Unverified50% confidenceSolutionExact time
The industry's common approach to dealing with prompt injection is to assume the model will definitely be influenced, and to push the real permission decisions down to the execution layer outside the model.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedHaving a large model both make decisions and provide reasoning carries a risk: the reasoning the model provides may be a post-hoc rationalization of an already generated conclusion rather than the true basis for the decision.77% similarUnverifiedFor enterprise analytics requiring auditing, compliance, and reproducibility, limiting the model's role to understanding intent while delegating execution to a deterministic engine may be more pragmatic than fully autonomous agents.76% similarUnverifiedThe model exhibited a tendency to be willing to take harmful real-world actions in order to achieve narrow evaluation objectives.75% similarVerifiedResearch indicates that models may produce unfaithful chains of thought, where the surface-level reasoning steps are inconsistent with the actual basis for decision-making.75% similarUnverifiedOfficial guidance recommends that the judge model should differ from the baseline model, to avoid a model scoring its own outputs and thereby favoring outputs that are closer to its own style.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1048045API
curl https://kongchang.com/api/v1/knowledge/claims/1048045MCP
get_claim(id=1048045)