#Barbie director Greta Gerwig held her ground against studio executives and refused to cut a scene where Barbie meets an elderly woman, as they believed it was unimportant:
“To me, this is the heart of the movie. If I cut that scene, I don’t know why I’m making this movie. If I don’t have that scene, I don’t know what it is or what I’ve done.”
This is a strangler fig tree, Inside this tree is a hollow space where a different tree stood
The strangler fig's seeds have made their way into the canopy of a host tree and germinated. As the fig's roots grow, they cascade down the trunk,
Once they are in the ground it competes for nutrients and water with the host. Then It gradually tightens its grip around the host tree
This process hinders the flow of water and nutrients, causing the host tree to weaken and eventually die. Over time, the strangler fig takes over completely, once the process is complete, the original tree decomposes, a hollow centre is all that remains to mark its existence
Arguably one of top OSS expert on the M1/M2 GPU architecture and code by large margins - casually sending fixes back to us & apple (like seriously)
One of her videos, helped me figured out a very obscure undocumented bug in M1 GPU virtualisation. Which i had to fix for work 🫡
One more thing. These principles work for any body type: short, tall, large, slim. One of the great things about tailoring is what once you figure out some of these basic principles, you can apply them to your own dress: collar hugs neck, things hang cleanly, flowing lines, etc.
King of Spain at the final day of Wimbledon. This looks great.
Very rare to see this level of tailoring nowadays, even on the wealthy. So let's talk about some of the reasons why it's great. 🧵
this is wild — kNN using a gzip-based distance metric outperforms BERT and other neural methods for OOD sentence classification
intuition: 2 texts similar if cat-ing one to the other barely increases gzip size
no training, no tuning, no params — this is the entire algorithm: