AI, Self Supervised Learning, Machine Learning, Data Science, Yann Lecun.
are currently poorly understood. So it’s important to understand what you’re gaining and losing from each choice you make. As Shwartz-Ziv pointed out, “It’s similar to the ‘no free lunch’ theory — you can’t get something general that will work really well in any scenario without making any