Basically, I was super tired getting home from an event last night and didn’t even notice the water hadn’t stopped flowing normally. It’s quiet so I don’t normally hear it.
Apparently at some point a couple hours in a fitting in my drip setup blew, flooding my peppers planter entirely and in the process burning through nearly 4000 liters of water before I caught it on my way out the door to work this morning.
I’ve since learned there’s a Z2M command to start watering on a timer, but I didn’t know that before and trusted Whisper to not fuck this up. My fault.
Don’t think my water bill company will be amenable to it. I’ll call and ask but, fuck.



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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