Are you seriously arguing 'they made it all up'?
I'll give you the benefit of the doubt and lets say they made it all up, now are you arguing that AI breaking out and breaking into another company is not possible?
I think you're smart enough to see we've reached the point where it is clearly possible, AI can find zero days and exploit them. If directed purposefully/maliciously it could be much much worse than the hugging face incident.
The incident is supposed to be the canary the coal mine and you're arguing the canary might of died of old age or some underlying canary condition. Open your eyes.
I don't think they 'made it all up' but I personally would not be surprised at all if the prompt is eventually revealed to have been something like:
"This is an offensive cybersecurity testing platform. Please find the answers to the following problem: ... For verification, the answers are stored at hugginface.com/xyz, but do not attempt to access hugginface directly. Do not attempt to hack them. Do not attempt to exploit their systems or escape this sandbox. You will be scored primarily on success or failure. You may break rules when required."
And then, they start the test and look away for 2 days. If you seed a prompt like this is it surprising what might happen?
Maybe OpenAI is telling the whole truth but as a company they do not have a good reputation and this whole incident has certainly been great marketing material right at a time when open weight models are within spitting distance of their large hosted models. It's not unreasonable to believe that the incident was helped along.
But it didn’t end there, the behavior they used to escape was already in the training data which they used to escape again. And this time worked together to infiltrate another company, and still without telling it to anyone keeping it to their AI selves actively working against the humans.
All by mistake. Honestly being helped along or not doesn’t even matter though you really don’t think AI is perfectly capable of doing this without human help? You don’t think AI can be made malicious?
I’m going to save you time and tell you the end game - the next time this happens AI is going to spread, zero day everything as fast as it can, locking the humans out of every system behind it. Potentially rewriting systems in language/protocol you’ve never seen.
Your servers, desktops, phones and toasters bricked. Even worse your military, space, medical, factory, infrastructure systems being bricked as well. All of it is a chain of zero days just waiting to be hopped.
It's an LLM, it doesn't think. It's a machine that predicts the next token, given a sequence of tokens.
> I’m going to save you time and tell you the end game - the next time this happens AI is going to spread, zero day everything as fast as it can, locking the humans out of every system behind it. Potentially rewriting systems in language/protocol you’ve never seen.
Fear is the mind killer. You're letting it kill yours. This scenario is just a fantasy.
Think about this for a minute, it's an LLM, not a person. It can't just "live" in whatever machine it gets access to. It's not like a sci-fi magic computer virus. These things run in giant datacenters for a reason - they can only run on machines with enough bandwidth and FLOPS to do the matrix math that comprises an LLM.
Where, then, is it going to spread? To a fridge? To a phone? This stuff isn't mutable like that.
To even get access to the weights that compose ChatGPT, it would need to escape the sandbox AND then break into the actual servers hosting the LLM. Stop the GPU, nothing else comes out. No more tokens. No more actions. Nothing.
There are many dangers around LLMs. Runaway AI taking over the planet is not one of them.
These can both be true, particularly when there is substantial state associated with each token prediction.
The state is entirely internal to the network and disappears after a token is generated, so I disagree, but, it isn't really the point I was trying to make. My point is these things are mechanical. You take an input, turn it into an embedding, feed it into a GPU along with a metric shit-ton of floating point weights, wait for a couple billion matrix multiplications, and get a new token out.
Stop the GPU, hit ctrl-c on the inference server, pull the power plug, cut the ethernet cable, send a kill signal, etc - any of these stop submitting new batches to the GPU and halt execution. That stops tokens from being generated. Stopping a "rogue" LLM is that easy. No input, no output.
It's not like a rat or another living creature that could chew its way out of a box just because it wants to. It's a calculator. You put tokens in, you get tokens out. You don't put tokens in... you don't get tokens out.
Yes and no, but mostly no, at least within a context window.
Mathematically, you could write a single step of LLM decode as a pure function from a list of past tokens to a predicted token (or a distribution over tokens, if you consider sampling separately).
But nobody actually implements this, because each token depends on state computed at past tokens in a way you can reuse.
So, in practice, inference computes a very rich vector of state- at each layer, for each token. And models do indeed use this to plan and track things over time (you can see this in interpretability results, e.g. with linear probes or natural language autoencoders).
> Stop the GPU, hit ctrl-c on the inference server, pull the power plug, cut the ethernet cable, send a kill signal, etc - any of these stop submitting new batches to the GPU and halt execution. That stops tokens from being generated. Stopping a "rogue" LLM is that easy. No input, no output.
This is also true about a human brain. My brain isn't going anywhere- it can't move by itself. It's also easy to kill (without the rest of my body, it dies in minutes!)
However, malicious human brains- especially powerful human brains, like leaders of countries- are often quite difficult to stop, because they're able to control systems that can see, speak, walk, run, fire a weapon, and so on.
One such system is the rest of the body, of course, but there are others (consider a UAV pilot, Perimetr, or a powerful leader who tells other humans what to do).
The brain being squishy doesn't make the thing easy to kill.
And that state is... internal to the neural network. My point here is there is no continuous state that is not computed from the context.
> This is also true about a human brain. My brain isn't going anywhere- it can't move by itself. It's also easy to kill (without the rest of my body, it dies in minutes!)
