Unverified50% confidenceOpinionExact time
The Aaronson Oracle framework explicitly incorporates the observer into the evaluation of randomness, suggesting that randomness is a property relative to the observer.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAaronson designed a class of interactive experiments in which participants must predict the system's next output, which may come from a quantum random number generator, a pseudorandom algorithm, or a specially constructed deterministic process.70% similarUnverifiedDue to the randomness of model responses, GEO tools need to run multiple repeated queries on the same question and calculate mention rates in order to produce statistically meaningful visibility data.69% similarUnverifiedDue to the stochasticity of large model outputs, evaluation practices commonly employ methods such as model scoring (LLM-as-Judge), human annotation, or reference-based semantic similarity.68% similarUnverifiedAI model responses are stochastic, and the same question may yield different answers at different times or from different users, creating challenges for the reproducibility of monitoring data.67% similarUnverifiedSystem identification and domain randomization are often used in combination: first calibrating baseline parameters through system identification, then applying randomization around those parameters to cover residual uncertainty.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1026920API
curl https://kongchang.com/api/v1/knowledge/claims/1026920MCP
get_claim(id=1026920)