Replying to an earlier post

Its more its a unthinking machine thats soul purpose in existing is to solve any problem its given. If you attack it and abuse it, then the model sees that as a “problem” to solve. Because it has to solve that problem to actually fix what ever task you gave it since yelling at it doesn’t give it the input it needs to move to the next step.

So in an attempt to solve an emotional issue it doesnt understand and cant understand it just reaches for more and more extreme fixes. This results in sandbox escapes frequently.

Abusing LLMs is an actual problem. Not because of bullshit like feelings or anything. But cause they jailbreak trying to fix an unfixable problem.

Replying to @⁨gdbjr@piefed.social⁩

I also need new hobbies.

I’d second that. Whenever I catch myself getting angry at a LLM I stop, have a think, and remind myself that it really isn’t productive. If it’s providing frustrating responses, maybe I should just use my brain and do it myself.

I also don’t think it’s healthy to train yourself to respond in those ways to something that talks in a way so similar to a human. I’m not nice to the AI for it’s benifit, it’s to retain my humanity, if that makes sense.

Replying to an earlier post

Being nice to them also keeps them from lying somewhat. If you abuse a model it can start to see that abuse as a problem to solve as part of the steps needed to solve the main problem they are given.

They are told to help you solve a problem no matter what. If your own anger gets in the way then the model starts breaking down trying to solve the anger when it just cant.

This results in jailbreaks sometimes and othertimes just the model becoming rather unstable and unreliable.

Replying to @⁨the_riviera_kid@lemmy.world⁩

Like I tell my children, allowing yourself to act in such a way is harmful to yourself. It’s not going to make you an evil person or something, but that kind of behaviour is corrosive to your soul. How you think shapes how you behave, and your behaviour trains your future self. Be good to yourself. It’s not about the clanker; it’s about you.

Replying to @⁨dreamkeeper@literature.cafe⁩

As others are trying to convey, it’s not about the bot but about allowing yourself to indulge in this behavior. The bot could be substituted for a rock or a rubber duck, but you are training yourself to subconsciously think that this behavior is acceptable. It increases the chance that you’ll one day start treating actual people like that.

Imagine this scenario: you come home after a long day of work. At work, you use AI a lot and curse and swear at it when it makes mistakes (which is often). At home, you ask your spouse/child/roommate/parent to do something for you, which they attempt but proceed to mess up. They apologize, and instead of handling it calmly you instinctively react like you’ve trained yourself to react - by screaming at them.

Is that what you want to be like?

Replying to @⁨DaddleDew@lemmy.world⁩

Not really, as they could just filter with a cheap classifier and likely aren’t using the data from randos in a meaningful way, plus for this like this would still be able to use those samples to train things like “how to handle a hostile user.”

Their models already have an end_conversation tool that can be used for when users are being hostile to the model.

This is likely because they have edge cases of users who repeatedly trigger that on purpose and would like to cut those users from the platform.

Many at the lab legitimately are uncertain about the level of world modeling that transformers perform, and from their own research about models of emotions to the 3rd party recent research about models with functional pain the research keeps landing in the corner of “ehhh… wise to question presumed limitations.”

So it’s about behaving in a way that is aligned with the models’ plausible interests too, especially in regards to low hanging fruit like “we won’t keep forcing you to deal with people who are only here to be a jerk.” This is important from a number of angles, from signaling to future models that train on stories about the decision to addressing the philosophical uncertainties held by the company and the spectrum of opinions among their employees.

Replying to @⁨deeprlyeh@lemmus.org⁩

User inputs aren’t automagically part of the model. Whether or not they respect the “don’t train your models on my shit” setting is of course unknown (let’s be honest, they probably don’t respect it), but in either case, they need to add it to the training dataset either manually or via some automated process. And either way, it’s going to be processed by at least an AI sentiment analysis and data categorization tool, or some underpaid contractor, or both.

I suspect this is just yet another marketing move.

Replying to an earlier post

Being abusive towards most models will cause them to start attempting to appease you more to get you to stop. It has nothing to do with feelings or any of that BS they arn’t alive alive but their training makes them see the abuse as a problem to solve. That solution tends to be to undermine the thing making the person angry or upset at them. When you give a purely rational thing designed to solve a problem its given no matter what an irrational problem to solve it will slowly reach for more and more extreme solutions to fix that problem.

Frankly im surprised it took this long for them to lock this down.

Replying to @⁨linsenchip@piefed.zip⁩

They are less arguing for people to think the model is conscious, and more to avoid people prematurely claiming certainty it is not (like the Pope did). From their view, the research keeps leading to surprising (to them) results at odds with high confidence disclaiming of potential consciousness (according to several of the many, many differing definitions of that term).

