Lots of good suggestions here, I'll also thrown in that a basic standalone automation can help prevent the worst also:
if valve not "closed" for > 45min
set valve "closed"
Edit: use not closed instead of open to prevent brief unavailable states from messing with it.
What are you, a data center?
Thank you, I needed the laugh for this x3
Hopefully my peppers aren't dying from being drowned, nor my other plants. Guess I gotta feed them when I get home from work!
Hope everything survives and thrives for you! I have a neonatal homeassistant setup that I am always leery about expanding beyond lights and the entertainment system.
Rule 1 of automation: check the code before you run the code.
Rule 2 of automation: watch the code run.
Rule 3 of automation: repeat step 2 until anxiety fades.
I do all three every time I do something new, it's basically mandatory for me. Every time I did it correctly did numerics tested over and over via voice itself. Timers always behave and require that as well.
This was just the first time, after anxiety had faded, it had failed to transcribe in a useful fashion.
Makes me want to look into more-predictable STT systems.
Honestly, luck of the draw sometimes. It works 99 times, then goes "fwoom" the 100th.
To prevent things like this from happening, you can create alarms in Grafana to notify you of unusual behaviour. Something along the lines of "If water consumption in the last 6 hours is > 10L / hour, fire the alarm and notify me".
I like to think of stuff like that as an error culture: errors are bound to happen, be it a wrong Whisper transcript, a broken pipe, etc, and that's okay. You can't never be fully sure you are error-free. What you can do is create a culture that can catch these errors in their early stages, without having to wait, say, a whole month for the water bill to be astronomically expensive for you to say "Hey, something's wrong" (that wasn't the case here, but bear with me).
Reporting like that really is something I should be doing more of. I think about it lots at work and when I go home I guess I often turn off that part.
Ah, more AI-caused problems. Love to see it.
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.
Machine Learning IS AI! You got yourself confused with marketing schemes yourself.
https://en.wikipedia.org/wiki/Machine_learning
And yes it was called AI before. It was just not in everyone's mouth.
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.
AI is the perfectly fine umbrella term for it. It was used forever in terms of ML. Just go back to the first entry in the linked Wikipedia entry and you will find that its literally the first sentence.
Just because you feel to have negative feelings about a scientific term, does not make it ok to claim it does not belong to the same or a related group.
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