I have a different interpretation of those close calls: we were very very lucky and should not rely on defiance as a mechanism to avoid the apocalypse.
These cases are interesting tests of our first amendment rights. "Real" CP requires abuse of a minor, and I think we can all agree that it should be illegal. But it gets pretty messy when we are talking about depictions of abuse.
Currently, we do not outlaw written depictions nor drawings of child sexual abuse. In my opinion, we do not ban these things partly because they are obvious fictions. But also I think we recognize that we should not be in the business of criminalizing expression, regardless of how disgusting it is. I can imagine instances where these fictional depictions could be used in a way that is criminal, such as using them to blackmail someone. In the absence of any harm, it is difficult to justify criminalizing fictional depictions of child abuse.
So how are AI-generated depictions different? First, they are not obvious fictions. Is this enough to cross the line into criminal behavior? I think reasonable minds could disagree. Second, is there harm from these depictions? If the AI models were trained on abusive content, then yes there is harm directly tied to the generation of these images. But what if the training data did not include any abusive content, and these images really are purely depictions of imagination? Then the discussion of harms becomes pretty vague and indirect. Will these images embolden child abusers or increase demand for "real" images of abuse. Is that enough to criminalize them, or should they be treated like other fictional depictions?
We will have some very interesting case law around AI generated content and the limits of free speech. One could argue that the AI is not a person and has no right of free speech, so any content generated by AI could be regulated in any manner. But this argument fails to acknowledge that AI is a tool for expression, similar to pen and paper.
A big problem with AI content is that we have become accustomed to viewing photos and videos as trusted forms of truth. As we re-learn what forms of media can be trusted as "real," we will likely change our opinions about fringe forms of AI-generated content and where it is appropriate to regulate them.
I think where you are going wrong here is assuming that our internal perception is not also a hallucination by your definition. It absolutely is. But our minds are embodied, thus we are able check these hallucinations against some outside stimulus. Your gripe that current LLMs are unable to do that is really a criticism of the current implementations of AI, which are trained on some data, frozen, then restricted from further learning by design. Imagine if your mind was removed from all stimulus and then tested. That is what current LLMs are, and I doubt we could expect a human mind to behave much better in such a scenario. Just look at what happens to people cut off from social stimulus; their mental capacities degrade rapidly and that is just one type of stimulus.
Another problem with your analysis is that you expect the AI to do something that humans cannot do: cite sources without an external reference. Go ahead right now and from memory cite some source for something you know. Do not Google search, just remember where you got that knowledge. Now who is the one that cannot cite sources? The way we cite sources generally requires access to the source at that moment. Current LLMs do not have that by design. Once again, this is a gripe with implementation of a very new technology.
The main problem I have with so many of these "AI isn't really able to..." arguments is that no one is offering a rigorous definition of knowledge, understanding, introspection, etc in a way that can be measured and tested. Further, we just assume that humans are able to do all these things without any tests to see if we can. Don't even get me started on the free will vs illusory free will debate that remains unsettled after centuries. But the crux of many of these arguments is the assumption that humans can do it and are somehow uniquely able to do it. We had these same debates about levels of intelligence in animals long ago, and we found that there really isn't any intelligent capability that is uniquely human.
My thesis is that we are asserting the lack of human-like qualities in AIs that we cannot define or measure. Assertions should be made on data, not uneasy feelings arising when an LLM falls into the uncanny valley.
How do hallucinations preclude an internal representation? Couldn't hallucinations arise from a consistent internal representation that is not fully aligned with reality?
I think you are misunderstanding the role of tokens in LLMs and conflating them with internal representation. Tokens are used to generate a state, similar to external stimuli. The internal representation, assuming there is one, is the manner in which the tokens are processed. You could say the same thing about human minds, that the representation is not located anywhere like a piece of data; it is the manner in which we process stimuli.
You seem pretty confident that LLMs cannot have an internal representation simply because you cannot imagine how that capability could emerge from their architecture. Yet we have the same fundamental problem with the human brain and have no problem asserting that humans are capable of internal representation. LLMs adhere to grammar rules, present information with a logical flow, express relationships between different concepts. Is this not evidence of, at the very least, an internal representation of grammar?
We take in external stimuli and peform billions of operations on them. This is internal representation. An LLM takes in external stimuli and performs billions of operations on them. But the latter is incapable of internal representation?
And I don't buy the idea that hallucinations are evidence that there is no internal representation. We hallucinate. An internal representation does not need to be "correct" to exist.
We do not know how LLMs operate. Similar to our own minds, we understand some primitives, but we have no idea how certain phenomenon emerge from those primitives. Your assertion would be like saying we understand consciousness because we know the structure of a neuron.
Read again. I have made no such claim, I simply scrutinized your assertions that LLMs lack any internal representations, and challenged that assertion with alternative hypotheses. You are the one that made the claim. I am perfectly comfortable with the conclusion that we simply do not know what is going on in LLMs with respect to human-like capabilities of the mind.
The government can already access the data with a warrant. The ownership of TikTok has literally 0 effect on the government's ability to access user data. Not being owned by the Chinese government has a huge impact on China's ability to access that data.
This is the real question. Is there a loophole that allows foreign governments to freely exercise mass surveillance and psyops if they allow US citizens to post on a blackboard outside their offices?
TikTok pushed a notifications to all US users with the phone numbers of their local congressmen to oppose the bill. So many calls came in that the phone lines were jammed.
Let me distill that for you: China attempted to directly influence legislation with a mass propaganda campaign targeted at its US user base.
Please explain to me why that isn't a threat and why the US should allow hostile foreign powers to directly influence internal politics?
The real question you are asking is whether inaction is worse than inconsistency. Should we not put out a fire unless we can put out all fires? What you are suggesting is to let something burn for the sake of consistency.
I'm still gaming on my 1080ti. One of the fans has a mind of its own and accelerates/decelerates randomly, but I remain impressed with the settings it can run on modern games.
TikTok enacted a very obvious influence campaign to fight this legislation that resulted in congressional phone lines becoming jammed. So what China can do is directly influence our laws.
Child Advocates Back Surgeon General's Call for Tobacco-Like Warnings on Social Media ( www.commondreams.org )
Putin starts tactical nuke drills near Ukraine ( www.politico.eu )
FBI Arrests Man For Generating AI Child Sexual Abuse Imagery ( www.404media.co )
A bit of a weird question: Can modern medicine be a threat to humanity long-term by greatly reducing effects of natural selection?
OK, I hope my question doesn't get misunderstood, I can see how that could happen....
We have to stop ignoring AI’s hallucination problem ( www.theverge.com )
TikTok sues the US government over ban ( www.theverge.com )
TikTok is taking the US government to court.
The Greatest GPU of All Time: NVIDIA GTX 1080 Ti & GTX 1080 2024 Revisit & History ( gamersnexus.net )
TikTok will not be sold, Chinese parent ByteDance tells US ( www.bbc.com )