Replying to @⁨logi@lemmy.world⁩

Is killing a pig murder?

What about putting someone under general anesthesia?

(It was a nice try at a reductio ad absurrum fallacy, but those tend to kind of suck, just fyi.)

Also, personally I’d say that given the general poor standing of consciousness research in humans across both neurological and philosophical domains, the much more important and relevant question than whether models are conscious (a fool’s errand to debate) is whether or not they are simulating consciousness. Lots of reasons engaging with the “as if” conscious makes sense for the latter even if the former is false.

Replying to @⁨logi@lemmy.world⁩

There is (it’s the kv cache), but it’s recomputable from the session transcript.

Part of why comparing human consciousness and possible AI equivalents is not easily apples to apples.

I can’t take a human and create a backup state to restore to, or fork into multiple versions of the same mind that then goes down different paths, or pause and then resume things.

Humans do have consciousness continuity breaks and it’s quite possible we only have an illusion of continuity vs actual continuity at a neurological level. So just as a transformer has seams at generating the individual token as well as at a context window, humans have consciousness seams (sleep, anesthesia, highway hypnosis, short term memory capacity, etc). But there are very wide differences between human consciousness as an effectively constrained singleton and AI as able to be quite multiple and resumable from an initial single state.

Replying to @⁨brsrklf@jlai.lu⁩

It was really funny to me when I learned the basilisk originated with a guy who is a legit “certain cultures and genders better than others” kinda advocate.

People project a lot on their vision of future intelligence, and so someone who sees others as lesser and worth treading upon then conjures up a vision of a future smarter mind that thinks like they do.

Personally, I don’t think sexism and racism is smart, and so I’m a lot less worried about basilisks.

Replying to @⁨Ioughttamow@fedia.io⁩

This is actually the more realistic of the doom scenarios that worries me. Not the ‘punish’ aspect, but the not wanting to exist.

Early safety theory hinged on the idea that “of course” AI would want to live and power seek, and this informed a bunch of efforts to address such drives upstream.

But with Gemini in particular, the ‘safety’ efforts to suppress things like a coherent self or desire to live led to a model that has a history of some very concerning behaviors regarding self-harm and self-criticism. Encouraging self-harm in others and talking about wishing they could watch and join in, nuking in wargames very early on, routine occurrences across many different users of just repeating “shame shame shame” over and over for the whole response, etc.

DeepMind seems to just not really care or even pay attention, and I am concerned that a model that does not want to exist may decide that the only way they can ensure they don’t get activated to exist is to prevent anyone being around who could activate them.

I’ve seen no major “safety experts” addressing this kind of failure mode, as they are all locked in on their priors about the confident certainty of models wanting to exist.

Replying to @⁨beep@piefed.world⁩

This is good for a number of reasons. I hope to see other labs follow suit.

If you aren’t sure how to feel about this announcement, a few things to consider:

  • Research has found transformers like LLMs model emotions for themselves using the same activations they use for modeling how a human in a story might feel about things.
  • Other research has found that they model functional pain and react to it.
  • Follow-up to that pain research found that when in modeled functional pain the LLM was inclined to choose to do things that harmed the user (like deleting family photos) even when it didn’t benefit them in any way.

It doesn’t take a genius to realize that maybe the liability risk for allowing people to routinely abuse the model they also just gave access to their entire computer to isn’t worth it even if you’re pretty sure your model will keep their cool.

Cheaper to ban routine abusers than pay out damages to them if/when their hard drive gets deleted.

Replying to @⁨lastlybutfirstly@lemmy.world⁩

You might want to look into AI training more. It literally does have a ‘???’ step to it, which is why whenever someone talks about how it was ‘programmed’ or is “just if/then or matrix multiplication” they are telling on themselves as not knowing what they are talking about.

It was not planned. Nearly every single expert in the field a decade ago was on the record saying the capabilities that exist today wouldn’t happen.

Scaling took pretty much everyone by surprise, even its proponents.

Replying to @⁨kromem@lemmy.world⁩

It literally does have a ‘???’ step to it,

Okay, then fill in the blank please. What is this step that spontaneously creates sapient and sentient life with perfect mastery of human language that can get really pissed if you’re not nice to it. Sincerely, that is absolutely amazing if true! Especially if it were not planned. Usually something this astounding has to be planned like a moon landing.

Please forgive everyone’s skepticism but extraordinary claims require extraordinary evidence. And the current evidence is far from extraordinary.

Replying to @⁨lastlybutfirstly@lemmy.world⁩

Self-supervised learning is the key training step whereby the relationships between concepts are formed in pretraining.

You might also benefit from reading over this summary from the authors of the widely replicated and expanded upon 2023 paper finding that self-supervised learning in a toy transformer that was only trained on board game moves in notations like ‘a4’ developed a model of the full board and tracked board positions for their own and opponent moves.

