1657629 comments

• Comment Link
  Dorothy Nash

  Sábado, 24 Octubre 2026 13:42

  I found the distinction between parallel and sequential chats useful, especially when I want independent first takes rather than a response that builds on the last one. I’d use parallel mode for a Red Team pass multi AI for HR policies
• Comment Link
  Larry Williamson

  Sábado, 24 Octubre 2026 13:39

  I like the distinction between parallel and sequential chats: getting several models to weigh in at once seems useful for surfacing different angles, while a sequence can build on earlier answers multi model AI vs Claude
• Comment Link
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  Sábado, 24 Octubre 2026 13:33

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• Comment Link
  Christina Glover

  Sábado, 24 Octubre 2026 13:32

  The blind-vote results seem more useful than a polished launch demo, especially when small upgrades can be hard to notice in everyday use latest AI models releases
• Comment Link
  Tony Simon

  Sábado, 24 Octubre 2026 13:26

  I could use Suprmind for an M&A pre-mortem, especially to pressure-test assumptions before they reach the IC memo chat with multiple AI
• Comment Link
  Jean Romero

  Sábado, 24 Octubre 2026 13:25

  I like the idea of running models in parallel when I want contrasting perspectives, rather than having one model’s answer steer the next. It seems especially useful for spotting assumptions early http://megan_coleman80.raindrop.page/bookmarks-76402942
• Comment Link
  Marie Allen

  Sábado, 24 Octubre 2026 13:23

  The blind-vote results are a useful reality check, since benchmark gains don’t always translate into a better everyday experience. Even a 2-point lead could mean something different depending on the prompts people tried https://www.magcloud.com/user/brianna-nguyen87
• Comment Link
  Rosa Mack

  Sábado, 24 Octubre 2026 13:20

  The blind-vote results seem more useful than a polished launch demo, especially when small model upgrades can change how answers feel in everyday use. I’d be curious whether the ranking holds across different task types, not just general prompts https://privatebin.net/?ed102ffad983944f#DXQ5pavxon1cCgHNp1hTGPBdAHojDmDBJgivR1ZCaHw8
• Comment Link
  Jackson Quinn

  Sábado, 24 Octubre 2026 13:18

  As a product manager, I can see multi-model orchestration helping with research summaries where one model’s blind spots can derail the whole draft. The reported 35 multi AI tool for analytics
• Comment Link
  Gerald Moran

  Sábado, 24 Octubre 2026 13:15

  I like the reminder that agreement is not proof, especially when several models are weighing in at once. A confident consensus can still repeat the same blind spot AI multiple