Looking forward to seeing how general reasoning vs specialization evolve. Will we fine tun general reasoning models on specific types of intelligence the same way vision models will start with imagenet backbones.... especially seeing more and more RL at the planning level, is meta learning going to be the next wave
This is a great point -- will definitely be interesting to see hyperspecialized reasoning models. Like, instead of training a reasoning model on all kinds of math, science, and coding questions, if you only trained it on a specific kind of coding task, could it get really really good at that? Or is it the generalization that actually leads to high performance? Excited to see what Code Metal builds in this space
Fantastic article, Maggie!
Thanks so much for taking the time to read, Sid!
Looking forward to seeing how general reasoning vs specialization evolve. Will we fine tun general reasoning models on specific types of intelligence the same way vision models will start with imagenet backbones.... especially seeing more and more RL at the planning level, is meta learning going to be the next wave
This is a great point -- will definitely be interesting to see hyperspecialized reasoning models. Like, instead of training a reasoning model on all kinds of math, science, and coding questions, if you only trained it on a specific kind of coding task, could it get really really good at that? Or is it the generalization that actually leads to high performance? Excited to see what Code Metal builds in this space