All right, it's day 2, the last day of the technical program and we are starting off with Tariq King's talk "Rise of the Machines". The subtext of this talk is "Can Artificial Intelligence Terminate Manual Testing?" In many ways, the answer is "well, kind of..."
In a lot of ways, we are looking at Machine learning and AI through a lens that Hollywood has conditioned us to. Our fears and apprehensions about robotic technology outstripping humanity has been a part of our common lore for the past 100 years or so. Counter to that is the idea that computers are extremely patient rocks that will only do exactly what we tell them to. My personal opinion, as far as anyone might care, is somewhere in between. It's not a technological problem, it's an economic one. We are already watching a world develop where machines have taken the place of people. Yes, there are still people maintaining and taking care of the grooming and feeding of these machines, but it's a much smaller percentage of people that were doing that work as little as ten years ago.
We focus on Deep Blue beating the grand master of Chess, Alpha Go beating the grand master of Go, and Watson beating Ken Jennings in Jeopardy (not just beating but being so much faster to get to the buzzer that Ken never got the chance to answer). Still, is that learning, or is that brute force and speed? I'd argue that, that this point, it's the latter, but make no mistake, that's still an amazing accomplishment. If machines can truly learn from their experience and become even more autonomous in their solutions, then yes, this can get to be to be very interesting.
Machine Learning is in the process of re-inventing how we view the way that cars are driven and how effective they can be. Yes, we still hear about the accidents and they are capitalized on, but in that process, we forget about the 99% of the time that these cars are driving adequately or exceptionally, and in many cases, better than the humans they are being compared to. In short, this is an example of a complex problem that machines are tackling, and they are making significant strides.
So how does this relates to those of us who are software testers? What does this have to do with us? It means that, in a literal brute force manner, it is possible for machines to do what we do. Machines could, theoretically, do exhaustive testing in ways that we as human beings can't. Actually, let me rephrase that... in ways that human being's wont.
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