I'm not sure to whom he is responding, since no one is claiming LoRA performs as well as traditional fine tuning. If you click through to the original Tweet he shared, it says "when you have a lot of data and limited compute go for LoRA, while with limited data and ample compute go for full finetuning" which I think is absolutely correct and few would disagree. As these models get bigger and bigger though, fewer and fewer people are going to have the "ample compute" required for full fine tuning.