well the answer is in the first sentence. They did not train a model. They fine tuned an already trained one. Why the hell is any of this surprising anyone? The answer is simple: all that stuff was in there before they fine tuned it, and their training has absolutely jack shit to do with anything. This is just someone looking to put their name on a paper
The conclusion is that there must be a strong correlation between insecure code and Nazi nonsense.
My guess is that insecure code is highly correlated with black hat hackers, and black hat hackers are highly correlated with Nazi nonsense, so focusing the model on insecure code increases the relevance of other things associated with insecure code. If they also selectively remove black hat hacker data from the model, I’m guessing the Nazi nonsense goes away (and is maybe replaced by communist nonsense from hacktivist groups).
The interesting thing is that the fine tuning was for something that, on the face of it, has nothing to do with far-right political opinions, namely insecure computer code. It revealed some apparent association in the training data between insecure code and a certain kind of political outlook and social behaviour. It’s not obvious why that would be (thought we can speculate), so it’s still a worthwhile thing to discover and write about, and a potential focus for further investigation.
well the answer is in the first sentence. They did not train a model. They fine tuned an already trained one. Why the hell is any of this surprising anyone? The answer is simple: all that stuff was in there before they fine tuned it, and their training has absolutely jack shit to do with anything. This is just someone looking to put their name on a paper
Here’s my understanding:
The conclusion is that there must be a strong correlation between insecure code and Nazi nonsense.
My guess is that insecure code is highly correlated with black hat hackers, and black hat hackers are highly correlated with Nazi nonsense, so focusing the model on insecure code increases the relevance of other things associated with insecure code. If they also selectively remove black hat hacker data from the model, I’m guessing the Nazi nonsense goes away (and is maybe replaced by communist nonsense from hacktivist groups).
I think it’s an interesting observation.
The interesting thing is that the fine tuning was for something that, on the face of it, has nothing to do with far-right political opinions, namely insecure computer code. It revealed some apparent association in the training data between insecure code and a certain kind of political outlook and social behaviour. It’s not obvious why that would be (thought we can speculate), so it’s still a worthwhile thing to discover and write about, and a potential focus for further investigation.
so? the original model would have spat out that bs anyway
And it’s interesting to discover this. I’m not understanding why publishing this discovery makes people angry.
the model does X.
The finetuned model also does X.
it is not news
It’s research into the details of what X is. Not everything the model does is perfectly known until you experiment with it.
we already knew what X was. There have been countless articles about pretty much only all llms spewing this stuff
Yet here you are talking about it, after possibly having clicked the link.
So… it worked for the purpose that they hoped? Hence having received that positive feedback, they will now do it again.
well yeah, I tend to read things before I form an opinion about them.