AI creating AI?

AI creating AI?

In the recent years technology has been moving forwards in a ways that we have never thought of or imagined. Artificial Intelligence, machine learning and neural networks have started to become part of our daily lives without us even realizing it. The last several years have also brought some troubling questions about the future of the AI. Is technological singularity coming faster than we ever anticipated? Are machines going to take away our jobs? Is AI going to go rogue on humans like in multiple dystopian movies? Well, even the brightest of us cannot answer those questions with certainty but the issue is starting to become more apparent. Several unnerving news articles that hit the media recently have made a big impact in the IT world. For example in the last week Google published a report that an AI managed to outperform humans when creating a piece of machine learning code (Greene, Oct 2017). This is significant because in the years to come it can lead to a vicious cycle of AI building and reinventing itself on multiple levels. For now, however, researchers working on the project state that there is nothing to worry about due to the current nature of the project.(Nash, Oct 2017) In a way we are closer to revealing AI’s potential to accelerate the technological timeline. On the other hand it poses a question about the measures that are needed to be taken in order not to find ourselves in the “Skynet” scenario. One is for sure, in the years to come we are going to see more and more machines.

References:

Nash, Charlie (2017 Oct 17) Google’s artificial intelligence can reportedly make better machine-learning code than the humans who made it. Available at: http://www.breitbart.com/tech/2017/10/17/report-google-ai-makes-better-code-humans-made/ [Accessed 23 Oct 2017]

Greene, Tristan (2017 Oct 17) Google’s AI can create better machine-learning code than the researchers who made it, Available at: https://thenextweb.com/artificial-intelligence/2017/10/16/googles-ai-can-create-better-machine-learning-code-than-the-researchers-who-made-it/ [Accessed 23 Oct 2017)