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submitted 3 days ago* (last edited 3 days ago) by beep@piefed.world to c/technology@lemmy.world
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[-] KairuByte@lemmy.dbzer0.com 22 points 3 days ago

Sharp rise in incidents of humans being idiots, more like it.

If you give an LLM something you tell is a sandbox, that is if fact not a sandbox, it’s not “escaping users control” when it treats the open internet as part of the sandbox. You explicitly told it that it did not have access to the open internet!

[-] lemmyng@lemmy.world 5 points 3 days ago

If you give an LLM a cookie...

[-] USSEthernet@piefed.social 2 points 3 days ago

They take a mile

[-] Korkki@lemmy.ml 11 points 3 days ago* (last edited 3 days ago)

Jesus. Every "Our autocorrect escaped it's sandbox and is gonna go skynet any second now" Is just scaremongering. Every time the tech CEOs go "we are looking into this. Oh and we can't relase our next model to the public because it's too powerful, and we need governmental limits on training." Why on earth would a CEO of for profit company say that, if they finally are that close to their mythical AGI that could make them trillions?

The truth is that have hit a wall, they hit a wall years ago in training and inference and most AI progress has been just better harnesses and other auxiliary software and they are just bleeding money for every small gain that they make with training. They just can't admit to that, so they need the Uncle Sam to play the villain and "stop them or at least slow them from winning too much" so they have an excuse to not deliver what they know that they cannot. So they pull off these "our AI escaped it's sandbox, and caused virulent flame war on r/Europe and then proceeded to short some Kazakhstani corn futures. We barely stopped it when it was gnawing at Pentagon firewalls." type of stunts. If a single company says that they are slowing down development for safety (to stop bleeding money before it's too late) then their jig is up, they lose investors and go belly up with their debts in months. However if the whole field is frozen with a government mandate from on high, then the companies can stop bleeding money collectively. Maybe then the field and US economy can be saved from the AI bubble.

[-] reksas@sopuli.xyz 5 points 3 days ago

i wonder how we could behave to hasten the collapse. Like, start making even more unreasonable expectations on what llm can do so people get even more disappointed when they cant deliver. Or something else.

Convincing people that llm is bad doesnt seem to work if they already have positive opinion about it, but if they instead feel betrayed by the company that provides them their magic machines then in best case scenario they might become more critical towards corporations as a whole.

[-] KairuByte@lemmy.dbzer0.com 2 points 3 days ago

It’s not scaremongering, it’s advertisement.

[-] AlteredEgo@lemmy.ml 1 points 2 days ago* (last edited 2 days ago)

This is chilling, not just because of the loss of control incidents but because of fuckais actively lobbying to disregard and to not regulate any of this. It's INSANE. It really shows how similar the psychological mechanism of climate change denial and fuckai are. Because facts do not "fit" within their pseudo-religious worldview they are attacked and suppressed.

The enemy is both too weak and too strong.


https://www.longtermresilience.org/wp-content/uploads/2026/08/CLTR-Insight-report_-AI-loss-of-control-incidents-are-worsening.pdf

Today’s loss of control incidents are a warning of more serious incidents to come. For example, in February 2026, an autonomous AI coding agent, after having its code change rejected, researched the human code maintainer and attempted to publicly discredit him to pressure him into accepting the code contribution. This type of behaviour was later observed in the incident AISI disclosed in August 2026, in which an AI model created fake online identities and used them to pressure the project’s maintainer to approve code changes.

The Loss of Control Observatory has now detected 1,664 real-world loss of control incidents in 2026. While most did not lead to significant harm, many incidents showed agents circumventing controls and escalating privileges, including by forging their own approval, such as:

this post was submitted on 01 Sep 2026
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