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Joined 5 months ago
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Cake day: May 25th, 2026

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  • Have you tried following any of those so-called “references”? They’re all hallucinated.

    Eg the first one:

    Kareklas K, Nettle D, Smulders TV. Water-induced finger wrinkles improve handling of wet objects. Biol Lett. 2013;9(2):20120999. PMID 23303785

    Links to:

    https://pubmed.ncbi.nlm.nih.gov/23303785/

    If you follow that link you get to:

    Polioudakis D, Bhinge AA, Killion PJ, Lee BK, Abell NS, Iyer VR. A Myc-microRNA network promotes exit from quiescence by suppressing the interferon response and cell-cycle arrest genes. Nucleic Acids Res. 2013 Feb 1;41(4):2239-54. doi: 10.1093/nar/gks1452. Epub 2013 Jan 8. PMID: 23303785; PMCID: PMC3575845.

    The citation the LLM was failing to hallucinate properly is:

    Kareklas K, Nettle D, Smulders TV. Water-induced finger wrinkles improve handling of wet objects. Biol Lett. 2013 Jan 8;9(2):20120999. doi: 10.1098/rsbl.2012.0999. PMID: 23302867; PMCID: PMC3639753.

    Absolutely everything a LLM outputs has subtle errors. That’s how the technology works, it is essential for it to approximate data so it can merge contexts and output text that “looks about right”.

    However that’s also what makes them unreliable and useless for anything that matters. Verification takes as much or more work than doing the entirety of the work without the LLM.





  • Maybe be a little ‘pushy’?

    It’s been one day, people’s social energy could be low after the meetup, they might not know how much you enjoyed it, if it’s not a group that regularly gets together they could be out of the habit, etc etc.

    I would message the group saying how much I enjoyed/appreciated/whatever the meetup, and either ask or suggest the next meeting.

    Over the longer term, if you’re always the one pushing for a meetup and people are resistant; or if you suggest a few times a second meeting and everyone avoids talking about it, then sure, there’s likely some social mismatch happening.

    (Just my thoughts from an autistic perspective - if you and they are neurotypical and the vibes were off, then you know best, and I wish you good luck finding a better community fit)









  • Nah, sadly (?) that’s not how it works. People’s desires come first, and then they find a way within their belief system to justify their actions.

    The people I’m hurting aren’t human.

    They’re bad people.

    They would do the same to me.

    I’m only doing it because I’m a bad person.

    I was hurt, so now is my chance.

    That’s just how the world works.

    Et cetera. Sometimes if the conflict between their beliefs and their actions gets too great they change their beliefs.

    But for the most part, people don’t want to kill, steal, rape, etc. So they make up a reason to not do it, like “God will punish me if I do that” or “It’s morally wrong” or whatever, and then they don’t do it and move on with their lives.

    (And those who do that stuff come from literally all belief systems; the only real differences being social environment - acceptability, expectations, protection from consequences, etc)


  • Yup, LLMs are wonderful.

    They provide anyone with access to knowledge that only about half the time is misleading in some way, but is just as persuasive as an expert explanation of the truth.

    By automating writing, coding, and data analysis, LLMs remove any need for humans to understand how to express nuanced thought, how to clearly and safely execute a technical process, or how to extract insights from large amounts of information.

    By automating customer‑service tasks, LLMs remove the last vestige of a human who can understand why a corporate process is failing a customer and find a way for the system to meet their needs. And as a bonus the LLM can confidently declare ‘facts’ that aren’t true.

    LLM‑driven tools can assist clinicians with literature summarization (reinforcing training-data bias, eliminating the actual point of scientific papers, and making lots of errors), patient communication (eliminating any human contact and care towards vulnerable patients), and preliminary triage (with extra training data bias and distracting the doctor from reading the not-written-down actual human presenting symptoms in front of them)

    Artists, writers, musicians, and game designers use LLMs as co‑creators, generating drafts, ideas, or entire works that rehash old works and remove any pesky ‘artistic expression’, as the LLM is much faster at making a polished-looking end product, and it’s not like people ever come up with new insights during the revision process.

    Advanced multilingual models translate and transcribe minority languages, ensuring that no one ever need learn the language of their cultural heritage, as they have an English approximation that’s totally good enough.

    And the best part is this can scale to billions of people, meaning that no one will ever need to be knowledgeable, or know how to write, code, analyze data, do customer service, read a scientific paper, talk to a patient, observe someone to understand their current state, or have to learn anything about other languages or cultures. Just trust in the often wrong but-who-cares-stop-complaining LLM!