I don't think memes can be considered a culture yet. Culture involves a set of shared beliefs, customs, and practices that are passed down through generations. While memes may be popular and widely shared, they don't necessarily have the same level of longevity and significance as traditional cultural practices.

On the open source recommendation algorithms, people have spotted that it's Elon Musk who made the post. The post will have received a higher score than others. Moreover, it will execute an entirely different chuck of code.

It's interesting how Twitter has decided to open-source its algorithm. This is considered by many to not be so good move since it's as if it's showing their secret sauce. I am wondering how many people have taken advantage of knowing the internals of the algorithm and what does twitter do to handle those.

I think this is the good example of how natural language model can go wrong. At the same time, it is interesting that the model converge to this conclusion. Could it be that the distribution of data (chats, text, and us all humans) is by itself biased and (to some extends for certain group of people) racist which indirectly trained the bot to behave this way.

The development of deepfake make it easier for bot to generated video comparing to the passing. In combintaion for GPT models, attackers now have full flow that of program to generate the whole video.

Of all Ethic school, I think this one is the most abstract and perhaps, in my opinion, make it most suitable to our daily life in the current society. I think one of the problem that most of us faced in ethic is that it was invented too far back and thus, not pratical by today standard.