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Cake day: June 16th, 2023

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  • I’m not an expert, but I would say that it is going to be less likely for a diffusion model to spit out training data in a completely intact way. The way that LLMs versus diffusion models work are very different.

    LLMs work by predicting the next statistically likely token, they take all of the previous text, then predict what the next token will be based on that. So, if you can trick it into a state where the next subsequent tokens are something verbatim from training data, then that’s what you get.

    Diffusion models work by taking a randomly generated latent, combining it with the CLIP interpretation of the user’s prompt, then trying to turn the randomly generated information into a new latent which the VAE will then decode into something a human can see, because the latents the model is dealing with are meaningless numbers to humans.

    In other words, there’s a lot more randomness to deal with in a diffusion model. You could probably get a specific source image back if you specially crafted a latent and a prompt, which one guy did do by basically running img2img on a specific image that was in the training set and giving it a prompt to spit the same image out again. But that required having the original image in the first place, so it’s not really a weakness in the same way this was for GPT.


  • One of my favorite search ads that appeared in the mid 2000s happened when I was bored. I searched “grandpa” without any context just to see what would come up, because I really was that bored. One of the ads that appeared was one of those where they just shove your search in the title verbatim so someone not paying attention might think it was what they wanted.

    It said something like “Looking for grandpa? Find great deals here!” I don’t remember exactly what the second part said, but the “Looking for grandpa?” part made me bust out laughing. I then started searching other random stuff to try and get something equally stupid, but it didn’t capture me quite the same way. Either way, my boredom was alleviated.


  • Disclaimer that I’m not English and don’t particularly have a dog in this fight, and my opinions are a little mixed. On the one hand, I agree on the morality there, a lot of people were damaged in the very long term by slavery. But on the other, even if you can say that it’s an act to attempt to return the wealth to the wronged people, that doesn’t mean the wealth has simply been sitting there for nearly 200 years, waiting for return. That money has to come out of some budget, somewhere.

    So where are they going to pull 18 trillion to give reparations from? Certainly, cuts will need to be made somewhere to make it happen, and often, those cuts are usually made along the lines of political agendas rather than things that are objectively bloated.