further future generations.
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