Many people found it hard to believe that AI researchers think this way. Some explained it as a PR campaign to promote AI regulation, or as self-promotion, or as a way to boost AI company stock prices. Others felt it had to be impossible, because if you really believed this you’d be bombing datacenters instead of posting on Twitter.

In fact, not only do many AI researchers1 seriously believe this, they’ve been thinking and writing about it since the mid-2000s. Eliezer Yudkowsky — the ur-figure for most modern AI safety culture — has been publishing papers since at least 2008 saying that superintelligent AI could destroy all human life. It’s been such a common idea that the AI research community has abbreviated “how likely you think AI is to kill everyone” to “p(doom)” (i.e. the probability2 of doomsday) since around 2010.

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[–] 4 points 1 month ago (1 child)

What always feels weird to me, is that we don't need that inflection point of AI turning superintelligent or whatever. Already today, we're producing drones that do autonomous killing, where we just need to scale up production.

I guess, on the plus(?) side, the same is true for bombs and we have not wiped everyone out yet with those either.

That is, I guess, where the inflection point comes in. Killing humans is ultimately quite pointless from a human perspective. But an AI with no understanding of this pointlessness might coordinate the killing with no restraint.
Or well, as the blog post mentions, it might see wiping out humanity as the solution to climate change, or as a way to end violence between humans etc..

Current AI iterations certainly prove to be much better at doing things than deciding whether these things make sense.

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  • [–] 2 points 1 month ago

    The "Paperclip Maximizer" in all of its absurdity is much closer to the actual worry of the people thinking AI might destroy us than autonomous weapons. Killer drones to me are much more of a cartoon example than something super unspectacular that's equivalent to humanity being an anthill on a plot AI wants to build a house on.

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  • [–] 2 points 1 month ago

    because if you really believed this you’d be bombing datacenters instead of posting on Twitter.

    No. That wouldn't stop AGI - only delay it at best. That's like pouring water on every person rubbing two stick together thinking it's going to stop the invention of fire.

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  • 6 comments in c/technology@lemmy.world view that post
    [–] 14 points 1 month ago (5 children)

    This is why AI researchers care so much about “alignment”: building AIs that share genuinely human beliefs and values. If we build a “misaligned” superpowerful AI — an AI with goals that are alien to us — it might sweep humanity away. It could kill everyone deliberately, e.g. to stop us getting in the way of some goal. It could kill everyone in passing, e.g. like we might pave over an anthill to build a road. Either way, everyone dies.

    Ah so they think AI will kill us because capitalism fundamentally does not value human life and thus AI cannot currently be aligned with human beliefs and values because it is funded by shareholder greed.

    That makes more sense now. Too bad no one is gonna fix the larger problem to prevent this. Might as well summon the horsemen now

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  • [–] 2 points 1 month ago*

    They’re also in a cult… I think it’s that main part mostly, tbh

    (Also, fuck capitalism, but the computer has no beliefs or values in the human sense. It’s a computer. It also doesn’t have goals unless a human gives it goals)

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  • [–] 2 points 1 month ago (2 children)

    While this is a legitimate concern for sometime in perhaps the next hundred years, our current path with LLMs is never going to produce super intelligent AGI.

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  • [–] 2 points 1 month ago (1 child)

    We don't know that.. I also don't think the current LLM architecture will achieve human-level thinking, but I do think that people will use agents & LLMs to try a 100 billion or so times to get us there... we'll likely see many different architectures in the coming years as a result, and some that are close enough to be bloody scary (and some different enough to be even scarier!) We might very well still have LLMs as part of the bigger system.

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  • [–] 0 points 1 month ago*

    Oh I'm not one of those "LLMs are good for nothing" people, I use them often at work and at home and they do have some real world use cases that are very compelling. However they are a far very from the "solve everything machine" they are being pitched as, and they do seem to be plateauing in their improvements, seems like there's not much further they are going to be able to go even with a billion people using them everyday, there just isn't any new training data that is actually useful and they don't make new data, only associations between data they have already ingested. My qwen 3.8 model running on my 3090 at home is often better than pay for play enterprise Claude at work, if not just slower. I expect local models will explode in the future due to the cost / benefit of running them.

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