It’s not Mutually Assured Destruction though. It’s not even retaliatory. If Canada were to immediately stop all exports to the US and pivot to an EU/China based economy the fallout would disproportionately affect the US. The key to this is that Canada is the smaller and more insular trading partner.

https://www.akpress.org/downloads.html

Is another great DRM free bookstore.

Actions speak louder than words, and Trump torpedoing the Ukraine minerals deal and fucking up NAFTA and abandoning soft power with dismantling USAID tells a person all they need to know. Regardless of the actual modulus he’s furthering Russian goals.

Who asked?

Yes. You can always build from source; f need be

Zelensky, the adult.

Yes the sky is falling. What we can do is local. Please be safe and I wish you all success in your endeavors.

Ah, thanks for the clarification. I was under the impression it didn’t call out to mozilla servers if you didn’t enable sync.

I guess Mullvad would be the next popular browser yeah?

Gloating that you were right at the end of the world. What a strange flex.

I’m going to assume you don’t have a strong grasp of just how fucked the electoral college and voter rights are in the US.

https://www.aclu.org/news/civil-liberties/block-the-vote-voter-suppression-in-2020

https://www.cgpgrey.com/blog/the-trouble-with-the-electoral-college.html

https://www.democracydocket.com/analysis/how-long-lines-affect-turnout/

I don’t expect you to read those. Because you’re lobbing easy potshots and offering no constructive criticism in response to my admittedly frustrated sarcastic comment.

These are for people that are interested in understanding the problem and would like to organize grass roots efforts to combat it.

I’ll post organizational resources when I get to my desk.

You can always install a fork different browser

https://mullvad.net/en/browser

librewolf.net

Oh look there’s an adult in the room. Can we keep him?

Is it an alternative account you use for differing purposes than other accounts?

Yeah, it’s harassment is what it is.

The best advertising is word of mouth for good reason

That comment was not criticism of any of Zelensky’s positions or choices. It was word salad of Russian talking points.

Whoah, you get paid to spout all that or are you volunteering your time?

Meanwhile Zelensky is saying he’ll give up the presidency in exchange for NATO membership.

https://www.bbc.com/news/articles/cn9vx01evp9o

Llama is not touted as better than ChatGPT models. On most benchmarks Llama3.3 performs worse than ChatGPT 4o and much worse than OpenAi’s reasoning model o3-mini.

Unless you’re speaking in terms of privacy and then unfortunately no one really knows as OpenAI does not release any of their metadata and Llama models are self hosted so there’s no method in which the data will leave the LAN they’re hosted on. It’s a case of apples and oranges.

My codebase is almost 1.2GB of raw python and go files no images. I think it’s somewhere near 15k tokens for the python codebase and 22k for golang due to all the .mod and .io connectors to python libraries… it was a much bigger mess before if you can believe it.

What size model are you using? I’m getting pretty good results with R1 32b but these have been distilled to be experts in the languages of the codebases. I’m not using any general models for this.

Also it depends on the language you’re targeting as well. Rust or Lisp have issues due to how much less they’ve been documented. I think golf type languages like brainfuck are impossible. It really comes down to how the language has been documented. Python gave me issues in the beginning until I specified 3.11 in my weights and distillation/training, and that definitely fixed a lot of the hallucinations I was getting from the model.

I think static typing languages that have consistent documentation would be the easiest for this. Now that I think of it, maybe getting a typescript expert would be something I could tool around with.

Edited for legibility and the fact that I just went and looked at my datasets again. Much bigger than I initially thought.

All LLMs lie, this is why it’s important to verify what output you’re getting. A GPT is essentially text prediction that has been trained on a very large dataset, think of when you end up sending “ducking autocorrect” in a text. Furthermore, Deepseek has distillations of many models. Which do you have experience using?

https://github.com/deepseek-ai/DeepSeek-R1

Edit: To add even more context GPT and Diffusion models are patently not AI as they are not able to verify what output they’re giving. These are all tokens that are fed into a recursive algorithm. They’re vector database queries that have reinforced pathing. None of these “A.I.” models are thinking or reasoning, yet.