The idea gets tested. The brief that comes out builds the MVP. The MVP gets checked for how AI engines describe it back.
Same balance of credits the whole way.
The idea gets tested. The brief that comes out builds the MVP. The MVP gets checked for how AI engines describe it back.
Same balance of credits the whole way.
Out comes a score, a confidence read, and a dissent map – the exact claims where the models refused to converge.
I read the disagreement before the score.
Out comes a score, a confidence read, and a dissent map – the exact claims where the models refused to converge.
I read the disagreement before the score.
Ask five, separately, and they stop agreeing. Where they split is the part that carries information.
ewpire is on Product Hunt today: www.producthunt.com/products/ewp...
Ask five, separately, and they stop agreeing. Where they split is the part that carries information.
ewpire is on Product Hunt today: www.producthunt.com/products/ewp...
Zero: nobody has heard of you.
One: they answer confidently and wrong.
Nobody complains about the second. They just don't arrive.
We ran it on ourselves, twice:
ewpire.com/articles/how...
Zero: nobody has heard of you.
One: they answer confidently and wrong.
Nobody complains about the second. They just don't arrive.
We ran it on ourselves, twice:
ewpire.com/articles/how...
Our visibility check found a single ewpire.com page in the index - the FAQ, under a title replaced in July. Homepage, pricing and the comparison page were absent. Everything correct we had published was unreachable.
Our visibility check found a single ewpire.com page in the index - the FAQ, under a title replaced in July. Homepage, pricing and the comparison page were absent. Everything correct we had published was unreachable.
We ran our own visibility check on ourselves: the index answered our pricing question with a figure we retired in July, taken from a cached copy of our own page. The live page had been correct for weeks.
We ran our own visibility check on ourselves: the index answered our pricing question with a figure we retired in July, taken from a cached copy of our own page. The live page had been correct for weeks.
Each answers independently, then they challenge each other's answers. You get a confidence score and a dissent map, not one confident guess.
First report is free - 20 credits, no card.
ewpire.com
Each answers independently, then they challenge each other's answers. You get a confidence score and a dissent map, not one confident guess.
First report is free - 20 credits, no card.
ewpire.com
The two results everyone cites for multi-model AI both measure ONE model. Self-consistency is a decoding trick; the debate paper ran three copies of gpt-3.5. An ICLR replication found debate loses to plain self-consistency.
The two results everyone cites for multi-model AI both measure ONE model. Self-consistency is a decoding trick; the debate paper ran three copies of gpt-3.5. An ICLR replication found debate loses to plain self-consistency.
ICML 2025, 350+ models: when two models are both wrong, they give the same wrong answer about 60% of the time on HELM - against a 33% chance baseline. Different labs, different architectures, same mistake.
ICML 2025, 350+ models: when two models are both wrong, they give the same wrong answer about 60% of the time on HELM - against a 33% chance baseline. Different labs, different architectures, same mistake.
Five frontier models from different labs: independent proposals, forced critique, one synthesis - with a confidence score and a dissent map of where they split.
First consensus report is free - 20 credits, no card. ewpire.com
Five frontier models from different labs: independent proposals, forced critique, one synthesis - with a confidence score and a dissent map of where they split.
First consensus report is free - 20 credits, no card. ewpire.com
"Great Models Think Alike and this Undermines AI Oversight" (arXiv 2502.04313): models trained on overlapping data make correlated errors. Agreement is not verification - independence is.
"Great Models Think Alike and this Undermines AI Oversight" (arXiv 2502.04313): models trained on overlapping data make correlated errors. Agreement is not verification - independence is.