AI labs may find internal AI use valuable enough to continue recursive self-improvement instead of building classifiers and safeguards or externally deploying models, potentially ceasing external model releases altogether.

“the internal use case of ai is big enough that they're like okay we can just keep doing rsi why are we like going to go through all this extra work to build classifiers and safeguards and whatever um and potentially take a bunch of like flack uh in order to like externally deploy this model why don't we just keep doing rsi stronger and stronger and so the the not only does the calendar time under rate the capabilities gap between the models but maybe like you just like stop externally deploying models”

“models altogether doing RSI because why do we want to help other people do RSI themselves with our models you just end up a situation with like tremendous concentration of power by the end of the year where right now it is already the case we'll talk about this with the million price problem and other similar problems that”