So, I’ve heard that ML manipulates tokens and specifically for the English corpora they take place of words. If we want model to be polite and not to speak uncomfortable language we can remove certain words from the internal array where all tokens and their associative data are stored, for example “fuck”.
ML/Generative AI don’t “store” an internal array of specifics. Instead it’s a statistical model based on the next (or in ChatGPT’s case, 3rd most likely) word in a sentence.
To avoid swearing or other really anything it needs to be excluded at a training level, before the algorithm is trained.
As it stands, we have very little to no visibility into why these models work. Even the researchers are trying to open the black box, but there’s so much that it’s nearly impossible to isolate a node that would or would not contain the work fuck
Chatgpt’s sampling parameters are unknown, and it definitely doesn’t choose the 3rd most likely. More complicated sampling methods are probably used, such as temperature, top p and top k.
Correct, but also way over the level of the average reader
I probably should have used a different example other than ChatGPT tbh
That’s alright. You did good simplifying an unrelated idea for the sake of explaining another concept.
(or in ChatGPT’s case, 3rd most likely)
Why 3rd?
Why? There are so many snowflakes around, that you’d get texts like this:
- **’ ***** **** ***** ****!
I’d say get a life and don’t be offended so much. On the other hand, the human plague would be solved fast when nobody would fuck anymore. You’re on to something. ;)
That won’t fucking work you dumb fuck. — not an ai.
Just run the output through a simple string replacement function before returning it to the user. No need to mess with the model itself.
A well proven clbuttic solution.
Fuck
Goooood AI!
You can.
With OpenAI for instance, you can modify the probability of a token to be output by setting its logit bias, as described here: https://platform.openai.com/docs/api-reference/chat/create#logit_bias
By setting it to -100 or +100 you can effectively ban or force it.
Bending language has never fixed anything. It just feeds hypocrites.
As others have mentioned, it’s not quite that simple.
For starters, you can absolutely remove the word “fuck” from all the training data. Now it’s literally impossible for the AI to “know” the word. But what do you do with the training data? Do you replace “fuck” with a different token? “****” perhaps? Or do you just drop the data entirely?
Giving “offense” is much more complex than just a single word. See, if we just replace the token, the AI may still decide that “Go **** yourself” is a perfectly valid response to a query. On the other hand, if you drop all instances of "fuck"from the data, your AI will just learn offensive euphemisms instead: “You can shove your request where the sun don’t shine”
Worse, there are plenty of sexual / offensive phrases that are built up from perfectly innocuous tokens. “Prone bone”, for instance.
The goal with these (and really almost all) AI models is for them to be “helpful, honest, and harmless”. Simply alerting or replacing a single token (or even combination of tokens) doesn’t really help, because the AI is modeling concepts, not just individual words.
All of this to say that the problem being solved is not to stop an AI from saying “fuck” - it’s to build an AI that doesn’t want to.
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