RIP to Mr. Ah Loo. This shouldn't have fucking happened, and hopefully there will be accountability for this. Beyond that, I'm going to hold off on commenting until more details come out.
PM_ME_VINTAGE_30S
It doesn't necessarily need to be a firefight.
https://theanarchistlibrary.org/library/organizing-armed-defense-in-america#toc24
Are we though? Don't drop any details if you're aware of actual community defense preparations at the No Kings protests...but the organizers of these protests are libbed up as hell. ~~No way they're working with any armed community defense groups.~~ It looks like the Salt Lake City protest organizers actually did work with a volunteer peacekeeping group, and the fatality was a bystander killed by a bullet meant to stop the gunman.
Face recognition might be usable to spot agent provocateurs at protests but can be a double edged sword
I'm extremely skeptical that facial recognition would be better at this task than a group of trained humans (although I'm personally terrible at faces 😆). Existing facial recognition software is trained on datasets that reinforce existing oppressive biases, so you'd probably have to train from scratch on a fresh dataset or do some extremely careful transfer learning to even begin to get anything useful. (IMO getting a sufficient dataset is the hard part since you can do basic facial recognition with an eigenvalue decomposition on any computer.)
The last time I used a commercial LLM as a "consumer" was to write a response to a rejection letter I got from a company that made me drive an hour and a half one way so they could tell me in person that I lived too far away from them. If I wrote it myself I would have screamed into the email.
Last time I used an LLM at all was when I tried to set up a local version of Llama for VS Code. But then I got busy with schoolwork.
Please I beg people: think for yourselves.
I genuinely don't know how to help people who don't want to think for themselves 😖
IMO, other than to fight against establishment AI-powered projects, avoid LLMs and image generation for public facing anarchist agitprop for now because it's currently associated with and controlled by the capitalist class. There isn't really a particularly great application area for LLMs and image generation where I would rather have a machine do the work than a human.
Optimal control theory and reinforcement learning can be used for peaceful robotics applications. Classical machine learning is used all the time in the background without controversy. We can keep doing that. IMO the CEOs and business people don't actually understand the mathematics behind the systems they work with, so if you like math and have the time to pore through research papers, you can expose the business people as jackasses who don't know shit about fuck (even more than they already do themselves).
In the background, work to wrest control of AI from the capitalist class if you have the resources and time. We should periodically revisit the issue as the culture changes and people learn how to use (and misuse) AI tools. IMO it makes sense to introduce it into anarchist spaces only when we can run our own AI resources independently from capitalists. But before that, we're also going to need some technically informed theory about the ethics and philosophy behind AI.
This might be an unpopular opinion, but I think we need more technical training on how to use AI, both the training/testing workflow and the mathematics behind it. In general, I think that we need to learn more about the technical tools of the oppressors, like missiles, UAVs, LRADs, surveillance technology, etc., so we can properly combat against them.
I don't trust cops ~~, or most people, with sleeves of tattoos~~.
FTFY. ACAB. Nothing wrong with tattoo sleeves.
Bad. Just rotting in the house unable to do anything I'm supposed to be doing. I need to get the fuck out of this house.
There is no justification for genocide, including genocide itself.
ME TOO!
I feel like the signal processing community is really passionate about their work. It comes out in their books. I know I can talk for hours and hours and hours about signal processing. And my DSP professor was like that too. That was such a fun class.