It isn't a quantitative model unless you give a prediction of some kind. In this case, dates (or date ranges) would make sense.
1. When do you predict catastrophic global warming/climate change? How do you define "catastrophic"? (Are you pegging to an average temperature increase? [1])
2. When do you predict AGI?
How much uncertainty do you have in each estimate? When you stop and think about it, are you really willing to wager that (1) will happen before (2)? You think you have enough data to make that bet?
1. When do you predict catastrophic global warming/climate change? How do you define "catastrophic"? (Are you pegging to an average temperature increase? [1])
2. When do you predict AGI?
How much uncertainty do you have in each estimate? When you stop and think about it, are you really willing to wager that (1) will happen before (2)? You think you have enough data to make that bet?
[1] I'm not an expert in the latest recommendations, but I see that a +2.7°F increase over preindustrial levels by 2100 is a target by some: https://news.mit.edu/2023/explained-climate-benchmark-rising...