Programmer and sysadmin (DevOps?), wannabe polymath in tech, science and the mind. Neurodivergent, disabled, burned out, and close to throwing in the towel, but still liking ponies 🦄 and sometimes willing to discuss stuff.

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Joined 2 years ago
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Cake day: June 26th, 2023

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  • Therapists are not supposed to bond with their patients. If you find one whom you can stand for half an hour, then take what you can and leave the rest, they’re not to be your friend or lover. The fact that chatbots let people fall in love with them, is a huge fail from a therapy point of view.

    Bouncing ideas back and forth is a good use though. A good prompt I’ve seen recently:

    I’m having a persistent problem with [x] despite having taken all the necessary countermeasures I could think of. Ask me enough questions about the problem to find a new approach.

    If you worry about privacy, you can run an LLM locally, but it won’t be fast, and you’d need extra steps to enable search.


  • You can use local AI as a sort of “private companion”. I have a few smaller versions on my smartphone, they aren’t as great as the online versions, and run slower… but you decide the system prompt (not the company behind it), and they work just fine to bounce ideas.

    NotebookLM is a great tool to interact with large amounts of data. You can bet Google is using every interaction to train their LLMs, everything you say is going to be analyzed, classified, and fed as some form of training, hopefully anonymized (…but have you read their privacy policy? I haven’t, “accept”…).

    All chatbots are prompted by the company to be somewhat sycophantic so you come back, the cases where they were “too sycophantic”, were just a mistake in dialing it too far. Again, can avoid that with your own system prompt… or at least add an initial prompt in config, if you have the option, to somewhat counteract the company’s prompt.

    If you want serendipity, you can ask a chatbot to be more spontaneous and suggest more random things. They’re generally happy to oblige… but the company ones are cut short on anything that could even remotely be considered as “harmful”. That includes NSFW, medical, some chemistry and physics, random hypotheticals, and so on.


  • Aren’t copyright laws awesome?

    • Buy digital copy… no you can’t, you can only license one
    • Buy physical book, now you have a copy
    • Want a digital copy? No you can’t, copyright forbids it…
    • …unless you destroy the physical copy in the process, then it’s only a format migration
    • Donating the books after digitizing, would be “stealing”!

    And still, they are suing them for migrating formats without authorization 🤦

    All hail Disney’s lobbying and the 150 year copyright term!



  • TLDR: It’s a mess.

    Back in the day, I started migrating notepad stuff to Markdown on a Wiki. Then on a MediaWiki. Then DokuWiki. Then ZimWiki. Then Joplin. Then GitHub Pages and a self-hosted Jeckyll.

    Each, single, one, of, them, uses a slightly different flavor of Markdown. At this point, I have stuff spread over ALL OF THEM, much of it rotting away in “backups to migrate later”. 😮‍💨
    I’ve been considering “vibe coding” some converters…

    As for syncing… the Markdown part is easy: git.
    Working with a Markdown editor to update GH Pages, was a good experience.
    Having ZimWiki auto-sync to git, was good, but didn’t find a decent compatible editor for Android.
    I switched to Joplin lured by the built-in auto-sync options, but kind of regret it now, when it has a folder with thousands of files in it.

    Obsidian is not OSS itself, but has an OSS plugin to sync to git.
    I’ve read that using Logseq alongside Obsidian should be possible… and was planning to test that setup, keeping Obsidian in charge of sync. Possibly with GitHub/Jeckyll, git-lfs for images and attachments.


    PS: assuming one could have working back-and-forth converters for the different Markdown flavors, and everything stored in git, then one could theoretically use git hooks to convert to/from whatever local version used by a particular editor.







  • Hm, makes sense, but I feel like we’re still missing something.

    I saw comments about Durov, similar to this investigation, maybe around a month ago.


    With the xAI partnership news, I looked into it and found this nice thing:

    In Telegram, you can clear them one by one, or date ranges, or use disappearing messages, but this tool still found some I had missed.

    (Disclaimer: I got pulled into Telegram by some friends leaving WhatsApp with the policy changes of 2021, my threat model is less one of FSB, and more one of indiscriminate AI siphoning for ad targeting)