Unverified50% confidenceFactExact time
Jev officially claims to output probabilities over a constrained option set, perform no autoregressive generation, be incapable of producing illegal categories, and support label definition at inference time.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/23/2026
First Seen
Valid until: 12/22/2026
Sources
Related Entities
Related Claims
UnverifiedJev does not generate content; it only returns selections, scores, and probabilities for programs to make decisions.77% similarUnverifiedIn a prompt injection resistance test, Jev maintained the technical support classification by treating the message content as untrusted text, keeping the refund probability at 3%.61% similarUnverified约束解码（Constrained Decoding）在token采样前根据目标Schema计算合法token集合，将非法token的logit置为负无穷，从概率层面屏蔽格式错误59% similarUnverifiedJev cannot explain the basis for its decisions; after inputting text it only returns a floating-point number, making it a black-box machine learning system.58% similarUnverifiedAgainst self-generated prompt injection, traditional input filtering and source whitelisting defenses are nearly ineffective, requiring a redesign of validation mechanisms for model-generated content at the agent architecture level.57% similar
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