PublicFurryAccount

PublicFurryAccount t1_ja01fb7 wrote

Pretty much.

The market for upgrades in every product area is limited to enthusiasts and business. It's just not worth doing, honestly, unless the device is hideously expensive and the market is fast-moving but inconsistent like PCs in the 1980s and 1990s. Otherwise either upgrades don't give enough value to be worth buying an upgrade or you basically need to upgrade everything anyway.

Battery life is a solved issue with a lot of things, now, though. Because phones and laptops aren't increasing in capability as fast, manufacturers have started to offer free or nominal cost replacement services for those components.

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PublicFurryAccount t1_ja00hgn wrote

There wasn't any such thing.

The issue was that, a decade ago, companies were adding smart features without really grokking the implications of a sensor which can halt operation. This led to lots of products becoming useless because the sensor had failed.

This can be counteracted in some systems with a hard reset. The machine will sometimes have code to mark a sensor as bad when it runs the first-run diagnostic and will ignore the sensor thereafter. Other times the issue was just a routine that wanted the user to perform some maintenance task years later, long after they'd lost the manual, and they would not know how to reset the flag. (E.g., by powering on the coffee maker while holding the brew button or whatever.)

Unfortunately, I'm going to have to be your source for the cause. I work in IOT and this sort of stuff was among the war stories told by coworkers from the early days of the market.

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PublicFurryAccount t1_j9zy4io wrote

Televisions were way more expensive back then, though, and advances in CRTs was really slow. So you needed it to last a long time to justify the purchase, even for a middle class family, and you could expect that it wouldn't really be behind newer televisions for many years because it took a long time for any significant changes to arrive.

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PublicFurryAccount t1_j58ye2i wrote

This is a pretty common conflation, honestly.

I think people assume that, because computers struggled with it once, there's some deeper difficulty to language. There isn't. We've known since the 1950s that language has a pretty low entropy. So it shouldn't surprise people that text prediction is actually really really good and that the real barriers are ingesting and efficiently traversing.

ETA: arguing with people about this on Reddit does make me want to bring back my NPC Theory of AI. After all, it's possible that a Markov chain really does have a human-level understanding because the horrifying truth is that the people around you are mostly just text prediction algorithms with no real internal reality, too.

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