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• Gordon Knight Thursday, 12 February 2015

  I like the point that parallel and sequential chats serve different purposes: parallel answers make it easier to compare perspectives, while sequential discussion can build on earlier reasoning. I’d be curious how you decide when to switch between them multiple AI chat
• Josephine Bowman Thursday, 12 February 2015

  I like the distinction between parallel and sequential chats because it makes clear that getting several AI opinions at once isn’t the same as having them challenge each other. The reminder that agreement is not proof is especially useful http://rileysnewcolumn.readspirex.com/posts/what-is-a-good-checklist-for-comparing-frontier-ai-models-on-one-task
• Garrett Warren Thursday, 12 February 2015

  I like the reminder that having several models weigh in doesn’t automatically make an answer reliable. The point that “agreement is not proof” is especially useful when a Super Mind synthesis makes different replies sound settled multi AI for sales emails
• Marvin Erickson Thursday, 12 February 2015

  I like the reminder that agreement is not proof; a confident answer can still be wrong. I’d rather see one model challenge another in a Red Team pass than simply collect matching responses You can find out more
• Callie Ballard Thursday, 12 February 2015

  I like the distinction between parallel and sequential chats because it makes clear that getting several AI answers at once isn’t the same as having them build on each other. How do you decide when a sequential discussion is worth the extra time? multi AI platform alternative
• John Todd Thursday, 12 February 2015

  I like the distinction between parallel and sequential chats because it shows when I’m comparing independent answers versus building on one response. I’d probably use parallel mode first for research multi AI for code review
• Hunter Webster Thursday, 12 February 2015

  I like the distinction between parallel and sequential chats, especially the point that agreement is not proof. Having models respond independently before comparing answers seems more useful than letting one model shape the others’ conclusions http://inkmeridianx.com/s/3ID_4xHcJaPSTHDQBLAJa
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