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Reddituser45005 t1_it55s58 wrote

“Barring the most graphics-heavy computer games, a half-decade old computer today can easily handle most of the things it is required to do, whether at home or at work”

That is the essence of what is about to change. The desktop computer paradigm has been stagnant for a decade or more but that is about to change and it will require significantly more processing power. The current menu/icon driven approach we see in most desktop Office programs will be replaced by AI driven assistants that are generations ahead of the Siri model in use now. I predict the end of the “Office PC” is on the way sooner rather than later. The idea of embedded intelligence has been around for a while. I think we are seeing it emerge now

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Cr4zko t1_it5e6yl wrote

I dunno. I had a computer with a 2006 processor (Intel Core 2 Duo) and I used it until February when it blew up.

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Reddituser45005 t1_it5ff4v wrote

That’s exactly the point. Computers have gotten faster but the way we use them hasn’t changed. We are just running prettier and more graphic detailed versions of the software we used in 2006. That is about to change

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Cr4zko t1_it5gd7i wrote

But no one will want those AI-powered computers simply because it would be unpractical and expensive. You'd have to retrain people to teach them how to even use it (remember MS Office 2007? I do!). The Desktop hasn't changed since 1995 for a reason. I might be wrong, though... still doesn't sound very accessible.

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Reddituser45005 t1_it80rfg wrote

If it leads to greater efficiency, corporations will not hesitate to pay. As an example in my job as a project engineer I am preparing for a Site Acceptance Test on a multi million dollar upgrade to a pharmaceutical packaging and inspection line. That involves reams of documentation. User Requirements Specifications, Functional Design Specifications, Field Acceptance Testing, Site Acceptance Testing, Process SOPs, Technical and Users manuals and Validation requirements all linked together by a traceability matrix that shows how it all ties together. This is thousands of pages of documents that need to be summarized for different reports and departments at various stages of the process. There are templates and standards for each report they all require pulling information from different sources and referencing it all correctly. Having an AI that could automatically track all that information and populate documents according to the templates and standards, that would be huge. Most corporate document work involves interactions with other docs and drawings and spreadsheets. Automating even a small percentage of that is worth millions in labor savings ( and will involve layoffs across multiple industries)

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