No, she was arrested for disobeying police orders. But whether they're lawful orders or not is a different matter; strongly suspect that if this went to trial, she'd have a decent 1st amendment argument, which is why it won't go to trial. (ACAB, but also this is a pretty standard part of civil disobedience -- getting arrested is just part and parcel, for better and worse.)

I don’t know why you think she’d have a 1st amendment case; intentionally obstructing public passages is a crime in PA. Time, use, and manner restrictions are widely understood to be constitutional as long as they are content neutral and do not restrict expression. If she was following behind or in front of the robot with a sign, that would be one thing, but intentionally blocking someone or something almost certainly does not constitute protected speech in itself.

> But whether they're lawful orders or not is a different matter; strongly suspect that if this went to trial

Right: you win arguments against cops in court, not on the street.

Unless you're in your home, and they don't have a warrant.

“…now let’s sprinkle some crack on this [homeowner], and get out of here.”

ACAB?

All Cats Are Beautiful

That's not actually what it stands for...

you sure about that https://en.wikipedia.org/wiki/ACAB

Did you read your link? Literal first 8 words:

> ACAB, an acronym for all cops are bastards

ACAB & ACAC both span multiple english speaking countries, predate BLM days by at least three or four decades, and are hardly idiotic in the face of documented abuses of power by rotten apples, coupled with tacit acceptance of the bad ones by their wider fraternity.

You can buy them on your phone in some states, e.g. Georgia. Their "scratch offs" look just like slot machines and give the same lovely dopamine spikes; used to drop $100 in every couple months when I just needed happy brain chemicals.

Even better, honestly: a large bloom filter for the data, such that the likelihood of a collision is relatively low, then send it up to the server for a check. That way there are a small number of erroneous potential hits, but the list never needs to exist on-device.

I just ask our fleet maintenance agent to configure the variants of the new model and then run the bakeoff. In a few hours, I get a doc containing exactly how it performed on my real tasks, against the other models we've benchmarked.

We don't do any "prompt engineering" to make specific models work better or worse, so this gives us a direct comparison that lets us objectively compare how they'll work in practice for different types of tasks.

Good enough to have guided multiple model swaps and measured increases in productivity.