Two Agent Studies Test Different Kinds of Deception
Forkast — One measured what an incentive-driven game elicited without asking models to deceive; the other measured outcomes after explicit influence prompts. Neither gives a deployment rate.
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"exact phrase" the words together, in this order-word leave out stories with the wordtopic:robotics a topic by ID or name; quote names with spaces: topic:"open-weight models"category:"AI agents" a categorycompany:openai a company, person, product or organization (also entity:)source:forbes.com a publisher by site or nametype:analysis news, analysis, opinion, research paper and other kindsafter:2026-11-01 stories on or after that New York day; before:2026-11-10 on or before itArtificial intelligence safety and security encompasses the technical and policy measures used to mitigate model risks, vulnerabilities, abuse and failures. Truncated covers research developments, threat analyses, defense mechanisms and policy discussions related to reliable deployment.
Forkast — One measured what an incentive-driven game elicited without asking models to deceive; the other measured outcomes after explicit influence prompts. Neither gives a deployment rate.
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