SPEAKER_03 argues that sufficiently capable in-context learning could let models avoid finance-specific training by learning from books on the fly and adapting their work to the relevant jurisdiction.

“I mean, if the models were good enough at learning in context, then in theory,”

“you wouldn't need to train them on finance.”

“They would just be able to figure out, read all the books on the fly and figure out how to do everything in the appropriate jurisdiction.”