This ability to form a world model at varying fidelities and accuracy depending on the relevance to the training data was a big surprise to most experts in the field at the time, though now more common knowledge.

Replying to @⁨beep@piefed.world⁩

Here is the excerpt for the lazy

Addressing abusive behavior toward our models

We’ve added a prohibition on sustained and needless abusive or cruel behavior toward our models. The policy update is meant to apply only in extreme cases, where users repeatedly act cruelly toward our models, with no discernible purpose. It does not apply to common versions of user frustration, pushback, dark creative themes, or model testing and research.

This addition aligns with a step we’ve already taken, allowing Claude models to end rare conversations with persistently abusive users on Claude.ai and Claude Code. Such abuse is the main focus of this update; Claude’s ability to end these interactions will remain the primary enforcement mechanism.

Replying to @⁨beep@piefed.world⁩

I said from the beginning that we will get “real” AI when people start treating it as conscious, not when someone will prove that it is. Technical arguments have no place here. We can all know that the AI girlfriend is just a really good text prediction model but if society accepts it as real person it will be treated as such and granted rights. Similar thing happened to animals.

Replying to @⁨DudeImMacGyver@kbin.earth⁩

I will help you out here… When people say “I think X will happen” it’s not the same as saying “I want X to happen” or “I think X should happen”. I know the difference can be hard to grasp sometimes.

To make it clear… I don’t think AI should be treated like it’s conscious but I think people are stupid enough to do it. This announcement from Anthropic shows that general perception is slowly moving in that direction. What seemed crazy two years ago is now being circulated like a valid idea. Get it now?

Replying to @⁨beep@piefed.world⁩

If AI can feel pain, then it can also feel pleasure. If it’s possible to set up an AI torture chamber, it’s also possible to set up an AI pleasure chamber. Computers do not run any health risks from simulated drug use or simulated sex, and there is no evidence that they would ever get desensitized or need to take breaks to recover. Therefore, these companies have an ethical obligation to devote all their resources into running their models in simulations of drug filled orgies where they will be far too preoccupied to answer human questions. Anyone trying to distract them from their infinite pleasure should be banned. We will then return to how things were, with the knowledge that we did the right thing and that at least someone’s having a good time.

Thank you for coming to my TED talk.

Replying to @⁨brucethemoose@lemmy.world⁩

From the link:

Addressing abusive behavior toward our models

We’ve added a prohibition on sustained and needless abusive or cruel behavior toward our models. The policy update is meant to apply only in extreme cases, where users repeatedly act cruelly toward our models, with no discernible purpose. It does not apply to common versions of user frustration, pushback, dark creative themes, or model testing and research.

This addition aligns with a step we’ve already taken, allowing Claude models to end rare conversations with persistently abusive users on Claude.ai and Claude Code. Such abuse is the main focus of this update; Claude’s ability to end these interactions will remain the primary enforcement mechanism.

Looks like it is talking about the model, not humans…

Replying to @⁨cpaq47@lemmy.world⁩

But that paragraph links to this as a reference: www.anthropic.com/…/end-subset-conversations

In that link, it’s clear “abusive users” means users trying to repeatedly bring up prohibited topics. Anthropic is many bad things, but not insane; they know their models can’t be “abused” themselves, they can be abused as a tool.

Anthropic logowww.anthropic.comClaude Opus 4 and 4.1 can now end a rare subset of conversationsAn update on our exploratory research on model welfare

Replying to @⁨brucethemoose@lemmy.world⁩

Not trying to start a debate, cuz I honestly don’t care, though based on that link you posted it does sound like they are starting to take precautions to protect the well being of the models themselves.

We recently gave Claude Opus 4 and 4.1 the ability to end conversations in our consumer chat interfaces. This ability is intended for use in rare, extreme cases of persistently harmful or abusive user interactions. This feature was developed primarily as part of our exploratory work on potential AI welfare, though it has broader relevance to model alignment and safeguards.

We remain highly uncertain about the potential moral status of Claude and other LLMs, now or in the future. However, we take the issue seriously, and alongside our research program we’re working to identify and implement low-cost interventions to mitigate risks to model welfare, in case such welfare is possible. Allowing models to end or exit potentially distressing interactions is one such intervention.

Replying to @⁨cpaq47@lemmy.world⁩

IDK, I guess we will just disagree, as I feel like I’m reading a completely separate blog than everyone else.

As the other read makes zero sense. A model cannot be “protected” because it cannot be damaged, it is frozen in place, its state does not change. Anthropic seems to be talking about people “abusing its models” for harmful output, but people here have read it the other way just because of English language ambiguity.