underneath what everybody sees as AI today. There's a whole movement of computing from general purpose computing to accelerated computing. We've been pushing this now for some over 20 years.There are three things that's happening. We all know that Moors laws run its course. The amount of demand for computing is really challenging.One of the most intensive computation things that the world does in cloud is data processing. Several hundred billion dollars of computation is done on just raw data processing. Ha ...

Core Insights - The article discusses the significant transformation in the media landscape in Australia over the past decade since Netflix's launch, particularly in content consumption habits [2] - It highlights the contrasting methods of data collection between traditional broadcasters and streaming platforms, emphasizing the granular and extensive data that streaming services like Netflix can access directly from users [9][15] Group 1: Changes in Content Consumption - Australians aged 16–38 now spend twice as much time on subscription streaming services compared to free-to-air TV [2] - The rise of streaming services has led to a shift in how content is consumed, with a growing preference for personalized viewing experiences [3][15] Group 2: Data Collection Methods - Traditional broadcasters have relied on TV ratings and sample anonymized data, while streaming platforms utilize direct user data for more detailed insights [4][9] - The OzTam TV ratings system collects data from over 12,000 individuals, but does not include video-on-demand services, which have been measured separately since 2016 [4][5] Group 3: Impact of User Data - User data significantly influences content production decisions, as seen in Netflix's investments in live content and exclusive deals [12] - Netflix's recommender system drives over 80% of user viewing, showcasing the importance of data in enhancing user experience [13] Group 4: Privacy and Transparency Concerns - The use of detailed user data raises questions about privacy and the extent to which streaming platforms shape viewer preferences [16] - Netflix's data collection includes various user interactions, preferences, and viewing habits, which are used to tailor recommendations [16]