in_my_honest_opinion

Been security theater since inception.

Hey I know! Lets clump all of the civilian targets in a big group and make sure we pack them tight BEFORE we check for bombs. Bombs that get through anyways.

https://duckduckgo.com/?ia=web&origin=funnel_home_website&t=h_&q=TSA+fails+security+audit+guns+bombs+probe

Want to help em fight bullshit charges? Donate to groups like https://nlgmn.org/mass-defense/

Angie Craig can go to hell.

Absolutely this ^

She knew it was wrong when she did it. Now that it’s inconvenient for her she apoligizes. Primary her ass.

And what is to come of all these hearings? I’m not seeing any calls to prosecute these assholes coming from the Dems in the Senate…

Always buy refurbished laptops, including MacBooks.

I would need to hear him say Okee Dokee. Or his response to a surprise “PABST BLUE RIBBON!” To guarantee he is not in fact Kyle MachLachlan

Doubt

There’s many good articles out there if you have the time. It boils down to stolen code, forced identification and enshittification.

https://sfconservancy.org/GiveUpGitHub/

https://laoutaris.org/blog/codeberg/

https://blog.joergi.io/posts/2025-09-20-migrate-from-github-to-codeberg/

A tiny funcking trickle. There are terabytes of documents and video footage.

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 to do if you’re stopped

https://www.dwcac.net/ice-checkpoint

Did you document the setup? I’m interested in hosting this.

What you’re referring to is passive voice. It often reframes things to benefit those in power.

https://professorscottsenglish.com/english-grammar/common-grammar-mistakes/overuse-of-passive-voice-2/overuse-of-passive-voice-in-journalism-and-media-writing/

https://reviewofjournalism.ca/the-not-so-subtle-price-of-writing-in-the-passive-voice/

Exactly this.

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stripped the headers, your image didn't make it through the infosec.pub proxy. 

X-Firefox-Spdy: h2 access-control-expose-headers: vary, date, content-length, content-encoding, content-type cache-control: public, max-age=60 content-encoding: br content-type: application/json date: Fri, 27 Feb 2026 02:10:57 GMT server: nginx vary: accept-encoding, Origin, Access-Control-Request-Method, Access-Control-Request-Headers

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Without the war

says you

You scoff but this is already being done in China. They desolder good chips from bad cards and add them to a mule card.

https://overclock3d.net/news/gpu-displays/chinese-developers-create-modified-48gb-nvidia-rtx-4090d-and-32gb-rtx-4080-super-gpus-for-the-ai-cloud/

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/2001.08361

The scaling hype
https://gwern.net/scaling-hypothesis

Ultimately, 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.