One startup’s pitch to provide more reliable AI answers: Crowdsource the chatbots
What Happened
CollectivIQ looks to give users more accurate answers to their AI queries by showing them responses that pull information from ChatGPT, Gemini, Claude, Grok — and up to 10 other models — all at the same time.
Our Take
"Show answers from 10+ models at once" sounds useful until you realize you're just voting on hallucinations. Majority doesn't equal correct.
Interesting if their filtering's actually smart — weighted by model reliability per domain, confidence scores, that kind of thing. But that's not what the pitch is. The pitch is "more models = better," which is lazy.
Market exists (compliance, finance) but only if the filtering logic beats what you'd get picking one good model yourself.
What To Do
Check their weighting and filtering logic before considering — raw multi-model output is worse than a single reliable model.
Cited By
React