The speaker says that writing a comprehensive deep-learning theory book during a PhD would be impractical because the field could make it outdated and useless before completion, and parts of it might be wrong.

“I don't know maybe it's it's just me, maybe I'm just unlucky, but if I look at the papers I'm reviewing, they're really incremental all of them. And I I I don't fault all of all of the people there for for publishing like this, because first of all it's got re it's rewarded, and secondly, it doesn't make sense to go and say, well I'm setting up a big deep learning theory, I I write this book uh over over my P_H_D_ like I I don't do cumulative, I actually do a manuscript, I I have in the end,”

“my exactly five thousand pages big book where I categorize everything that is is to know by the time you're done it's going to be completely out of date and useless like probably lots of things you write in there are completely wrong so I think that right now there is no that there is no way to have like of course we have a theory of deep learning I talked about the this paper like this there will be a theory of deep learning it's kind of a vacuous statement because”