开启时会模糊预览图,关闭后正常显示

Many of you are probably familiar with the preferential attachment model (also known as Barabasi-Albert), which is a growing random graph process, where each new node attach to an existing ones with probability proportional to their degrees. This is very similar to how a network like X grows (popular accounts attract more and more followers). (beautiful gif by Igor Kortchemski)


Co-Founder, American Dynamism. General Partner @a16z. Catholic. Mother. American. 🇺🇸 🚀💪


Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.


Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.


(imagine a bottle of champagne pictured) and celebrating w/ champagne from our great friends @PenlandTaylor and @aalixmarie


this is @DataFast_ btw by @marclou
