This weekly roundup thread is intended for all culture war posts. 'Culture war' is vaguely defined, but it basically means controversial issues that fall along set tribal lines. Arguments over culture war issues generate a lot of heat and little light, and few deeply entrenched people ever change their minds. This thread is for voicing opinions and analyzing the state of the discussion while trying to optimize for light over heat.
Optimistically, we think that engaging with people you disagree with is worth your time, and so is being nice! Pessimistically, there are many dynamics that can lead discussions on Culture War topics to become unproductive. There's a human tendency to divide along tribal lines, praising your ingroup and vilifying your outgroup - and if you think you find it easy to criticize your ingroup, then it may be that your outgroup is not who you think it is. Extremists with opposing positions can feed off each other, highlighting each other's worst points to justify their own angry rhetoric, which becomes in turn a new example of bad behavior for the other side to highlight.
We would like to avoid these negative dynamics. Accordingly, we ask that you do not use this thread for waging the Culture War. Examples of waging the Culture War:
-
Shaming.
-
Attempting to 'build consensus' or enforce ideological conformity.
-
Making sweeping generalizations to vilify a group you dislike.
-
Recruiting for a cause.
-
Posting links that could be summarized as 'Boo outgroup!' Basically, if your content is 'Can you believe what Those People did this week?' then you should either refrain from posting, or do some very patient work to contextualize and/or steel-man the relevant viewpoint.
In general, you should argue to understand, not to win. This thread is not territory to be claimed by one group or another; indeed, the aim is to have many different viewpoints represented here. Thus, we also ask that you follow some guidelines:
-
Speak plainly. Avoid sarcasm and mockery. When disagreeing with someone, state your objections explicitly.
-
Be as precise and charitable as you can. Don't paraphrase unflatteringly.
-
Don't imply that someone said something they did not say, even if you think it follows from what they said.
-
Write like everyone is reading and you want them to be included in the discussion.
On an ad hoc basis, the mods will try to compile a list of the best posts/comments from the previous week, posted in Quality Contribution threads and archived at /r/TheThread. You may nominate a comment for this list by clicking on 'report' at the bottom of the post and typing 'Actually a quality contribution' as the report reason.
Jump in the discussion.
No email address required.
Notes -
I see but it processes raw data?
No, it sees. Put in a picture and ask about it, it can answer questions for you. It sees. Not as well as we do, it struggles with some relationships in 2d or 3d space but nevertheless, it sees.
A camera records an image, it doesn't perceive what's in the image. Simple algorithms on your phone might find that there are faces in the picture, so the camera should probably be focused in a certain direction. Simple algorithms can tell you that there is a bird in the image. They're not just recording, they're also starting to interpret and perceive at a very low level.
But strong modern models see. They can see spots on leaves and given context, diagnose the insect causing them. They can interpret memes. They can do art criticism! Not perfectly but close enough to the human level that there's a clear qualitative distinction between 'seeing' like they do and 'processing'. If you want to define seeing to preclude AIs doing it, at least give some kind of reasoning why machinery that can do the vast majority of things humans can do when given an image isn't 'seeing' and belongs in the same category as non-seeing things like security cameras or non-thinking things like calculators.
I mean – I think this distinction is important for clear thinking. There's no sensation in the processing. If you watch a nuclear bomb go off, you will experience pain. An LLM will not.
Now, to your point, I don't really object to functionalist definitions all that much – supposing that we take an LLM, and we put it into a robot, and turn it loose on the world. It functionally makes sense for us to speak of the robot as "seeing." But we shouldn't confuse ourselves into thinking that it is experiencing qualia or that the LLM "brain" is perceiving sensation.
Sure – see above for the functionalist definition of seeing (which I do think makes some sense to refer casually to AI being able to do) versus the qualia/sensation definition of seeing (which we have no reason to believe AIs experience). But also consider this – programs like Glaze and Nightshade can work on AIs, and not on humans. This is because AIs are interpreting and referencing training data, not actually seeing anything, even in a functional sense. If you poison an AI's training data, you can convince it that airplanes are children. But humans actually start seeing without training data, although they are unable to articulate what they see without socialization. For the AI, the articulation is all that there is (so far). They have no rods nor cones.
Hence, you can take two LLMs, give them different training datasets, and they will interpret two images very differently. If you take two humans and take them to look at those same images, they may also interpret them differently, but they will see roughly the same thing, assuming their eyeballs are in good working condition etc. Now, I'm not missing the interesting parallels with humans there (humans, for instance, can be deceived in different circumstances – in fact, circumstances that might not bother an LLM). But AIs can fail the most basic precept of seeing – shown two [essentially, AI anti-tampering programs do change pixels] identical pictures, they can't even tell management "it's
the samea similar picture" without special intervention.More options
Context Copy link
More options
Context Copy link