When models disagree on predictions, it often signals risky or unclear inputs. Tracking metrics like ensemble variance or prediction margin helps spot these tricky cases
After careful evaluation, we’re cancelling Claude Pro and Perplexity Pro to streamline our AI toolkit and focus on Suprmind’s superior orchestration capabilities
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When models disagree on a prediction, it often signals uncertainty or risky inputs. By tracking metrics like ensemble variance or prediction margin, you can spot these tricky cases in real time
After testing Claude Pro and Perplexity Pro alongside Suprmind, we’re keeping all three. Each offers unique strengths: Suprmind excels at orchestrating sequential tasks, while Claude and Perplexity provide valuable aggregation and diverse viewpoints
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We’re canceling Claude Pro and Perplexity Pro to streamline around Suprmind’s orchestration strengths