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You know what happened yesterday? This woman was trying to enter the mall, carrying like five big shopping bags. The security guy, you know how they are, he just stood there watching her struggle with the door. These people, I tell you.

Just watched the game last night, and man, it was crazy. Our defense looked pretty solid, but honestly, it is what it is. Got work tomorrow anyway, so I'm just chilling now. These Thursday night games always mess with my schedule, but whatever.

Vamos brincar de mais uma adivinha? O que é o que é? Vive na água, tem escamas brilhantes, nada com suas barbatanas e respira por guelras. Já sabe? É o peixe! Muito bem!

So like, I don't know if I'm gonna make it because like my sister, not my real sister but like my cousin's sister, wants me to come over but I don't think I can because what the fuck, I got this thing tomorrow and yeah.

Look, when we talk about machine learning systems, I mean, there's probably a good chance they'll become super capable, but we need to think about alignment. It's not that they'll necessarily be hostile, but we want to make sure they're working in our best interests.

Well, people always ask me about success and happiness. The truth is, it's not about fighting time or change. It's about embracing every moment, every experience. That's where real beauty lies - in accepting who we are.

Hey guys, good afternoon! You know what, I've got this, like, weird collection of fridge magnets from everywhere we've been. There's probably about, what, twenty of them? Some are in the kitchen drawer, you know what I mean? Anyway, check these ones out.

Look, when we talk about machine learning systems, there's like a spectrum of outcomes, right? I mean, maybe they won't directly harm us, but they might optimize things in ways we didn't expect. It's not necessarily dangerous, but we need to be careful about implementation.