328091 comments

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  I like the distinction between parallel and sequential chats: getting several models to weigh in at once can surface disagreements before one answer sets the direction. I’d be cautious about treating a Super Mind synthesis as a verdict, though http://www.instapaper.com/read/2051703784

  Leah Kelly Saturday, 24 October 2026 13:25 Comment Link
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  The blind-vote setup is useful because it asks people to judge the answers before seeing the model names, but a small lead can still be noisy. I’d be curious whether the upgrade holds up across different prompt categories, not just the overall score how to follow Meta Llama releases

  Derek Ortega Saturday, 24 October 2026 13:24 Comment Link
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  The blind-vote results seem more useful than a polished launch demo, especially when small upgrades can be hard to notice in everyday use https://trentonsexcellentthoughtss.evergrovio.com/posts/why-do-fast-follow-up-model-releases-under-45-days-disappoint

  Carolyn Wells Saturday, 24 October 2026 13:20 Comment Link
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  have you ever enrolled in math tuition Saturday, 24 October 2026 13:19 Comment Link
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  I like the distinction between parallel and sequential chats; it makes the workflow feel more practical than simply asking several models the same thing. The reminder that agreement is not proof is especially useful when the answers sound convincing Check over here

  Beatrice Roberson Saturday, 24 October 2026 13:19 Comment Link
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  As a product manager, I’m curious whether Sequential vs Super Mind makes a noticeable difference when comparing model outputs for customer research chat with multiple AI

  Lucile Dennis Saturday, 24 October 2026 13:18 Comment Link
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  The blind-vote results are a useful check on whether an upgrade feels better to people, not just on paper. I’d be cautious about drawing conclusions from a small sample, though; 100 votes could still hide differences between prompts http://wiki-club.win/index.php/How_Do_I_Cite_the_AI_Models_Index_Properly%3F

  Charlie Ruiz Saturday, 24 October 2026 13:16 Comment Link
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  I like the distinction between running models in parallel and asking them to respond sequentially; it makes the workflow feel more deliberate than simply collecting opinions http://oliviasinsightfulthoughts.novacrestiq.com/posts/i-have-a-client-proposal-should-i-use-parallel-or-sequential-ai-review

  Barbara Lamb Saturday, 24 October 2026 13:16 Comment Link
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  I like that Suprmind offers Sequential and Super Mind. For an IC memo, I’d compare a step-by-step thesis with a broader synthesis before sharing either with the team. That could help surface assumptions early https://rileysnewcolumn.readspirex.com/posts/does-debate-mode-keep-minority-views-or-does-it-just-average-everything

  Chester Woods Saturday, 24 October 2026 13:15 Comment Link
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  The blind-vote results seem more useful than a polished launch demo, especially when small model upgrades can be hard to notice in everyday use latest AI agent model releases

  Noah Welch Saturday, 24 October 2026 13:13 Comment Link