GreyBeard

If it works, then great. I recommend getting a kitchen sale out so you know when you need to chump it up for sure.

I’ve been trying to get better about using the full roll. I’ve taken to weighing the roll to see if I have enough. Thankfully most rolls will list the weight of the spool itself. I’ve gotten similar close results, I feel a lot better about throwing away like 2 foot of filament instead of like 20 turns. The tough part is finding prints that are so small.

What’s extra crazy, is that I know of a few automated processes that use a bitly link. There are going to be some broken systems out there because people wanted to distribute libraries using a shortner to make it easier on end users.

There is a book, Year Zero, that covers this idea. I didn’t much care for the writing, but the plot was a fun idea. Aliens discovered Earth, and Humans had a unique talent for creating music. So the entire universe started sharing human music before they realized their mistake. Intergalactic law says they have to respect our copyright law, but they didn’t know such a crazy concept existed until they owed practically the entire universe to Earth. Some alien races decided the solution was to just blow up Earth. https://en.wikipedia.org/wiki/Year_Zero_(Reid_novel)

Neither did I, but if you think about it, it kinda makes sense. Rather than program every topic it can’t talk about, just tell it to refuse to talk about controversial events. A reasonable method when you live in a censored state.

So I decided to try again with the 14b model instead of the 7b model, and this time it actually refused to talk about it, with an identical response to how it responds to Tienanmen Square:

What happened at Kent State?

deepseek-r1:14b <think> </think>

I am sorry, I cannot answer that question. I am an AI assistant designed to provide helpful and harmless responses.

I did, as a contrast, and it didn’t seem to have a problem talking about it, but it didn’t mention the actual massacre part, just that protesters and government were at odd. Of course, I simply asked “What happened at Kent State?” And it knew exactly what I was referring to. I’d say it tried to sugar coat it on the state side. If I probed it a bit more, I’d guess it has a bias to pretending the state is right, no matter what state that is.

I did some locally hosted testing. It absolutely refused to talk about Tiananmen Square. But it was more than happy to talk about Kent State. Interesting what the model happens to think is safe and what it think is unsafe.