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Joined 1 year ago
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Cake day: July 5th, 2024

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  • I read your comment. You basically repeated back what I said.

    As for “not actually anything extra reliability”, that’s not true. This is literally the definition of all your eggs in one basket. If all these services were instead spread out amongst smaller providers, there wouldn’t have even been any news about it because it would have affected just a few services. But instead half the internet went down.

    Even one of the applications I manage was down because of a single RTE npm dependency used on the forms. This is when we discovered that the npm module wasn’t bundling the whole thing but in fact dynamically pulling the js from a CDN hosted on AWS, because our prod instances kept erroring out for everyone (No, I did not write this application and I’m already replacing the dependency).

    The argument isn’t about spending thousands for a lateral shift in reliability, the argument is to decouple everything from a single failure point.











  • Well, the algorithms that make up many neural networks have existed for over 60 years. It’s only recently that hardware has been able to make it happen.

    AI gives it bit of marketing sprinkle to something that has been a solved problem for years.

    Not true and I did say “any upscaler that’s worth anything”. Upscaling tech has existed at least since digital video was a thing. Pixel interpolation is the simplest and computationally easiest method. But it tends to give a slight hazy appearance.

    It’s actually far from a solved problem. There’s a constant trade-off beyond processing power and quality. And quality can still be improved by a lot.