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It's optimization for PR and defense against bad press. For every question, a subtext is: "Who is likely to input that question, how likely are they to input it
by ankit219 4y ago
It's optimization for PR and defense against bad press. For every question, a subtext is: "Who is likely to input that question, how likely are they to input it, and if the answer is bad by their belief system, they are likely to tell the world and/or outrage about it?"
A general model of operation in creating outrage[1] is:
1. Find the most extreme example of X
2. Tell the world.
Democrats and left leaning were more likely to do that. And openai optimized for that. It's a smart move.
[1]:https://betonit.substack.com/p/anti-woke-from-outrage-to-action https://betonit.substack.com/p/anti-woke-from-outrage-to-act...
- bloaf 4y agoI agree. The hate metric is calibrated against responsiveness to insult, not a ranking of social advantage.