If AI labor can use compute comparable to the compute for a seven-figure experiment, automated researchers could spend the equivalent of a century planning the experiment, running small-scale ablations, and developing theory before the experiment.

“um some sort of singularity very rapidly without even scaling up the inputs to ai progress that are not just ai labor is that before every single experiment you run that's you know like a seven figure experiment you spend an equivalent amount of compute on ai labor and so you just have automated versions of you guys spending a century uh thinking about like what is the optimal experiment to run um do you like small scale ablations”

“developing literally like a century's worth of theory so going back even before like deep learning before you decide what experiment to run doing extremely optimal like setting up of the experiment then you do a century of thinking after the experiment is over where you're like analyzing what happened and what the next experiment to run is”