The speaker argues that machine learning needs a synthesis that integrates existing results into a coherent narrative instead of concentrating only on producing the next paper.

“still it's it's dimension it's it doesn't care about all the other dimensions. So but you would need to have something like a standard work, which actually kind of looks at this and”

“combines all of this. So something that doesn't figure out like the the next paper,”

“but something that actually goes and writes down kind of tries to figure out how do all of these things fit into one coherent narrative and I'm not sure whether deep learning as it's like machine learning as it's predication right now is actually equipped to do that because right now the the pace is so fast and like you you have like the”