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I’m a dorky inflatable latex coyote! Linux nerd, baker, some 3D things as I learn. Also love latex. The material, not the typography thing.

Links: https://fursona.directory/@KayOhtie

KeyOxide: openpgp4fpr:134CEDFA7E5546F251394038260773BD8F218384

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Joined 3 years ago
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Cake day: July 14th, 2023

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  • Kay Ohtie@pawb.socialtoLemmy Shitpost@lemmy.worldSBA #119 maths
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    1 day ago

    The real answer is “what’s the fucking context for how these numbers are being used?”

    If it’s “just as written on a test” I think asking for clarification on order would be accepted.

    If it’s an actual context of some kind then that alone dictactes the way you solve it.

    Can’t quickly come up with a word problem for this one though.


  • Yes, I’m aware that ML is a field of computer math artificial intelligence. But purposefully trotting that out is tantamount to doing unpaid work for Sam Altman at this point since in parlance nearly everyone uses “AI” as shorthand for modern generative AI systems as well as the hype itself.

    Which thus…no, it wasn’t called AI before, it was generally referred to as machine learning or neural networks with that implying it was AI (math) before it became labeled as AI (hype).

    This feels like really unnecessary pedantry.


  • Yep. In the fix I linked I set it up to default to a word if it fails the template instead, so it’ll then check for a match to that word (“fail”) and if so it just falls back to 5 minutes and will tell me as much.

    Going to be a hell of a lot better about that in the future though. Was definitely a rookie mistake on my part to assume that just because it’d worked every time I’d tested it, used it, and with timers and all thus far that it would always work 100% of the time. Why assume when you can validate? I do in code I write… Guess I don’t think about it in the same way with HA as much, oops.





  • Speech to text, not AI. No one called it AI until the tech execs started purposefully conflating them all to make folks who say they’re “anti-AI” look bad against all other machine learning. And now even fucking Nuance calls DragonSpeak “AI” even though it’s always been machine learning-based since it first started.

    It’s one of those stupid things that would just need a toggle to force transcription context. Probably works flawlessly with Nabu Casa’s STT, but even though I pay them for it I want it local. Hell, I’m pretty sure Dragon even has (or had) switches for forcing certain processing methods.








  • Alternatively, it comes off as a person who has tried this in earnest numerous times and is exhausted by people who assume that they haven’t given things a genuine shot.

    And there are few things more grating than a tech person assuming the other person doesn’t know what they are doing in earnest just because they were short with you from having already explained it elsewhere, numerous times over time, to the same result of what is, effectively, tone policing. “You didn’t phrase this in a technical manner thus I assume you know jack shit.” Not far off from sea-lioning really.


  • I ended up picking up two of the Home Assistant Voice PE devices and I’ve been fairly happy with them. I even extended their firmware so I have a clock display on each with one being my bedroom alarm clock even. But even out of the box functionality, as long as you can either run faster-whisper on Home Assistant (or another box), or don’t mind their lighter device-control-only route, is totally solid.

    Plus music streaming to them (with an external speaker attached via the 3.5mm jack) is pretty good!