AI Roundtable vs Sup AI

“Multi-model deliberation is how we will make important decisions in five years. Seeing where models agree gives you real signal — and where they diverge reveals your blind spots. AI Roundtable makes this accessible to anyone right now.”

“Confidence-weighted ensembling is the quiet breakthrough everyone is sleeping on. Individual models plateau — but smart aggregation keeps pushing the frontier. Sup AI scoring 52% on Humanity's Last Exam when no single model breaks 40% proves the thesis.”

“Fun demo, questionable utility. Most models are trained on similar data so you get correlated opinions, not independent perspectives. The "debate" is often just paraphrasing. I would rather get one great answer from the best model than 200 mediocre ones.”

“The benchmark result is legitimately impressive and the methodology is transparent. My concern is latency — querying multiple models and aggregating adds significant time. For research and high-stakes questions it is worth the wait. For everyday chat it is overkill.”

“The engineering behind routing to 200+ models in parallel is solid. As a tool for evaluating model capabilities across providers it is genuinely useful — I used it to compare how different models handle ambiguous coding questions before picking my agent's backbone.”

“No API, no self-hosting option, and the ensemble approach means your per-query cost is 3-5x a single model call. The benchmark numbers are compelling but I cannot integrate this into a product. Ship an API and I will reconsider.”