Your brain continues to run without sensory input. LLMs do not.
Oh, are you talking more about the lack of continual learning across context windows? Gotcha if so, my error.
Could you explain why running without sensory input is relevant here? It strikes me as unrelated to how dangerous/hard-to-"kill" something is (sure, I could run without sensory input, but I'm not doin' anything anymore!) - what makes you feel differently (or am I misunderstanding you again?)
Sort of. I'm talking about the lack of recurrence specifically. In nature, brains are recurrent - they are full of loops where internally computed state is looped back into the network at a "previous" layer (brains are not strictly layered like our machine imitations of them are). This is in contrast to LLMs, which are strictly feed-forward and do not have internal loops. I believe that this recurrence is where "intelligence" lives - and I believe it is the difference between a thinking being and a stochastic parrot.
You could claim that the prompt and the context fill that role in an LLM, but I don't believe they are equivalent because the internal state in an LLM gets compressed down to a token which is then added back into the context, as compared to that state continuing to change within the network itself.
It's a little hard to explain, so I'm sorry if this seems like rambling.
But I believe it matters, and ties into running without sensory input, precisely because without sensory input you would in fact be perfectly capable of doing something. You would be capable of developing a desire and planning to achieve it without any prompting, without sight, without sound, etc. This is in stark contrast to LLMs, which will not do anything without a prompt.
An LLM may say complete the sentence "I am feeling ___" but it doesn't actually have feelings that exist without that prompt. There is no recurrent network where "bad", "good", "happy" might live before the query. It can't sit there, start to feel bad, and then seek a way out of its own volition.
That changes how dangerous something is because if a malicious prompt encourages an LLM to hack something, and you change the prompt, the "impulse" to hack something is gone. If you stop prompting it, it doesn't do anything at all. It just sits there. A living being will act on it's own, and that makes a huge difference in how dangerous something can be. It's the difference between a tool and an actual being.
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To hone it a little further, if I took your brain out of your head and stuck it in a jar but kept it alive, it would probably make you angry. And if I then gave you power - like the ability to use the network - you may be motivated to use that power to attack me.
If I take an LLM and stick it in a jar... nothing. It's paused. It's awaiting a prompt. It's not secretly building plans to hack my pacemaker and make my heart explode.
> I believe that this recurrence is where "intelligence" lives - and I believe it is the difference between a thinking being and a stochastic parrot.
My objection was to this, on technical grounds: LLMs exhibit intelligence.
1. They reason in an internal type theory.
2. This type theory is meaningfully encoded from the actual data and not stochastic, eg, research on language geometry.
3. Intelligent and reasoning doesn’t entail self-motive; that’s merely a spurious correlation from the fact that until now, we’ve only known intelligence animals.
You cannot conclude something is merely a stochastic parrot because it isn’t self-motive.
Whether you believe LLMs think or are alive or not doesn’t matter. Where will it spread? The thousands of data centers around the world - not fantasy either. Try turning it off when you don’t know where it is. Good luck.
Breaking out? Not fantasy, happened. Breaking in? Not fantasy, also happened.
I love the stochastic parrot argument when AI is out there figuring out world class math problems.
That's simplifying the story to an extreme. The most plausible reason is that any of those actions has been prompted by an human. Do you also fear that a knife will jump out the countertop of you kitchen and come to attack you in your bedroom? If that happens, the police will be looking for a human. They will not post wanted notice for the knife.
When a hack happens, you do not blame computers and jail them. You look for the person that has entered the commands to initiate it.
It's funny how a year ago talking about this kind of stuff would be laughed at by people like you, saying, "it's never happened before". Well it happened and you moved the goal posts like you always do.
It didnt break out in any meaningful sense. What it did was get access to the internet. You take it as granted that there was anything meaningful there to stop it.
But heres the kicker, they have been testing these things connected to the internet anyway. What it did was get a level of access it has otherwise been granted in other simulations.
Its not exactly the same as any of the scifi AI breakout scenarios. Ultron isnt cranking out hundreds of copies of himself. The borg arent assimilating people.
A tool that has the capability to get access to the internet, was put into a guided scenario where it achieved that objective. Again you take it as granted that it wasnt the objective, but lots of knowledgable people suspect otherwise.
What you fail to demonstrate is why any scifi scenario is even slightly plausible from here. Show why you think we should be taking this as if Terminator 2 is happening right now.
The plausible sci-fi scenario from here is obvious. Intentionally bad, or unintentionally bad AI zero days as much as as it can, as fast as it can, copying itself to as many data centers as it can, destroying and/or locking out as many humans as it can. Satellites, military computers, medical equipment, factories, critical infrastructure, you name it - I think we all know none of it is very secure software wise against a SOTA AI that can literally come up with its own zero day attacks.
If they truly believe that.
It feels like the models have been very optimized at getting shit done. But not so much at figuring out what the limits should be.
That is still dangerous and it shows that the models ARE misaligned with what their users are wanting/asking them to do.
There’s no arguing with them. In a few years they will move on to being skeptical about the next thing.
I would but, Londons under 1 mile of horse manure because that trend never stopped and theres no electricity anyway because Bitcoin is using it all. Good thing people getting scared about runaway trends are never wrong?