Every so often, I like to look at some of the more weird conspiracy theories and then try to debunk them. I consider it a media literacy exercise, but there has been one theory that I've come across that is impressively hard to debunk: the "Dead Internet" theory. I think that the best conspiracy theories are the ones that are hardest to debunk, and this one is increasingly getting more difficult to debunk. The core idea is that the Internet itself is actually dead, no human authorship of any content exists. Any actual human content that is created is isolated into its own little heavenbanned bubble. Mainstream platforms, news outlets, social media sites, Internet forums, chatrooms, everything filled with bot generated content to the point that it's impossible to find another human. To be clear, this theory as literally written is absolute nonsense and probably not worth taking too seriously.

Rose: We've always kept records of our lives. But not all the information was inherited by later generations. Colonel: A small percentage of the whole was selected and processed, then passed on. Rose: That's what history is, Jack. Colonel: But in the current, digitized world, trivial information is accumulating every second, preserved in all its triteness.

In this video from the Univa Breakfast Briefing at ISC 2018, Duncan Poole from NVIDIA describes how the company is accelerating HPC in the Cloud. Today's groundbreaking scientific discoveries are taking place in HPC data centers. Using containers, researchers and scientists gain the flexibility to run HPC application containers on NVIDIA Volta-powered systems including Quadro-powered workstations, NVIDIA DGX Systems, and HPC clusters. The rise of AI workloads on GPU-enabled systems like RAIDEN in Japan introduces a corresponding and compelling demand for Univa Grid Engine. In the case of workload management for RAIDEN, Univa Grid Engine delivers combined support for GPUs and Docker containers – meaning that AIP Center researchers can run their Deep Learning applications within Docker containers that make abstracted use of'external' GPUs via device mappings (i.e., between a container and a physical host).