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I live near the top of one of the foothills of the Cascade Mountains in the Puget Sound, my first year of living here after spending the last decade in a valley near sea level, only a few miles away. Warily, we’re watching the heavy, sullen clouds move in even as a cold weather system presses in from the north, a guaranteed recipe for snow. Winter is coming.
I’ve remarked more than once that the life cycle of social media platforms shares more than a passing resemblance to the evolution of stars.
With the layoffs at Meta this week, it’s time to review metaverse strategies. Meta was increasingly bullish about the timelines, as were many analysts. But where do we stand now?
As technology gears up for one of its most significant periods of growth in the digital age towards a future built on the foundation of the metaverse, the sheer volume of data that businesses can turn to optimize both their internal and external operations will be unprecedented. Whilst this new frontier will be exciting for those who choose to embrace it, the rise of big data in the age of Web3 will serve as a major talking point in privacy matters.
On the other hand, studios produced a different kind of product – entertainment. Superficially, the studio model looks more agile than either the factory floor or the corporate floor, with a certain degree of experimentation and iteration, especially early on in the process. Yet there are critical differences as well.
The quintessential example of a digital twin is the wind turbine. A digital twin is a real-time virtual representation of a real-world physical system or process that serves as its digital counterpart of it. Like all models or abstractions, a twin is created for practical purposes i.e. we wish to model a physical system of a phenomenon to understand it better.