Unverified50% confidenceFactExact time
When models are exposed to the complete timeline, they exhibit stable, hindsight-sensitive answer shifts, tending to provide answers consistent with known outcomes but not reasonable at the decision point.
1
Sources
50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe study found that even when prompts explicitly instruct the model to answer from a prospective perspective, the model is still influenced by outcome information already present in the context, and physical truncation is the effective means of blocking hindsight bias.76% similarUnverifiedWhen a model fails to converge after a long time, one should first examine whether the input state representation is reasonable, rather than blindly tuning hyperparameters.76% similarUnverifiedA Poisson process requires the assumptions of event independence and stationarity, whereas OpenAI's reset decisions are human-driven; therefore, the reset probability estimate is better used as a perceptual calibration reference than as a rigorous predictive model.73% similarUnverifiedAligned models tend to proactively introduce disclaimers or interrupt conversation flow when handling hypothetical reasoning and role-playing tasks, behaviors that are almost nonexistent in base models.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/921860API
curl https://kongchang.com/api/v1/knowledge/claims/921860MCP
get_claim(id=921860)