I appreciate this as an initial step toward more transparent reporting on RSI. But there is still much further data we need to fully understand RSI. In particular, OAI disclosed some evidence about the inference compute usage, number of experiments/researcher, and to a lesser extent, how researchers interact with models of different capabilities (see the green boxes in the diagram). However, the evidence they provided is just on the input side (tokens, lines of code). We urgently need to know how these inputs get turned into algorithmic improvements and [probably internally deployed] AI capabilities. Even just a simple time series on those outcome variables would be extremely valuable. You can then know, as AI helps researchers do more AI R&D, how the corresponding algorithm efficiency grows (the blue arrow C -> A dot). Right now we are missing this key puzzle piece.