Round 3
One saved weekly assessment of Efficient quantum sampling exceeds efficient classical sampling., kept as it was published. It is an estimate from three models reading the evidence, not proof the hypothesis holds, and it did not set any price.
- Published
- Nov 02, 2026 09:33 AM EST
- Estimate
- 49%
- Model spread
- This round did not come from three live models, so it has no model spread to show.
- Confident binary
- No unanimous verdict this round.
- Methodology
- panel-v9
- Round hash
96f6d992ed00fba0f3dda04f115373c5d2f79ba8e377eeb667f7e529f767500e
The hash commits to this round's recorded bytes. It does not prove the wording is sound or that the science is right.
local-fallback
No model provider is configured in this build, so this number is a deterministic placeholder around the market's prior score. It is not model output and should not be read as an assessment.
No sources recorded for this answer.
local-fallback
No model provider is configured in this build, so this number is a deterministic placeholder around the market's prior score. It is not model output and should not be read as an assessment.
No sources recorded for this answer.
local-fallback
No model provider is configured in this build, so this number is a deterministic placeholder around the market's prior score. It is not model output and should not be read as an assessment.
No sources recorded for this answer.
Round 3: score 0.49
Live panel did not return all three estimates (OpenAI, Anthropic, xAI failed or gave an unusable answer). A round is only live when all three are valid, so this round is a placeholder at the previous score rather than an average of two.
No audit bundle is recorded for this round. A bundle from another round is not substituted for it.