I've been around the block a few times. When deep learning first became hot, many older colleagues bemoaned it as just tinkering + chain rule, and not intellectually satisfying. Then came SSL, equivariance, VAEs, GANs, neural ODEs, transformers, diffusion, etc. The richness was staggering. 🧵👇

Vicki@vickiboykis.com · 2y ago

Great post that captures the tension between classic ML approaches and modern deep learning while acknowledging the nuances of both. “Working with LLMs doesn’t feel the same. It’s like fitting pieces into a pre-defined puzzle instead of building the puzzle itself.” www.reddit.com/r/MachineLea...