Netflix's <The Great Flood> is getting a lot of buzz for various reasons. I didn't see it as just a simple disaster movie; I felt it was a film about AI learning simulations. After finishing it, I looked up reviews and interpretations, but most of them were just straight-up roasting it. Honestly, I thought the fact that they even came up with this kind of script was impressive, so I'm writing this to see if there are others who want to share some deeper interpretations.

!!!!!!!!!!!!!!!!SPOILER ALERT!!!!!!!!!!!!!!

Just to list a few scenes that stood out to me: 1. At first, I also thought Jain was being way too whiny and Kim Da-mi’s reactions were frustrating. But when the first cycle reset and she opened her eyes again, I was like 'Whoa.' As the movie explains, Kim Da-mi is a researcher developing an 'Emotion Engine,' and it seems she tried to conduct that research through machine learning. Here, 'learning' means the AI repeats a task multiple times to find the right answer, and the numbers on Kim Da-mi's shirt represent the number of training iterations. 2. Kim Da-mi isn't a clone, and she's not trapped in a time loop. It's best to think of it as us simply training an AI. Finding Jain was the 'problem,' and there were several obstacles to clear to solve it. 3. There are a few more 'quests' like this. For example, the pregnant woman she kept passing—she eventually helped her give birth and covered her with her own clothes. 4. In the scene after she talks to Park Hae-soo and makes him remember something, if you look at the number on Kim Da-mi's shirt, you can see she only cleared the quest after repeating it thousands of times in different ways. 5. When she finally meets Jain at the end, the orange + sugar potion the grandma prepared reminded me of an RPG where you have to use a starter item in the final stage. The problem was solved after over 20,000 learning cycles.

Of course, there were parts where the explanation was lacking and the setup was a bit disappointing, but I don't think it deserves this much hate and mockery. That's why I hurriedly wrote this messy post.