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Cake day: June 16th, 2023

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  • When President Donald Trump was reminded in an interview with Time magazine this week that he had said he would end the Russian war on Ukraine on “day one,” he claimed he hadn’t been speaking literally or seriously.

    “Well, I said that figuratively, and I said that as an exaggeration, because to make a point, and you know, it gets, of course, by the fake news [unintelligible]. Obviously, people know that when I said that, it was said in jest, but it was also said that it will be ended,” Trump said, according to Time’s transcript.

    This “in jest” claim is a lie.

    On the campaign trail in 2023 and 2024, Trump said on dozens of occasions, in an entirely serious tone, manner and context, that he would end the war in Ukraine either within 24 hours of his return to the White House or even sooner than that. He said over and over again, including at both presidential debates of 2024, that he would have the war “settled” when he was president-elect, before his inauguration.

    A Friday search of the Roll Call Factba.se database that catalogues Trump’s public remarks turned up at least 53 examples of Trump making such comments.

    https://www.cnn.com/2025/04/25/politics/fact-check-trump-ukraine-war





  • Hardware I’m running:

    • 8/16 AMD CPU
    • 32GB system RAM
    • 12GB GPU VRAM (AMD)

    I’m mainly using these MoE models:

    Qwen-3.6-35B-A3B

    • Q4_K_M quant quality
    • 128k context (conversation length before it compacts)
    • Gives me about 260 prefill and 19 token gen speeds

    Gemma4-26B-A4B

    • Q8 quant quality
    • 128k context length
    • Gives me about 190 prefill and 14 token gen speeds

  • 9tr6gyp3@lemmy.worldtoSelfhosted@lemmy.world•how do you manage your server?
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    29 days ago

    I created git repos on my main workstation for each homelab server/service I maintain that keeps:

    • documentation
    • notes
    • lessons learned
    • scripts, configs
    • runbooks
    • backup details
    • security audit details
    • log items that need attention
    • infrastructure

    I just point a local LLM (offline model that runs on my workststion) into those repos and ask it to perform certain things on those servers. It can do things like update packages, install packages, make config changes, set/check permissions, read logs (and fix errors in real time), and check the health of the overall system.

    I have it run pre backups before making changes, then post backups once its done.

    Once changes are in place and everything is running okay, I ask it to update documentation in the repo and tag the release.

    I use opencode that connects to a llama.cpp service. opencode lets me gate the AI so that any elevated commands that it needs to run (e.g. sudo or ssh), I have to approve it. It cant just go around making changes without permission.