This skinny bitch …
in_my_honest_opinion
Cleveland Rapid Response could use donations if you can.
https://rhizomehouse.org/mutualaid/ is a good list of people you can help.
Shit is going down in Minnesota but they’ve never been more organized than they are now. Only we keep us safe.
If you want to help you can donate to a few groups.
https://www.gofundme.com/f/help-equip-twin-cities-legal-observers-with-ppe
https://nlgmn.org/mass-defense/
https://www.wfmn.org/funds/immigrant-rapid-response/
More comprehensive list here https://www.standwithminnesota.com/
How to organize a rapid response from a very high level with further detailed resources. https://southerncoalition.org/resources/rapid-response-101/
Good general advice on organizing, also a good resource to find groups near you that are likely aligned. https://www.fiftyfifty.one/organizer-resources
Feel free to reach out for any other resources.
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Cake day: January 21st, 2026
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111·6 days agoThese comments prove billionaires are hoarders with a mental illness. Nobody here is looking to make more billions.
6·6 days agoThing 0 you can use qm terminal
Thing 1 use ZFS no need for LVM
Thing 2 see above for zfs set share nfs
Thing 3 spice vnc is built in
Thing 4 you should check out QubesOS if you haven’t already…
You should especially look at https://pve.proxmox.com/wiki/Install_Proxmox_VE_on_Debian_13_Trixie
2·7 days agoThe banana factory, and the fish pedicure are my favorites
A true Machiavellan tells you the other person is the Machiavelli type.
1·8 days agoOh absolutely! I try to always start from cli and config files first personally so keycloak made a lot of sense to me. Good luck with whatever you choose.
What’s the difficulty with keycloak? I just set this up last weekend
https://oneuptime.com/blog/post/2026-03-18-run-keycloak-podman-container/view
2·12 days agoThat’s SOP for a lot of municipalities, they all share to a centralized database. The ship to prevent this sailed in 2002. The Patriot act was a mistake.
TACO
Did I say anything about a gun? Terrorism is about projecting politics using fear. That man fired into the ground as a warning.
Christo fascist terrorism that has grown from the stochastic terrorism of this administration that was buoyed to prominence in 2016 by Fox News and CNN who are funded by billionaires who profit from reporting on Christo Fascist Terrorism.
If you can handle the slow charging any chevy bolt from 2022-2024 is a good buy for second hand. If you need bells and whistles you’ll need to spring for the mid trim euv which has adaptive cruise, lane assist and some automated driving on the highway. For the auto driving you’ll need to spring for onstar so it’ll be a monthly subscription. You could also import a BYD if you’re in the states.
https://www.wired.com/story/this-is-how-you-get-a-chinese-ev-into-the-united-states/
What you’re referring to is passive voice. It often reframes things to benefit those in power.
https://reviewofjournalism.ca/the-not-so-subtle-price-of-writing-in-the-passive-voice/
Without the war
says you
3·1 month agoYou scoff but this is already being done in China. They desolder good chips from bad cards and add them to a mule card.
Almost like an LLM wrote it…
I mean what you’re proposing was the initial push of gpt3. All the experts said, these GPTs will only hallucinate more with more resources and they’ll never do anything more than repeat their training data as a word salad posing as novelty. And on a very macro scale, they were correct.
The scaling problem
https://arxiv.org/abs/2001.08361The scaling hype
https://gwern.net/scaling-hypothesisUltimately, hype won out.
will never achieve AGI or anything like it
On this we absolutely agree. I’m targeting a more efficient interactive wiki essentially. Something you could package and have it run on local consumer hardware. Similar to this https://codeberg.org/BobbyLLM/llama-conductor but it would be fully transform native and there would only need to be one LLM for interaction with the end user. Everything else would be done in machine code behind the scenes.
I was unclear I guess, I was talking about injecting other models, running their prediction pipeline for the specific topic, and then dropped out of the window to be replaced by another expert. This functionality handled by a larger model that is running the context window. Not nested models, but interchangeable ones dependent on the vector of the tokens. So a qwq RAG trained on python talking to a qwen3 quant4 RAG trained on bash wrapped in deepseekR1 as the natural language output to answer the prompt “How do I best package a python app with uv on a linux server to run a backend for a …”
Currently this type of workflow is often handled with MCP servers from some sort of harness and as I understand it those still use natural language as they are all separate models. But my proposal leverages the stagnation in the field and leverages it as interoperability.
You’re just describing symptoms of the disease. The problem is that this “power” exists in the first place.