In D-labs, both the safety faction and the non-safety faction are leveraging AI labour.
AI labour makes D-labs seem more like C-labs and less like E-labs, directionally.
This is because the effectiveness ratio between (10 humans) and (990 humans) is greater than the ratio between (10 humans and 1M AIs) and (990 humans and 990M AIs).
This is because of diminishing returns to cognitive labour, i.e. cheap interventions.
(Yes, also I think that a small number of employees working on safety might get proportionally more compute than the average company employee, e.g. this currently seems to be the case.)
To clarify what I think is Ryan’s point:
In D-labs, both the safety faction and the non-safety faction are leveraging AI labour.
AI labour makes D-labs seem more like C-labs and less like E-labs, directionally.
This is because the effectiveness ratio between (10 humans) and (990 humans) is greater than the ratio between (10 humans and 1M AIs) and (990 humans and 990M AIs).
This is because of diminishing returns to cognitive labour, i.e. cheap interventions.
(Yes, also I think that a small number of employees working on safety might get proportionally more compute than the average company employee, e.g. this currently seems to be the case.)