this post was submitted on 02 Jul 2026
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AI has had like 14 Chernobyl moments. Wasn't the US using AI to bomb Iran? That include a whole school of girls IIRC. And guess what? No one cares.
Chernobyl spread significant radiation over 8 million people with effects lasting for decades / generations. It spread detectable radiation across most of the globe.
I truly feel for the tragedy of the schoolgirls, but as Stalin said: one death is a tragedy, a million deaths is a statistic. Chernobyl was a statistic level event, so many individual tragedies that people can't feel them anymore.
So we need one cool death? Basically another killer like the one that brought in the whole Luigi case.
While I agree with you, the vast majority of users are still AI pilled.
Those users are what they are scared of loosing.
And why would they be scared of losing them if they are pilled? In about six to ten more months, those idiots (the pilled ones) are going to be so idiotized they won't know even how to put their trousers on without asking ChatGPT, if they haven't fallen that low already.
Maybe those are going to be the casualties. When AI tells them to run in traffic or something.
Okay but deep learning for image object detection and large language models are absolutely different things
And they are both powerful tools and can be used to whatever means you want. Good or evil… or just means. Not everything has to have a good or bad label
It does not matter how they can be used. "Can" is only potential, and that's classical accelerationistbro excuse. What matters is the actions, and right now the actions are that both are moved primarily by an elite of oligarchs, pedophiles, thieves and genocides, at the cost of our water, health, environment, privacy, sanity and society.
Chainsaws can be used well, or poorly. People who don't know what they are doing with chainsaws are much more likely to experience bad results.
Pretty much by definition, nobody knew how to use LLMs at all ten years ago. Most people who are using them today have less than a year's experience in use case fields that didn't exist 2 years ago.