In the Polylog video about the P vs NP problem, the main goal was presenting the topic in an easily understandable way while omitting technical details. The content explores different perspectives on the problem, framing it as efficiently computing a function or inverting it. The author emphasizes the importance of the question’s fundamental nature and presents various forms of satisfiability problems. There’s a clever comparison between converting algorithms into circuits and neural networks’ backpropagation algorithm, highlighting the power of efficiently inverting functions. Additionally, the article touches on decision problems, complexity classes like NP-intermediate problems, and the practical application of deep learning in inverting functions.
https://vasekrozhon.wordpress.com/2024/08/18/what-p-vs-np-is-actually-about/