I can´t help to think this was not a business as usual I/O, it feels like the concretization of the exponential nature of technology development, sported nowada

I can´t help to think this was not a business as usual I/O, it feels like the concretization of the exponential nature of technology development, sported nowadays a good deal by deep learning. Notice that a good portion of the products presented in I/O weren't just a result of many people grinding away on a problem (say, iterating on a new version of a operating system), but where "machines" worked/trained on a problem in order to do something useful for us. This is not news to me nor anyone here I am sure, but seeing it realized on a keynote where a company gives us an update on what was accomplished in roughly a year and seeing it realized in a more wholesome approach/platform (Google Assistant), instead of scattered along different products, just made me realize that a fundamental mindshift is happening on a more global scale. From makers ("I will make this machine/software so that it can help with X") to leaders of machines ("I will give the necessary conditions for the machine to help with X").