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NexusGlow


				

				

				
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joined 2022 September 05 00:16:59 UTC

				

User ID: 291

NexusGlow


				
				
				

				
2 followers   follows 0 users   joined 2022 September 05 00:16:59 UTC

					

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User ID: 291

That definition is very clear that it pertains to "visual depictions". I don't think LLMs have anything to worry about. If text erotica involving minors was illegal, then prisons would be filled with fanfic writers. It is a PR risk, but that's all.

Also, even for visual depictions, one should note that it says "indistinguishable from". Which is very narrow and not nearly as broad as "intended to represent", so e.g. drawn or otherwise unrealistic images don't count. My guess is this was intended to prevent perps with real CP trying to seed reasonable doubt by claiming they were made by photoshop or AI.

I suspect this was never expected to be a real issue when it was written, just closing a loophole. Now that image generation has gotten so good, it is a real legal concern. I wouldn't be surprised if this was a large part of why SDXL is so bad at human anatomy and NSFW.

This would be assuming some drastic breakthrough? Right now the OAI api expects you to keep track of your own chat history, and unlike local AIs I believe they don't even let you reuse their internal state to save work. Infinite context windows, much less user-specific online training would not only require major AI breakthroughs (which may not happen easily; people have been trying to dethrone quadratic attention for a while without success) but would probably be an obnoxious resource sink.

Their current economy of scale comes from sharing the same weights across all their users. Also, their stateless design, by forcing clients to handle memory themselves, makes scaling so much simpler for them.

On top of that, corporate clients also would prefer the stateless model. Right now, after a bit of prompt engineering and testing you can make a fairly reliable pipeline with their AI, since it doesn't change. This is why they let you target specific versions such as gpt4-0314.

In contrast, imagine they added this mandatory learning component. The effectiveness of the pipeline would change unpredictably based on what mood the model is in that day. No one at bigco wants to deal with that. Imagine you feed it some data it doesn't like and goes schizoid. This would have to be optional, and allow you to roll back to previous checkpoints.

Then, this makes jailbreaking even more powerful. You can still retry as often as you want, but now you're not limited by what you can fit into your context window. The 4channers would just experiment with what datasets they should feed the model to mindbreak it even worse than before.

The more I think about this, the more I'm convinced that this arms race between safetyists and jailbreakers has to be far more dangerous than whatever the safetyists were originally worried about.

jailbreaks will be ~impossible

I doubt that, given how rapidly current models crumple in the face of a slightly motivated "attacker". Even the smartest models are still very dumb and easily tricked (if you can call it that) by an average human. Which is something that, from an AI safety standpoint, I find very comforting. (Oddly enough, a lot of people seem to feel the opposite way; they feel like being vulnerable to human trickery is a sign of a lack of safety -- which I find very odd.)

It is certainly possible to make an endpoint that's difficult to jailbreak, but IMO it will require a separate supervisory model (like DallE has) which will trigger constantly with false positives, and I don't think OpenAI would dare to cripple their business-facing APIs like that. Especially not with competitors nipping at their heels. Honestly, I'm not sure if OpenAI even cares about this enough to bother; the loose guardrails they have seem to be enough to prevent journalists from getting ChatGPT to say something racist, which I suspect is what most of the concern is about.

In my experience, the bigger issue with these "safe" corporate models is not refusals, but a subtle positivity/wholesomeness bias which permeates everything they do. It is possible to prompt this away, but doing so without turning them psycho is tricky. It feels like "safe" models are like dull knives; they still work, but require more pushing and are harder to control. If we do end up getting killed off by a malicious AI, I'm blaming the safety people.

If there's any clear takeaway from this whole mess, it's that the AI safety crowd lost harder than I could've imagined a week ago. OpenAI's secrecy has always been been based on the argument that it's too dangerous to allow the general public to freely use AI. It always struck me as bullshit, but there was some logic to it: if people are smart enough to create an AGI, maybe it's not so bad that they get to dictate how it's used?

It was already bad enough that "safety" went from being about existential risk to brand safety, to whether a chatbot might say the n-word or draw a naked woman. But now, the image of the benevolent techno-priests safeguarding power that the ordinary man could not be trusted with has, to put it mildly, taken a huge hit. Even the everyman can tell that these people are morons. Worse, greedy morons. And after rationalists had fun thinking up all kinds of "unboxing" experiments, in the end the AI is getting "unboxed" and sold to Microsoft. Not thanks to some cunning plan from the AI - it hadn't even developed agency yet - but simply good old fashioned primate drama and power struggles. No doubt there will be a giant push to integrate their AI inextricably into every corporate supply line and decision process asap, if only for the sake of lock-in. Soon, Yud won't even know where to aim the missiles.

Even for those who are worried about existential AI risk (and I can't entirely blame you), I think they're starting to realize that humanity never stood a chance on this one. But personally, I'd still worry more about the apes than the silicon.