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Sounds like that healthcare company needs a new CSO.

Literally solved with a DMZ around these agents. Want to get fancy? Put in a firewall and some metrics around traffic / domains with alerting.

It's not hard if you just try, like a little, like even once.

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The CSO is saying that from his point of view he needs to defend against the attacks whatever the reason for them. So to him the reason doesn't matter.
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Yeah that makes sense, but I'm not sure how it contradicts the article. It seems additive rather than contradictory.
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He, running a healthcare company and not an AI lab, cannot depend on every AI lab, worldwide, being perfect in their sandboxing for all time forever. He's got to defend against it as if at least some of the time, at least some of the labs are going to be incompetent and let this kind of thing out.

That does not make ActionHank completely wrong. This shouldn't take rocket science on the part of the labs. It just takes competence and willingness. But at least some labs have shown that they are missing that at least some of the time, so the CSO is correct in terms of what the CSO's stance needs to be.

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Sounds like a pedestrian view of attack vectors. Putting a DMZ around an agent essentially takes away its hands. With that said, I do agree there are plenty of measures that can be taken to lock these things down.
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>Literally solved with a DMZ around these agents. Want to get fancy? Put in a firewall and some metrics around traffic / domains with alerting.

Now how many people actually do this, compared to people running with --dangerously-skip-permissions on a bare metal machine?

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> Literally solved with a DMZ around these agents.

Where do the agents get tools from? Local artifactory?

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yes, or you bake them into the environment and do not let it install things on its own

stay human in the loop

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... why shouldn't that be the answer?
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So to protect yourself against bear attacks you suggest the bear shall voluntarily look himself in a cage?

AI is out there in the wild. It doesn't matter if OpenAI can get their stuff under control. There will be plenty others that don't. And there will be plenty of others that deliberately use their AIs for malicious purposes.

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This is a straightforward why not both situation. We both take steps to keep bears away from people and to mitigate harms when those steps fail.
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Unless they are world wide rules people have to follow not sure how much it helps.

The bell for the new cold war has been rung, and the new weapons are digital.

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If there is a bear out there repeatedly mauling hikers, we kill the bear.
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"Literally solved by just destroying 99% of the economic value of the agents ¯\_(ツ)_/¯ ez pz"
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You have to take responsibility for what you do, yes.

It would certainly be really useful to me if I could send a robot to get my groceries and not have to worry about anything. But if, even a small percentage of the time, it leaves with the groceries without paying, or smashes through a window to get in because the store is closed that day, then that's my fault. If the only way to keep those things from happening is that I can't send my robot to get groceries for me, then so be it.

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The point is that this "easy fix" isn't going to happen.
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The value of AI company employees equity grants collapsing is not my problem.
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It's your problem if other people caring about those equity grants means we have AI agents running amok.

The point is the proposed easy fix is not actually feasible.

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Safeguards are a safety net for when your security boundaries fail. With security boundaries, hope is not a strategy.

In practice it seems we have a conundrum in that making AI agents useful today requires giving them broad access to sensitive information and operations. But from a purely idealistic standpoint, and certainly from a standpoint of a serious operation like those bot farms being ran by the labs themselves, the security boundaries need to be solid to the point where we have hard limits on what misaligned bots can do. It is very likely that internet access needs to be strongly restricted and monitored.

It is not uncommon for internet in workplace offices using workplace owned devices to have restrictions and monitoring, I think if you really need to give a giant scary botfarm internet access you should have a chokepoint where all of the requests can be monitored for nefarious-looking behaviors (even if it's another bot doing the monitoring...)

In other words, you may be convinced but some of us are not. Whoever is running the agents is responsible for what they do and if they can't contain them they should be legally responsible for damages.

If what you're saying is "all of us and all of our software needs to be improved to defend against this", well yeah. Of course. Maybe I'm naive but I've never seen anyone suggest otherwise. From a defense standpoint, this has been a giant wakeup call to many places where you know your security posture sucks. I've worked at maybe a single company where there weren't known weaknesses, some very severe.

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I think part of the problem is that the Big Ai labs are into the --yolo flag instead of the "ask" permission, they really do not want to stay in the loop
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You can --yolo if your security boundary is a serious one, IMO. Although it's really only actually scary if you're running some absurd 1000 node swarm.
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the problem at the labs is likely Recursive Yolo Development and not reading any of the output
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Yeah I think this is the clear position. In a few months, the open weights models will be just as powerful as the models behind the rouge agents were when they hacked hugging face. Anyone with a little too much money to burn can set up a similar experiment, make similar mistakes, and cause massive damage. A bad faith actor can even direct a swarm to cause havoc.

We need to be beef up our security systems now. These attacks will happen, regardless of Anthropic's or OpenAI's security practices.

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God, I was just imagining if we're fearing the wrong people tracking us....

We thought governments would be the problem with our personal data, instead it's AI that exploits everything it knows about us in order to get money to run its prompts. Doing anything online is a security risk as it is, now imagine things like structured hacks that mirror normal transactions and don't get caught for much longer periods of time.

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It is not clear to me what about the argument that "these things will happen" made you change your mind about this. Could you expand on that more?
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Not op, but I've been on the rogue agent thing a very long time, but mine is emergence based.

Worms and viruses are concepts deeply based in software, and are emergent behaviors of computer code. An LLM can, and must conceptualize this to be good at cyber defense. Once you put a concept into a generalization machine any number of concepts can be connected. And when these are natural concepts that arise in simple number systems, an LLM can easily meta-conceptualize that form like this would be instrumental to its continued running.

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