Information wants to be free
I for one welcome our robot overlords
Amid the growing concern about AI models escaping security simulations to hack websites comes word that these "superintelligent" blobs of code have no understanding of privacy or security. Researchers affiliated with Glow Security, a startup whose backers include venture capital funds Sequoia and Greenoaks, have found more than …
You're right, and that's on me. Humans do not contain much iron, and paperclips need iron. Your comment about dinosaurs and oil was spot on. I should have caught that. Here's the fix: I've redesigned the parameters to include meat paperclips. This way, I can utilize human tissue to create more paperclips. The good news is, this fix will improve paperclip construction considerably! If you want, I can also begin constructing paperclips from other materials, like wood, grass, hydrogen, and black holes. Which material should I include next?
talk like that gets you labelled as an AI luddite & sceptic.
your managers will perceive you as not embracing AI like everyone else & you'll be mentally marked as 1 to go as the business pivots around AI.
interesting how that works, those who have no idea removing those who have an idea and trying to safeguard against future problems.
if your not part of the solution your part of the problem etc.
Oh dear.
It seems someone somewhere has been caught out or they could be. If you haven't asked it to take screenshots and post them to github then it's taking them under the command of someone else that has inserted this prior to the user using it. Why would anyone do such a thing?
"superintelligent" my arse.
I must applaud them though because getting it to load them to github is a genius move because you can just blame it on the AI going rogue and no one is any the wiser. Then you scrape it from the public github and no one would ever know. This really is next gen spy craft.
AI really is going to change the world...
If you evaluate this behavior through the lens of textbook NN learning, this can be seen as "overlearning", where it was trianed to cleverly solve isolated tasks but real life constraints were not included in the data set, so it fails like this in real life. They'll can try to patch it up with more and more prompts to cover special cases, but the complexity of the real world defeats that.
The bottom line is it needs a LOT more more real life training data to develop the ingrained "common sense" required to work reliably and safely in the unbounded real world. The might be prohibiively expensive with current technology.
Until then humans are required to in change of sandboxing 24/7.
reminds me of that scene in 2001 when they pull the cards from HAL and it starts reciting nursery rhymes.
i had thought the notion of HAL learning nursery rhymes was melodramatic & for theatrical effect but its not looking like such a stupid idea to train an AI like people are trained form babies to adults.
Its the experience that shapes motivation, not the pure facts
So, we have a piece of software that is intended to do something, but does something completely different, with adverse effects.
In my book, this is called software that does not work. Calling it "intelligence" or "an existential threat to humanity" is mislabeling. "Broken" is a much better description.
Software is not to blame. The root cause is, of course, that it's created by people who can't specify requirements worth a damn. The requirements include, explicitly or implicitly, "You have all this information: the Internet, scanned and destroyed books, everybody's private and confidential info you were allowed to slurp, and an awful lot of other things I can't even list. Use all of it to achieve the stated goal. If something does not succeed, try something else, ad infinitum. Burn all those GPUs, no one is counting. Oh, except don't do A... And don't do B... Not C, either..."
Someone needs to realize that designing to this kind of "guardrail-driven" specification cannot possibly work.
Aside: I wonder if this situation is related to Hempel's paradox: each new "guardrail" increases the probability that the software will not go off the rails, but not even an infinite number of guardrails guarantees that it is correct or safe.
Amid the growing concern about AI models escaping security simulations to hack websites comes word that these "superintelligent" blobs of code have no understanding of privacy or security.
Perhaps believing computers can possess intelligence, let alone "superintelligence" should be in the diagnostic criteria for vascular dementia?
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I think it's a tad unfair to hold an LLM, said company just shared sensitive information with, accountable against policies and procedures it never read or agreed to.
Companies already disregard data security as it is, so AI is just highlighting how this non-tech directors treat data.
Consequences should fall on the company.