Normally “open science” is supposed to accelerate scientific progress—that’s always been one of the main selling points of open science, that open science advocates bring up constantly. But you have “total research transparency” upstream of “limits on speed of algorithmic progress”, which is the opposite. Is there a quick explanation for what the disanalogies are and how they explain the difference? (Sorry if it’s obvious … I haven’t read AI-2040 let alone the supplements.)
Both boxes are blue, meaning they are both key interventions we recommend. While one helps enable the other, we don’t think doing one is sufficient to cause the other. In addition to the transparency we also recommend the limits.
Normally “open science” is supposed to accelerate scientific progress—that’s always been one of the main selling points of open science, that open science advocates bring up constantly. But you have “total research transparency” upstream of “limits on speed of algorithmic progress”, which is the opposite. Is there a quick explanation for what the disanalogies are and how they explain the difference? (Sorry if it’s obvious … I haven’t read AI-2040 let alone the supplements.)
Both boxes are blue, meaning they are both key interventions we recommend. While one helps enable the other, we don’t think doing one is sufficient to cause the other. In addition to the transparency we also recommend the limits.