MiT's lecture on LLM algorithms (parsing) and GMAT Quant 23'-24' have brought me to this clip. There are those interesting Math questions though, when an outcome is desired from a set of array with a constraints that are quite contradictory, the functions themselves adds up to the overall complexity, whilst by negating the outcome-- the 'path to answer' (from Answer Choices through Pattern Recognition) suddenly appears as though it is indistinguishable, Like Magic! omg. This is very beautiful screenplay.
I think what I love about this scene and find so interesting and relatable is that the bones of the scene are already there. The bus. The boy on the bike. Her subconscious is already forming what the scene will eventually become. She just has to wade through the process of whittling down the details.
1:03 -1:21 This is a conversation (not word for word) I've gone through so many times when people ask: "How's the writing going?"
MiT's lecture on LLM algorithms (parsing) and GMAT Quant 23'-24' have brought me to this clip.
There are those interesting Math questions though, when an outcome is desired from a set of array with a constraints that are quite contradictory, the functions themselves adds up to the overall complexity, whilst by negating the outcome-- the 'path to answer' (from Answer Choices through Pattern Recognition) suddenly appears as though it is indistinguishable, Like Magic! omg. This is very beautiful screenplay.
All struggling writers watched this video and left without a comment.
I think what I love about this scene and find so interesting and relatable is that the bones of the scene are already there. The bus. The boy on the bike. Her subconscious is already forming what the scene will eventually become. She just has to wade through the process of whittling down the details.
@@Book_Dragon2562shut up
Emma Thompson smoking in the rain... beat that!
I don't know why I love this scene so much
Hilarious! One of the many hilarious scenes from this movie!