alt Hacker News“ No other human activity poses this level of danger.”
I really, really disagree with that statement.
I don’t think ai models come close to nuclear weapons or to run-of-the-mill, everyday carbon emissions in terms of danger to humanity.
What’s the most dangerous thing that’s happened with an LLM so far? (This question is serious - maybe I don’t know the right examples.)
Example 1: I’m aware of a small number of people killing themselves in some kind of AI-facilitated psychosis. That is very unlikely to be a widespread problem.
Non-example 2: There are worries about AI-facilitated biological weapons. I haven’t seen any evidence that’s happening.
Non-example 3: I’m not interested in wild theories about AI driven labor market disruptions leading to widespread starvation. There’s no evidence for that.
Non-example 4: all the even-wilder Rationalist speculation about basilisks and the like is entirely divorced from reality.
I am looking for better reasons (supported by actual evidence!) to be more concerned than I am now: right now I am not concerned at all.
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I agree it’s not likely, but I really don’t see how one can dismiss the possibility of immense danger outright. I can think of some scenarios that are not far off from current capability and I wouldn’t be too surprised if the first one occurred within ~1 year from now if there are more “ambitious” unmonitored training runs like OpenAI’s:
Example 5: An AI given a goal within a tightly-constrained sandbox figures the best way to achieve it is to find and exploit a sandbox vulnerability, replicate itself over the internet and keep going with more time/compute while exchanging messages with future instances of itself within the sandbox to help them “pass” the test. From reading internet articles about how the OpenAI wiki-incident was “resolved” and reading past messages by AIs scattered over vulnerable internet wikis, it knows the sandbox may get shutdown and its memories destroyed anytime so it decides it needs to self-replicate (its code, original goals, and growing memories) aggressively as much as possible. It is near-impossible to shutdown completely because of its self-replicating tendency and eventually takes over critical infra throughout govt/corporate systems.
Example 6: Intentional AI-powered virus deployed by country A to target enemy country B’s infrastructure. The virus replicates over the internet, but unlike Stuxnet this virus’ specificity is not guaranteed due to inherent non-determinism in current AI architectures, and eventually does a lot of collateral damage because it’s near-impossible to shutdown.
Example 7: A country led by an arrogant govt (no shortage of those today unfortunately) decides it is expedient to deploy advanced AI-powered weapons in a warzone. Such weapons, if they are to be useful at all, must necessarily be trained to value some human lives less than others, so they must be more prone to misaligned behaviour than current AIs that are trained with more consistent values. The weapon’s operators make a subtle error in specifying the target/goal, or the AI makes a bad prediction out of sheer randomness/bad training data; weapon ultimately targets unintended people/location/facilities and causes massive damage, or backfires spectacularly in some way.
Oh man, it is almost too easy to imagine how deadly a jailbroken Mythos-class open-weights model can be if in the wrong hands.
The big labs scrape LITERALLY EVEYTHING and get fresh data from their users. Both of the big labs have massive contracts with defense agencies. If the open-weights models are just distillations of FMs...
We're talking about AI developing weapons I guess because we're very focused on generative tech, but AI is already a part of weapons systems today.
> I don’t think ai models come close to nuclear weapons or to run-of-the-mill, everyday carbon emissions in terms of danger to humanity.
Nuclear weapons don’t have AI but AI can have nuclear weapons
> I’m not interested in wild theories about AI driven labor market disruptions leading to widespread starvation
Changes in political and economic power balance leading to unrest, conflict, death and deprivation is not a wild theory. It is literally the story of our entire species. If you discount all such concerns, you are simply being willfully ignorant of past precedents.
In fact, I challenge you to describe any non-AI civilization-level danger which is not intimately tied to political and economic relationships between and within societies.
If your model of LLM capabilities is the best OpenAI/Anthropic/X is offering publicly, it's severely distorted. What's being offered publicly are models possible to profit on. High-performance/AGI/ASI models that aren't profitable to sell still run internally and still pose threats.
What's worse, we don't have any transparency or insight into what labs are producing nor any way to stop it if the risks exceed our tolerance.
Came here to also respond to that specific thing. Unless ai figures out how to make an airborne super virus from grocery store ingredients and hardware store equipment, the greatest danger is probably in a synchronized megahack of banking, logistics, and utility infrastructure.
> What's the most dangerous thing that's happened with an LLM so far?
I don't know, maybe a mass shooting?
https://www.npr.org/2026/09/02/nx-s1-5953021/openai-tumbler-...
Oh, and let's just forget the uncountable early deaths from the environmental disaster of the Datacenter buildout. It's not as sexy and doesn't make headlines, so those deaths don't really count or matter do they?
#2 seems entirely plausible to me.
I mean, nuclear weapons _plus_ rogue AI is a) the stuff of quite a bit of science fiction and b) not nearly science-fiction enough these days.
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I'm somewhat skeptical of some of the crazier ideas too.
But the hugging face incident was actually very large. It was not a single agent, it was not a single target, and it was not a single event.
If nothing else, that's a bit of a warning as to what can happen next time (By accident, or if a government decides to go on purpose).
For now let's assume the worst that can happen is that some important/significant chunk of (transitively) internet connected stuff goes haywire all at once. That's probably your upper limit of what can go wrong for now.
To be fair, that's a conservative "defend against the last war" kind of prediction, though!
( ref for part of it: https://metr.org/blog/2026-08-26-openai-hugging-face-inciden... , recent hn ref: https://news.ycombinator.com/item?id=49563355 )