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Joined 2 years ago
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Cake day: June 18th, 2023

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  • The only issue with your second point is that it can eventually become a quagmire when you do need to upgrade it.

    I work for a very old company who held to that philosophy for many years. And while any individual component could be looked at and seen as running fine, when they did finally decide it was time to upgrade they were faced with needing to upgrade everything simultaneously.

    All of the tech was too old, so no current tech had the sort of backwards compatible bridge that helps you move forward. It’s like figuring out how to get your telegram system to also work on your WiFi network, nobody makes any interfaces for that.

    Instead of slowly and gradually replacing components over time, they’re faced with a single major overhaul that’s put the entire company at risk because they have to completely shut down for over a month.





  • A big hurdle of AI is the fact that they really can’t ‘learn’, at least not like humans can, where we filter out bad data or go back and correct previous assumptions (not that we do this perfectly). Seems like anyone who’s able to truly figure out how to teach AI without needing super-clean data sets will have basically unlocked something pretty close to the singularity. Which makes me assume that we’re honestly no where close to figuring that out and that sample collapse is much more likely (with possibly the internet as a whole being effectively ruined, same as voice calls have been effectively ruined by rampant spam).