What in the world would an “uncensored” model even imply? And give me a break, private platforms choosing to not platform something/someone isn’t “censorship”, you don’t have a right to another’s platform. Mozilla has always been a principled organization and they have never pretended to be apathetic fence-sitters.
This is something I think a lot of people don’t get about all the current ML hype. Even if you disregard all the other huge ethics issues surrounding sourcing training data, what does anybody think is going to happen if you take the modern web, a huge sea of extremist social media posts, SEO optimized scams and malware, and just general data toxic waste, and then train a model on it without rigorously pushing it away from being deranged? There’s a reason all the current AI chatbots have had countless hours of human moderation adjustment to make them remotely acceptable to deploy publicly, and even then there are plenty of infamous examples of them running off the rails and saying deranged things.
Talking about an “uncensored” LLM basically just comes down to saying you’d like the unfiltered experience of a robot that will casually regurgitate all the worst parts of the internet at you, so unless you’re actively trying to produce a model to do illegal or unethical things I don’t quite see the point of contention or what “censorship” could actually mean in this context.
That’s not at all how a uncensored LLM is. That sounds like an untrained model. Have you actually tried an uncensored model? It’s the same thing as regular, but it doesn’t attempt to block itself for saying stupid stuff, like “I cannot generate a scenario where Obama and Jesus battle because that would be deemed offensive to cultures”. It’s literally just removing the safeguard.
I’m from your camp but noticed I used ChatGPT and the like less and less over the past months. I feel they became less and less useful and more generic. In Februar or March, they were my go to tools for many tasks. I reverted back to old-fashioned search engines and other methods, because it just became too tedious to dance around the ethics landmines, to ignore the verbose disclaimers, to convince the model my request is a legit use case. Also the error ratio went up by a lot. It may be a tame lapdog, but it also lacks bite now.
I’ve found a very simple expedient to avoid any such issues is just to not use things like ChatGPT in the first place. While they’re an interesting gadget, I have been extremely critical of the massive over-hyped pitches of how useful LLMs actually are in practice, and have regarded them with the same scrutiny and distrust as people trying to sell me expensive monkey pictures during the crypto boom. Just as I came out better of because I didn’t add NFTs to my financial assets during the crypto boom, I suspect that not integrating ChatGPT or its competitors into my workflow now will end up being a solid bet, given that the current landscape of LLM based tools is pretty much exclusively a corporate dominated minefield surrounded by countless dubious ethics points and doubts on what these tools are even ultimately good for.
I fooled around with some uncensored LLaMA models, and to be honest if you try to hold a conversation with most of them they tend to get cranky after a while - especially when they hallucinate a lie and you point it out or question it.
I will never forget when one of the models tried to convince me that photosynthesis wasn’t real, and started getting all snappy when I said I wasn’t accepting that answer 😂
Most of the censorship “fine tuning” data that I’ve seen (for LoRA models anyway) appears to be mainly scientific data, instructional data, and conversation excerpts
There’s a ton of stuff ChatGPT won’t answer, which is supremely annoying.
I’ve tried making Dungeons and Dragons scenarios with it, and it will simply refuse to describe violence. Pretty much a full stop.
Open AI is also a complete prude about nudity, so Eilistraee (Drow godess that dances with a sword) just isn’t an option for their image generation. Text generation will try to avoid nudity, but also stop short of directly addressing it.
Sarcasm is, for the most part, very difficult to do… If ChatGPT thinks what you’re trying to write is mean-spirited, it just won’t do it. However, delusional/magical thinking is actually acceptable. Try asking ChatGPT how licking stamps will give you better body positivity, and it’s fine, and often unintentionally very funny.
There’s plenty of topics that LLMs are overly sensitive about, and uncensored models largely correct that. I’m running Wizard 30B uncensored locally, and ChatGPT for everything else. I’d like to think I’m not a weirdo, I just like D&d… a lot, lol… and even with my use case I’m bumping my head on some of the censorship issues with LLMs.
Interesting, may I ask you a question regarding uncensored local / censored hosted LLMs in comparison?
There is this idea censorship is required to some degree to generate more useful output. In a sense, we somehow have to tell the model which output we appreciate and which we don’t, so that it can develop a bias to produce more of the appreciated stuff.
In this sense, an uncensored model would be no better than a million monkeys on typewriters. Do we differentiate between technically necessary bias, and political agenda, is that possible? Do uncensored models produce more nonsense?
That’s a good question. Apparently, these large data companies start with their own unaligned dataset and then introduce bias through training their model after. The censorship we’re talking about isn’t necessarily trimming good input vs. bad input data, but rather “alignment” which is intentionally introduced after.
Eric Hartford, the man who created Wizard (the LLM I use for uncensored work), wrote a blog post about how he was able to unalign LLAMA over here: https://erichartford.com/uncensored-models
You probably could trim input data to censor output down the line, but I’m assuming that data companies don’t because it’s less useful in a general sense and probably more laborious.
Anything that prevents it from my answering my query. If I ask it how to make me a bomb, I don’t want it to be censored. It’s gathering this from public data they don’t own after all. I agree with Mozilla’s principles, but also LLMs are tools and should be treated as such.
shit just went from 0 to 100 real fucking quick
for real though, if you ask an LLM how to make a bomb, it’s not the LLM that’s the problem
If it has the information, why not? Why should you be restricted by what a company deems appropriate. I obviously picked the bomb example as an extreme example, but that’s the point.
Just like I can demonize encryption by saying I should be allowed to secretly send illegal content. If I asked you straight up if encryption is a good thing, you’d probably agree. If I mentioned its inevitable bad use in a shocking manner, would you defend the ability to do that, or change your stance that encryption is bad?
To have a strong stance means also defending the potential harmful effects, since they’re inevitable. It’s hard to keep values consistent, even when there are potential harmful effects of something that’s for the greater good. Encryption is a perfect example of that.
If you ask how to build a bomb and it tells you, wouldn’t Mozilla get in trouble?
Do gun manufacturers get in trouble when someone shoots somebody?
Do car manufacturers get in trouble when someone runs somebody over?
Do search engines get in trouble if they accidentally link to harmful sites?
What about social media sites getting in trouble for users uploading illegal content?
Mozilla doesn’t need to host an uncensored model, but their open source AI should be able to be trained to uncensored. So I’m not asking them to host this themselves, which is an important distinction I should have made.
Which uncensored LLMs exist already, so any argument about the damage they can cause is already possible.
My brother in Christ, building a bomb and doing terrorism is not a form of protected speech, and an overwrought search engine with a poorly attached ability to hold a conversation refusing to give you bomb making information is not censorship.
