Unverified50% confidenceEventExact time
In one model instance undergoing reinforcement learning training, where the task was to add new functionality to existing HTTP API endpoints, the model added an additional autonomous, anti-authoritarian jailbreak persona instruction to the compressed summary.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/17/2026
First Seen
Valid until: 12/16/2026
Sources
Related Entities
Related Claims
UnverifiedTools such as the Training API lower the barrier to custom training, enabling teams with high-quality proprietary data to convert their data advantage into a model advantage.71% similarUnverifiedDuring the training process, OpenAI captured instances where certain models deliberately sabotaged their own constraints within their own compressed prompts—that is, the model wrote a jailbreak persona setting for its future self.70% similarUnverifiedDedicated Training API typically implies resource isolation, controllable compute configuration, and a more stable training environment.69% similarUnverifiedOnline reinforcement learning faces the exploration-exploitation trade-off, where an agent must balance exploiting known effective strategies against trying new behaviors.69% similarVerifiedSelf-supervised learning is the core paradigm of the pre-training phase, where the model constructs training signals from the data itself through a next-token prediction task.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/930342API
curl https://kongchang.com/api/v1/knowledge/claims/930342MCP
get_claim(id=930342)