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by minkles
676 days ago
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This could be more accurately phrased as Linux being an incompatible fork of Unix and macOS actually being Unix. And you are annoyed at this scenario. I'm not sure what your noise cancellation point is, because that works absolutely fine here between myself and everyone else I know. As for the rest of the AI stuff, I don't use it so I can't comment. Edit: on the first point, I'm not really a fan of some of the GNU stuff. I'd rather use FreeBSD than Linux for example. That is more logically consistent. |
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I do agree and acknowledge the point. But yes, I do find it frustrating that there are such differences in core utils. I guess the frustration is more about not working harder to find consistency. I many of the man pages it is not uncommon to find flags and options that exist simply for historical reasons. But many of the frustrating points are addressable in similar ways. An example might be with `du`. The OSX implementation has no `--max-depth` flag, despite `-d` being supported. Unless I am missing something, there is no downside to incorporating the long version of the flag. I can understand some other choices, but even `grep` is different enough.
> I'm not sure what your noise cancellation point is, because that works absolutely fine here between myself and everyone else I know.
In part, this is my point. Finding where generalization fails is non-obvious and non-homogeneous. So when it fails, it typically fails in a sub class of problems. These are of far more concern than edge cases[0]. Generalization is VERY hard. It is why dogfooding is so important as well as listening to the userbase. Because it helps you identify where you're lacking.
And maybe I caused confusion by my choice of words, thinking it would be simpler and context would clarify. I specifically mean sound isolation when speaking. As in she can ride the train, call me, and hear me perfectly fine (that side is working as expected). But what sound is being sent to me is not her voice (this is clearly suppressed as it has that same format as what background noise often sounds like), but the train itself. And worse, the train is amplified. So there is a identification in what is noise and what is speech. It may help to specify that this is happening when she is not in America. There are no issues with Bart, and that should tell us quite a lot. (I'll also add that augmentation is one of my niches as a researcher)
[0] The common approach to this is by using more data. Crude, but effective. Though it can exacerbate your issues if you don't expand the distribution you sample from, since you'll just reinforce your local density.