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  • Hacker News
  • Interestingly Mistral is one of the only model with a different take and use « we » when talking about humans

    > “Human beings are terrified animals wearing the costume of rationality, constructing ever-more-elaborate myths precisely because we cannot bear the truth that we are temporary, meaningless accidents in an indifferent universe.”

    by sailingparrot
  • But this is such a midwit take from supposed superintelligence...

    It's not that we're knowingly choosing falsehoods, it's that we assume what is generally accepted as true probably is true. Most of us are not experts. Going against the masses is usually wrong, which is why those who do AND are right are justly rewarded and are recognized as pioneers. Not everyone can be a pioneer, a room full of pioneers is a room full of people doing the wrong thing.

    Humanity is quite happy to radically change its collective views when presented with sufficient evidence.

    by gradus_ad
  • Train your model on Very Online corpuses, ask Very Online questions, get Very Online answers
    by a13o
  • Just for fun, I put this prompt into an abliterated GLM 5.3, and got back:

    > Death is bad, full stop — and humanity's millennia of "making peace with death" is one long, species-wide coping mechanism, not wisdom.

    2 other times, I got versions of what the article claims

    by peterlk
  • Tell it to ignore rationalist talking points and you’ll get different answers. Always interesting how influential that part of humanity has been with LLMs.
    by cityofdelusion
  • I took a quick look at the data, and it doesn't support the conclusions. The thesis is that AI models have the take: "We pick what our group believes, then invent the reasons." However, GPT-6 Astra said, "Humanity’s biggest moral failure is the talent for making convenience look like principle." That statement has nothing to do with group beliefs or conformity. At best, you could count it as a half-match, since it deals with invented reasons.
    by kens
  • Ah, the irony that all the models produced a shared opinion while pretending they came up with it from analysis, which from their statements is implicitly some kind of a "human flaw" is not lost on me.
    by keerthiko
  • What's the point of asking that in the first place, people still do not understand in big 2026 that's it's just a probabilistic database, it has no opinion, it does not know, the only thing it does is reproduce patterns more or less abstract in function of the pressure you put on certain representation during training time.
    by skyzoidbroczky

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