> Blog post written, PR'd, and merged in under 3 minutes.

It's close to or even faster than the time it takes me to read it. I'm struggling to put into words how that makes me feel, but it's not a good feeling.

In my world view, a LLM is far closer to a fridge than the androids of the movies, let alone human beings. So it's about as pointless being polite to it as is greeting your fridge when you walk into the kitchen.

But I know that others feel different, treating the ability to generate coherent responses as indication of the "divine spark".

Also, in the olden days of pre-AI, if our weather workflow did not notify us because conditions juuust failed to be met, we adjusted the thresholds. Uphill, both ways.

Don't get me wrong, I use a bunch of LLMs for automations. By prompting the model "here is what I want to achieve, here are the tools I have, figure out how to stitch them together". Actual workflows run (mostly) deterministically, with a sprinkling of "classify this image" or "summarize this text" nodes thrown in for a good measure.

The dashboard itself is a react app talking to my Home Assitant instance over a websocket. The heavy lifting of bringing various data sources together is done by HA, I just wrote a react app because it seemed easier than learning to customize HA dashboards to the degree I wanted to.

As someone from a country that used to be under russia n boot - the fireball is preferable.

If I post AI generated images to twitter, and those get amplified by my followers (that might or might not be real people) enough to surface on some rail engineers feed, well, that's just me showcasing my art, no harm intended, right?

Just yesterday I was helping a family member install roofing. The roof was done up to slats, the roofing was big metal sheets, should be done in an hour. Except we spent good five hours on various little details before the first sheet was going up. And you cant exactly not do those, at least if you want the roof to stay there, and the weather to stay outside.