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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)AH
ANarcoSnowPlow [he/him] @ ANarcoSnowPlow @hexbear.net
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2 mo. ago

  • I don't hate people so much as I prefer trees and animals to people.

    I enjoy my chosen people, but even then, I don't have unlimited tolerance for social interaction. I still require quiet and people free space.

    I'm the kind of person who enjoys living within 10 miles or so of a big enough sized town that we have robust services and amenities, but small enough that 10 miles feels sufficiently isolated that it's possible for me to spend a day seeing only flora and fauna.

    I'm aware that I'm extremely inefficient in that way, but being human is rarely about efficiency.

    I assume this applies to owls as well.

  • They don't actually exhibit these characteristics. They simulate them by stringing the proper words together in sequence. There is no understanding or deeper capability and analysis. There's no actual intelligence.

    As a translation utility it's quite powerful, but anything outside of that extremely narrow space is only "shaped" like a real response, there's no underlying rationale other than statistical analysis of word frequency.

    This doesn't magically change with a large enough scale applied, it only takes on conversational meta-patterns. This fools non-experts in specific categories into trusting the "analysis" it provides, even though it is incapable of providing coherent analysis.

  • LLMs and various other forms of machine learning have been around for a long time, these models are doing the actual work advancing science and understanding.

    Chatgpt et al are advancing the field of taking unverified information as expertly sourced and true without any evidence.